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Admin : merge remote into local

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journal/Readme.md 0 → 100644
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# Journal de bord du Mooc / Mooc's logbook
FR
Espace réservé au journal de bord du Mooc
EN
Reserved for the Mooc's logbook
\ No newline at end of file
module1/exo2/fichier-markdown.md 0 → 100644
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# Partie 1
## Sous-partie 1 : texte
Une phrase sans rien
*Une phrase en italique*
**Une phrase en gras**
Un lien vers [fun-mooc.fr](https://www.fun-mooc.fr/)
Une ligne de `code`
## Sous-partie 2 : listes
**Liste à puce**
- item
- sous-item
- sous-item
- item
- item
**Liste numérotée**
1. item
2. item
3. item
## Sous-partie 3 : code
```
# Extrait de code
```
\ No newline at end of file
module2/exo1/.ipynb_checkpoints/toy_notebook_en-checkpoint.ipynb 0 → 100644
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# On the computation of $\\pi$"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Asking the maths library\n",
"My computer tells me that $\\pi$ is _approximatively_"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"hideCode": false,
"hidePrompt": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"3.141592653589793\n"
]
}
],
"source": [
"from math import *\n",
"print(pi)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Buffon’s needle\n",
"Applying the method of [Buffon’s needle](https://en.wikipedia.org/wiki/Buffon%27s_needle_problem), we get the __approximation__"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3.128911138923655"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"np.random.seed(seed=42)\n",
"N = 10000\n",
"x = np.random.uniform(size=N, low=0, high=1)\n",
"theta = np.random.uniform(size=N, low=0, high=pi/2)\n",
"2/(sum((x+np.sin(theta))>1)/N)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Using a surface fraction argument\n",
"A method that is easier to understand and does not make use of the sin function is based on the\n",
"fact that if $X\\sim U(0, 1)$ and $Y\\sim U(0, 1)$, then $P[X^2 + Y^2\\le 1] = \\pi/4$ (see [\"Monte Carlo method\"\n",
"on Wikipedia](https://en.wikipedia.org/wiki/Monte_Carlo_method)). The following code uses this approach:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"\n",
"np.random.seed(seed=42)\n",
"N = 1000\n",
"x = np.random.uniform(size=N, low=0, high=1)\n",
"y = np.random.uniform(size=N, low=0, high=1)\n",
"accept = (x*x+y*y) <= 1\n",
"reject = np.logical_not(accept)\n",
"\n",
"fig, ax = plt.subplots(1)\n",
"ax.scatter(x[accept], y[accept], c='b', alpha=0.2, edgecolor=None)\n",
"ax.scatter(x[reject], y[reject], c='r', alpha=0.2, edgecolor=None)\n",
"ax.set_aspect('equal')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It is then straightforward to obtain a (not really good) approximation to $\\pi$ by counting how\n",
"many times, on average, $X^2 + Y^2$ is smaller than 1:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3.112"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"4*np.mean(accept)"
]
}
],
"metadata": {
"celltoolbar": "Hide code",
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
module2/exo1/toy_document_en.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Your title"
author: "Your name"
date: "Today's date"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Some explanations
This is an R Markdown document that you can easily export to HTML, PDF, and MS Word formats. For more information on R Markdown, see <http://rmarkdown.rstudio.com>.
When you click on the button **Knit**, the document will be compiled in order to re-execute the R code and to include the results into the final document. As we have shown in the video, R code is inserted as follows:
```{r cars}
summary(cars)
```
It is also straightforward to include figures. For example:
```{r pressure, echo=FALSE}
plot(pressure)
```
Note the parameter `echo = FALSE` that indicates that the code will not appear in the final version of the document. We recommend not to use this parameter in the context of this MOOC, because we want your data analyses to be perfectly transparent and reproducible.
Since the results are not stored in Rmd files, you should generate an HTML or PDF version of your exercises and commit them. Otherwise reading and checking your analysis will be difficult for anyone else but you.
Now it's your turn! You can delete all this information and replace it by your computational document.
module2/exo1/toy_document_fr.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Votre titre"
author: "Votre nom"
date: "La date du jour"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Quelques explications
Ceci est un document R markdown que vous pouvez aisément exporter au format HTML, PDF, et MS Word. Pour plus de détails sur R Markdown consultez <http://rmarkdown.rstudio.com>.
Lorsque vous cliquerez sur le bouton **Knit** ce document sera compilé afin de ré-exécuter le code R et d'inclure les résultats dans un document final. Comme nous vous l'avons montré dans la vidéo, on inclue du code R de la façon suivante:
```{r cars}
summary(cars)
```
Et on peut aussi aisément inclure des figures. Par exemple:
```{r pressure, echo=FALSE}
plot(pressure)
```
Vous remarquerez le paramètre `echo = FALSE` qui indique que le code ne doit pas apparaître dans la version finale du document. Nous vous recommandons dans le cadre de ce MOOC de ne pas utiliser ce paramètre car l'objectif est que vos analyses de données soient parfaitement transparentes pour être reproductibles.
Comme les résultats ne sont pas stockés dans les fichiers Rmd, pour faciliter la relecture de vos analyses par d'autres personnes, vous aurez donc intérêt à générer un HTML ou un PDF et à le commiter.
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces informations et les remplacer par votre document computationnel.
module2/exo1/toy_document_orgmode_R_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, R code is included as follows (and is
exxecuted by typing ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
And now the same but in an R session. This is the most frequent
situation, because R is really an interactive language. With a
session, R's state, i.e. the values of all the variables, remains
persistent from one code block to the next. The code is still executed
using ~C-c C-c~.
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Finally, an example for graphical output:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cars.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in R by typing ~<r~ or ~<R~ followed by
~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module2/exo1/toy_document_orgmode_R_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
R. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclut du code
R de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
Voici la même chose, mais avec une session R (c'est le cas le
plus courant, R étant vraiment un langage interactif), donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Et enfin, voici un exemple de sortie graphique:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cars.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, pour les prochains exercices, nous ne vous fournirons pas
forcément de fichier de départ, ça sera à vous de le créer, par
exemple en repartant de ce document et de le commiter vers
gitlab. N'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code R (en
faisant ~<r~ ou ~<R~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module2/exo1/toy_document_orgmode_python_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, Python code is included as follows (and
is exxecuted by typing ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
And now the same but in an Python session. With a session, Python's
state, i.e. the values of all the variables, remains persistent from
one code block to the next. The code is still executed using ~C-c
C-c~.
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Finally, an example for graphical output:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cosxsx.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in Python by typing ~<p~, ~<P~ or ~<PP~
followed by ~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module2/exo1/toy_document_orgmode_python_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
python. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclue du code
python de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
Voici la même chose, mais avec une session python, donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Et enfin, voici un exemple de sortie graphique:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cosxsx.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, n'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code python (en
faisant ~<p~, ~<P~ ou ~<PP~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module2/exo1/toy_notebook_fr.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo2/.ipynb_checkpoints/exo2_parts_2_and_3-checkpoint.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Exercise 02 (2nd part)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9, 12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n"
]
}
],
"source": [
"set = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n",
"print(set)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"min = 2.8\n",
"max = 23.4\n",
"mean = 14.11\n",
"med = 14.5\n",
"std = 4.33\n"
]
}
],
"source": [
"import numpy\n",
"from math import *\n",
"print(f'min = {min(set)}')\n",
"print(f'max = {max(set)}')\n",
"print(f'mean = {round(mean(set), 2)}')\n",
"print(f'med = {median(set)}')\n",
"print(f'std = {round(numpy.std(set, ddof=1), 2)}')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Exercise 02 (3rd part)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"plt.rcdefaults()\n",
"fig, ax = plt.subplots()\n",
"ax.set_xlim([0,100])\n",
"ax.set_ylim([0,25])\n",
"ax.plot(set)\n",
"plt.grid(True, linestyle='--')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"plt.rcdefaults()\n",
"fig, ax = plt.subplots()\n",
"ax.set_xlim([0,25])\n",
"ax.set_ylim([0,25])\n",
"ax.hist(set, edgecolor='black')\n",
"plt.grid(True, linestyle='--')\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
module2/exo2/exercice.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo2/exercice_R_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, R code is included as follows (and is
exxecuted by typing ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
And now the same but in an R session. This is the most frequent
situation, because R is really an interactive language. With a
session, R's state, i.e. the values of all the variables, remains
persistent from one code block to the next. The code is still executed
using ~C-c C-c~.
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Finally, an example for graphical output:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cars.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in R by typing ~<r~ or ~<R~ followed by
~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module2/exo2/exercice_R_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
R. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclut du code
R de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
Voici la même chose, mais avec une session R (c'est le cas le
plus courant, R étant vraiment un langage interactif), donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Et enfin, voici un exemple de sortie graphique:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cars.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, pour les prochains exercices, nous ne vous fournirons pas
forcément de fichier de départ, ça sera à vous de le créer, par
exemple en repartant de ce document et de le commiter vers
gitlab. N'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code R (en
faisant ~<r~ ou ~<R~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module2/exo2/exercice_en.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Your title"
author: "Your name"
date: "Today's date"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Some explanations
This is an R Markdown document that you can easily export to HTML, PDF, and MS Word formats. For more information on R Markdown, see <http://rmarkdown.rstudio.com>.
When you click on the button **Knit**, the document will be compiled in order to re-execute the R code and to include the results into the final document. As we have shown in the video, R code is inserted as follows:
```{r cars}
summary(cars)
```
It is also straightforward to include figures. For example:
```{r pressure, echo=FALSE}
plot(pressure)
```
Note the parameter `echo = FALSE` that indicates that the code will not appear in the final version of the document. We recommend not to use this parameter in the context of this MOOC, because we want your data analyses to be perfectly transparent and reproducible.
Since the results are not stored in Rmd files, you should generate an HTML or PDF version of your exercises and commit them. Otherwise reading and checking your analysis will be difficult for anyone else but you.
Now it's your turn! You can delete all this information and replace it by your computational document.
module2/exo2/exercice_en.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo2/exercice_fr.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Votre titre"
author: "Votre nom"
date: "La date du jour"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Quelques explications
Ceci est un document R markdown que vous pouvez aisément exporter au format HTML, PDF, et MS Word. Pour plus de détails sur R Markdown consultez <http://rmarkdown.rstudio.com>.
Lorsque vous cliquerez sur le bouton **Knit** ce document sera compilé afin de ré-exécuter le code R et d'inclure les résultats dans un document final. Comme nous vous l'avons montré dans la vidéo, on inclue du code R de la façon suivante:
```{r cars}
summary(cars)
```
Et on peut aussi aisément inclure des figures. Par exemple:
```{r pressure, echo=FALSE}
plot(pressure)
```
Vous remarquerez le paramètre `echo = FALSE` qui indique que le code ne doit pas apparaître dans la version finale du document. Nous vous recommandons dans le cadre de ce MOOC de ne pas utiliser ce paramètre car l'objectif est que vos analyses de données soient parfaitement transparentes pour être reproductibles.
Comme les résultats ne sont pas stockés dans les fichiers Rmd, pour faciliter la relecture de vos analyses par d'autres personnes, vous aurez donc intérêt à générer un HTML ou un PDF et à le commiter.
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces informations et les remplacer par votre document computationnel.
module2/exo2/exercice_fr.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo2/exercice_python_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, Python code is included as follows (and
is exxecuted by typing ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
And now the same but in an Python session. With a session, Python's
state, i.e. the values of all the variables, remains persistent from
one code block to the next. The code is still executed using ~C-c
C-c~.
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Finally, an example for graphical output:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cosxsx.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in Python by typing ~<p~, ~<P~ or ~<PP~
followed by ~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module2/exo2/exercice_python_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
python. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclue du code
python de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
Voici la même chose, mais avec une session python, donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Et enfin, voici un exemple de sortie graphique:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cosxsx.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, n'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code python (en
faisant ~<p~, ~<P~ ou ~<PP~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module2/exo2/exo2_parts_2_and_3.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Exercise 02 (2nd part)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9, 12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n"
]
}
],
"source": [
"set = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n",
"print(set)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"min = 2.8\n",
"max = 23.4\n",
"mean = 14.11\n",
"med = 14.5\n",
"std = 4.33\n"
]
}
],
"source": [
"import numpy\n",
"from math import *\n",
"print(f'min = {min(set)}')\n",
"print(f'max = {max(set)}')\n",
"print(f'mean = {round(mean(set), 2)}')\n",
"print(f'med = {median(set)}')\n",
"print(f'std = {round(numpy.std(set, ddof=1), 2)}')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Exercise 02 (3rd part)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"plt.rcdefaults()\n",
"fig, ax = plt.subplots()\n",
"ax.set_xlim([0,100])\n",
"ax.set_ylim([0,25])\n",
"ax.plot(set)\n",
"plt.grid(True, linestyle='--')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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tDyRpA4Csi9oVNKaHgEgYiHZ3IBwOo8/W0M7gHHGhEHEwjKMVnFG0R101vBGxomY07eFwGIZhDPv/n+zzSWuNvr4+hEKh+GvUZB/TeNuljWmsRrWLR2uNe+65B3/84x+xc+dOzJ49O+Hrs2fPRkFBQcLbAf39/di9ezeqq6tH1TGuyJbBtm00NjYyDwGYhRxZJvBwhYMs3kDXd5wXcvi6BmXt2rV44YUX8N///d/IycmJrzmZNm1avHq97777sGHDBsybNw/z5s3Dhg0bMGXKFKxZs8bTjhMREVH6GlWB8swzzwAAFi1alNC+ZcsW3H333QCABx54AOFwGD/96U9x+vRp3HLLLdixYwdycnI86TARERGlv1EVKFeynlYphbq6OtTV1Y21TyQMLyEtB7OQo4/vKIjBeZGexKY60oIgSq1AIIAVK1b43Q0Cs5Ak4ig8uF/sy2dG4byQw+vjttibBV58oSTyh+u66OzsZB4CMAs5DGiUT3NhDNvvQ6nGeSGH1xmILVCcZPvtKOUcx0FzczPzEIBZyBEwgZ980U24zgn5g/NCDq8zEFugEBERUeZigUJERETiiC1QLr5qKflDKZX0KrKUesxCDq1j99YZ241CyEucF3J4nYHYZejcNiaDZVlYvHix390gMAtJ+l2FTW/zNUoCzgs5fL3UfSpxRbYMA7e7Zx7+YxZymErj1jwXpuIpFL9xXsjBXTyUUo7joKWlhXkIwCzksAxg9Vw34e7D5A/OCzm4i4eIiIjSHgsUIiIiEkdsgcIV2TIopZCbm8s8BGAWcmgNtH6muItHAM4LObiLh1LKsixUV1f73Q0Cs5Ck31V4tpWXkZWA80KOjNnFwwVPMjiOg4MHDzIPAZiFHKbSWHatw108AnBeyJExi2S5ZUwG13XR1tbGPARgFnJYBlBbrLmLRwDOCzkyZpsxERERZS4WKERERCSO2ALFMMR2LaMYhoGSkhLmIQCzkMPVQPNJBZdLUHzHeSGH1xmI3SpjmlwhL4FpmqisrPS7GwRmIUnUVdj2EV+jJOC8kMPr47bYkpMrsmVwHAcHDhxgHgIwCzkChsaqOQ4CBk+h+I3zQg7u4qGUcl0X7e3tzEMAZiGHoYCqfA2D1wbzHeeFHNzFQ0RERGmPBQoRERGJI7ZA4YpsGQzDQFlZGfMQgFnIYbvAyx0KNt9V8B3nhRzcxUMpZZomysvL/e4GgVlI4miFVz7ha5QEnBdyZMwuHtu2/e4CIZbDnj17mIcAzEKOLEPjx9c7yOIuHt9xXsjhdQZiCxTN+5iLoLXGqVOnmIcAzEIOpYDrp2t4fHd5GgPOCzm8zkBsgUJERESZiwUKERERiSO2QOEiWRlM00RFRQXzEIBZyGG7wNYPDe7iEYDzQg6vMxC7i4dbxmQwDAOlpaV+d4PALCRxtMLeTi5AkYDzQg6vj9tiqwCuyJbBtm3s3LmTeQjALOTIMjQemm9zF48AnBdycBcPpZTWGr29vcxDAGYhh1JA4RRwF48AnBdycBcPERERpT0WKERERCSO2AKFK7JlME0TVVVVzEMAZiFH1AGeed9A1PG7J8R5IQd38VBKGYaBvLw8v7tBYBaSuFA42MMFKBJwXsiRMbt4otGo310gxHLYvn078xCAWcgRNDV+fbONoMmFmX7jvJDD6wzEFigkB7fvycEs5MgWe/4583BepCcWKERERCQOCxQiIiISR2yBYlk8fyqBZVmoqalhHgIwCzn6HWBji4l+7uLxHeeFHF5nILZAITlCoZDfXaALmIUMGsDp/tif5D/Oi/QktkDhoicZbNtGfX098xCAWcgRNIHHv+ogyEtv+I7zQo6MuRcPERERZS4WKERERCQOCxQiIiISR2yBwhXZMliWheXLlzMPAZiFHBEHeGCfiQh38fiO80IO7uKhlAuHw353gS5gFjIoAFdnxf4k/3FepCexBQpXZMtg2zYaGxuZhwDMQo4sE3i4wkEWd/H4jvNCDu7iISIiorTHN+2IMlx7ezu6urr87kZSra2tfneBiHzCAoUui4vP5PA6i/b2dpSVX4++8HlPnzcT9PEdBTH4GpWexKYaCAT87gIhlsOKFSv87gZhYrLo6upCX/g8Zn7z5wjMLPb0ub0Q/uhN9Lz+e7+7MUzEUXhwv9iXz4zC1yg5vD5ui51hruv63QVCLIeuri7MmjULhsElS36ayCwCM4sRLPiCp8/phWh3h99dSMqAxnXTNA71cB+P3/gaJYfXx22xaToOLzAggeM4aG5uZh4CMAs5Aibwky+6CHAXj+84L+TwOgOxBQoRERFlLhYoREREJI7YAkUpvrcrgVIKOTk5zEMAZiGH1sDx87E/yV+cF3J4nYHYRbLcNiaDZVlYvHix390gMAtJ+l2FTW/zNUoCzgs5MuZePNzFI4Prujh69CjzEIBZyGEqjVvzXJiKp1D8xnkhB3fxUEo5joOWlhbmIQCzkMMygNVzXVhiX0EzB+eFHNzFQ0RERGlv1AVKU1MTbr/9dhQVFUEphT/96U8JX7/77ruhlEr4uPXWWz3rMBEREaW/URco586dw/z587F58+YRH7Ns2TIcP348/lFfXz/qjnFFtgxKKeTm5jIPAZiFHFoDrZ8p7uIRgPNCDt938dTW1qK2tvaSjwkGgygoKBhzpwDu4pHCsixUV1f73Q0Cs5Ck31V4tpWXkZWA80IOr4/bE1IF7Nq1C3l5eZg+fTpuu+02/OpXv0JeXl7Sx0YiEUQikfjnZ86cAQD09fUhFAoBAAzDgGmacBwnYZXwQLtt29BDfpUxTROGYYzYHo1GE/ow8J9q2/YVtQcCAbium7AgSCkFy7JGbB+p79LHpJTCoUOHMHv2bJimmRZjmqw5OY6Djz/+GHPnzk147HjHFAqFkG0pGErD0QpZhsbQX4RsF0nbow7gQiFoJp5G6HcADSB40fE74gAKQNawdgUDOuGy8VrHigDTUPH+ZZl6sF3phAWqrgairkLA0DCuoO/jHZOpNBYXunj5EwNKIaGPlx3TRX1PxZiAWB9d143/DKbLfHIcBx9++CHmzp2LYDCYFmO6kr5LHNPQY7kXPC9Qamtr8bd/+7coLS3FkSNH8Oijj2Lx4sV466234j88Q23cuBHr168f1v6///u/mDJlCgCgpKQElZWVeOedd9De3h5/TFlZGcrLy7Fv3z6cOnUq3l5RUYHS0lI0NTWht7c33l5VVYW8vDzs2LEjIdSamhqEQqFhb0UtX74c4XAYjY2N8TbLsrBixQp0dXWhubk53p6Tk4PFixejo6MDLS0t8fbc3FxUV1fj8OHDaGtri7dPljEtWLAAhw4dwqFDh9JmTJM5J9u2MXXqVOzfv9+TMR07dgxbt24FALzc4eKVT0x8v8zF9dMHX3y2fmhgb6fCuhsdFE4Z7OMz7xs42KPwj192kD3klWRji4nT/cDjX01c0f/APhNXZwEPVwy299nAg/stXDdN4ydfHHwhPH4e2PS2hep5ebj7+1svtDpo/Sx25mLJNS5qiwf72HxSYdtHJr7zeRdV+YPtL3eoCR1T0wngqmlT8Mutg3283JhuztVYPXewPRVjevsE8Nxzz+HYsWM4duwYgPSbTx988EHajQmYXDkN/Z5eUFqP/V1UpRReeukl3HHHHSM+5vjx4ygtLcW2bduwcuXKYV9PdgaluLgYx48fx8yZMwGwQvVzTFpr1NfXY8mSJfFbaU/2MU3WnKLRKBoaGrBs2bKEu7aOZ0wHDhzAwoULkb9mE4zcOeLOoIRbd6G34Snkr9mErPw5Ys6gBA2NX37FxQP7DHz67m6ce+3peB8vNyY/zqCET3yInv98GE1NTZg/fz6A9JlPA/NiyZIl8bPuk31MV9J3iWM6efIkCgoK0NPTg6lTp2K8JnyhR2FhIUpLS3H48OGkXw8Gg0nPrAQCgfgBcYBpmvG3GYYa6X2vkdovft6xtBuGkfTW3iO1j9R36WMamCyjyUP6mC7VPlnGNJqxXmpMhmEgHA6jz9YI6thRrd9NvtBtpPaIM1L78DY9QrsLlbTdcXW8f3rI93G0QrJLLkRH2ffxjym2UDZZH0cc0wh9n+gxhcPhpD876TKfAoFAfJFmuoxprO3SxjRWE34dlO7ubnR0dKCwsHBU/y7ZfyKlnmEYKCkpYR4CMAs5XB17C8blLh7fcV7I4XUGoy53zp49iw8++CD++ZEjR9DS0oIZM2ZgxowZqKurw3e+8x0UFhbi448/xi9+8QvMmjUL3/72t0f1fZJVbZR6pmmisrLS724QmIUkUTe2PoT8x3khh9fH7VGXO2+++SYqKyvjPxDr1q1DZWUl/uEf/gGmaeLdd9/Ft771LVx33XW46667cN1116G5uRk5OTmj+j68bLEMA+sUmIf/mIUcAUNj1RwHAYOnUPzGeSGH1xmM+gzKokWLcKl1ta+++uq4OjSAN36SwXVdtLe344YbbuBZLZ8xCzkMBVTla7x01O+eEOeFHBlzs0AiIiLKXCxQiIiISByxBQpXZMtgGAbKysqYhwDMQg7bjV0wzeY70b7jvJDD9108qcL3EmUwTRPl5eV+d4PALCRxdOxqruQ/zgs5fN/FkyoXXx2P/GHbNvbs2cM8BGAWcmQZGj++3kEWd/H4jvNCDq8zEFugjOMK/OQhrTVOnTrFPARgFnIoBVw/PfGS8uQPzgs5vM5AbIFCREREmYsFChEREYkjtkDhIlkZTNNERUUF8xCAWchhu8DWDw3u4hGA80IOrzMQu4uHW8ZkMAwDpaWlfneDwCwkcbTC3k4uQJGA80IOr4/bYqsArsiWwbZt7Ny5k3kIwCzkyDI0HppvcxePAJwXcnAXD6WU1hq9vb3MQwBmIYdSQOEUcBePAJwXcnAXDxEREaU9FihEREQkjtgChSuyZTBNE1VVVcxDAGYhR9QBnnnfQNTxuyfEeSEHd/FQShmGgby8PL+7QWAWkrhQONjDBSgScF7IkTG7eKLRqN9dIMRy2L59O/MQgFnIETQ1fn2zjaDJhZl+47yQw+sMxBYoJAe378nBLOTIFnv+OfNwXqQnFihEREQkDgsUIiIiEkdsgWJZPH8qgWVZqKmpYR4CMAs5+h1gY4uJfu7i8R3nhRxeZyC2QCE5QqGQ312gC5iFDBrA6f7Yn+Q/zov0JLZA4aInGWzbRn19PfMQgFnIETSBx7/qIMhLb/iO80KOjLkXDxEREWUuFihEREQkDgsUIiIiEkdsgcIV2TJYloXly5czDwGYhRwRB3hgn4kId/H4jvNCDu7ioZQLh8N+d4EuYBYyKABXZ8X+JP9xXqQnsQUKV2TLYNs2GhsbmYcAzEKOLBN4uMJBFnfx+I7zQg7u4iEiIqK0xwKFiIiIxGGBQpfFxWdyMAs5+viOghicF+lJbKqBQMDvLhBiOaxYscLvbhCYhSQRR+HB/WJfPjMK54UcXh+3xZ5BcV3X7y4QYjl0dnYyDwGYhRwGNMqnuTB4Nx7fcV7I4XUGYgsUx+EFBiRwHAfNzc3MQwBmIUfABH7yRRcB7uLxHeeFHF5nILZAISIioszFAoWIiIjEEVugKMVrNEqglEJOTg7zEIBZyKE1cPx87E/yF+eFHF5nIHYZOreNyWBZFhYvXux3NwjMQpJ+V2HT23yNkoDzQo6MuRcPV2TL4Loujh49yjwEYBZymErj1jwXpuIpFL9xXsjBXTyUUo7joKWlhXkIwCzksAxg9VwXlthX0MzBeSEHd/EQERFR2mOBQkREROKILVC4IlsGpRRyc3OZhwDMQg6tgdbPFHfxCMB5IQd38VBKWZaF6upqv7tBYBaS9LsKz7byMrIScF7IkTG7eLjgSQbHcXDw4EHmIQCzkMNUGsuudbiLRwDOCzkyZpEst4zJ4Lou2tramIcAzEIOywBqizV38QjAeSFHxmwzJiIioszFAoWIiIjEEVugGIbYrmUUwzBQUlLCPARgFnK4Gmg+qeByCYrvOC/k8DoDsVtlTJMr5CUwTROVlZV+d4PALCSJugrbPuJrlAScF3J4fdwWW3JyRbYMjuPgwIEDzEMAZiFHwNBYNcdBwOApFL9xXsjBXTyUUq7ror29nXkIwCzkMBRQla9h8NpgvuO8kIO7eIiIiCjtsUDcUU1KAAAgAElEQVQhIiIiccQWKFyRLYNhGCgrK2MeAjALOWwXeLlDwea7Cr7jvJCDu3gopUzTRHl5ud/dIDALSRyt8MonfI2SgPNCjozZxWPbtt9dIMRy2LNnD/MQgFnIkWVo/Ph6B1ncxeM7zgs5vM5AbIGieR9zEbTWOHXqFPMQgFnIoRRw/XQNj+8uT2PAeSGH1xmILVCIiIgoc7FAISIiInHEFihcJCuDaZqoqKhgHgIwCzlsF9j6ocFdPAJwXsjhdQZid/Fwy5gMhmGgtLTU724QmIUkjlbY28kFKBJwXsjh9XF71M/W1NSE22+/HUVFRVBK4U9/+lPC17XWqKurQ1FREUKhEBYtWoT33ntv1B3jimwZbNvGzp07mYcAzEKOLEPjofk2d/EIwHkhh++7eM6dO4f58+dj8+bNSb/++OOP44knnsDmzZuxf/9+FBQUYMmSJejt7R3V9+GKbBm01ujt7WUeAjALOZQCCqeAu3gE4LyQw+sMRv0WT21tLWpra5N+TWuNJ598Eo888ghWrlwJAHj++eeRn5+PF154AT/60Y+G/ZtIJIJIJBL//MyZMwCAaDSKaDQKIHbayDRNOI6TcDOigXbbthP+Y0zThGEYI7YPPG/8P8GK/TdcXP2N1B4IBOC6bsKdG5VSsCxrxPaR+i59TAOGPv9kH9NkzWng37qumzSPsY4pFAoh21IwlIajFbKMxO2ztouk7VEHcKEQNBNflPodQAMIXvR2dMQBFICsYe0KBjQCQ9q1BvpdBdNQ8f5lmXqwXWlYQ369cjUQdRUCRuIN/Ebq+3jHFIyfOYn9+6F9vOyYLup7KsYExPo49GcnXebTwHii0WjajOlK+i51TF7ydA3KkSNHcOLECSxdujTeFgwGcdttt2HPnj1JC5SNGzdi/fr1w9obGxsxZcoUAEBJSQkqKyvxzjvvoL29Pf6YsrIylJeXY9++fTh16lS8vaKiAqWlpWhqako4c1NVVYW8vDzs2LEj4T+ypqYGoVAI9fX1CX1Yvnw5wuEwGhsb422WZWHFihXo6upCc3NzvD0nJweLFy9GR0cHWlpa4u25ubmorq7G4cOH0dbWFm+fLGNasGABAKChoSFtxjSZcwKA7u5u7N+/35MxHTt2DFu3bgUAvNzh4pVPTHy/zMX10wdffLZ+aGBvp8K6Gx0UThns4zPvGzjYo/CPX3aQPeSVZGOLidP9wONfTbz1+gP7TFydBTxcMdjeZwMP7rdw3TSNn3xx8IXw+Hlg09sWqufl4e7vb73Q6qD1M4VnW00sucZFbfFgH5tPKmz7yMR3Pu+iKn+w/eUONaFjChpA4bQp+OXWwT5ebkw352qsnjvYnooxvX0CeO6553Ds2DEcO3YMQPrNp4aGhrQbEzC5cnrjjTfgJaXHcU5GKYWXXnoJd9xxBwBgz549+NrXvoZjx46hqKgo/ri///u/x9GjR/Hqq68Oe45kZ1CKi4vR2dmJ6dOnA2CF6ueYDMNAZ2cnrr766vgCqMk+psmak+u66OnpwYwZMxKeezxjOnDgABYuXIj8NZtg5M4RdwYl3LoLvQ1PIX/NJmTlzxFzBsWAxhemarx3WqH3/d0499rT8T5ebkx+nEEJn/gQPf/5MJqamjB//nwA6TOfXNdFd3c3Zs6ciaysrLQY05X0XeKYurq6kJubi56eHkydOhXjNSG7eIa+NQDE3vq5uG1AMBhEMBhM2h4IBBLaTNNMuo1pIKgrbb/4ecfSbhhG0hXLI7WP1PfJMKaCgoKkzzGZxzRZc8rLy0v6OGBsYzIMA+FwGH22RlDH5mi/m3yujtQecUZqH96mR2h3oZK2O66O908P+T6OVnCSPD46yr6PfUwK756O/U1rJO3jiGMaoe8TPaZwOAzDMIb9TKXDfBr6C/FIfR+pXeqYxtPu15gGCkSveLonaOBAduLEiYT2zs5O5Ofnj+q5Lq4iyR/RaBTbt29nHgIwCzmCpsavb7aHnWmh1OO8kMPrDDwtUGbPno2CgoKE9Qr9/f3YvXs3qqurvfxWlELcvicHs5Aje0LOP9NYcF6kp1FPsbNnz+KDDz6If37kyBG0tLRgxowZKCkpwX333YcNGzZg3rx5mDdvHjZs2IApU6ZgzZo1nnaciIiI0teoC5Q333wTNTU18c/XrVsHALjrrrvw7//+73jggQcQDofx05/+FKdPn8Ytt9yCHTt2ICcnx7teExERUVobdYGyaNGiS16MRSmFuro61NXVjadfIy7CodSyLAs1NTXMQwBmIUe/E9t63J9kUSulFueFHF5nwBve0GWFQiG/u0AXMAsZNIDT/bE/yX+cF+lJbIHCRU8y2LaN+vp65iEAs5AjaMYu2nbxtV4o9Tgv5PD9XjxEREREE40FChEREYnDAoWIiIjEEVugcEW2DJZlYfny5cxDAGYhR8SJ3fww2aXsKbU4L+TwOgMmSpcVDod5HZsxam9vR1dXlyfPpbWGbduwLGvEe1uNVmtrqyfPk2kUgKuzgJNhv3syOtLznjVrFkpKSkb97/galZ7EFihckS2DbdtobGzE8uXLR7xZFSXX3t6OsvLr0Rc+78nzhUIhbN26FatXr0Y4PMmOjGkmywQernDwwL7JsY3HOXsaUAp33nmn3125pOzQFLQdbB1VkcLXKDm8Pm6LLVCIJruuri70hc9j5jd/jsDM4nE/X7YVO2uSv2YT+mxvrsAR/uhN9Lz+e0+ei+RyI2cBrT37WZwI0e4OdP/Pb9DV1TWmsyiUfligEE2wwMxiBAu+MO7nyTI1AAdZ+XOgHW/e4ol2d3jyPDQ5ePWzSJQKYhfJkhxcfCZHH9/5FINZyMHXqPQkNlW+lyhDIBDAihUr/O4GAYg4Cg/uFztlMwqzkIOvUXJ4fdwWewbFdV2/u0CI5dDZ2ck8BDCgUT7NhcE7wPiOWcjB1yg5vM5AbIHiOLzAgASO46C5uZl5CBAwgZ980UVgcmwcSWvMQg6+RsnhdQZiCxQiIiLKXCxQiIiISByxBYpXV8qk8VFKIScnh3kIoDVw/HzsT/IXs5CDr1FyeJ2B2GXo3DYmg2VZWLx4sd/dIAD9rsKmtzkvJGAWcvA1Sg6vj9tiz6BwRbYMruvi6NGjzEMAU2ncmufCVPy13W/MQg6+RsnBXTyUUo7joKWlhXkIYBnA6rkuLLGzNnMwCzn4GiUHd/EQERFR2uObqEREJEZra+uoHj/wtsLbb78Nw5j437lnzZrFmxmmiNgChSuyZVBKITc3l3kIoDXQ+pnizhEBmIX3nLOnAaVw5513jurfBYNBPPTQQ/je976HSCQyQb0blB2agraDrSxSkuAuHkopy7JQXV3tdzcIsZ0jz7by0qUSMAvvuZGzgNaY+c2fIzCzeFT/9ncfA1ev+vXEdGyIaHcHuv/nN+jq6mKBkoTXx22xVQAXPMngOA4OHz6MefPmwTT5guwnU2ksucZFwzEDjuYZLT8NzYK8FZhZjGDBF6748ZwXcmTMIlluGZPBdV20tbUxDwEsA6gt1tw5IgCzkINZyJEx24yJiIgoc7FAISIiInHEFiip2C5Gl2cYBkpKSpiHAK4Gmk8quNw54jtmIQezkMPr44TYRbJckCmDaZqorKz0uxsEIOoqbPuI80ICZiEHs5DD6+O22F+LuYtHBsdxcODAAeYhQMDQWDXHQcDgr4p+YxZyMAs5uIuHUsp1XbS3tzMPAQwFVOVrGNxJ6TtmIQezkIO7eIiIiCjtsUAhIiIiccQWKNw1IoNhGCgrK2MeAtgu8HKHgs1323zHLORgFnJwFw+llGmaKC8v97sbBMDRCq98wnkhAbOQg1nIkTG7eGzb9rsLhFgOe/bsYR4CZBkaP77eQRZ3K/iOWcjBLOTw+jghtkDRvI+5CFprnDp1inkIoBRw/XQNj+9oTmPALORgFnJ4fZwQW6AQERFR5mKBQkREROKILVC4SFYG0zRRUVHBPASwXWDrhwZ3KwjALORgFnJ4fZwQu4uH21plMAwDpaWlfneDENutsLeTb7RLwCzkYBZyeH3cFlsFcNeIDLZtY+fOncxDgCxD46H5NncrCMAs5GAWcnAXD6WU1hq9vb3MQwClgMIp4G4FAZiFHMxCDu7iISIiorTHAoWIiIjEEVugcNeIDKZpoqqqinkIEHWAZ943EHX87gkxCzmYhRzcxUMpZRgG8vLy/O4GAXChcLCHb7RLwCzkYBZyZMwunmg06ncXCLEctm/fzjwECJoav77ZRtDkgmW/MQs5mIUcXh8nxBYoJAe3GMuRLfacZ+ZhFnIwi/TEAoWIiIjEYYFCRERE4ogtUCyL5+wksCwLNTU1zEOAfgfY2GKin7sVfMcs5GAWcnh9nBBboJAcoVDI7y4QAA3gdH/sT/IXs5CDWaQvsQUKF2bKYNs26uvrmYcAQRN4/KsOgrwkje+YhRzMQo6MuRcPERERZS4WKERERCQOCxQiIiISR2yBwl0jMliWheXLlzMPASIO8MA+ExHuVvAds5CDWcjBXTyUcuFw2O8uEAAF4Oqs2J/kL2YhB7NIX2ILFO4akcG2bTQ2NjIPAbJM4OEKB1ncreA7ZiEHs5CDu3iIiIgo7bFAISIiInE8L1Dq6uqglEr4KCgo8PrbUApxgawcfXynTQxmIQezSE8TcuT50pe+hNdeey3+uWmO/s3BQCDgZZdojAKBAFasWOF3NwhAxFF4cD+LRQmYhRzMQg6vj9sTkqplWVd81iQSiSASicQ/P3PmTLw9Go0CAAzDgGmacBwHruvGHzvQbts2tB68E4NpmjAMY8T2gecd2l9g+AKfkdoDgQBc14XjDO5rU0rBsqwR20fqu/QxGYaBzs5OXH311TAMQ9SYPvnkE3R3d0Op2Pr9oc8x8H211p60Dx3PwP+BUuqS7W1tbQiFQsi2FBQ0XCgEzcTn7ndi9xC5+DLdESe2K2Howj8DGqWfAz7oAUxzcM+C1kC/q2AqDWvIOdGR2l0NRF2FgKGRHTDjfTSUhqMVsgwNNWRLhO0iaXvUwbjHFGtXMKARGNIe77uh4v3LMvUVjcm4gr6Pd0wGNL4wVeO90wpKIaGPlx3TGHIa75iA4X30NCcPxgQAwWAwoY9XktNAFh+cUehz1ISOKQLEX+d5fBre9/7+fnhpQgqUw4cPo6ioCMFgELfccgs2bNiAOXPmJH3sxo0bsX79+mHtr732GqZMmQIAKCkpQWVlJd555x20t7fHH1NWVoby8nLs27cPp06dirdXVFSgtLQUTU1N6O3tjbdXVVUhLy8PO3bsSAi1pqYGoVAI9fX1CX1Yvnw5wuEwGhsb422WZWHFihXo6upCc3NzvD0nJweLFy9GR0cHWlpa4u25ubmorq7G4cOH0dbWFm+fLGNasGAB3njjjYTnkDam1atXY9asWfiXf/mXeNv58+exZs0aVFRUoK6uLt7e3t6On/3sZ/jGN76Be+65J95+4MABrF+/HqtWrcKqVavi7Q0NDXjqqaewdu1aLFmyJN6+bds2bNu2DY899hgqKyvj7Zs3b8Zrr72G3/72tygpKcHWrVsBAM+8r3GwR+Efv+wge8is29hi4nR/7F4iQz2wz8TVWbHdCQP6HCDbBP6/NgM/KBtsP34e2PS2hZtzNVbPHXwxaf1M4dlWE0uucVFbPPhi0nxSYdtHJr7zeRdVt1QDd1UDAF7ucPHKJya+X+bi+umDj9/6oYG9nQrrbnRQOGWwj8+8b4x/TDbw4H4L103T+MkXB/s+MKbqeXm4+/tbL7Q6Vzam/MH2lzvUhI7p0TcVPjdtCn65dbCPlxvTmHIa55jeBPDcc89deE11LjmmseTkxZj+6/8BDz30ECorS+N9HF1OesLH9H/+Cnz3u9/FsWPHcOzYMQCT57U8FcenPXv2wEtKX/zr4ji9/PLLOH/+PK677jqcPHkS//RP/4SDBw/ivffew8yZM4c9PtkZlOLiYhw/fjz+eFao/o1Ja436+nosWbIkfvpOwpjefvttLFy4EDOW3QtnahEUgKCVeCWEPjv2W1rWRWcbIo6GqYDAkHZXA/1O7Dcma8ivdo4LRF2NgKFgDvltynY1bDf23EbCb3YajgaCpkLf0QM4s+dF5K/ZBDVrzrjPNgQNjV9+xcVD+wy48OYMSvjg6/j0lX9B/ppNMHLniDuDEm7dhd6Gp5C/ZhOy8ueIOYMykMUD+wx8+u5unHvt6XgfLzcmP86gnHlvF87/b2IfpZ1B6fl/u3C2YTMK73w83scryWkgi0ffNNAbndgzKL1//RBdf7gfzc3NmD9/PoDJ81qeiuPTyZMnUVBQgJ6eHkydOhXj5fkZlNra2vjfb7zxRlRVVWHu3Ll4/vnnsW7dumGPDwaDCAaDw9oDgcCw97NM00y6nmWkRZwjtY/0Ptlo2g3DiL/lcSXtI/Vd+pgGJsto8kjFmAzDQDgchjO1CMGCLwAYfrv1gZ+qK2lXI7QbI7SbFz4ubrcwOKnsznaEw2H02RrBCwVFxEl+OalkV8HUI7S7UEmfx9EKTpLHj9QedRX6os5gH3XsOfvd5H0cqd27MSXpu6vj/dNDvs+lxpTMxI1JQWsk7eOIYxpDTqPp+0jtyfoIeJSTR2OKRCJJ+3glOUVcBR2fZ8Mf69WYbNuGYRg8PiUx6a4ke9VVV+HGG2/E4cOHR/XvlEr+A0mppZRCTk4O8xBA69jpZ2/PedJYMAs5mIUcXh8nJrxAiUQiaG1tRWFh4aj+Hbe2ymBZFhYvXsw8BOh3FTa9bY342ySlDrOQg1nIIf4Myv3334/du3fjyJEjeOONN/Dd734XZ86cwV133TWq57l4dwT5w3VdHD16lHkIYCqNW/NcmIq/KvqNWcjBLOTw+jjheYHyySefYPXq1SgrK8PKlSuRlZWFvXv3orS0dFTP4yR7849SznEctLS0MA8BLANYPddNWLhH/mAWcjALObw+Tnh+3n7btm1ePyURERFlGNacREREJI7YAoW7RmRQSiE3N5d5CKB17GJR3K3gP2YhB7OQw+vjhNitGdw1IoNlWaiurva7G4TYboVnW0d/XyvyHrOQg1nIIX4Xj1e4KFMGx3Fw8OBB5iGAqTSWXetwt4IAzEIOZiGH18cJsQUKt7XKMHDTO+bhP8sAaos1dysIwCzkYBZyiN9mTERERDReXOjhg/b2dnR1dfndjUuaNWsWSkpK/O4GEZE4ra2tfnfhktLl9VtsgZLshkbpoL29HWXl16MvfN7vrlxSdmgK2g624pprrkFJSUna5jGZuDp2u3qXb7X7jlnIkcosnLOnAaVw5513Tvw3G4eB1+9UFyleHyfEFijJ7qCYDrq6utAXPo+Z3/w5AjOL/e5OUtHuDnT/z2/Q1dWFkpISVFZW+t0lQuwOsNs+Ss95MdkwCzlSmYUbOQtoPalev1PJ6+O22AIl3XeNBGYWI1jwBb+7cVmO4+Cdd97B3/zN36Rt0ThZBAyN73zexf/92BjxdvWUGkOzIH/5MS8my+t3qnEXD6WU67pob29nHgIYCqjK1zBYm/iOWcjBLOTgLh4iIiJKeyxQiIiISByxBQp3jchgGAbKysqYhwC2C7zcoWDz3TbfMQs5mIUc3MVDKWWaJsrLy/3uBgFwtMIrn3BeSMAs5GAWcnh93Bb7a7Ft2353gRDLYc+ePcxDgCxD48fXO8gyePENvzELOZiFHF4fJ8QWKJr3zhZBa41Tp04xDwGUAq6fruHxHc1pDJiFHMxCDq+PE2ILFCIiIspcLFCIiIhIHLEFChfJymCaJioqKpiHALYLbP3Q4G4FAZiFHMxCjoy51D23tcpgGAZKS0v97gYhtlthbyffaJeAWcjBLOTImG3G3DXiv9bWVriui5MnTyI/P19U0Sj9ducTIcvQWHejgyfeNdHPe/H4amgW5C/OCzm8Pm6LLVC4a8Q/Q28pHgqFsHXrVixcuBDhcNjvrmU0pYDCKeBuBQGYhRzMQg6vj9tiCxTyz9Bbiufkx27Xnb9mE/psOUVj+KM30fP67/3uBhERTRAWKDSiwMxiZOXPAeAgK38OtCPnV5Rod4ffXSAiogkkZ1HBRbhrRIaoAzzzvoGo43dPiFnIwSzkYBZycBcPpZQLhYM9cs6cZDJmIQezkINZyOH1cVtsFRCNRv3uAgEImhq/vtlG0JSz/iRTMQs5mIUczEIOr4/bYgsUkiNb7Hm2zMMs5GAWcjCL9MQChYiIiMRhgUJERETiiC1QLIvn7CTod4CNLSb6uULed8xCDmYhB7OQw+vjttgChWTQAE73x/4kfzELOZiFHMwifYktUHgvHhmCJvD4Vx0EeVka3zELOZiFHMxCDq+P22ILFCIiIspcLFCIiIhIHBYoREREJI7YAoW7eGSIOMAD+0xEuELed8xCDmYhB7OQg7t4KKUUgKuzYn+Sv5iFHMxCDmaRvsQWKNzFI0OWCTxc4SCLK+R9xyzkYBZyMAs5uIuHiIiI0h4LFCIiIhKHBQpdVh/fbRODWcjBLORgFulJ7FaZQCDgdxcIQMRReHC/2B+TjMIs5GAWcjALObw+bos9g+K6rt9dIAAGNMqnuTB4pwvfMQs5mIUczEIOr4/bYgsUx+GmdgkCJvCTL7oIcIW875iFHMxCDmYhh9fHbbEFChEREWUuFihEREQkjtgCRSleF1ACrYHj52N/kr+YhRzMQg5mIYfXx22xS595Lx4Z+l2FTW8zCwmYhRzMQg5mIUfG3IuHu3hkMJXGrXkuTMVfT/zGLORgFnIwCzm4i4dSyjKA1XNdWGJ/UjIHs5CDWcjBLOTgLh4iIiJKeyxQiIiISByxBQp38cigNdD6meIKeQGYhRzMQg5mIQd38VBK9bsKz7byEo0SMAs5mIUczEKOjNnFw0WyMphKY9m1DlfIC8As5GAWcjALOTJmkSy3GctgGUBtseYKeQGYhRzMQg5mIUfGbDMmIiKizMUChYiIiMQRW6AYhtiuZRRXA80nFVy+ves7ZiEHs5CDWcjh9XFb7FYZ0+SqbAmirsK2j5iFBMxCDmYhB7OQw+vjttjTFNzFI0PA0Fg1x0HA4K8nfmMWcjALOZiFHJNmF8/TTz+N2bNnIzs7GzfddBNef/31Uf177uKRwVBAVb6Gwevm+Y5ZyMEs5GAWckyKXTwvvvgi7rvvPjzyyCM4cOAAFixYgNraWrS3t0/EtyMiIqI0MyFrUJ544gn83d/9HX7wgx8AAJ588km8+uqreOaZZ7Bx48aEx0YiEUQikfjnPT09AIBPP/003mYYBkzThOM4CRXaQLtt29BDrnNsmiYMwxixPRqNJvRh4Op3tm1fUXsgEIDrugmns5RSsCxrxPaBvp85cwbZ2dlwT32EcH8fAoaCOaRMtF0N2wWyTJXwG0HU0XA0EDQVhl5NuN/RcDWQbSX++hCxNTSGt/fZGgpAMEm7oS58397jyM7OBro+Qp8bwfkbiuEe74C+8N/g6tj3tQzAGtJJxwWirk7JmAb6qLqPINzfd9kxDdAaiDgapgICQ9onYkxD+xiJ9o07J9cCzp8vRv8nHQmX9R7PmIb2MWr3+f6zd/GY3NOfxPun3YiIn72hWfR1dMD+tCOhj5cbUyp+9i4eU7R7eB+9zMmLMUW7O5CVlZXQxyvJaSAL93gH+vomdkzR7g6YppnQx1T/7F1uTJHODiilcObMGXR3dwO48uPTgLEec0+fPn3h/9Cjt9u0xyKRiDZNU//xj39MaP/Zz36mFy5cOOzxjz32mAbAD37wgx/84Ac/0uDjww8/9KSe8PwMSldXFxzHQX5+fkJ7fn4+Tpw4MezxDz/8MNatWxf//LPPPkNpaSna29sxbdo0r7tHo3TmzBkUFxejo6MDU6dO9bs7GY1ZyMEs5GAWcvT09KCkpAQzZszw5PkmbJvxxXc11FonvdNhMBhEMBgc1j5t2jT+sAkydepU5iEEs5CDWcjBLOTw6nooni+SnTVrFkzTHHa2pLOzc9hZFSIiIqJkPC9QsrKycNNNN6GhoSGhvaGhAdXV1V5/OyIiIkpDZl1dXZ3XTzp16lQ8+uijuOaaa5CdnY0NGzagsbERW7ZswfTp0y/fKdPEokWL4rtoyF/MQw5mIQezkINZyOFlFkprr/YDJXr66afx+OOP4/jx47jhhhvwz//8z1i4cOFEfCsiIiJKMxNWoBARERGNldh78RAREVHmYoFCRERE4rBAISIiInFYoBAREZE44gqUp59+GrNnz0Z2djZuuukmvP766353KePU1dVBKZXwUVBQ4He3MkZTUxNuv/12FBUVQSmFP/3pTwlf11qjrq4ORUVFCIVCWLRoEd577z2fepveLpfF3XffPWyu3HrrrT71Nn1t3LgRN998M3JycpCXl4c77rgDbW1tCY/hvEidK8nDi7khqkB58cUXcd999+GRRx7BgQMHsGDBAtTW1qK9vd3vrmWcL33pSzh+/Hj849133/W7Sxnj3LlzmD9/PjZv3pz0648//jieeOIJbN68Gfv370dBQQGWLFmC3t7eFPc0/V0uCwBYtmxZwlypr69PYQ8zw+7du7F27Vrs3bsXDQ0NsG0bS5cuxblz5+KP4bxInSvJA/Bgbnhyy0GPfPWrX9U//vGPE9rKy8v1Qw895FOPMtNjjz2m58+f73c3SGsNQL/00kvxz13X1QUFBXrTpk3xtr6+Pj1t2jT97LPP+tHFjHFxFlprfdddd+lvfetbPvUoc3V2dmoAevfu3Vprzgu/XZyH1t7MDTFnUPr7+/HWW29h6dKlCe1Lly7Fnj17fOpV5jp8+DCKioowe/ZsrFq1Ch999JHfXSIAR44cwYkTJxLmSTAYxG233cZ54pNdu3YhLy8P1113HX74wx+is7PT7y6lvZ6eHgCI3zWX88JfF+cxYLxzQ0yB0tXVBcdxht1QMD8/f9iNB2li3XLLLfiP//gPvPrqq/i3f/s3nDhxAtXV1eju7mtorZkAAAMWSURBVPa7axlvYC5wnshQW1uLP/zhD9i5cyd+85vfYP/+/Vi8eDEikYjfXUtbWmusW7cOX//613HDDTcA4LzwU7I8AG/mhrgbFyilEj7XWg9ro4lVW1sb//uNN96IqqoqzJ07F88//zzWrVvnY89oAOeJDN/73vfif7/hhhvwla98BaWlpdi+fTtWrlzpY8/S1z333IN33nkHf/nLX4Z9jfMi9UbKw4u5IeYMyqxZs2Ca5rBqt7Ozc1hVTKl11VVX4cYbb8Thw4f97krGG9hNxXkiU2FhIUpLSzlXJsi9996LP//5z2hsbMS1114bb+e88MdIeSQzlrkhpkDJysrCTTfdhIaGhoT2hoYGVFdX+9QrAoBIJILW1lYUFhb63ZWMN3v2bBQUFCTMk/7+fuzevZvzRIDu7m50dHRwrnhMa4177rkHf/zjH7Fz507Mnj074eucF6l1uTySGcvcMOvq6urG0U9PTZ06FY8++iiuueYaZGdnY8OGDWhsbMSWLVswffp0v7uXMe6//34Eg0ForXHo0CHcc889OHToEH73u98xhxQ4e/Ys3n//fZw4cQK/+93vcMsttyAUCqG/vx/Tp0+H4zjYuHEjysrK4DgOfv7zn+PYsWP413/9VwSDQb+7n1YulYVpmvjFL36BnJwcOI6DlpYW/OAHP0A0GsXmzZuZhYfWrl2LP/zhD/iv//ovFBUV4ezZszh79ixM00QgEIBSivMihS6Xx9mzZ72ZG+PaAzQBnnrqKV1aWqqzsrL0l7/85YRtS5Qa3/ve93RhYaEOBAK6qKhIr1y5Ur/33nt+dytjNDY2agDDPu666y6tdWxL5WOPPaYLCgp0MBjUCxcu1O+++66/nU5Tl8ri/PnzeunSpTo3N1cHAgFdUlKi77rrLt3e3u53t9NOsgwA6C1btsQfw3mROpfLw6u5oS58MyIiIiIxxKxBISIiIhrAAoWIiIjEYYFCRERE4rBAISIiInFYoBAREZE4LFCIiIhIHBYoREREJA4LFCIiIhKHBQoRERGJwwKFiIiIxGGBQkREROL8/+q8g3hBpae5AAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"plt.rcdefaults()\n",
"fig, ax = plt.subplots()\n",
"ax.set_xlim([0,25])\n",
"ax.set_ylim([0,25])\n",
"ax.hist(set, edgecolor='black')\n",
"plt.grid(True, linestyle='--')\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
module2/exo3/exercice.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo3/exercice_R_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, R code is included as follows (and is
exxecuted by typing ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
And now the same but in an R session. This is the most frequent
situation, because R is really an interactive language. With a
session, R's state, i.e. the values of all the variables, remains
persistent from one code block to the next. The code is still executed
using ~C-c C-c~.
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Finally, an example for graphical output:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cars.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in R by typing ~<r~ or ~<R~ followed by
~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module2/exo3/exercice_R_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
R. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclut du code
R de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
Voici la même chose, mais avec une session R (c'est le cas le
plus courant, R étant vraiment un langage interactif), donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Et enfin, voici un exemple de sortie graphique:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cars.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, pour les prochains exercices, nous ne vous fournirons pas
forcément de fichier de départ, ça sera à vous de le créer, par
exemple en repartant de ce document et de le commiter vers
gitlab. N'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code R (en
faisant ~<r~ ou ~<R~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module2/exo3/exercice_en.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Your title"
author: "Your name"
date: "Today's date"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Some explanations
This is an R Markdown document that you can easily export to HTML, PDF, and MS Word formats. For more information on R Markdown, see <http://rmarkdown.rstudio.com>.
When you click on the button **Knit**, the document will be compiled in order to re-execute the R code and to include the results into the final document. As we have shown in the video, R code is inserted as follows:
```{r cars}
summary(cars)
```
It is also straightforward to include figures. For example:
```{r pressure, echo=FALSE}
plot(pressure)
```
Note the parameter `echo = FALSE` that indicates that the code will not appear in the final version of the document. We recommend not to use this parameter in the context of this MOOC, because we want your data analyses to be perfectly transparent and reproducible.
Since the results are not stored in Rmd files, you should generate an HTML or PDF version of your exercises and commit them. Otherwise reading and checking your analysis will be difficult for anyone else but you.
Now it's your turn! You can delete all this information and replace it by your computational document.
module2/exo3/exercice_en.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo3/exercice_fr.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Votre titre"
author: "Votre nom"
date: "La date du jour"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Quelques explications
Ceci est un document R markdown que vous pouvez aisément exporter au format HTML, PDF, et MS Word. Pour plus de détails sur R Markdown consultez <http://rmarkdown.rstudio.com>.
Lorsque vous cliquerez sur le bouton **Knit** ce document sera compilé afin de ré-exécuter le code R et d'inclure les résultats dans un document final. Comme nous vous l'avons montré dans la vidéo, on inclue du code R de la façon suivante:
```{r cars}
summary(cars)
```
Et on peut aussi aisément inclure des figures. Par exemple:
```{r pressure, echo=FALSE}
plot(pressure)
```
Vous remarquerez le paramètre `echo = FALSE` qui indique que le code ne doit pas apparaître dans la version finale du document. Nous vous recommandons dans le cadre de ce MOOC de ne pas utiliser ce paramètre car l'objectif est que vos analyses de données soient parfaitement transparentes pour être reproductibles.
Comme les résultats ne sont pas stockés dans les fichiers Rmd, pour faciliter la relecture de vos analyses par d'autres personnes, vous aurez donc intérêt à générer un HTML ou un PDF et à le commiter.
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces informations et les remplacer par votre document computationnel.
module2/exo3/exercice_fr.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo3/exercice_python_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, Python code is included as follows (and
is exxecuted by typing ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
And now the same but in an Python session. With a session, Python's
state, i.e. the values of all the variables, remains persistent from
one code block to the next. The code is still executed using ~C-c
C-c~.
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Finally, an example for graphical output:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cosxsx.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in Python by typing ~<p~, ~<P~ or ~<PP~
followed by ~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module2/exo3/exercice_python_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
python. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclue du code
python de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
Voici la même chose, mais avec une session python, donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Et enfin, voici un exemple de sortie graphique:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cosxsx.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, n'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code python (en
faisant ~<p~, ~<P~ ou ~<PP~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module2/exo4/exercice.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo4/exercice_R_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, R code is included as follows (and is
exxecuted by typing ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
And now the same but in an R session. This is the most frequent
situation, because R is really an interactive language. With a
session, R's state, i.e. the values of all the variables, remains
persistent from one code block to the next. The code is still executed
using ~C-c C-c~.
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Finally, an example for graphical output:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cars.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in R by typing ~<r~ or ~<R~ followed by
~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module2/exo4/exercice_R_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
R. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclut du code
R de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
Voici la même chose, mais avec une session R (c'est le cas le
plus courant, R étant vraiment un langage interactif), donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Et enfin, voici un exemple de sortie graphique:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cars.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, pour les prochains exercices, nous ne vous fournirons pas
forcément de fichier de départ, ça sera à vous de le créer, par
exemple en repartant de ce document et de le commiter vers
gitlab. N'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code R (en
faisant ~<r~ ou ~<R~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module2/exo4/exercice_en.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Your title"
author: "Your name"
date: "Today's date"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Some explanations
This is an R Markdown document that you can easily export to HTML, PDF, and MS Word formats. For more information on R Markdown, see <http://rmarkdown.rstudio.com>.
When you click on the button **Knit**, the document will be compiled in order to re-execute the R code and to include the results into the final document. As we have shown in the video, R code is inserted as follows:
```{r cars}
summary(cars)
```
It is also straightforward to include figures. For example:
```{r pressure, echo=FALSE}
plot(pressure)
```
Note the parameter `echo = FALSE` that indicates that the code will not appear in the final version of the document. We recommend not to use this parameter in the context of this MOOC, because we want your data analyses to be perfectly transparent and reproducible.
Since the results are not stored in Rmd files, you should generate an HTML or PDF version of your exercises and commit them. Otherwise reading and checking your analysis will be difficult for anyone else but you.
Now it's your turn! You can delete all this information and replace it by your computational document.
module2/exo4/exercice_en.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo4/exercice_fr.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Votre titre"
author: "Votre nom"
date: "La date du jour"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Quelques explications
Ceci est un document R markdown que vous pouvez aisément exporter au format HTML, PDF, et MS Word. Pour plus de détails sur R Markdown consultez <http://rmarkdown.rstudio.com>.
Lorsque vous cliquerez sur le bouton **Knit** ce document sera compilé afin de ré-exécuter le code R et d'inclure les résultats dans un document final. Comme nous vous l'avons montré dans la vidéo, on inclue du code R de la façon suivante:
```{r cars}
summary(cars)
```
Et on peut aussi aisément inclure des figures. Par exemple:
```{r pressure, echo=FALSE}
plot(pressure)
```
Vous remarquerez le paramètre `echo = FALSE` qui indique que le code ne doit pas apparaître dans la version finale du document. Nous vous recommandons dans le cadre de ce MOOC de ne pas utiliser ce paramètre car l'objectif est que vos analyses de données soient parfaitement transparentes pour être reproductibles.
Comme les résultats ne sont pas stockés dans les fichiers Rmd, pour faciliter la relecture de vos analyses par d'autres personnes, vous aurez donc intérêt à générer un HTML ou un PDF et à le commiter.
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces informations et les remplacer par votre document computationnel.
module2/exo4/exercice_fr.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo4/exercice_python_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, Python code is included as follows (and
is exxecuted by typing ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
And now the same but in an Python session. With a session, Python's
state, i.e. the values of all the variables, remains persistent from
one code block to the next. The code is still executed using ~C-c
C-c~.
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Finally, an example for graphical output:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cosxsx.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in Python by typing ~<p~, ~<P~ or ~<PP~
followed by ~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module2/exo4/exercice_python_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
python. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclue du code
python de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
Voici la même chose, mais avec une session python, donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Et enfin, voici un exemple de sortie graphique:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cosxsx.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, n'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code python (en
faisant ~<p~, ~<P~ ou ~<PP~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module2/exo5/.ipynb_checkpoints/examine_data-checkpoint.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[['4/12/81' 6 66 50 0]\n",
" ['11/12/81' 6 70 50 1]\n",
" ['3/22/82' 6 69 50 0]\n",
" ['11/11/82' 6 68 50 0]\n",
" ['4/04/83' 6 67 50 0]\n",
" ['6/18/82' 6 72 50 0]\n",
" ['8/30/83' 6 73 100 0]\n",
" ['11/28/83' 6 70 100 0]\n",
" ['2/03/84' 6 57 200 1]\n",
" ['4/06/84' 6 63 200 1]\n",
" ['8/30/84' 6 70 200 1]\n",
" ['10/05/84' 6 78 200 0]\n",
" ['11/08/84' 6 67 200 0]\n",
" ['1/24/85' 6 53 200 2]\n",
" ['4/12/85' 6 67 200 0]\n",
" ['4/29/85' 6 75 200 0]\n",
" ['6/17/85' 6 70 200 0]\n",
" ['7/29/85' 6 81 200 0]\n",
" ['8/27/85' 6 76 200 0]\n",
" ['10/03/85' 6 79 200 0]\n",
" ['10/30/85' 6 75 200 2]\n",
" ['11/26/85' 6 76 200 0]\n",
" ['1/12/86' 6 58 200 1]]\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"x = pd.read_csv('shuttle.csv', header=0).values\n",
"\n",
"print(x)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
module2/exo5/.ipynb_checkpoints/exo_en-checkpoint.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Analysis of the risk of failure of the O-rings on the Challenger shuttle"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"On January 27, 1986, the day before the takeoff of the shuttle _Challenger_, had\n",
"a three-hour teleconference was held between \n",
"Morton Thiokol (the manufacturer of one of the engines) and NASA. The\n",
"discussion focused on the consequences of the\n",
"temperature at take-off of 31°F (just below\n",
"0°C) for the success of the flight and in particular on the performance of the\n",
"O-rings used in the engines. Indeed, no test\n",
"had been performed at this temperature.\n",
"\n",
"The following study takes up some of the analyses carried out that\n",
"night with the objective of assessing the potential influence of\n",
"the temperature and pressure to which the O-rings are subjected\n",
"on their probability of malfunction. Our starting point is \n",
"the results of the experiments carried out by NASA engineers\n",
"during the six years preceding the launch of the shuttle\n",
"Challenger."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Loading the data\n",
"We start by loading this data:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Date</th>\n",
" <th>Count</th>\n",
" <th>Temperature</th>\n",
" <th>Pressure</th>\n",
" <th>Malfunction</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>4/12/81</td>\n",
" <td>6</td>\n",
" <td>66</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>11/12/81</td>\n",
" <td>6</td>\n",
" <td>70</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>3/22/82</td>\n",
" <td>6</td>\n",
" <td>69</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>11/11/82</td>\n",
" <td>6</td>\n",
" <td>68</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>4/04/83</td>\n",
" <td>6</td>\n",
" <td>67</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>6/18/82</td>\n",
" <td>6</td>\n",
" <td>72</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>8/30/83</td>\n",
" <td>6</td>\n",
" <td>73</td>\n",
" <td>100</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>11/28/83</td>\n",
" <td>6</td>\n",
" <td>70</td>\n",
" <td>100</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2/03/84</td>\n",
" <td>6</td>\n",
" <td>57</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>4/06/84</td>\n",
" <td>6</td>\n",
" <td>63</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>8/30/84</td>\n",
" <td>6</td>\n",
" <td>70</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>10/05/84</td>\n",
" <td>6</td>\n",
" <td>78</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>11/08/84</td>\n",
" <td>6</td>\n",
" <td>67</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>1/24/85</td>\n",
" <td>6</td>\n",
" <td>53</td>\n",
" <td>200</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>4/12/85</td>\n",
" <td>6</td>\n",
" <td>67</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>4/29/85</td>\n",
" <td>6</td>\n",
" <td>75</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>6/17/85</td>\n",
" <td>6</td>\n",
" <td>70</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>7/29/85</td>\n",
" <td>6</td>\n",
" <td>81</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>8/27/85</td>\n",
" <td>6</td>\n",
" <td>76</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>10/03/85</td>\n",
" <td>6</td>\n",
" <td>79</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>10/30/85</td>\n",
" <td>6</td>\n",
" <td>75</td>\n",
" <td>200</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>11/26/85</td>\n",
" <td>6</td>\n",
" <td>76</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>1/12/86</td>\n",
" <td>6</td>\n",
" <td>58</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Date Count Temperature Pressure Malfunction\n",
"0 4/12/81 6 66 50 0\n",
"1 11/12/81 6 70 50 1\n",
"2 3/22/82 6 69 50 0\n",
"3 11/11/82 6 68 50 0\n",
"4 4/04/83 6 67 50 0\n",
"5 6/18/82 6 72 50 0\n",
"6 8/30/83 6 73 100 0\n",
"7 11/28/83 6 70 100 0\n",
"8 2/03/84 6 57 200 1\n",
"9 4/06/84 6 63 200 1\n",
"10 8/30/84 6 70 200 1\n",
"11 10/05/84 6 78 200 0\n",
"12 11/08/84 6 67 200 0\n",
"13 1/24/85 6 53 200 2\n",
"14 4/12/85 6 67 200 0\n",
"15 4/29/85 6 75 200 0\n",
"16 6/17/85 6 70 200 0\n",
"17 7/29/85 6 81 200 0\n",
"18 8/27/85 6 76 200 0\n",
"19 10/03/85 6 79 200 0\n",
"20 10/30/85 6 75 200 2\n",
"21 11/26/85 6 76 200 0\n",
"22 1/12/86 6 58 200 1"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"data = pd.read_csv(\"shuttle.csv\")\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The data set shows us the date of each test, the number of O-rings (there are 6 on the main launcher), the temperature (in Fahrenheit) and pressure (in psi), and finally the number of identified malfunctions."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Graphical inspection\n",
"Flights without incidents do not provide any information\n",
"on the influence of temperature or pressure on malfunction.\n",
"We thus focus on the experiments in which at least one O-ring\n",
"was defective."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Date</th>\n",
" <th>Count</th>\n",
" <th>Temperature</th>\n",
" <th>Pressure</th>\n",
" <th>Malfunction</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>11/12/81</td>\n",
" <td>6</td>\n",
" <td>70</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2/03/84</td>\n",
" <td>6</td>\n",
" <td>57</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>4/06/84</td>\n",
" <td>6</td>\n",
" <td>63</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>8/30/84</td>\n",
" <td>6</td>\n",
" <td>70</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>1/24/85</td>\n",
" <td>6</td>\n",
" <td>53</td>\n",
" <td>200</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>10/30/85</td>\n",
" <td>6</td>\n",
" <td>75</td>\n",
" <td>200</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>1/12/86</td>\n",
" <td>6</td>\n",
" <td>58</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Date Count Temperature Pressure Malfunction\n",
"1 11/12/81 6 70 50 1\n",
"8 2/03/84 6 57 200 1\n",
"9 4/06/84 6 63 200 1\n",
"10 8/30/84 6 70 200 1\n",
"13 1/24/85 6 53 200 2\n",
"20 10/30/85 6 75 200 2\n",
"22 1/12/86 6 58 200 1"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = data[data.Malfunction>0]\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We have a high temperature variability but\n",
"the pressure is almost always 200, which should\n",
"simplify the analysis.\n",
"\n",
"How does the frequency of failure vary with temperature?"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"pd.set_option('mode.chained_assignment',None) # this removes a useless warning from pandas\n",
"import matplotlib.pyplot as plt\n",
"\n",
"data[\"Frequency\"]=data.Malfunction/data.Count\n",
"data.plot(x=\"Temperature\",y=\"Frequency\",kind=\"scatter\",ylim=[0,1])\n",
"plt.grid(True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At first glance, the dependence does not look very important, but let's try to\n",
"estimate the impact of temperature $t$ on the probability of O-ring malfunction."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation of the temperature influence\n",
"\n",
"Suppose that each of the six O-rings is damaged with the same\n",
"probability and independently of the others and that this probability\n",
"depends only on the temperature. If $p(t)$ is this probability, the\n",
"number $D$ of malfunctioning O-rings during a flight at\n",
"temperature $t$ follows a binomial law with parameters $n=6$ and\n",
"$p=p(t)$. To link $p(t)$ to $t$, we will therefore perform a\n",
"logistic regression."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table class=\"simpletable\">\n",
"<caption>Generalized Linear Model Regression Results</caption>\n",
"<tr>\n",
" <th>Dep. Variable:</th> <td>Frequency</td> <th> No. Observations: </th> <td> 7</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model:</th> <td>GLM</td> <th> Df Residuals: </th> <td> 5</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model Family:</th> <td>Binomial</td> <th> Df Model: </th> <td> 1</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Link Function:</th> <td>logit</td> <th> Scale: </th> <td> 1.0000</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Method:</th> <td>IRLS</td> <th> Log-Likelihood: </th> <td> -2.5250</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Date:</th> <td>Sat, 13 Apr 2019</td> <th> Deviance: </th> <td> 0.22231</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Time:</th> <td>19:12:05</td> <th> Pearson chi2: </th> <td> 0.236</td> \n",
"</tr>\n",
"<tr>\n",
" <th>No. Iterations:</th> <td>4</td> <th> Covariance Type: </th> <td>nonrobust</td>\n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <td></td> <th>coef</th> <th>std err</th> <th>z</th> <th>P>|z|</th> <th>[0.025</th> <th>0.975]</th> \n",
"</tr>\n",
"<tr>\n",
" <th>Intercept</th> <td> -1.3895</td> <td> 7.828</td> <td> -0.178</td> <td> 0.859</td> <td> -16.732</td> <td> 13.953</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Temperature</th> <td> 0.0014</td> <td> 0.122</td> <td> 0.012</td> <td> 0.991</td> <td> -0.238</td> <td> 0.240</td>\n",
"</tr>\n",
"</table>"
],
"text/plain": [
"<class 'statsmodels.iolib.summary.Summary'>\n",
"\"\"\"\n",
" Generalized Linear Model Regression Results \n",
"==============================================================================\n",
"Dep. Variable: Frequency No. Observations: 7\n",
"Model: GLM Df Residuals: 5\n",
"Model Family: Binomial Df Model: 1\n",
"Link Function: logit Scale: 1.0000\n",
"Method: IRLS Log-Likelihood: -2.5250\n",
"Date: Sat, 13 Apr 2019 Deviance: 0.22231\n",
"Time: 19:12:05 Pearson chi2: 0.236\n",
"No. Iterations: 4 Covariance Type: nonrobust\n",
"===============================================================================\n",
" coef std err z P>|z| [0.025 0.975]\n",
"-------------------------------------------------------------------------------\n",
"Intercept -1.3895 7.828 -0.178 0.859 -16.732 13.953\n",
"Temperature 0.0014 0.122 0.012 0.991 -0.238 0.240\n",
"===============================================================================\n",
"\"\"\""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import statsmodels.api as sm\n",
"\n",
"data[\"Success\"]=data.Count-data.Malfunction\n",
"data[\"Intercept\"]=1\n",
"\n",
"logmodel=sm.GLM(data['Frequency'], data[['Intercept','Temperature']], family=sm.families.Binomial(sm.families.links.logit)).fit()\n",
"\n",
"logmodel.summary()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The most likely estimator of the temperature parameter is 0.0014\n",
"and the standard error of this estimator is 0.122, in other words we\n",
"cannot distinguish any particular impact and we must take our\n",
"estimates with caution."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation of the probability of O-ring malfunction\n",
"\n",
"The expected temperature on the take-off day is 31°F. Let's try to\n",
"estimate the probability of O-ring malfunction at\n",
"this temperature from the model we just built:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"data_pred = pd.DataFrame({'Temperature': np.linspace(start=30, stop=90, num=121), 'Intercept': 1})\n",
"data_pred['Frequency'] = logmodel.predict(data_pred[['Intercept','Temperature']])\n",
"data_pred.plot(x=\"Temperature\",y=\"Frequency\",kind=\"line\",ylim=[0,1])\n",
"plt.scatter(x=data[\"Temperature\"],y=data[\"Frequency\"])\n",
"plt.grid(True)"
]
},
{
"cell_type": "markdown",
"metadata": {
"hideCode": false,
"hidePrompt": false,
"scrolled": true
},
"source": [
"As expected from the initial data, the\n",
"temperature has no significant impact on the probability of failure of the\n",
"O-rings. It will be about 0.2, as in the tests\n",
"where we had a failure of at least one joint. Let's get back\n",
"to the initial dataset to estimate the probability of failure:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.06521739130434782\n"
]
}
],
"source": [
"data = pd.read_csv(\"shuttle.csv\")\n",
"print(np.sum(data.Malfunction)/np.sum(data.Count))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This probability is thus about $p=0.065$. Knowing that there is\n",
"a primary and a secondary O-ring on each of the three parts of the\n",
"launcher, the probability of failure of both joints of a launcher\n",
"is $p^2 \\approx 0.00425$. The probability of failure of any one of the\n",
"launchers is $1-(1-p^2)^3 \\approx 1.2%$. That would really be\n",
"bad luck.... Everything is under control, so the takeoff can happen\n",
"tomorrow as planned.\n",
"\n",
"But the next day, the Challenger shuttle exploded and took away\n",
"with her the seven crew members. The public was shocked and in\n",
"the subsequent investigation, the reliability of the\n",
"O-rings was questioned. Beyond the internal communication problems\n",
"of NASA, which have a lot to do with this fiasco, the previous analysis\n",
"includes (at least) a small problem.... Can you find it?\n",
"You are free to modify this analysis and to look at this dataset\n",
"from all angles in order to to explain what's wrong."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Hide code",
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo5/examine_data.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[['4/12/81' 6 66 50 0]\n",
" ['11/12/81' 6 70 50 1]\n",
" ['3/22/82' 6 69 50 0]\n",
" ['11/11/82' 6 68 50 0]\n",
" ['4/04/83' 6 67 50 0]\n",
" ['6/18/82' 6 72 50 0]\n",
" ['8/30/83' 6 73 100 0]\n",
" ['11/28/83' 6 70 100 0]\n",
" ['2/03/84' 6 57 200 1]\n",
" ['4/06/84' 6 63 200 1]\n",
" ['8/30/84' 6 70 200 1]\n",
" ['10/05/84' 6 78 200 0]\n",
" ['11/08/84' 6 67 200 0]\n",
" ['1/24/85' 6 53 200 2]\n",
" ['4/12/85' 6 67 200 0]\n",
" ['4/29/85' 6 75 200 0]\n",
" ['6/17/85' 6 70 200 0]\n",
" ['7/29/85' 6 81 200 0]\n",
" ['8/27/85' 6 76 200 0]\n",
" ['10/03/85' 6 79 200 0]\n",
" ['10/30/85' 6 75 200 2]\n",
" ['11/26/85' 6 76 200 0]\n",
" ['1/12/86' 6 58 200 1]]\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"x = pd.read_csv('shuttle.csv', header=0).values\n",
"\n",
"print(x)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
module2/exo5/exo5_R_en.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Analysis of the risk of failure of the O-rings on the Challenger shuttle"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"On January 27, 1986, the day before the takeoff of the shuttle _Challenger_, had\n",
"a three-hour teleconference was held between \n",
"Morton Thiokol (the manufacturer of one of the engines) and NASA. The\n",
"discussion focused on the consequences of the\n",
"temperature at take-off of 31°F (just below\n",
"0°C) for the success of the flight and in particular on the performance of the\n",
"O-rings used in the engines. Indeed, no test\n",
"had been performed at this temperature.\n",
"\n",
"The following study takes up some of the analyses carried out that\n",
"night with the objective of assessing the potential influence of\n",
"the temperature and pressure to which the O-rings are subjected\n",
"on their probability of malfunction. Our starting point is \n",
"the results of the experiments carried out by NASA engineers\n",
"during the six years preceding the launch of the shuttle\n",
"Challenger."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Loading the data\n",
"We start by loading this data:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<caption>A data.frame: 23 × 5</caption>\n",
"<thead>\n",
"\t<tr><th scope=col>Date</th><th scope=col>Count</th><th scope=col>Temperature</th><th scope=col>Pressure</th><th scope=col>Malfunction</th></tr>\n",
"\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
"</thead>\n",
"<tbody>\n",
"\t<tr><td>4/12/81 </td><td>6</td><td>66</td><td> 50</td><td>0</td></tr>\n",
"\t<tr><td>11/12/81 </td><td>6</td><td>70</td><td> 50</td><td>1</td></tr>\n",
"\t<tr><td>3/22/82 </td><td>6</td><td>69</td><td> 50</td><td>0</td></tr>\n",
"\t<tr><td>11/11/82 </td><td>6</td><td>68</td><td> 50</td><td>0</td></tr>\n",
"\t<tr><td>4/04/83 </td><td>6</td><td>67</td><td> 50</td><td>0</td></tr>\n",
"\t<tr><td>6/18/82 </td><td>6</td><td>72</td><td> 50</td><td>0</td></tr>\n",
"\t<tr><td>8/30/83 </td><td>6</td><td>73</td><td>100</td><td>0</td></tr>\n",
"\t<tr><td>11/28/83 </td><td>6</td><td>70</td><td>100</td><td>0</td></tr>\n",
"\t<tr><td>2/03/84 </td><td>6</td><td>57</td><td>200</td><td>1</td></tr>\n",
"\t<tr><td>4/06/84 </td><td>6</td><td>63</td><td>200</td><td>1</td></tr>\n",
"\t<tr><td>8/30/84 </td><td>6</td><td>70</td><td>200</td><td>1</td></tr>\n",
"\t<tr><td>10/05/84 </td><td>6</td><td>78</td><td>200</td><td>0</td></tr>\n",
"\t<tr><td>11/08/84 </td><td>6</td><td>67</td><td>200</td><td>0</td></tr>\n",
"\t<tr><td>1/24/85 </td><td>6</td><td>53</td><td>200</td><td>2</td></tr>\n",
"\t<tr><td>4/12/85 </td><td>6</td><td>67</td><td>200</td><td>0</td></tr>\n",
"\t<tr><td>4/29/85 </td><td>6</td><td>75</td><td>200</td><td>0</td></tr>\n",
"\t<tr><td>6/17/85 </td><td>6</td><td>70</td><td>200</td><td>0</td></tr>\n",
"\t<tr><td>7/29/85</td><td>6</td><td>81</td><td>200</td><td>0</td></tr>\n",
"\t<tr><td>8/27/85 </td><td>6</td><td>76</td><td>200</td><td>0</td></tr>\n",
"\t<tr><td>10/03/85 </td><td>6</td><td>79</td><td>200</td><td>0</td></tr>\n",
"\t<tr><td>10/30/85 </td><td>6</td><td>75</td><td>200</td><td>2</td></tr>\n",
"\t<tr><td>11/26/85 </td><td>6</td><td>76</td><td>200</td><td>0</td></tr>\n",
"\t<tr><td>1/12/86 </td><td>6</td><td>58</td><td>200</td><td>1</td></tr>\n",
"</tbody>\n",
"</table>\n"
],
"text/latex": [
"A data.frame: 23 × 5\n",
"\\begin{tabular}{r|lllll}\n",
" Date & Count & Temperature & Pressure & Malfunction\\\\\n",
" <fct> & <int> & <int> & <int> & <int>\\\\\n",
"\\hline\n",
"\t 4/12/81 & 6 & 66 & 50 & 0\\\\\n",
"\t 11/12/81 & 6 & 70 & 50 & 1\\\\\n",
"\t 3/22/82 & 6 & 69 & 50 & 0\\\\\n",
"\t 11/11/82 & 6 & 68 & 50 & 0\\\\\n",
"\t 4/04/83 & 6 & 67 & 50 & 0\\\\\n",
"\t 6/18/82 & 6 & 72 & 50 & 0\\\\\n",
"\t 8/30/83 & 6 & 73 & 100 & 0\\\\\n",
"\t 11/28/83 & 6 & 70 & 100 & 0\\\\\n",
"\t 2/03/84 & 6 & 57 & 200 & 1\\\\\n",
"\t 4/06/84 & 6 & 63 & 200 & 1\\\\\n",
"\t 8/30/84 & 6 & 70 & 200 & 1\\\\\n",
"\t 10/05/84 & 6 & 78 & 200 & 0\\\\\n",
"\t 11/08/84 & 6 & 67 & 200 & 0\\\\\n",
"\t 1/24/85 & 6 & 53 & 200 & 2\\\\\n",
"\t 4/12/85 & 6 & 67 & 200 & 0\\\\\n",
"\t 4/29/85 & 6 & 75 & 200 & 0\\\\\n",
"\t 6/17/85 & 6 & 70 & 200 & 0\\\\\n",
"\t 7/29/85 & 6 & 81 & 200 & 0\\\\\n",
"\t 8/27/85 & 6 & 76 & 200 & 0\\\\\n",
"\t 10/03/85 & 6 & 79 & 200 & 0\\\\\n",
"\t 10/30/85 & 6 & 75 & 200 & 2\\\\\n",
"\t 11/26/85 & 6 & 76 & 200 & 0\\\\\n",
"\t 1/12/86 & 6 & 58 & 200 & 1\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.frame: 23 × 5\n",
"\n",
"| Date &lt;fct&gt; | Count &lt;int&gt; | Temperature &lt;int&gt; | Pressure &lt;int&gt; | Malfunction &lt;int&gt; |\n",
"|---|---|---|---|---|\n",
"| 4/12/81 | 6 | 66 | 50 | 0 |\n",
"| 11/12/81 | 6 | 70 | 50 | 1 |\n",
"| 3/22/82 | 6 | 69 | 50 | 0 |\n",
"| 11/11/82 | 6 | 68 | 50 | 0 |\n",
"| 4/04/83 | 6 | 67 | 50 | 0 |\n",
"| 6/18/82 | 6 | 72 | 50 | 0 |\n",
"| 8/30/83 | 6 | 73 | 100 | 0 |\n",
"| 11/28/83 | 6 | 70 | 100 | 0 |\n",
"| 2/03/84 | 6 | 57 | 200 | 1 |\n",
"| 4/06/84 | 6 | 63 | 200 | 1 |\n",
"| 8/30/84 | 6 | 70 | 200 | 1 |\n",
"| 10/05/84 | 6 | 78 | 200 | 0 |\n",
"| 11/08/84 | 6 | 67 | 200 | 0 |\n",
"| 1/24/85 | 6 | 53 | 200 | 2 |\n",
"| 4/12/85 | 6 | 67 | 200 | 0 |\n",
"| 4/29/85 | 6 | 75 | 200 | 0 |\n",
"| 6/17/85 | 6 | 70 | 200 | 0 |\n",
"| 7/29/85 | 6 | 81 | 200 | 0 |\n",
"| 8/27/85 | 6 | 76 | 200 | 0 |\n",
"| 10/03/85 | 6 | 79 | 200 | 0 |\n",
"| 10/30/85 | 6 | 75 | 200 | 2 |\n",
"| 11/26/85 | 6 | 76 | 200 | 0 |\n",
"| 1/12/86 | 6 | 58 | 200 | 1 |\n",
"\n"
],
"text/plain": [
" Date Count Temperature Pressure Malfunction\n",
"1 4/12/81 6 66 50 0 \n",
"2 11/12/81 6 70 50 1 \n",
"3 3/22/82 6 69 50 0 \n",
"4 11/11/82 6 68 50 0 \n",
"5 4/04/83 6 67 50 0 \n",
"6 6/18/82 6 72 50 0 \n",
"7 8/30/83 6 73 100 0 \n",
"8 11/28/83 6 70 100 0 \n",
"9 2/03/84 6 57 200 1 \n",
"10 4/06/84 6 63 200 1 \n",
"11 8/30/84 6 70 200 1 \n",
"12 10/05/84 6 78 200 0 \n",
"13 11/08/84 6 67 200 0 \n",
"14 1/24/85 6 53 200 2 \n",
"15 4/12/85 6 67 200 0 \n",
"16 4/29/85 6 75 200 0 \n",
"17 6/17/85 6 70 200 0 \n",
"18 7/29/85 6 81 200 0 \n",
"19 8/27/85 6 76 200 0 \n",
"20 10/03/85 6 79 200 0 \n",
"21 10/30/85 6 75 200 2 \n",
"22 11/26/85 6 76 200 0 \n",
"23 1/12/86 6 58 200 1 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data = read.csv(\"shuttle.csv\",header=T)\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The data set shows us the date of each test, the number of O-rings (there are 6 on the main launcher), the temperature (in Fahrenheit) and pressure (in psi), and finally the number of identified malfunctions."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Graphical inspection\n",
"Flights without incidents do not provide any information\n",
"on the influence of temperature or pressure on malfunction.\n",
"We thus focus on the experiments in which at least one O-ring\n",
"was defective."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<caption>A data.frame: 7 × 5</caption>\n",
"<thead>\n",
"\t<tr><th></th><th scope=col>Date</th><th scope=col>Count</th><th scope=col>Temperature</th><th scope=col>Pressure</th><th scope=col>Malfunction</th></tr>\n",
"\t<tr><th></th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
"</thead>\n",
"<tbody>\n",
"\t<tr><th scope=row>2</th><td>11/12/81</td><td>6</td><td>70</td><td> 50</td><td>1</td></tr>\n",
"\t<tr><th scope=row>9</th><td>2/03/84 </td><td>6</td><td>57</td><td>200</td><td>1</td></tr>\n",
"\t<tr><th scope=row>10</th><td>4/06/84 </td><td>6</td><td>63</td><td>200</td><td>1</td></tr>\n",
"\t<tr><th scope=row>11</th><td>8/30/84 </td><td>6</td><td>70</td><td>200</td><td>1</td></tr>\n",
"\t<tr><th scope=row>14</th><td>1/24/85 </td><td>6</td><td>53</td><td>200</td><td>2</td></tr>\n",
"\t<tr><th scope=row>21</th><td>10/30/85</td><td>6</td><td>75</td><td>200</td><td>2</td></tr>\n",
"\t<tr><th scope=row>23</th><td>1/12/86 </td><td>6</td><td>58</td><td>200</td><td>1</td></tr>\n",
"</tbody>\n",
"</table>\n"
],
"text/latex": [
"A data.frame: 7 × 5\n",
"\\begin{tabular}{r|lllll}\n",
" & Date & Count & Temperature & Pressure & Malfunction\\\\\n",
" & <fct> & <int> & <int> & <int> & <int>\\\\\n",
"\\hline\n",
"\t2 & 11/12/81 & 6 & 70 & 50 & 1\\\\\n",
"\t9 & 2/03/84 & 6 & 57 & 200 & 1\\\\\n",
"\t10 & 4/06/84 & 6 & 63 & 200 & 1\\\\\n",
"\t11 & 8/30/84 & 6 & 70 & 200 & 1\\\\\n",
"\t14 & 1/24/85 & 6 & 53 & 200 & 2\\\\\n",
"\t21 & 10/30/85 & 6 & 75 & 200 & 2\\\\\n",
"\t23 & 1/12/86 & 6 & 58 & 200 & 1\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.frame: 7 × 5\n",
"\n",
"| <!--/--> | Date &lt;fct&gt; | Count &lt;int&gt; | Temperature &lt;int&gt; | Pressure &lt;int&gt; | Malfunction &lt;int&gt; |\n",
"|---|---|---|---|---|---|\n",
"| 2 | 11/12/81 | 6 | 70 | 50 | 1 |\n",
"| 9 | 2/03/84 | 6 | 57 | 200 | 1 |\n",
"| 10 | 4/06/84 | 6 | 63 | 200 | 1 |\n",
"| 11 | 8/30/84 | 6 | 70 | 200 | 1 |\n",
"| 14 | 1/24/85 | 6 | 53 | 200 | 2 |\n",
"| 21 | 10/30/85 | 6 | 75 | 200 | 2 |\n",
"| 23 | 1/12/86 | 6 | 58 | 200 | 1 |\n",
"\n"
],
"text/plain": [
" Date Count Temperature Pressure Malfunction\n",
"2 11/12/81 6 70 50 1 \n",
"9 2/03/84 6 57 200 1 \n",
"10 4/06/84 6 63 200 1 \n",
"11 8/30/84 6 70 200 1 \n",
"14 1/24/85 6 53 200 2 \n",
"21 10/30/85 6 75 200 2 \n",
"23 1/12/86 6 58 200 1 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data = data[data$Malfunction>0,]\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We have a high temperature variability but\n",
"the pressure is almost always 200, which should\n",
"simplify the analysis.\n",
"\n",
"How does the frequency of failure vary with temperature?"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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9cvK3J/KJoojpBgGU8hPWUuPpxcfTnU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\nRTZ+AAAAAElFTkSuQmCC",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot(data=data, Malfunction/Count ~ Temperature, ylim=c(0,1))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At first glance, the dependence does not look very important, but let's try to\n",
"estimate the impact of temperature $t$ on the probability of O-ring malfunction."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation of the temperature influence\n",
"\n",
"Suppose that each of the six O-rings is damaged with the same\n",
"probability and independently of the others and that this probability\n",
"depends only on the temperature. If $p(t)$ is this probability, the\n",
"number $D$ of malfunctioning O-rings during a flight at\n",
"temperature $t$ follows a binomial law with parameters $n=6$ and\n",
"$p=p(t)$. To link $p(t)$ to $t$, we will therefore perform a\n",
"logistic regression."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\n",
"Call:\n",
"glm(formula = Malfunction/Count ~ Temperature, family = binomial(link = \"logit\"), \n",
" data = data, weights = Count)\n",
"\n",
"Deviance Residuals: \n",
" 2 9 10 11 14 21 23 \n",
"-0.3015 -0.2836 -0.2919 -0.3015 0.6891 0.6560 -0.2850 \n",
"\n",
"Coefficients:\n",
" Estimate Std. Error z value Pr(>|z|)\n",
"(Intercept) -1.389528 3.195752 -0.435 0.664\n",
"Temperature 0.001416 0.049773 0.028 0.977\n",
"\n",
"(Dispersion parameter for binomial family taken to be 1)\n",
"\n",
" Null deviance: 1.3347 on 6 degrees of freedom\n",
"Residual deviance: 1.3339 on 5 degrees of freedom\n",
"AIC: 18.894\n",
"\n",
"Number of Fisher Scoring iterations: 4\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"logistic_reg = glm(data=data, Malfunction/Count ~ Temperature, weights=Count, \n",
" family=binomial(link='logit'))\n",
"summary(logistic_reg)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The most likely estimator of the temperature parameter is 0.0014\n",
"and the standard error of this estimator is 0.122, in other words we\n",
"cannot distinguish any particular impact and we must take our\n",
"estimates with caution."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation of the probability of O-ring malfunction\n",
"\n",
"The expected temperature on the take-off day is 31°F. Let's try to\n",
"estimate the probability of O-ring malfunction at\n",
"this temperature from the model we just built:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tempv = seq(from=30, to=90, by = .5)\n",
"rmv <- predict(logistic_reg,list(Temperature=tempv),type=\"response\")\n",
"plot(tempv,rmv,type=\"l\",ylim=c(0,1))\n",
"points(data=data, Malfunction/Count ~ Temperature)"
]
},
{
"cell_type": "markdown",
"metadata": {
"hideCode": false,
"hidePrompt": false,
"scrolled": true
},
"source": [
"As expected from the initial data, the\n",
"temperature has no significant impact on the probability of failure of the\n",
"O-rings. It will be about 0.2, as in the tests\n",
"where we had a failure of at least one joint. Let's get back\n",
"to the initial dataset to estimate the probability of failure:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"0.0652173913043478"
],
"text/latex": [
"0.0652173913043478"
],
"text/markdown": [
"0.0652173913043478"
],
"text/plain": [
"[1] 0.06521739"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data_full = read.csv(\"shuttle.csv\",header=T)\n",
"sum(data_full$Malfunction)/sum(data_full$Count)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This probability is thus about $p=0.065$. Knowing that there is\n",
"a primary and a secondary O-ring on each of the three parts of the\n",
"launcher, the probability of failure of both joints of a launcher\n",
"is $p^2 \\approx 0.00425$. The probability of failure of any one of the\n",
"launchers is $1-(1-p^2)^3 \\approx 1.2\\%$. That would really be\n",
"bad luck.... Everything is under control, so the takeoff can happen\n",
"tomorrow as planned.\n",
"\n",
"But the next day, the Challenger shuttle exploded and took away\n",
"with her the seven crew members. The public was shocked and in\n",
"the subsequent investigation, the reliability of the\n",
"O-rings was questioned. Beyond the internal communication problems\n",
"of NASA, which have a lot to do with this fiasco, the previous analysis\n",
"includes (at least) a small problem.... Can you find it?\n",
"You are free to modify this analysis and to look at this dataset\n",
"from all angles in order to to explain what's wrong."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Hide code",
"kernelspec": {
"display_name": "R",
"language": "R",
"name": "ir"
},
"language_info": {
"codemirror_mode": "r",
"file_extension": ".r",
"mimetype": "text/x-r-source",
"name": "R",
"pygments_lexer": "r",
"version": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo5/exo5_R_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Analysis of the risk of failure of the O-rings on the Challenger shuttle
#+AUTHOR: Arnaud Legrand
#+LANGUAGE: en
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
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#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
#+LATEX_HEADER: \usepackage[utf8]{inputenc}
#+LATEX_HEADER: \usepackage[T1]{fontenc}
#+LATEX_HEADER: \usepackage[a4paper,margin=.8in]{geometry}
#+LATEX_HEADER: \usepackage[french]{babel}
# #+PROPERTY: header-args :session :exports both
On January 27, 1986, the day before the takeoff of the shuttle /Challenger/, had
a three-hour teleconference was held between
Morton Thiokol (the manufacturer of one of the engines) and NASA. The
discussion focused on the consequences of the
temperature at take-off of 31°F (just below
0°C) for the success of the flight and in particular on the performance of the
O-rings used in the engines. Indeed, no test
had been performed at this temperature.
The following study takes up some of the analyses carried out that
night with the objective of assessing the potential influence of
the temperature and pressure to which the O-rings are subjected
on their probability of malfunction. Our starting point is
the results of the experiments carried out by NASA engineers
during the six years preceding the launch of the shuttle
Challenger.
* Loading the data
We start by loading this data:
#+begin_src R :results output :session *R* :exports both
data = read.csv("shuttle.csv",header=T)
data
#+end_src
#+RESULTS:
#+begin_example
Date Count Temperature Pressure Malfunction
1 4/12/81 6 66 50 0
2 11/12/81 6 70 50 1
3 3/22/82 6 69 50 0
4 11/11/82 6 68 50 0
5 4/04/83 6 67 50 0
6 6/18/82 6 72 50 0
7 8/30/83 6 73 100 0
8 11/28/83 6 70 100 0
9 2/03/84 6 57 200 1
10 4/06/84 6 63 200 1
11 8/30/84 6 70 200 1
12 10/05/84 6 78 200 0
13 11/08/84 6 67 200 0
14 1/24/85 6 53 200 2
15 4/12/85 6 67 200 0
16 4/29/85 6 75 200 0
17 6/17/85 6 70 200 0
18 7/29/85 6 81 200 0
19 8/27/85 6 76 200 0
20 10/03/85 6 79 200 0
21 10/30/85 6 75 200 2
22 11/26/85 6 76 200 0
23 1/12/86 6 58 200 1
#+end_example
The data set shows us the date of each test, the number of O-rings
(there are 6 on the main launcher), the
temperature (in Fahrenheit) and pressure (in psi), and finally the
number of identified malfunctions.
* Graphical inspection
Flights without incidents do not provide any information
on the influence of temperature or pressure on malfunction.
We thus focus on the experiments in which at least one O-ring was defective.
#+begin_src R :results output :session *R* :exports both
data = data[data$Malfunction>0,]
data
#+end_src
#+RESULTS:
: Date Count Temperature Pressure Malfunction
: 2 11/12/81 6 70 50 1
: 9 2/03/84 6 57 200 1
: 10 4/06/84 6 63 200 1
: 11 8/30/84 6 70 200 1
: 14 1/24/85 6 53 200 2
: 21 10/30/85 6 75 200 2
: 23 1/12/86 6 58 200 1
We have a high temperature variability but
the pressure is almost always 200, which should
simplify the analysis.
How does the frequency of failure vary with temperature?
#+begin_src R :results output graphics :file "freq_temp.png" :exports both :width 600 :height 400 :session *R*
plot(data=data, Malfunction/Count ~ Temperature, ylim=c(0,1))
#+end_src
#+RESULTS:
[[file:freq_temp.png]]
At first glance, the dependence does not look very important, but let's try to
estimate the impact of temperature $t$ on the probability of O-ring malfunction.
* Estimation of the temperature influence
Suppose that each of the six O-rings is damaged with the same
probability and independently of the others and that this probability
depends only on the temperature. If $p(t)$ is this probability, the
number $D$ of malfunctioning O-rings during a flight at
temperature $t$ follows a binomial law with parameters $n=6$ and
$p=p(t)$. To link $p(t)$ to $t$, we will therefore perform a
logistic regression.
#+begin_src R :results output :session *R* :exports both
logistic_reg = glm(data=data, Malfunction/Count ~ Temperature, weights=Count,
family=binomial(link='logit'))
summary(logistic_reg)
#+end_src
#+RESULTS:
#+begin_example
Call:
glm(formula = Malfunction/Count ~ Temperature, family = binomial(link = "logit"),
data = data, weights = Count)
Deviance Residuals:
2 9 10 11 14 21 23
-0.3015 -0.2836 -0.2919 -0.3015 0.6891 0.6560 -0.2850
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -1.389528 3.195752 -0.435 0.664
Temperature 0.001416 0.049773 0.028 0.977
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 1.3347 on 6 degrees of freedom
Residual deviance: 1.3339 on 5 degrees of freedom
AIC: 18.894
Number of Fisher Scoring iterations: 4
#+end_example
The most likely estimator of the temperature parameter is 0.001416
and the standard error of this estimator is 0.049, in other words we
cannot distinguish any particular impact and we must take our
estimates with caution.
* Estimation of the probability of O-ring malfunction
The expected temperature on the take-off day is 31°F. Let's try to
estimate the probability of O-ring malfunction at
this temperature from the model we just built:
#+begin_src R :results output graphics :file "proba_estimate.png" :exports both :width 600 :height 400 :session *R*
# shuttle=shuttle[shuttle$r!=0,]
tempv = seq(from=30, to=90, by = .5)
rmv <- predict(logistic_reg,list(Temperature=tempv),type="response")
plot(tempv,rmv,type="l",ylim=c(0,1))
points(data=data, Malfunction/Count ~ Temperature)
#+end_src
#+RESULTS:
[[file:proba_estimate.png]]
As expected from the initial data, the
temperature has no significant impact on the probability of failure of the
O-rings. It will be about 0.2, as in the tests
where we had a failure of at least one joint. Let's get back to the initial dataset to estimate the probability of failure:
#+begin_src R :results output :session *R* :exports both
data_full = read.csv("shuttle.csv",header=T)
sum(data_full$Malfunction)/sum(data_full$Count)
#+end_src
#+RESULTS:
: [1] 0.06521739
This probability is thus about $p=0.065$. Knowing that there is
a primary and a secondary O-ring on each of the three parts of the
launcher, the probability of failure of both joints of a launcher
is $p^2 \approx 0.00425$. The probability of failure of any one of the
launchers is $1-(1-p^2)^3 \approx 1.2%$. That would really be
bad luck.... Everything is under control, so the takeoff can happen
tomorrow as planned.
But the next day, the Challenger shuttle exploded and took away
with her the seven crew members. The public was shocked and in
the subsequent investigation, the reliability of the
O-rings was questioned. Beyond the internal communication problems
of NASA, which have a lot to do with this fiasco, the previous analysis
includes (at least) a small problem.... Can you find it?
You are free to modify this analysis and to look at this dataset
from all angles in order to to explain what's wrong.
module2/exo5/exo5_R_fr.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Analyse du risque de défaillance des joints toriques de la navette Challenger"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Le 27 Janvier 1986, veille du décollage de la navette _Challenger_, eu\n",
"lieu une télé-conférence de trois heures entre les ingénieurs de la\n",
"Morton Thiokol (constructeur d'un des moteurs) et de la NASA. La\n",
"discussion portait principalement sur les conséquences de la\n",
"température prévue au moment du décollage de 31°F (juste en dessous de\n",
"0°C) sur le succès du vol et en particulier sur la performance des\n",
"joints toriques utilisés dans les moteurs. En effet, aucun test\n",
"n'avait été effectué à cette température.\n",
"\n",
"L'étude qui suit reprend donc une partie des analyses effectuées cette\n",
"nuit là et dont l'objectif était d'évaluer l'influence potentielle de\n",
"la température et de la pression à laquelle sont soumis les joints\n",
"toriques sur leur probabilité de dysfonctionnement. Pour cela, nous\n",
"disposons des résultats des expériences réalisées par les ingénieurs\n",
"de la NASA durant les 6 années précédant le lancement de la navette\n",
"Challenger."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Chargement des données\n",
"Nous commençons donc par charger ces données :"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<thead><tr><th scope=col>Date</th><th scope=col>Count</th><th scope=col>Temperature</th><th scope=col>Pressure</th><th scope=col>Malfunction</th></tr></thead>\n",
"<tbody>\n",
"\t<tr><td>4/12/81 </td><td>6 </td><td>66 </td><td> 50 </td><td>0 </td></tr>\n",
"\t<tr><td>11/12/81</td><td>6 </td><td>70 </td><td> 50 </td><td>1 </td></tr>\n",
"\t<tr><td>3/22/82 </td><td>6 </td><td>69 </td><td> 50 </td><td>0 </td></tr>\n",
"\t<tr><td>11/11/82</td><td>6 </td><td>68 </td><td> 50 </td><td>0 </td></tr>\n",
"\t<tr><td>4/04/83 </td><td>6 </td><td>67 </td><td> 50 </td><td>0 </td></tr>\n",
"\t<tr><td>6/18/82 </td><td>6 </td><td>72 </td><td> 50 </td><td>0 </td></tr>\n",
"\t<tr><td>8/30/83 </td><td>6 </td><td>73 </td><td>100 </td><td>0 </td></tr>\n",
"\t<tr><td>11/28/83</td><td>6 </td><td>70 </td><td>100 </td><td>0 </td></tr>\n",
"\t<tr><td>2/03/84 </td><td>6 </td><td>57 </td><td>200 </td><td>1 </td></tr>\n",
"\t<tr><td>4/06/84 </td><td>6 </td><td>63 </td><td>200 </td><td>1 </td></tr>\n",
"\t<tr><td>8/30/84 </td><td>6 </td><td>70 </td><td>200 </td><td>1 </td></tr>\n",
"\t<tr><td>10/05/84</td><td>6 </td><td>78 </td><td>200 </td><td>0 </td></tr>\n",
"\t<tr><td>11/08/84</td><td>6 </td><td>67 </td><td>200 </td><td>0 </td></tr>\n",
"\t<tr><td>1/24/85 </td><td>6 </td><td>53 </td><td>200 </td><td>2 </td></tr>\n",
"\t<tr><td>4/12/85 </td><td>6 </td><td>67 </td><td>200 </td><td>0 </td></tr>\n",
"\t<tr><td>4/29/85 </td><td>6 </td><td>75 </td><td>200 </td><td>0 </td></tr>\n",
"\t<tr><td>6/17/85 </td><td>6 </td><td>70 </td><td>200 </td><td>0 </td></tr>\n",
"\t<tr><td>7/29/85 </td><td>6 </td><td>81 </td><td>200 </td><td>0 </td></tr>\n",
"\t<tr><td>8/27/85 </td><td>6 </td><td>76 </td><td>200 </td><td>0 </td></tr>\n",
"\t<tr><td>10/03/85</td><td>6 </td><td>79 </td><td>200 </td><td>0 </td></tr>\n",
"\t<tr><td>10/30/85</td><td>6 </td><td>75 </td><td>200 </td><td>2 </td></tr>\n",
"\t<tr><td>11/26/85</td><td>6 </td><td>76 </td><td>200 </td><td>0 </td></tr>\n",
"\t<tr><td>1/12/86 </td><td>6 </td><td>58 </td><td>200 </td><td>1 </td></tr>\n",
"</tbody>\n",
"</table>\n"
],
"text/latex": [
"\\begin{tabular}{r|lllll}\n",
" Date & Count & Temperature & Pressure & Malfunction\\\\\n",
"\\hline\n",
"\t 4/12/81 & 6 & 66 & 50 & 0 \\\\\n",
"\t 11/12/81 & 6 & 70 & 50 & 1 \\\\\n",
"\t 3/22/82 & 6 & 69 & 50 & 0 \\\\\n",
"\t 11/11/82 & 6 & 68 & 50 & 0 \\\\\n",
"\t 4/04/83 & 6 & 67 & 50 & 0 \\\\\n",
"\t 6/18/82 & 6 & 72 & 50 & 0 \\\\\n",
"\t 8/30/83 & 6 & 73 & 100 & 0 \\\\\n",
"\t 11/28/83 & 6 & 70 & 100 & 0 \\\\\n",
"\t 2/03/84 & 6 & 57 & 200 & 1 \\\\\n",
"\t 4/06/84 & 6 & 63 & 200 & 1 \\\\\n",
"\t 8/30/84 & 6 & 70 & 200 & 1 \\\\\n",
"\t 10/05/84 & 6 & 78 & 200 & 0 \\\\\n",
"\t 11/08/84 & 6 & 67 & 200 & 0 \\\\\n",
"\t 1/24/85 & 6 & 53 & 200 & 2 \\\\\n",
"\t 4/12/85 & 6 & 67 & 200 & 0 \\\\\n",
"\t 4/29/85 & 6 & 75 & 200 & 0 \\\\\n",
"\t 6/17/85 & 6 & 70 & 200 & 0 \\\\\n",
"\t 7/29/85 & 6 & 81 & 200 & 0 \\\\\n",
"\t 8/27/85 & 6 & 76 & 200 & 0 \\\\\n",
"\t 10/03/85 & 6 & 79 & 200 & 0 \\\\\n",
"\t 10/30/85 & 6 & 75 & 200 & 2 \\\\\n",
"\t 11/26/85 & 6 & 76 & 200 & 0 \\\\\n",
"\t 1/12/86 & 6 & 58 & 200 & 1 \\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"Date | Count | Temperature | Pressure | Malfunction | \n",
"|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
"| 4/12/81 | 6 | 66 | 50 | 0 | \n",
"| 11/12/81 | 6 | 70 | 50 | 1 | \n",
"| 3/22/82 | 6 | 69 | 50 | 0 | \n",
"| 11/11/82 | 6 | 68 | 50 | 0 | \n",
"| 4/04/83 | 6 | 67 | 50 | 0 | \n",
"| 6/18/82 | 6 | 72 | 50 | 0 | \n",
"| 8/30/83 | 6 | 73 | 100 | 0 | \n",
"| 11/28/83 | 6 | 70 | 100 | 0 | \n",
"| 2/03/84 | 6 | 57 | 200 | 1 | \n",
"| 4/06/84 | 6 | 63 | 200 | 1 | \n",
"| 8/30/84 | 6 | 70 | 200 | 1 | \n",
"| 10/05/84 | 6 | 78 | 200 | 0 | \n",
"| 11/08/84 | 6 | 67 | 200 | 0 | \n",
"| 1/24/85 | 6 | 53 | 200 | 2 | \n",
"| 4/12/85 | 6 | 67 | 200 | 0 | \n",
"| 4/29/85 | 6 | 75 | 200 | 0 | \n",
"| 6/17/85 | 6 | 70 | 200 | 0 | \n",
"| 7/29/85 | 6 | 81 | 200 | 0 | \n",
"| 8/27/85 | 6 | 76 | 200 | 0 | \n",
"| 10/03/85 | 6 | 79 | 200 | 0 | \n",
"| 10/30/85 | 6 | 75 | 200 | 2 | \n",
"| 11/26/85 | 6 | 76 | 200 | 0 | \n",
"| 1/12/86 | 6 | 58 | 200 | 1 | \n",
"\n",
"\n"
],
"text/plain": [
" Date Count Temperature Pressure Malfunction\n",
"1 4/12/81 6 66 50 0 \n",
"2 11/12/81 6 70 50 1 \n",
"3 3/22/82 6 69 50 0 \n",
"4 11/11/82 6 68 50 0 \n",
"5 4/04/83 6 67 50 0 \n",
"6 6/18/82 6 72 50 0 \n",
"7 8/30/83 6 73 100 0 \n",
"8 11/28/83 6 70 100 0 \n",
"9 2/03/84 6 57 200 1 \n",
"10 4/06/84 6 63 200 1 \n",
"11 8/30/84 6 70 200 1 \n",
"12 10/05/84 6 78 200 0 \n",
"13 11/08/84 6 67 200 0 \n",
"14 1/24/85 6 53 200 2 \n",
"15 4/12/85 6 67 200 0 \n",
"16 4/29/85 6 75 200 0 \n",
"17 6/17/85 6 70 200 0 \n",
"18 7/29/85 6 81 200 0 \n",
"19 8/27/85 6 76 200 0 \n",
"20 10/03/85 6 79 200 0 \n",
"21 10/30/85 6 75 200 2 \n",
"22 11/26/85 6 76 200 0 \n",
"23 1/12/86 6 58 200 1 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data = read.csv(\"shuttle.csv\",header=T)\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Le jeu de données nous indique la date de l'essai, le nombre de joints\n",
"toriques mesurés (il y en a 6 sur le lançeur principal), la\n",
"température (en Farenheit) et la pression (en psi), et enfin le\n",
"nombre de dysfonctionnements relevés."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Inspection graphique des données\n",
"Les vols où aucun incident n'est relevé n'apportant aucun information\n",
"sur l'influence de la température ou de la pression sur les\n",
"dysfonctionnements, nous nous concentrons sur les expériences où au\n",
"moins un joint a été défectueux."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table>\n",
"<caption>A data.frame: 7 × 5</caption>\n",
"<thead>\n",
"\t<tr><th></th><th scope=col>Date</th><th scope=col>Count</th><th scope=col>Temperature</th><th scope=col>Pressure</th><th scope=col>Malfunction</th></tr>\n",
"\t<tr><th></th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;int&gt;</th></tr>\n",
"</thead>\n",
"<tbody>\n",
"\t<tr><th scope=row>2</th><td>11/12/81</td><td>6</td><td>70</td><td> 50</td><td>1</td></tr>\n",
"\t<tr><th scope=row>9</th><td>2/03/84 </td><td>6</td><td>57</td><td>200</td><td>1</td></tr>\n",
"\t<tr><th scope=row>10</th><td>4/06/84 </td><td>6</td><td>63</td><td>200</td><td>1</td></tr>\n",
"\t<tr><th scope=row>11</th><td>8/30/84 </td><td>6</td><td>70</td><td>200</td><td>1</td></tr>\n",
"\t<tr><th scope=row>14</th><td>1/24/85 </td><td>6</td><td>53</td><td>200</td><td>2</td></tr>\n",
"\t<tr><th scope=row>21</th><td>10/30/85</td><td>6</td><td>75</td><td>200</td><td>2</td></tr>\n",
"\t<tr><th scope=row>23</th><td>1/12/86 </td><td>6</td><td>58</td><td>200</td><td>1</td></tr>\n",
"</tbody>\n",
"</table>\n"
],
"text/latex": [
"A data.frame: 7 × 5\n",
"\\begin{tabular}{r|lllll}\n",
" & Date & Count & Temperature & Pressure & Malfunction\\\\\n",
" & <fct> & <int> & <int> & <int> & <int>\\\\\n",
"\\hline\n",
"\t2 & 11/12/81 & 6 & 70 & 50 & 1\\\\\n",
"\t9 & 2/03/84 & 6 & 57 & 200 & 1\\\\\n",
"\t10 & 4/06/84 & 6 & 63 & 200 & 1\\\\\n",
"\t11 & 8/30/84 & 6 & 70 & 200 & 1\\\\\n",
"\t14 & 1/24/85 & 6 & 53 & 200 & 2\\\\\n",
"\t21 & 10/30/85 & 6 & 75 & 200 & 2\\\\\n",
"\t23 & 1/12/86 & 6 & 58 & 200 & 1\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
"\n",
"A data.frame: 7 × 5\n",
"\n",
"| <!--/--> | Date &lt;fct&gt; | Count &lt;int&gt; | Temperature &lt;int&gt; | Pressure &lt;int&gt; | Malfunction &lt;int&gt; |\n",
"|---|---|---|---|---|---|\n",
"| 2 | 11/12/81 | 6 | 70 | 50 | 1 |\n",
"| 9 | 2/03/84 | 6 | 57 | 200 | 1 |\n",
"| 10 | 4/06/84 | 6 | 63 | 200 | 1 |\n",
"| 11 | 8/30/84 | 6 | 70 | 200 | 1 |\n",
"| 14 | 1/24/85 | 6 | 53 | 200 | 2 |\n",
"| 21 | 10/30/85 | 6 | 75 | 200 | 2 |\n",
"| 23 | 1/12/86 | 6 | 58 | 200 | 1 |\n",
"\n"
],
"text/plain": [
" Date Count Temperature Pressure Malfunction\n",
"2 11/12/81 6 70 50 1 \n",
"9 2/03/84 6 57 200 1 \n",
"10 4/06/84 6 63 200 1 \n",
"11 8/30/84 6 70 200 1 \n",
"14 1/24/85 6 53 200 2 \n",
"21 10/30/85 6 75 200 2 \n",
"23 1/12/86 6 58 200 1 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data = data[data$Malfunction>0,]\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Très bien, nous avons une variabilité de température importante mais\n",
"la pression est quasiment toujours égale à 200, ce qui devrait\n",
"simplifier l'analyse.\n",
"\n",
"Comment la fréquence d'échecs varie-t-elle avec la température ?"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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9cvK3J/KJoojpBgGU8hPWUuPpxcfTnU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\nRTZ+AAAAAElFTkSuQmCC",
"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot(data=data, Malfunction/Count ~ Temperature, ylim=c(0,1))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"À première vue, ce n'est pas flagrant mais bon, essayons quand même\n",
"d'estimer l'impact de la température $t$ sur la probabilité de\n",
"dysfonctionnements d'un joint."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation de l'influence de la température\n",
"\n",
"Supposons que chacun des 6 joints toriques est endommagé avec la même\n",
"probabilité et indépendamment des autres et que cette probabilité ne\n",
"dépend que de la température. Si on note $p(t)$ cette probabilité, le\n",
"nombre de joints $D$ dysfonctionnant lorsque l'on effectue le vol à\n",
"température $t$ suit une loi binomiale de paramètre $n=6$ et\n",
"$p=p(t)$. Pour relier $p(t)$ à $t$, on va donc effectuer une\n",
"régression logistique."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\n",
"Call:\n",
"glm(formula = Malfunction/Count ~ Temperature, family = binomial(link = \"logit\"), \n",
" data = data, weights = Count)\n",
"\n",
"Deviance Residuals: \n",
" 2 9 10 11 14 21 23 \n",
"-0.3015 -0.2836 -0.2919 -0.3015 0.6891 0.6560 -0.2850 \n",
"\n",
"Coefficients:\n",
" Estimate Std. Error z value Pr(>|z|)\n",
"(Intercept) -1.389528 3.195752 -0.435 0.664\n",
"Temperature 0.001416 0.049773 0.028 0.977\n",
"\n",
"(Dispersion parameter for binomial family taken to be 1)\n",
"\n",
" Null deviance: 1.3347 on 6 degrees of freedom\n",
"Residual deviance: 1.3339 on 5 degrees of freedom\n",
"AIC: 18.894\n",
"\n",
"Number of Fisher Scoring iterations: 4\n"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"logistic_reg = glm(data=data, Malfunction/Count ~ Temperature, weights=Count, \n",
" family=binomial(link='logit'))\n",
"summary(logistic_reg)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"L'estimateur le plus probable du paramètre de température est 0.001416\n",
"et l'erreur standard de cet estimateur est de 0.049, autrement dit on\n",
"ne peut pas distinguer d'impact particulier et il faut prendre nos\n",
"estimations avec des pincettes."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation de la probabilité de dysfonctionnant des joints toriques\n",
"\n",
"La température prévue le jour du décollage est de 31°F. Essayons\n",
"d'estimer la probabilité de dysfonctionnement des joints toriques à\n",
"cette température à partir du modèle que nous venons de construire :"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"plot without title"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tempv = seq(from=30, to=90, by = .5)\n",
"rmv <- predict(logistic_reg,list(Temperature=tempv),type=\"response\")\n",
"plot(tempv,rmv,type=\"l\",ylim=c(0,1))\n",
"points(data=data, Malfunction/Count ~ Temperature)"
]
},
{
"cell_type": "markdown",
"metadata": {
"hideCode": false,
"hidePrompt": false,
"scrolled": true
},
"source": [
"Comme on pouvait s'attendre au vu des données initiales, la\n",
"température n'a pas d'impact notable sur la probabilité d'échec des\n",
"joints toriques. Elle sera d'environ 0.2, comme dans les essais\n",
"précédents où nous il y a eu défaillance d'au moins un joint. Revenons\n",
"à l'ensemble des données initiales pour estimer la probabilité de\n",
"défaillance d'un joint :"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"0.0652173913043478"
],
"text/latex": [
"0.0652173913043478"
],
"text/markdown": [
"0.0652173913043478"
],
"text/plain": [
"[1] 0.06521739"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data_full = read.csv(\"shuttle.csv\",header=T)\n",
"sum(data_full$Malfunction)/sum(data_full$Count)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Cette probabilité est donc d'environ $p=0.065$, sachant qu'il existe\n",
"un joint primaire un joint secondaire sur chacune des trois parties du\n",
"lançeur, la probabilité de défaillance des deux joints d'un lançeur\n",
"est de $p^2 \\approx 0.00425$. La probabilité de défaillance d'un des\n",
"lançeur est donc de $1-(1-p^2)^3 \\approx 1.2%$. Ça serait vraiment\n",
"pas de chance... Tout est sous contrôle, le décollage peut donc avoir\n",
"lieu demain comme prévu.\n",
"\n",
"Seulement, le lendemain, la navette Challenger explosera et emportera\n",
"avec elle ses sept membres d'équipages. L'opinion publique est\n",
"fortement touchée et lors de l'enquête qui suivra, la fiabilité des\n",
"joints toriques sera directement mise en cause. Au delà des problèmes\n",
"de communication interne à la NASA qui sont pour beaucoup dans ce\n",
"fiasco, l'analyse précédente comporte (au moins) un petit\n",
"problème... Saurez-vous le trouver ? Vous êtes libre de modifier cette\n",
"analyse et de regarder ce jeu de données sous tous les angles afin\n",
"d'expliquer ce qui ne va pas."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Hide code",
"kernelspec": {
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"language": "R",
"name": "ir"
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"version": "3.5.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo5/exo5_R_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Analyse du risque de défaillance des joints toriques de la navette Challenger
#+AUTHOR: Arnaud Legrand
#+LANGUAGE: fr
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
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#+LATEX_HEADER: \usepackage[utf8]{inputenc}
#+LATEX_HEADER: \usepackage[T1]{fontenc}
#+LATEX_HEADER: \usepackage[a4paper,margin=.8in]{geometry}
#+LATEX_HEADER: \usepackage[french]{babel}
# #+PROPERTY: header-args :session :exports both
Le 27 Janvier 1986, veille du décollage de la navette /Challenger/, eu
lieu une télé-conférence de trois heures entre les ingénieurs de la
Morton Thiokol (constructeur d'un des moteurs) et de la NASA. La
discussion portait principalement sur les conséquences de la
température prévue au moment du décollage de 31°F (juste en dessous de
0°C) sur le succès du vol et en particulier sur la performance des
joints toriques utilisés dans les moteurs. En effet, aucun test
n'avait été effectué à cette température.
L'étude qui suit reprend donc une partie des analyses effectuées cette
nuit là et dont l'objectif était d'évaluer l'influence potentielle de
la température et de la pression à laquelle sont soumis les joints
toriques sur leur probabilité de dysfonctionnement. Pour cela, nous
disposons des résultats des expériences réalisées par les ingénieurs
de la NASA durant les 6 années précédant le lancement de la navette
Challenger.
* Chargement des données
Nous commençons donc par charger ces données:
#+begin_src R :results output :session *R* :exports both
data = read.csv("shuttle.csv",header=T)
data
#+end_src
#+RESULTS:
#+begin_example
Date Count Temperature Pressure Malfunction
1 4/12/81 6 66 50 0
2 11/12/81 6 70 50 1
3 3/22/82 6 69 50 0
4 11/11/82 6 68 50 0
5 4/04/83 6 67 50 0
6 6/18/82 6 72 50 0
7 8/30/83 6 73 100 0
8 11/28/83 6 70 100 0
9 2/03/84 6 57 200 1
10 4/06/84 6 63 200 1
11 8/30/84 6 70 200 1
12 10/05/84 6 78 200 0
13 11/08/84 6 67 200 0
14 1/24/85 6 53 200 2
15 4/12/85 6 67 200 0
16 4/29/85 6 75 200 0
17 6/17/85 6 70 200 0
18 7/29/85 6 81 200 0
19 8/27/85 6 76 200 0
20 10/03/85 6 79 200 0
21 10/30/85 6 75 200 2
22 11/26/85 6 76 200 0
23 1/12/86 6 58 200 1
#+end_example
Le jeu de données nous indique la date de l'essai, le nombre de joints
toriques mesurés (il y en a 6 sur le lançeur principal), la
température (en Fahrenheit) et la pression (en psi), et enfin le
nombre de dysfonctionnements relevés.
* Inspection graphique des données
Les vols où aucun incident n'est relevé n'apportant aucune information
sur l'influence de la température ou de la pression sur les
dysfonctionnements, nous nous concentrons sur les expériences où au
moins un joint a été défectueux.
#+begin_src R :results output :session *R* :exports both
data = data[data$Malfunction>0,]
data
#+end_src
#+RESULTS:
: Date Count Temperature Pressure Malfunction
: 2 11/12/81 6 70 50 1
: 9 2/03/84 6 57 200 1
: 10 4/06/84 6 63 200 1
: 11 8/30/84 6 70 200 1
: 14 1/24/85 6 53 200 2
: 21 10/30/85 6 75 200 2
: 23 1/12/86 6 58 200 1
Très bien, nous avons une variabilité de température importante mais
la pression est quasiment toujours égale à 200, ce qui devrait
simplifier l'analyse.
Comment la fréquence d'échecs varie-t-elle avec la température ?
#+begin_src R :results output graphics :file "freq_temp.png" :exports both :width 600 :height 400 :session *R*
plot(data=data, Malfunction/Count ~ Temperature, ylim=c(0,1))
#+end_src
#+RESULTS:
[[file:freq_temp.png]]
À première vue, ce n'est pas flagrant mais bon, essayons quand même
d'estimer l'impact de la température $t$ sur la probabilité de
dysfonctionnements d'un joint.
* Estimation de l'influence de la température
Supposons que chacun des 6 joints toriques est endommagé avec la même
probabilité et indépendamment des autres et que cette probabilité ne
dépend que de la température. Si on note $p(t)$ cette probabilité, le
nombre de joints $D$ dysfonctionnant lorsque l'on effectue le vol à
température $t$ suit une loi binomiale de paramètre $n=6$ et
$p=p(t)$. Pour relier $p(t)$ à $t$, on va donc effectuer une
régression logistique.
#+begin_src R :results output :session *R* :exports both
logistic_reg = glm(data=data, Malfunction/Count ~ Temperature, weights=Count,
family=binomial(link='logit'))
summary(logistic_reg)
#+end_src
#+RESULTS:
#+begin_example
Call:
glm(formula = Malfunction/Count ~ Temperature, family = binomial(link = "logit"),
data = data, weights = Count)
Deviance Residuals:
2 9 10 11 14 21 23
-0.3015 -0.2836 -0.2919 -0.3015 0.6891 0.6560 -0.2850
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -1.389528 3.195752 -0.435 0.664
Temperature 0.001416 0.049773 0.028 0.977
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 1.3347 on 6 degrees of freedom
Residual deviance: 1.3339 on 5 degrees of freedom
AIC: 18.894
Number of Fisher Scoring iterations: 4
#+end_example
L'estimateur le plus probable du paramètre de température est 0.001416
et l'erreur standard de cet estimateur est de 0.049, autrement dit on
ne peut pas distinguer d'impact particulier et il faut prendre nos
estimations avec des pincettes.
* Estimation de la probabilité de dysfonctionnant des joints toriques
La température prévue le jour du décollage est de 31°F. Essayons
d'estimer la probabilité de dysfonctionnement des joints toriques à
cette température à partir du modèle que nous venons de construire:
#+begin_src R :results output graphics :file "proba_estimate.png" :exports both :width 600 :height 400 :session *R*
# shuttle=shuttle[shuttle$r!=0,]
tempv = seq(from=30, to=90, by = .5)
rmv <- predict(logistic_reg,list(Temperature=tempv),type="response")
plot(tempv,rmv,type="l",ylim=c(0,1))
points(data=data, Malfunction/Count ~ Temperature)
#+end_src
#+RESULTS:
[[file:proba_estimate.png]]
Comme on pouvait s'attendre au vu des données initiales, la
température n'a pas d'impact notable sur la probabilité d'échec des
joints toriques. Elle sera d'environ 0.2, comme dans les essais
précédents où nous il y a eu défaillance d'au moins un joint. Revenons
à l'ensemble des données initiales pour estimer la probabilité de
défaillance d'un joint:
#+begin_src R :results output :session *R* :exports both
data_full = read.csv("shuttle.csv",header=T)
sum(data_full$Malfunction)/sum(data_full$Count)
#+end_src
#+RESULTS:
: [1] 0.06521739
Cette probabilité est donc d'environ $p=0.065$, sachant qu'il existe
un joint primaire un joint secondaire sur chacune des trois parties du
lançeur, la probabilité de défaillance des deux joints d'un lançeur
est de $p^2 \approx 0.00425$. La probabilité de défaillance d'un des
lançeur est donc de $1-(1-p^2)^3 \approx 1.2%$. Ça serait vraiment
pas de chance... Tout est sous contrôle, le décollage peut donc avoir
lieu demain comme prévu.
Seulement, le lendemain, la navette Challenger explosera et emportera
avec elle ses sept membres d'équipages. L'opinion publique est
fortement touchée et lors de l'enquête qui suivra, la fiabilité des
joints toriques sera directement mise en cause. Au delà des problèmes
de communication interne à la NASA qui sont pour beaucoup dans ce
fiasco, l'analyse précédente comporte (au moins) un petit
problème... Saurez-vous le trouver ? Vous êtes libre de modifier cette
analyse et de regarder ce jeu de données sous tous les angles afin
d'expliquer ce qui ne va pas.
module2/exo5/exo5_en.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Analysis of the risk of failure of the O-rings on the Challenger shuttle"
author: "Arnaud Legrand"
date: "28 juin 2018"
output: html_document
---
On January 27, 1986, the day before the takeoff of the shuttle _Challenger_, had
a three-hour teleconference was held between
Morton Thiokol (the manufacturer of one of the engines) and NASA. The
discussion focused on the consequences of the
temperature at take-off of 31°F (just below
0°C) for the success of the flight and in particular on the performance of the
O-rings used in the engines. Indeed, no test
had been performed at this temperature.
The following study takes up some of the analyses carried out that
night with the objective of assessing the potential influence of
the temperature and pressure to which the O-rings are subjected
on their probability of malfunction. Our starting point is
the results of the experiments carried out by NASA engineers
during the six years preceding the launch of the shuttle
Challenger.
# Loading the data
We start by loading this data:
```{r}
data = read.csv("shuttle.csv",header=T)
data
```
The data set shows us the date of each test, the number of O-rings
(there are 6 on the main launcher), the
temperature (in Fahrenheit) and pressure (in psi), and finally the
number of identified malfunctions.
# Graphical inspection
Flights without incidents do not provide any information
on the influence of temperature or pressure on malfunction.
We thus focus on the experiments in which at least one O-ring was defective.
```{r}
data = data[data$Malfunction>0,]
data
```
We have a high temperature variability but
the pressure is almost always 200, which should
simplify the analysis.
How does the frequency of failure vary with temperature?
```{r}
plot(data=data, Malfunction/Count ~ Temperature, ylim=c(0,1))
```
At first glance, the dependence does not look very important, but let's try to
estimate the impact of temperature $t$ on the probability of O-ring malfunction.
# Estimation of the temperature influence
Suppose that each of the six O-rings is damaged with the same
probability and independently of the others and that this probability
depends only on the temperature. If $p(t)$ is this probability, the
number $D$ of malfunctioning O-rings during a flight at
temperature $t$ follows a binomial law with parameters $n=6$ and
$p=p(t)$. To link $p(t)$ to $t$, we will therefore perform a
logistic regression.
```{r}
logistic_reg = glm(data=data, Malfunction/Count ~ Temperature, weights=Count,
family=binomial(link='logit'))
summary(logistic_reg)
```
The most likely estimator of the temperature parameter is 0.001416
and the standard error of this estimator is 0.049, in other words we
cannot distinguish any particular impact and we must take our
estimates with caution.
# Estimation of the probability of O-ring malfunction
The expected temperature on the take-off day is 31°F. Let's try to
estimate the probability of O-ring malfunction at
this temperature from the model we just built:
```{r}
# shuttle=shuttle[shuttle$r!=0,]
tempv = seq(from=30, to=90, by = .5)
rmv <- predict(logistic_reg,list(Temperature=tempv),type="response")
plot(tempv,rmv,type="l",ylim=c(0,1))
points(data=data, Malfunction/Count ~ Temperature)
```
As expected from the initial data, the
temperature has no significant impact on the probability of failure of the
O-rings. It will be about 0.2, as in the tests
where we had a failure of at least one joint. Let's get back to the initial dataset to estimate the probability of failure:
```{r}
data_full = read.csv("shuttle.csv",header=T)
sum(data_full$Malfunction)/sum(data_full$Count)
```
This probability is thus about $p=0.065$. Knowing that there is
a primary and a secondary O-ring on each of the three parts of the
launcher, the probability of failure of both joints of a launcher
is $p^2 \approx 0.00425$. The probability of failure of any one of the
launchers is $1-(1-p^2)^3 \approx 1.2%$. That would really be
bad luck.... Everything is under control, so the takeoff can happen
tomorrow as planned.
But the next day, the Challenger shuttle exploded and took away
with her the seven crew members. The public was shocked and in
the subsequent investigation, the reliability of the
O-rings was questioned. Beyond the internal communication problems
of NASA, which have a lot to do with this fiasco, the previous analysis
includes (at least) a small problem.... Can you find it?
You are free to modify this analysis and to look at this dataset
from all angles in order to to explain what's wrong.
module2/exo5/exo5_en.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Analysis of the risk of failure of the O-rings on the Challenger shuttle"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"On January 27, 1986, the day before the takeoff of the shuttle _Challenger_, had\n",
"a three-hour teleconference was held between \n",
"Morton Thiokol (the manufacturer of one of the engines) and NASA. The\n",
"discussion focused on the consequences of the\n",
"temperature at take-off of 31°F (just below\n",
"0°C) for the success of the flight and in particular on the performance of the\n",
"O-rings used in the engines. Indeed, no test\n",
"had been performed at this temperature.\n",
"\n",
"The following study takes up some of the analyses carried out that\n",
"night with the objective of assessing the potential influence of\n",
"the temperature and pressure to which the O-rings are subjected\n",
"on their probability of malfunction. Our starting point is \n",
"the results of the experiments carried out by NASA engineers\n",
"during the six years preceding the launch of the shuttle\n",
"Challenger."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Loading the data\n",
"We start by loading this data:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
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" <td>53</td>\n",
" <td>200</td>\n",
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"</table>\n",
"</div>"
],
"text/plain": [
" Date Count Temperature Pressure Malfunction\n",
"0 4/12/81 6 66 50 0\n",
"1 11/12/81 6 70 50 1\n",
"2 3/22/82 6 69 50 0\n",
"3 11/11/82 6 68 50 0\n",
"4 4/04/83 6 67 50 0\n",
"5 6/18/82 6 72 50 0\n",
"6 8/30/83 6 73 100 0\n",
"7 11/28/83 6 70 100 0\n",
"8 2/03/84 6 57 200 1\n",
"9 4/06/84 6 63 200 1\n",
"10 8/30/84 6 70 200 1\n",
"11 10/05/84 6 78 200 0\n",
"12 11/08/84 6 67 200 0\n",
"13 1/24/85 6 53 200 2\n",
"14 4/12/85 6 67 200 0\n",
"15 4/29/85 6 75 200 0\n",
"16 6/17/85 6 70 200 0\n",
"17 7/29/85 6 81 200 0\n",
"18 8/27/85 6 76 200 0\n",
"19 10/03/85 6 79 200 0\n",
"20 10/30/85 6 75 200 2\n",
"21 11/26/85 6 76 200 0\n",
"22 1/12/86 6 58 200 1"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"data = pd.read_csv(\"shuttle.csv\")\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The data set shows us the date of each test, the number of O-rings (there are 6 on the main launcher), the temperature (in Fahrenheit) and pressure (in psi), and finally the number of identified malfunctions."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Graphical inspection\n",
"Flights without incidents do not provide any information\n",
"on the influence of temperature or pressure on malfunction.\n",
"We thus focus on the experiments in which at least one O-ring\n",
"was defective."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Date</th>\n",
" <th>Count</th>\n",
" <th>Temperature</th>\n",
" <th>Pressure</th>\n",
" <th>Malfunction</th>\n",
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" <th>10</th>\n",
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" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
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" <td>6</td>\n",
" <td>53</td>\n",
" <td>200</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
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" <td>6</td>\n",
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" <td>200</td>\n",
" <td>2</td>\n",
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" <tr>\n",
" <th>22</th>\n",
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" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Date Count Temperature Pressure Malfunction\n",
"1 11/12/81 6 70 50 1\n",
"8 2/03/84 6 57 200 1\n",
"9 4/06/84 6 63 200 1\n",
"10 8/30/84 6 70 200 1\n",
"13 1/24/85 6 53 200 2\n",
"20 10/30/85 6 75 200 2\n",
"22 1/12/86 6 58 200 1"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = data[data.Malfunction>0]\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We have a high temperature variability but\n",
"the pressure is almost always 200, which should\n",
"simplify the analysis.\n",
"\n",
"How does the frequency of failure vary with temperature?"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"pd.set_option('mode.chained_assignment',None) # this removes a useless warning from pandas\n",
"import matplotlib.pyplot as plt\n",
"\n",
"data[\"Frequency\"]=data.Malfunction/data.Count\n",
"data.plot(x=\"Temperature\",y=\"Frequency\",kind=\"scatter\",ylim=[0,1])\n",
"plt.grid(True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At first glance, the dependence does not look very important, but let's try to\n",
"estimate the impact of temperature $t$ on the probability of O-ring malfunction."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation of the temperature influence\n",
"\n",
"Suppose that each of the six O-rings is damaged with the same\n",
"probability and independently of the others and that this probability\n",
"depends only on the temperature. If $p(t)$ is this probability, the\n",
"number $D$ of malfunctioning O-rings during a flight at\n",
"temperature $t$ follows a binomial law with parameters $n=6$ and\n",
"$p=p(t)$. To link $p(t)$ to $t$, we will therefore perform a\n",
"logistic regression."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table class=\"simpletable\">\n",
"<caption>Generalized Linear Model Regression Results</caption>\n",
"<tr>\n",
" <th>Dep. Variable:</th> <td>Frequency</td> <th> No. Observations: </th> <td> 7</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model:</th> <td>GLM</td> <th> Df Residuals: </th> <td> 5</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model Family:</th> <td>Binomial</td> <th> Df Model: </th> <td> 1</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Link Function:</th> <td>logit</td> <th> Scale: </th> <td> 1.0000</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Method:</th> <td>IRLS</td> <th> Log-Likelihood: </th> <td> -2.5250</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Date:</th> <td>Sat, 13 Apr 2019</td> <th> Deviance: </th> <td> 0.22231</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Time:</th> <td>19:12:05</td> <th> Pearson chi2: </th> <td> 0.236</td> \n",
"</tr>\n",
"<tr>\n",
" <th>No. Iterations:</th> <td>4</td> <th> Covariance Type: </th> <td>nonrobust</td>\n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <td></td> <th>coef</th> <th>std err</th> <th>z</th> <th>P>|z|</th> <th>[0.025</th> <th>0.975]</th> \n",
"</tr>\n",
"<tr>\n",
" <th>Intercept</th> <td> -1.3895</td> <td> 7.828</td> <td> -0.178</td> <td> 0.859</td> <td> -16.732</td> <td> 13.953</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Temperature</th> <td> 0.0014</td> <td> 0.122</td> <td> 0.012</td> <td> 0.991</td> <td> -0.238</td> <td> 0.240</td>\n",
"</tr>\n",
"</table>"
],
"text/plain": [
"<class 'statsmodels.iolib.summary.Summary'>\n",
"\"\"\"\n",
" Generalized Linear Model Regression Results \n",
"==============================================================================\n",
"Dep. Variable: Frequency No. Observations: 7\n",
"Model: GLM Df Residuals: 5\n",
"Model Family: Binomial Df Model: 1\n",
"Link Function: logit Scale: 1.0000\n",
"Method: IRLS Log-Likelihood: -2.5250\n",
"Date: Sat, 13 Apr 2019 Deviance: 0.22231\n",
"Time: 19:12:05 Pearson chi2: 0.236\n",
"No. Iterations: 4 Covariance Type: nonrobust\n",
"===============================================================================\n",
" coef std err z P>|z| [0.025 0.975]\n",
"-------------------------------------------------------------------------------\n",
"Intercept -1.3895 7.828 -0.178 0.859 -16.732 13.953\n",
"Temperature 0.0014 0.122 0.012 0.991 -0.238 0.240\n",
"===============================================================================\n",
"\"\"\""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import statsmodels.api as sm\n",
"\n",
"data[\"Success\"]=data.Count-data.Malfunction\n",
"data[\"Intercept\"]=1\n",
"\n",
"logmodel=sm.GLM(data['Frequency'], data[['Intercept','Temperature']], family=sm.families.Binomial(sm.families.links.logit)).fit()\n",
"\n",
"logmodel.summary()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The most likely estimator of the temperature parameter is 0.0014\n",
"and the standard error of this estimator is 0.122, in other words we\n",
"cannot distinguish any particular impact and we must take our\n",
"estimates with caution."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation of the probability of O-ring malfunction\n",
"\n",
"The expected temperature on the take-off day is 31°F. Let's try to\n",
"estimate the probability of O-ring malfunction at\n",
"this temperature from the model we just built:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"data_pred = pd.DataFrame({'Temperature': np.linspace(start=30, stop=90, num=121), 'Intercept': 1})\n",
"data_pred['Frequency'] = logmodel.predict(data_pred[['Intercept','Temperature']])\n",
"data_pred.plot(x=\"Temperature\",y=\"Frequency\",kind=\"line\",ylim=[0,1])\n",
"plt.scatter(x=data[\"Temperature\"],y=data[\"Frequency\"])\n",
"plt.grid(True)"
]
},
{
"cell_type": "markdown",
"metadata": {
"hideCode": false,
"hidePrompt": false,
"scrolled": true
},
"source": [
"As expected from the initial data, the\n",
"temperature has no significant impact on the probability of failure of the\n",
"O-rings. It will be about 0.2, as in the tests\n",
"where we had a failure of at least one joint. Let's get back\n",
"to the initial dataset to estimate the probability of failure:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.06521739130434782\n"
]
}
],
"source": [
"data = pd.read_csv(\"shuttle.csv\")\n",
"print(np.sum(data.Malfunction)/np.sum(data.Count))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This probability is thus about $p=0.065$. Knowing that there is\n",
"a primary and a secondary O-ring on each of the three parts of the\n",
"launcher, the probability of failure of both joints of a launcher\n",
"is $p^2 \\approx 0.00425$. The probability of failure of any one of the\n",
"launchers is $1-(1-p^2)^3 \\approx 1.2%$. That would really be\n",
"bad luck.... Everything is under control, so the takeoff can happen\n",
"tomorrow as planned.\n",
"\n",
"But the next day, the Challenger shuttle exploded and took away\n",
"with her the seven crew members. The public was shocked and in\n",
"the subsequent investigation, the reliability of the\n",
"O-rings was questioned. Beyond the internal communication problems\n",
"of NASA, which have a lot to do with this fiasco, the previous analysis\n",
"includes (at least) a small problem.... Can you find it?\n",
"You are free to modify this analysis and to look at this dataset\n",
"from all angles in order to to explain what's wrong."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Hide code",
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo5/exo5_fr.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Analyse du risque de défaillance des joints toriques de la navette Challenger"
author: "Arnaud Legrand"
date: "28 juin 2018"
output: html_document
---
Le 27 Janvier 1986, veille du décollage de la navette _Challenger_, eu
lieu une télé-conférence de trois heures entre les ingénieurs de la
Morton Thiokol (constructeur d'un des moteurs) et de la NASA. La
discussion portait principalement sur les conséquences de la
température prévue au moment du décollage de 31°F (juste en dessous de
0°C) sur le succès du vol et en particulier sur la performance des
joints toriques utilisés dans les moteurs. En effet, aucun test
n'avait été effectué à cette température.
L'étude qui suit reprend donc une partie des analyses effectuées cette
nuit là et dont l'objectif était d'évaluer l'influence potentielle de
la température et de la pression à laquelle sont soumis les joints
toriques sur leur probabilité de dysfonctionnement. Pour cela, nous
disposons des résultats des expériences réalisées par les ingénieurs
de la NASA durant les 6 années précédant le lancement de la navette
Challenger.
# Chargement des données
Nous commençons donc par charger ces données:
```{r}
data = read.csv("shuttle.csv",header=T)
data
```
Le jeu de données nous indique la date de l'essai, le nombre de joints
toriques mesurés (il y en a 6 sur le lançeur principal), la
température (en Farenheit) et la pression (en psi), et enfin le
nombre de dysfonctionnements relevés.
# Inspection graphique des données
Les vols où aucun incident n'est relevé n'apportant aucun information
sur l'influence de la température ou de la pression sur les
dysfonctionnements, nous nous concentrons sur les expériences où au
moins un joint a été défectueux.
```{r}
data = data[data$Malfunction>0,]
data
```
Très bien, nous avons une variabilité de température importante mais
la pression est quasiment toujours égale à 200, ce qui devrait
simplifier l'analyse.
Comment la fréquence d'échecs varie-t-elle avec la température ?
```{r}
plot(data=data, Malfunction/Count ~ Temperature, ylim=c(0,1))
```
À première vue, ce n'est pas flagrant mais bon, essayons quand même
d'estimer l'impact de la température $t$ sur la probabilité de
dysfonctionnements d'un joint.
# Estimation de l'influence de la température
Supposons que chacun des 6 joints toriques est endommagé avec la même
probabilité et indépendamment des autres et que cette probabilité ne
dépend que de la température. Si on note $p(t)$ cette probabilité, le
nombre de joints $D$ dysfonctionnant lorsque l'on effectue le vol à
température $t$ suit une loi binomiale de paramètre $n=6$ et
$p=p(t)$. Pour relier $p(t)$ à $t$, on va donc effectuer une
régression logistique.
```{r}
logistic_reg = glm(data=data, Malfunction/Count ~ Temperature, weights=Count,
family=binomial(link='logit'))
summary(logistic_reg)
```
L'estimateur le plus probable du paramètre de température est 0.001416
et l'erreur standard de cet estimateur est de 0.049, autrement dit on
ne peut pas distinguer d'impact particulier et il faut prendre nos
estimations avec des pincettes.
# Estimation de la probabilité de dysfonctionnant des joints toriques
La température prévue le jour du décollage est de 31°F. Essayons
d'estimer la probabilité de dysfonctionnement des joints toriques à
cette température à partir du modèle que nous venons de construire:
```{r}
# shuttle=shuttle[shuttle$r!=0,]
tempv = seq(from=30, to=90, by = .5)
rmv <- predict(logistic_reg,list(Temperature=tempv),type="response")
plot(tempv,rmv,type="l",ylim=c(0,1))
points(data=data, Malfunction/Count ~ Temperature)
```
Comme on pouvait s'attendre au vu des données initiales, la
température n'a pas d'impact notable sur la probabilité d'échec des
joints toriques. Elle sera d'environ 0.2, comme dans les essais
précédents où nous il y a eu défaillance d'au moins un joint. Revenons
à l'ensemble des données initiales pour estimer la probabilité de
défaillance d'un joint:
```{r}
data_full = read.csv("shuttle.csv",header=T)
sum(data_full$Malfunction)/sum(data_full$Count)
```
Cette probabilité est donc d'environ $p=0.065$, sachant qu'il existe
un joint primaire un joint secondaire sur chacune des trois parties du
lançeur, la probabilité de défaillance des deux joints d'un lançeur
est de $p^2 \approx 0.00425$. La probabilité de défaillance d'un des
lançeur est donc de $1-(1-p^2)^3 \approx 1.2%$. Ça serait vraiment
pas de chance... Tout est sous contrôle, le décollage peut donc avoir
lieu demain comme prévu.
Seulement, le lendemain, la navette Challenger explosera et emportera
avec elle ses sept membres d'équipages. L'opinion publique est
fortement touchée et lors de l'enquête qui suivra, la fiabilité des
joints toriques sera directement mise en cause. Au delà des problèmes
de communication interne à la NASA qui sont pour beaucoup dans ce
fiasco, l'analyse précédente comporte (au moins) un petit
problème... Saurez-vous le trouver ? Vous êtes libre de modifier cette
analyse et de regarder ce jeu de données sous tous les angles afin
d'expliquer ce qui ne va pas.
module2/exo5/exo5_fr.ipynb 0 → 100644
View file @ e8e42a72
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"# Analyse du risque de défaillance des joints toriques de la navette Challenger"
]
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{
"cell_type": "markdown",
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"source": [
"Le 27 Janvier 1986, veille du décollage de la navette *Challenger*, eu\n",
"lieu une télé-conférence de trois heures entre les ingénieurs de la\n",
"Morton Thiokol (constructeur d'un des moteurs) et de la NASA. La\n",
"discussion portait principalement sur les conséquences de la\n",
"température prévue au moment du décollage de 31°F (juste en dessous de\n",
"0°C) sur le succès du vol et en particulier sur la performance des\n",
"joints toriques utilisés dans les moteurs. En effet, aucun test\n",
"n'avait été effectué à cette température.\n",
"\n",
"L'étude qui suit reprend donc une partie des analyses effectuées cette\n",
"nuit là et dont l'objectif était d'évaluer l'influence potentielle de\n",
"la température et de la pression à laquelle sont soumis les joints\n",
"toriques sur leur probabilité de dysfonctionnement. Pour cela, nous\n",
"disposons des résultats des expériences réalisées par les ingénieurs\n",
"de la NASA durant les 6 années précédant le lancement de la navette\n",
"Challenger.\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Chargement des données\n",
"Nous commençons donc par charger ces données:"
]
},
{
"cell_type": "code",
"execution_count": 1,
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" Date Count Temperature Pressure Malfunction\n",
"0 4/12/81 6 66 50 0\n",
"1 11/12/81 6 70 50 1\n",
"2 3/22/82 6 69 50 0\n",
"3 11/11/82 6 68 50 0\n",
"4 4/04/83 6 67 50 0\n",
"5 6/18/82 6 72 50 0\n",
"6 8/30/83 6 73 100 0\n",
"7 11/28/83 6 70 100 0\n",
"8 2/03/84 6 57 200 1\n",
"9 4/06/84 6 63 200 1\n",
"10 8/30/84 6 70 200 1\n",
"11 10/05/84 6 78 200 0\n",
"12 11/08/84 6 67 200 0\n",
"13 1/24/85 6 53 200 2\n",
"14 4/12/85 6 67 200 0\n",
"15 4/29/85 6 75 200 0\n",
"16 6/17/85 6 70 200 0\n",
"17 7/29/85 6 81 200 0\n",
"18 8/27/85 6 76 200 0\n",
"19 10/03/85 6 79 200 0\n",
"20 10/30/85 6 75 200 2\n",
"21 11/26/85 6 76 200 0\n",
"22 1/12/86 6 58 200 1"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"data = pd.read_csv(\"shuttle.csv\")\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Le jeu de données nous indique la date de l'essai, le nombre de joints\n",
"toriques mesurés (il y en a 6 sur le lançeur principal), la\n",
"température (en Farenheit) et la pression (en psi), et enfin le\n",
"nombre de dysfonctionnements relevés. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Inspection graphique des données\n",
"Les vols où aucun incident n'est relevé n'apportant aucun information\n",
"sur l'influence de la température ou de la pression sur les\n",
"dysfonctionnements, nous nous concentrons sur les expériences où au\n",
"moins un joint a été défectueux.\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
" Date Count Temperature Pressure Malfunction\n",
"1 11/12/81 6 70 50 1\n",
"8 2/03/84 6 57 200 1\n",
"9 4/06/84 6 63 200 1\n",
"10 8/30/84 6 70 200 1\n",
"13 1/24/85 6 53 200 2\n",
"20 10/30/85 6 75 200 2\n",
"22 1/12/86 6 58 200 1"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = data[data.Malfunction>0]\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Très bien, nous avons une variabilité de température importante mais\n",
"la pression est quasiment toujours égale à 200, ce qui devrait\n",
"simplifier l'analyse.\n",
"\n",
"Comment la fréquence d'échecs varie-t-elle avec la température ?\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"pd.set_option('mode.chained_assignment',None) # this removes a useless warning from pandas\n",
"import matplotlib.pyplot as plt\n",
"\n",
"data[\"Frequency\"]=data.Malfunction/data.Count\n",
"data.plot(x=\"Temperature\",y=\"Frequency\",kind=\"scatter\",ylim=[0,1])\n",
"plt.grid(True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"À première vue, ce n'est pas flagrant mais bon, essayons quand même\n",
"d'estimer l'impact de la température $t$ sur la probabilité de\n",
"dysfonctionnements d'un joint. \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation de l'influence de la température\n",
"\n",
"Supposons que chacun des 6 joints toriques est endommagé avec la même\n",
"probabilité et indépendamment des autres et que cette probabilité ne\n",
"dépend que de la température. Si on note $p(t)$ cette probabilité, le\n",
"nombre de joints $D$ dysfonctionnant lorsque l'on effectue le vol à\n",
"température $t$ suit une loi binomiale de paramètre $n=6$ et\n",
"$p=p(t)$. Pour relier $p(t)$ à $t$, on va donc effectuer une\n",
"régression logistique."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table class=\"simpletable\">\n",
"<caption>Generalized Linear Model Regression Results</caption>\n",
"<tr>\n",
" <th>Dep. Variable:</th> <td>Frequency</td> <th> No. Observations: </th> <td> 7</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model:</th> <td>GLM</td> <th> Df Residuals: </th> <td> 5</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model Family:</th> <td>Binomial</td> <th> Df Model: </th> <td> 1</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Link Function:</th> <td>logit</td> <th> Scale: </th> <td> 1.0000</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Method:</th> <td>IRLS</td> <th> Log-Likelihood: </th> <td> -2.5250</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Date:</th> <td>Sat, 13 Apr 2019</td> <th> Deviance: </th> <td> 0.22231</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Time:</th> <td>19:11:24</td> <th> Pearson chi2: </th> <td> 0.236</td> \n",
"</tr>\n",
"<tr>\n",
" <th>No. Iterations:</th> <td>4</td> <th> Covariance Type: </th> <td>nonrobust</td>\n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <td></td> <th>coef</th> <th>std err</th> <th>z</th> <th>P>|z|</th> <th>[0.025</th> <th>0.975]</th> \n",
"</tr>\n",
"<tr>\n",
" <th>Intercept</th> <td> -1.3895</td> <td> 7.828</td> <td> -0.178</td> <td> 0.859</td> <td> -16.732</td> <td> 13.953</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Temperature</th> <td> 0.0014</td> <td> 0.122</td> <td> 0.012</td> <td> 0.991</td> <td> -0.238</td> <td> 0.240</td>\n",
"</tr>\n",
"</table>"
],
"text/plain": [
"<class 'statsmodels.iolib.summary.Summary'>\n",
"\"\"\"\n",
" Generalized Linear Model Regression Results \n",
"==============================================================================\n",
"Dep. Variable: Frequency No. Observations: 7\n",
"Model: GLM Df Residuals: 5\n",
"Model Family: Binomial Df Model: 1\n",
"Link Function: logit Scale: 1.0000\n",
"Method: IRLS Log-Likelihood: -2.5250\n",
"Date: Sat, 13 Apr 2019 Deviance: 0.22231\n",
"Time: 19:11:24 Pearson chi2: 0.236\n",
"No. Iterations: 4 Covariance Type: nonrobust\n",
"===============================================================================\n",
" coef std err z P>|z| [0.025 0.975]\n",
"-------------------------------------------------------------------------------\n",
"Intercept -1.3895 7.828 -0.178 0.859 -16.732 13.953\n",
"Temperature 0.0014 0.122 0.012 0.991 -0.238 0.240\n",
"===============================================================================\n",
"\"\"\""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import statsmodels.api as sm\n",
"\n",
"data[\"Success\"]=data.Count-data.Malfunction\n",
"data[\"Intercept\"]=1\n",
"\n",
"logmodel=sm.GLM(data['Frequency'], data[['Intercept','Temperature']], family=sm.families.Binomial(sm.families.links.logit)).fit()\n",
"\n",
"logmodel.summary()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"L'estimateur le plus probable du paramètre de température est 0.0014\n",
"et l'erreur standard de cet estimateur est de 0.122, autrement dit on\n",
"ne peut pas distinguer d'impact particulier et il faut prendre nos\n",
"estimations avec des pincettes.\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation de la probabilité de dysfonctionnant des joints toriques\n",
"La température prévue le jour du décollage est de 31°F. Essayons\n",
"d'estimer la probabilité de dysfonctionnement des joints toriques à\n",
"cette température à partir du modèle que nous venons de construire:\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"data_pred = pd.DataFrame({'Temperature': np.linspace(start=30, stop=90, num=121), 'Intercept': 1})\n",
"data_pred['Frequency'] = logmodel.predict(data_pred[['Intercept','Temperature']])\n",
"data_pred.plot(x=\"Temperature\",y=\"Frequency\",kind=\"line\",ylim=[0,1])\n",
"plt.scatter(x=data[\"Temperature\"],y=data[\"Frequency\"])\n",
"plt.grid(True)"
]
},
{
"cell_type": "markdown",
"metadata": {
"hideCode": false,
"hidePrompt": false,
"scrolled": true
},
"source": [
"Comme on pouvait s'attendre au vu des données initiales, la\n",
"température n'a pas d'impact notable sur la probabilité d'échec des\n",
"joints toriques. Elle sera d'environ 0.2, comme dans les essais\n",
"précédents où nous il y a eu défaillance d'au moins un joint. Revenons\n",
"à l'ensemble des données initiales pour estimer la probabilité de\n",
"défaillance d'un joint:\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.06521739130434782\n"
]
}
],
"source": [
"data = pd.read_csv(\"shuttle.csv\")\n",
"print(np.sum(data.Malfunction)/np.sum(data.Count))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Cette probabilité est donc d'environ $p=0.065$, sachant qu'il existe\n",
"un joint primaire un joint secondaire sur chacune des trois parties du\n",
"lançeur, la probabilité de défaillance des deux joints d'un lançeur\n",
"est de $p^2 \\approx 0.00425$. La probabilité de défaillance d'un des\n",
"lançeur est donc de $1-(1-p^2)^3 \\approx 1.2%$. Ça serait vraiment\n",
"pas de chance... Tout est sous contrôle, le décollage peut donc avoir\n",
"lieu demain comme prévu.\n",
"\n",
"Seulement, le lendemain, la navette Challenger explosera et emportera\n",
"avec elle ses sept membres d'équipages. L'opinion publique est\n",
"fortement touchée et lors de l'enquête qui suivra, la fiabilité des\n",
"joints toriques sera directement mise en cause. Au delà des problèmes\n",
"de communication interne à la NASA qui sont pour beaucoup dans ce\n",
"fiasco, l'analyse précédente comporte (au moins) un petit\n",
"problème... Saurez-vous le trouver ? Vous êtes libre de modifier cette\n",
"analyse et de regarder ce jeu de données sous tous les angles afin\n",
"d'expliquer ce qui ne va pas."
]
}
],
"metadata": {
"celltoolbar": "Hide code",
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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module2/exo5/exo5_python_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Analysis of the risk of failure of the O-rings on the Challenger shuttle
#+AUTHOR: Arnaud Legrand
#+LANGUAGE: en
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
#+LATEX_HEADER: \usepackage{a4}
#+LATEX_HEADER: \usepackage[french]{babel}
# #+PROPERTY: header-args :session :exports both
On January 27, 1986, the day before the takeoff of the shuttle /Challenger/, had
a three-hour teleconference was held between
Morton Thiokol (the manufacturer of one of the engines) and NASA. The
discussion focused on the consequences of the
temperature at take-off of 31°F (just below
0°C) for the success of the flight and in particular on the performance of the
O-rings used in the engines. Indeed, no test
had been performed at this temperature.
The following study takes up some of the analyses carried out that
night with the objective of assessing the potential influence of
the temperature and pressure to which the O-rings are subjected
on their probability of malfunction. Our starting point is
the results of the experiments carried out by NASA engineers
during the six years preceding the launch of the shuttle
Challenger.
* Loading the data
We start by loading this data:
#+begin_src python :results value :session *python* :exports both
import numpy as np
import pandas as pd
data = pd.read_csv("shuttle.csv")
data
#+end_src
#+RESULTS:
#+begin_example
Date Count Temperature Pressure Malfunction
0 4/12/81 6 66 50 0
1 11/12/81 6 70 50 1
2 3/22/82 6 69 50 0
3 11/11/82 6 68 50 0
4 4/04/83 6 67 50 0
5 6/18/82 6 72 50 0
6 8/30/83 6 73 100 0
7 11/28/83 6 70 100 0
8 2/03/84 6 57 200 1
9 4/06/84 6 63 200 1
10 8/30/84 6 70 200 1
11 10/05/84 6 78 200 0
12 11/08/84 6 67 200 0
13 1/24/85 6 53 200 2
14 4/12/85 6 67 200 0
15 4/29/85 6 75 200 0
16 6/17/85 6 70 200 0
17 7/29/85 6 81 200 0
18 8/27/85 6 76 200 0
19 10/03/85 6 79 200 0
20 10/30/85 6 75 200 2
21 11/26/85 6 76 200 0
22 1/12/86 6 58 200 1
#+end_example
The data set shows us the date of each test, the number of O-rings
(there are 6 on the main launcher), the
temperature (in Fahrenheit) and pressure (in psi), and finally the
number of identified malfunctions.
* Graphical inspection
Flights without incidents do not provide any information
on the influence of temperature or pressure on malfunction.
We thus focus on the experiments in which at least one O-ring was defective.
#+begin_src python :results value :session *python* :exports both
data = data[data.Malfunction>0]
data
#+end_src
#+RESULTS:
: Date Count Temperature Pressure Malfunction
: 1 11/12/81 6 70 50 1
: 8 2/03/84 6 57 200 1
: 9 4/06/84 6 63 200 1
: 10 8/30/84 6 70 200 1
: 13 1/24/85 6 53 200 2
: 20 10/30/85 6 75 200 2
: 22 1/12/86 6 58 200 1
We have a high temperature variability but
the pressure is almost always 200, which should
simplify the analysis.
How does the frequency of failure vary with temperature?
#+begin_src python :results output file :var matplot_lib_filename="freq_temp_python.png" :exports both :session *python*
import matplotlib.pyplot as plt
plt.clf()
data["Frequency"]=data.Malfunction/data.Count
data.plot(x="Temperature",y="Frequency",kind="scatter",ylim=[0,1])
plt.grid(True)
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:freq_temp_python.png]]
At first glance, the dependence does not look very important, but let's try to
estimate the impact of temperature $t$ on the probability of O-ring malfunction.
* Estimation of the temperature influence
Suppose that each of the six O-rings is damaged with the same
probability and independently of the others and that this probability
depends only on the temperature. If $p(t)$ is this probability, the
number $D$ of malfunctioning O-rings during a flight at
temperature $t$ follows a binomial law with parameters $n=6$ and
$p=p(t)$. To link $p(t)$ to $t$, we will therefore perform a
logistic regression.
#+begin_src python :results value :session *python* :exports both
import statsmodels.api as sm
data["Success"]=data.Count-data.Malfunction
data["Intercept"]=1
# logit_model=sm.Logit(data["Frequency"],data[["Intercept","Temperature"]]).fit()
logmodel=sm.GLM(data['Frequency'], data[['Intercept','Temperature']], family=sm.families.Binomial(sm.families.links.logit)).fit()
logmodel.summary()
#+end_src
#+RESULTS:
#+begin_example
Generalized Linear Model Regression Results
==============================================================================
Dep. Variable: Frequency No. Observations: 7
Model: GLM Df Residuals: 5
Model Family: Binomial Df Model: 1
Link Function: logit Scale: 1.0
Method: IRLS Log-Likelihood: -3.6370
Date: Fri, 20 Jul 2018 Deviance: 3.3763
Time: 16:56:08 Pearson chi2: 0.236
No. Iterations: 5
===============================================================================
coef std err z P>|z| [0.025 0.975]
-------------------------------------------------------------------------------
Intercept -1.3895 7.828 -0.178 0.859 -16.732 13.953
Temperature 0.0014 0.122 0.012 0.991 -0.238 0.240
===============================================================================
#+end_example
The most likely estimator of the temperature parameter is 0.0014
and the standard error of this estimator is 0.122, in other words we
cannot distinguish any particular impact and we must take our
estimates with caution.
* Estimation of the probability of O-ring malfunction
The expected temperature on the take-off day is 31°F. Let's try to
estimate the probability of O-ring malfunction at
this temperature from the model we just built:
#+begin_src python :results output file :var matplot_lib_filename="proba_estimate_python.png" :exports both :session *python*
import matplotlib.pyplot as plt
data_pred = pd.DataFrame({'Temperature': np.linspace(start=30, stop=90, num=121), 'Intercept': 1})
data_pred['Frequency'] = logmodel.predict(data_pred[['Intercept','Temperature']])
data_pred.plot(x="Temperature",y="Frequency",kind="line",ylim=[0,1])
plt.scatter(x=data["Temperature"],y=data["Frequency"])
plt.grid(True)
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:proba_estimate_python.png]]
As expected from the initial data, the
temperature has no significant impact on the probability of failure of the
O-rings. It will be about 0.2, as in the tests
where we had a failure of at least one joint. Let's get back to the initial dataset to estimate the probability of failure:
#+begin_src python :results output :session *python* :exports both
data = pd.read_csv("shuttle.csv")
print(np.sum(data.Malfunction)/np.sum(data.Count))
#+end_src
#+RESULTS:
: 0.06521739130434782
This probability is thus about $p=0.065$. Knowing that there is
a primary and a secondary O-ring on each of the three parts of the
launcher, the probability of failure of both joints of a launcher
is $p^2 \approx 0.00425$. The probability of failure of any one of the
launchers is $1-(1-p^2)^3 \approx 1.2%$. That would really be
bad luck.... Everything is under control, so the takeoff can happen
tomorrow as planned.
But the next day, the Challenger shuttle exploded and took away
with her the seven crew members. The public was shocked and in
the subsequent investigation, the reliability of the
O-rings was questioned. Beyond the internal communication problems
of NASA, which have a lot to do with this fiasco, the previous analysis
includes (at least) a small problem.... Can you find it?
You are free to modify this analysis and to look at this dataset
from all angles in order to to explain what's wrong.
module2/exo5/exo5_python_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Analyse du risque de défaillance des joints toriques de la navette Challenger
#+AUTHOR: Arnaud Legrand
#+LANGUAGE: fr
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
#+LATEX_HEADER: \usepackage{a4}
#+LATEX_HEADER: \usepackage[french]{babel}
# #+PROPERTY: header-args :session :exports both
Le 27 Janvier 1986, veille du décollage de la navette /Challenger/, eu
lieu une télé-conférence de trois heures entre les ingénieurs de la
Morton Thiokol (constructeur d'un des moteurs) et de la NASA. La
discussion portait principalement sur les conséquences de la
température prévue au moment du décollage de 31°F (juste en dessous de
0°C) sur le succès du vol et en particulier sur la performance des
joints toriques utilisés dans les moteurs. En effet, aucun test
n'avait été effectué à cette température.
L'étude qui suit reprend donc une partie des analyses effectuées cette
nuit là et dont l'objectif était d'évaluer l'influence potentielle de
la température et de la pression à laquelle sont soumis les joints
toriques sur leur probabilité de dysfonctionnement. Pour cela, nous
disposons des résultats des expériences réalisées par les ingénieurs
de la NASA durant les 6 années précédant le lancement de la navette
Challenger.
* Chargement des données
Nous commençons donc par charger ces données:
#+begin_src python :results value :session *python* :exports both
import numpy as np
import pandas as pd
data = pd.read_csv("shuttle.csv")
data
#+end_src
#+RESULTS:
#+begin_example
Date Count Temperature Pressure Malfunction
0 4/12/81 6 66 50 0
1 11/12/81 6 70 50 1
2 3/22/82 6 69 50 0
3 11/11/82 6 68 50 0
4 4/04/83 6 67 50 0
5 6/18/82 6 72 50 0
6 8/30/83 6 73 100 0
7 11/28/83 6 70 100 0
8 2/03/84 6 57 200 1
9 4/06/84 6 63 200 1
10 8/30/84 6 70 200 1
11 10/05/84 6 78 200 0
12 11/08/84 6 67 200 0
13 1/24/85 6 53 200 2
14 4/12/85 6 67 200 0
15 4/29/85 6 75 200 0
16 6/17/85 6 70 200 0
17 7/29/85 6 81 200 0
18 8/27/85 6 76 200 0
19 10/03/85 6 79 200 0
20 10/30/85 6 75 200 2
21 11/26/85 6 76 200 0
22 1/12/86 6 58 200 1
#+end_example
Le jeu de données nous indique la date de l'essai, le nombre de joints
toriques mesurés (il y en a 6 sur le lançeur principal), la
température (en Fahrenheit) et la pression (en psi), et enfin le
nombre de dysfonctionnements relevés.
* Inspection graphique des données
Les vols où aucun incident n'est relevé n'apportant aucune information
sur l'influence de la température ou de la pression sur les
dysfonctionnements, nous nous concentrons sur les expériences où au
moins un joint a été défectueux.
#+begin_src python :results value :session *python* :exports both
data = data[data.Malfunction>0]
data
#+end_src
#+RESULTS:
: Date Count Temperature Pressure Malfunction
: 1 11/12/81 6 70 50 1
: 8 2/03/84 6 57 200 1
: 9 4/06/84 6 63 200 1
: 10 8/30/84 6 70 200 1
: 13 1/24/85 6 53 200 2
: 20 10/30/85 6 75 200 2
: 22 1/12/86 6 58 200 1
Très bien, nous avons une variabilité de température importante mais
la pression est quasiment toujours égale à 200, ce qui devrait
simplifier l'analyse.
Comment la fréquence d'échecs varie-t-elle avec la température ?
#+begin_src python :results output file :var matplot_lib_filename="freq_temp_python.png" :exports both :session *python*
import matplotlib.pyplot as plt
plt.clf()
data["Frequency"]=data.Malfunction/data.Count
data.plot(x="Temperature",y="Frequency",kind="scatter",ylim=[0,1])
plt.grid(True)
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:freq_temp_python.png]]
À première vue, ce n'est pas flagrant mais bon, essayons quand même
d'estimer l'impact de la température $t$ sur la probabilité de
dysfonctionnements d'un joint.
* Estimation de l'influence de la température
Supposons que chacun des 6 joints toriques est endommagé avec la même
probabilité et indépendamment des autres et que cette probabilité ne
dépend que de la température. Si on note $p(t)$ cette probabilité, le
nombre de joints $D$ dysfonctionnant lorsque l'on effectue le vol à
température $t$ suit une loi binomiale de paramètre $n=6$ et
$p=p(t)$. Pour relier $p(t)$ à $t$, on va donc effectuer une
régression logistique.
#+begin_src python :results value :session *python* :exports both
import statsmodels.api as sm
data["Success"]=data.Count-data.Malfunction
data["Intercept"]=1
# logit_model=sm.Logit(data["Frequency"],data[["Intercept","Temperature"]]).fit()
logmodel=sm.GLM(data['Frequency'], data[['Intercept','Temperature']], family=sm.families.Binomial(sm.families.links.logit)).fit()
logmodel.summary()
#+end_src
#+RESULTS:
#+begin_example
Generalized Linear Model Regression Results
==============================================================================
Dep. Variable: Frequency No. Observations: 7
Model: GLM Df Residuals: 5
Model Family: Binomial Df Model: 1
Link Function: logit Scale: 1.0
Method: IRLS Log-Likelihood: -3.6370
Date: Fri, 20 Jul 2018 Deviance: 3.3763
Time: 16:56:08 Pearson chi2: 0.236
No. Iterations: 5
===============================================================================
coef std err z P>|z| [0.025 0.975]
-------------------------------------------------------------------------------
Intercept -1.3895 7.828 -0.178 0.859 -16.732 13.953
Temperature 0.0014 0.122 0.012 0.991 -0.238 0.240
===============================================================================
#+end_example
L'estimateur le plus probable du paramètre de température est 0.0014
et l'erreur standard de cet estimateur est de 0.122, autrement dit on
ne peut pas distinguer d'impact particulier et il faut prendre nos
estimations avec des pincettes.
* Estimation de la probabilité de dysfonctionnant des joints toriques
La température prévue le jour du décollage est de 31°F. Essayons
d'estimer la probabilité de dysfonctionnement des joints toriques à
cette température à partir du modèle que nous venons de construire:
#+begin_src python :results output file :var matplot_lib_filename="proba_estimate_python.png" :exports both :session *python*
import matplotlib.pyplot as plt
data_pred = pd.DataFrame({'Temperature': np.linspace(start=30, stop=90, num=121), 'Intercept': 1})
data_pred['Frequency'] = logmodel.predict(data_pred[['Intercept','Temperature']])
data_pred.plot(x="Temperature",y="Frequency",kind="line",ylim=[0,1])
plt.scatter(x=data["Temperature"],y=data["Frequency"])
plt.grid(True)
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:proba_estimate_python.png]]
Comme on pouvait s'attendre au vu des données initiales, la
température n'a pas d'impact notable sur la probabilité d'échec des
joints toriques. Elle sera d'environ 0.2, comme dans les essais
précédents où nous il y a eu défaillance d'au moins un joint. Revenons
à l'ensemble des données initiales pour estimer la probabilité de
défaillance d'un joint:
#+begin_src python :results output :session *python* :exports both
data = pd.read_csv("shuttle.csv")
print(np.sum(data.Malfunction)/np.sum(data.Count))
#+end_src
#+RESULTS:
: 0.06521739130434782
Cette probabilité est donc d'environ $p=0.065$, sachant qu'il existe
un joint primaire un joint secondaire sur chacune des trois parties du
lançeur, la probabilité de défaillance des deux joints d'un lançeur
est de $p^2 \approx 0.00425$. La probabilité de défaillance d'un des
lançeur est donc de $1-(1-p^2)^3 \approx 1.2%$. Ça serait vraiment
pas de chance... Tout est sous contrôle, le décollage peut donc avoir
lieu demain comme prévu.
Seulement, le lendemain, la navette Challenger explosera et emportera
avec elle ses sept membres d'équipages. L'opinion publique est
fortement touchée et lors de l'enquête qui suivra, la fiabilité des
joints toriques sera directement mise en cause. Au delà des problèmes
de communication interne à la NASA qui sont pour beaucoup dans ce
fiasco, l'analyse précédente comporte (au moins) un petit
problème... Saurez-vous le trouver ? Vous êtes libre de modifier cette
analyse et de regarder ce jeu de données sous tous les angles afin
d'expliquer ce qui ne va pas.
module2/exo5/exo_en.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Analysis of the risk of failure of the O-rings on the Challenger shuttle"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"On January 27, 1986, the day before the takeoff of the shuttle _Challenger_, had\n",
"a three-hour teleconference was held between \n",
"Morton Thiokol (the manufacturer of one of the engines) and NASA. The\n",
"discussion focused on the consequences of the\n",
"temperature at take-off of 31°F (just below\n",
"0°C) for the success of the flight and in particular on the performance of the\n",
"O-rings used in the engines. Indeed, no test\n",
"had been performed at this temperature.\n",
"\n",
"The following study takes up some of the analyses carried out that\n",
"night with the objective of assessing the potential influence of\n",
"the temperature and pressure to which the O-rings are subjected\n",
"on their probability of malfunction. Our starting point is \n",
"the results of the experiments carried out by NASA engineers\n",
"during the six years preceding the launch of the shuttle\n",
"Challenger."
]
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"## Loading the data\n",
"We start by loading this data:"
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"metadata": {},
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" <td>6/17/85</td>\n",
" <td>6</td>\n",
" <td>70</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>7/29/85</td>\n",
" <td>6</td>\n",
" <td>81</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>8/27/85</td>\n",
" <td>6</td>\n",
" <td>76</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>10/03/85</td>\n",
" <td>6</td>\n",
" <td>79</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>10/30/85</td>\n",
" <td>6</td>\n",
" <td>75</td>\n",
" <td>200</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>11/26/85</td>\n",
" <td>6</td>\n",
" <td>76</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>1/12/86</td>\n",
" <td>6</td>\n",
" <td>58</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Date Count Temperature Pressure Malfunction\n",
"0 4/12/81 6 66 50 0\n",
"1 11/12/81 6 70 50 1\n",
"2 3/22/82 6 69 50 0\n",
"3 11/11/82 6 68 50 0\n",
"4 4/04/83 6 67 50 0\n",
"5 6/18/82 6 72 50 0\n",
"6 8/30/83 6 73 100 0\n",
"7 11/28/83 6 70 100 0\n",
"8 2/03/84 6 57 200 1\n",
"9 4/06/84 6 63 200 1\n",
"10 8/30/84 6 70 200 1\n",
"11 10/05/84 6 78 200 0\n",
"12 11/08/84 6 67 200 0\n",
"13 1/24/85 6 53 200 2\n",
"14 4/12/85 6 67 200 0\n",
"15 4/29/85 6 75 200 0\n",
"16 6/17/85 6 70 200 0\n",
"17 7/29/85 6 81 200 0\n",
"18 8/27/85 6 76 200 0\n",
"19 10/03/85 6 79 200 0\n",
"20 10/30/85 6 75 200 2\n",
"21 11/26/85 6 76 200 0\n",
"22 1/12/86 6 58 200 1"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"data = pd.read_csv(\"shuttle.csv\")\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The data set shows us the date of each test, the number of O-rings (there are 6 on the main launcher), the temperature (in Fahrenheit) and pressure (in psi), and finally the number of identified malfunctions."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Graphical inspection\n",
"Flights without incidents do not provide any information\n",
"on the influence of temperature or pressure on malfunction.\n",
"We thus focus on the experiments in which at least one O-ring\n",
"was defective."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Date</th>\n",
" <th>Count</th>\n",
" <th>Temperature</th>\n",
" <th>Pressure</th>\n",
" <th>Malfunction</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>11/12/81</td>\n",
" <td>6</td>\n",
" <td>70</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2/03/84</td>\n",
" <td>6</td>\n",
" <td>57</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>4/06/84</td>\n",
" <td>6</td>\n",
" <td>63</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>8/30/84</td>\n",
" <td>6</td>\n",
" <td>70</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>1/24/85</td>\n",
" <td>6</td>\n",
" <td>53</td>\n",
" <td>200</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>10/30/85</td>\n",
" <td>6</td>\n",
" <td>75</td>\n",
" <td>200</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>1/12/86</td>\n",
" <td>6</td>\n",
" <td>58</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Date Count Temperature Pressure Malfunction\n",
"1 11/12/81 6 70 50 1\n",
"8 2/03/84 6 57 200 1\n",
"9 4/06/84 6 63 200 1\n",
"10 8/30/84 6 70 200 1\n",
"13 1/24/85 6 53 200 2\n",
"20 10/30/85 6 75 200 2\n",
"22 1/12/86 6 58 200 1"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data = data[data.Malfunction>0]\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We have a high temperature variability but\n",
"the pressure is almost always 200, which should\n",
"simplify the analysis.\n",
"\n",
"How does the frequency of failure vary with temperature?"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"pd.set_option('mode.chained_assignment',None) # this removes a useless warning from pandas\n",
"import matplotlib.pyplot as plt\n",
"\n",
"data[\"Frequency\"]=data.Malfunction/data.Count\n",
"data.plot(x=\"Temperature\",y=\"Frequency\",kind=\"scatter\",ylim=[0,1])\n",
"plt.grid(True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At first glance, the dependence does not look very important, but let's try to\n",
"estimate the impact of temperature $t$ on the probability of O-ring malfunction."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation of the temperature influence\n",
"\n",
"Suppose that each of the six O-rings is damaged with the same\n",
"probability and independently of the others and that this probability\n",
"depends only on the temperature. If $p(t)$ is this probability, the\n",
"number $D$ of malfunctioning O-rings during a flight at\n",
"temperature $t$ follows a binomial law with parameters $n=6$ and\n",
"$p=p(t)$. To link $p(t)$ to $t$, we will therefore perform a\n",
"logistic regression."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table class=\"simpletable\">\n",
"<caption>Generalized Linear Model Regression Results</caption>\n",
"<tr>\n",
" <th>Dep. Variable:</th> <td>Frequency</td> <th> No. Observations: </th> <td> 7</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model:</th> <td>GLM</td> <th> Df Residuals: </th> <td> 5</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model Family:</th> <td>Binomial</td> <th> Df Model: </th> <td> 1</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Link Function:</th> <td>logit</td> <th> Scale: </th> <td> 1.0000</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Method:</th> <td>IRLS</td> <th> Log-Likelihood: </th> <td> -2.5250</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Date:</th> <td>Sat, 13 Apr 2019</td> <th> Deviance: </th> <td> 0.22231</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Time:</th> <td>19:12:05</td> <th> Pearson chi2: </th> <td> 0.236</td> \n",
"</tr>\n",
"<tr>\n",
" <th>No. Iterations:</th> <td>4</td> <th> Covariance Type: </th> <td>nonrobust</td>\n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <td></td> <th>coef</th> <th>std err</th> <th>z</th> <th>P>|z|</th> <th>[0.025</th> <th>0.975]</th> \n",
"</tr>\n",
"<tr>\n",
" <th>Intercept</th> <td> -1.3895</td> <td> 7.828</td> <td> -0.178</td> <td> 0.859</td> <td> -16.732</td> <td> 13.953</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Temperature</th> <td> 0.0014</td> <td> 0.122</td> <td> 0.012</td> <td> 0.991</td> <td> -0.238</td> <td> 0.240</td>\n",
"</tr>\n",
"</table>"
],
"text/plain": [
"<class 'statsmodels.iolib.summary.Summary'>\n",
"\"\"\"\n",
" Generalized Linear Model Regression Results \n",
"==============================================================================\n",
"Dep. Variable: Frequency No. Observations: 7\n",
"Model: GLM Df Residuals: 5\n",
"Model Family: Binomial Df Model: 1\n",
"Link Function: logit Scale: 1.0000\n",
"Method: IRLS Log-Likelihood: -2.5250\n",
"Date: Sat, 13 Apr 2019 Deviance: 0.22231\n",
"Time: 19:12:05 Pearson chi2: 0.236\n",
"No. Iterations: 4 Covariance Type: nonrobust\n",
"===============================================================================\n",
" coef std err z P>|z| [0.025 0.975]\n",
"-------------------------------------------------------------------------------\n",
"Intercept -1.3895 7.828 -0.178 0.859 -16.732 13.953\n",
"Temperature 0.0014 0.122 0.012 0.991 -0.238 0.240\n",
"===============================================================================\n",
"\"\"\""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import statsmodels.api as sm\n",
"\n",
"data[\"Success\"]=data.Count-data.Malfunction\n",
"data[\"Intercept\"]=1\n",
"\n",
"logmodel=sm.GLM(data['Frequency'], data[['Intercept','Temperature']], family=sm.families.Binomial(sm.families.links.logit)).fit()\n",
"\n",
"logmodel.summary()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The most likely estimator of the temperature parameter is 0.0014\n",
"and the standard error of this estimator is 0.122, in other words we\n",
"cannot distinguish any particular impact and we must take our\n",
"estimates with caution."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Estimation of the probability of O-ring malfunction\n",
"\n",
"The expected temperature on the take-off day is 31°F. Let's try to\n",
"estimate the probability of O-ring malfunction at\n",
"this temperature from the model we just built:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"data_pred = pd.DataFrame({'Temperature': np.linspace(start=30, stop=90, num=121), 'Intercept': 1})\n",
"data_pred['Frequency'] = logmodel.predict(data_pred[['Intercept','Temperature']])\n",
"data_pred.plot(x=\"Temperature\",y=\"Frequency\",kind=\"line\",ylim=[0,1])\n",
"plt.scatter(x=data[\"Temperature\"],y=data[\"Frequency\"])\n",
"plt.grid(True)"
]
},
{
"cell_type": "markdown",
"metadata": {
"hideCode": false,
"hidePrompt": false,
"scrolled": true
},
"source": [
"As expected from the initial data, the\n",
"temperature has no significant impact on the probability of failure of the\n",
"O-rings. It will be about 0.2, as in the tests\n",
"where we had a failure of at least one joint. Let's get back\n",
"to the initial dataset to estimate the probability of failure:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.06521739130434782\n"
]
}
],
"source": [
"data = pd.read_csv(\"shuttle.csv\")\n",
"print(np.sum(data.Malfunction)/np.sum(data.Count))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This probability is thus about $p=0.065$. Knowing that there is\n",
"a primary and a secondary O-ring on each of the three parts of the\n",
"launcher, the probability of failure of both joints of a launcher\n",
"is $p^2 \\approx 0.00425$. The probability of failure of any one of the\n",
"launchers is $1-(1-p^2)^3 \\approx 1.2%$. That would really be\n",
"bad luck.... Everything is under control, so the takeoff can happen\n",
"tomorrow as planned.\n",
"\n",
"But the next day, the Challenger shuttle exploded and took away\n",
"with her the seven crew members. The public was shocked and in\n",
"the subsequent investigation, the reliability of the\n",
"O-rings was questioned. Beyond the internal communication problems\n",
"of NASA, which have a lot to do with this fiasco, the previous analysis\n",
"includes (at least) a small problem.... Can you find it?\n",
"You are free to modify this analysis and to look at this dataset\n",
"from all angles in order to to explain what's wrong."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Hide code",
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module2/exo5/shuttle.csv 0 → 100644
View file @ e8e42a72
Date,Count,Temperature,Pressure,Malfunction
4/12/81,6,66,50,0
11/12/81,6,70,50,1
3/22/82,6,69,50,0
11/11/82,6,68,50,0
4/04/83,6,67,50,0
6/18/82,6,72,50,0
8/30/83,6,73,100,0
11/28/83,6,70,100,0
2/03/84,6,57,200,1
4/06/84,6,63,200,1
8/30/84,6,70,200,1
10/05/84,6,78,200,0
11/08/84,6,67,200,0
1/24/85,6,53,200,2
4/12/85,6,67,200,0
4/29/85,6,75,200,0
6/17/85,6,70,200,0
7/29/85,6,81,200,0
8/27/85,6,76,200,0
10/03/85,6,79,200,0
10/30/85,6,75,200,2
11/26/85,6,76,200,0
1/12/86,6,58,200,1
module2/exo5/shuttle_modif.csv 0 → 100644
View file @ e8e42a72
Date,Count,Temperature,Pressure,Malfunction
4/12/81,6,66,50,0
11/12/81,6,70,50,1
3/22/82,6,69,50,0
11/11/82,6,68,50,0
4/04/83,6,67,50,0
6/18/82,6,72,50,0
8/30/83,6,73,100,0
11/28/83,6,70,100,0
2/03/84,6,57,200,1
4/06/84,6,63,200,1
8/30/84,6,70,200,1
10/05/84,6,78,200,0
11/08/84,6,67,200,0
1/24/85,6,53,200,2
4/12/85,6,67,200,0
4/29/85,6,75,200,0
6/17/85,6,70,200,0
7/29/85,6,81,200,0
8/27/85,6,76,200,0
10/03/85,6,79,200,0
10/30/85,6,75,200,2
11/26/85,6,76,200,0
1/12/86,6,58,200,1
\ No newline at end of file
module3/.ipynb_checkpoints/analyse-syndrome-grippal-checkpoint.ipynb 0 → 100644
View file @ e8e42a72
This source diff could not be displayed because it is too large. You can view the blob instead.
module3/.ipynb_checkpoints/analyse-syndrome-varicelle-checkpoint.ipynb 0 → 100644
View file @ e8e42a72
This source diff could not be displayed because it is too large. You can view the blob instead.
module3/analyse-syndrome-grippal.ipynb 0 → 100644
View file @ e8e42a72
This source diff could not be displayed because it is too large. You can view the blob instead.
module3/analyse-syndrome-varicelle.ipynb 0 → 100644
View file @ e8e42a72
This source diff could not be displayed because it is too large. You can view the blob instead.
module3/data.csv 0 → 100644
View file @ e8e42a72
# @source="r�seau Sentinelles, INSERM, Sorbonne Universit�, http://www.sentiweb.fr", @meta={"period":[198444,202221],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2022-06-04T12:28:03+02:00
week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
202221,3,17538,12255,22821,26,18,34,FR,France
202220,3,20413,16271,24555,31,25,37,FR,France
202219,3,17874,14068,21680,27,21,33,FR,France
202218,3,30353,25089,35617,46,38,54,FR,France
202217,3,36006,30373,41639,54,46,62,FR,France
202216,3,49949,42836,57062,75,64,86,FR,France
202215,3,100806,90824,110788,152,137,167,FR,France
202214,3,155441,143891,166991,234,217,251,FR,France
202213,3,191914,179558,204270,289,270,308,FR,France
202212,3,166224,155035,177413,251,234,268,FR,France
202211,3,122849,113306,132392,185,171,199,FR,France
202210,3,87904,79741,96067,133,121,145,FR,France
202209,3,50182,43958,56406,76,67,85,FR,France
202208,3,30963,25942,35984,47,39,55,FR,France
202207,3,34882,29446,40318,53,45,61,FR,France
202206,3,46623,40398,52848,70,61,79,FR,France
202205,3,62970,56043,69897,95,85,105,FR,France
202204,3,72209,64804,79614,109,98,120,FR,France
202203,3,74613,67144,82082,113,102,124,FR,France
202202,3,55920,49511,62329,84,74,94,FR,France
202201,3,57629,50699,64559,87,77,97,FR,France
202152,3,54349,47029,61669,82,71,93,FR,France
202151,3,41698,35359,48037,63,53,73,FR,France
202150,3,38117,32497,43737,58,49,67,FR,France
202149,3,40168,34716,45620,61,53,69,FR,France
202148,3,41842,36364,47320,63,55,71,FR,France
202147,3,36598,31338,41858,55,47,63,FR,France
202146,3,30059,25302,34816,46,39,53,FR,France
202145,3,20364,16564,24164,31,25,37,FR,France
202144,3,18999,15042,22956,29,23,35,FR,France
202143,3,27040,21935,32145,41,33,49,FR,France
202142,3,28343,23382,33304,43,35,51,FR,France
202141,3,25043,20586,29500,38,31,45,FR,France
202140,3,26286,21842,30730,40,33,47,FR,France
202139,3,22155,18014,26296,34,28,40,FR,France
202138,3,15614,12310,18918,24,19,29,FR,France
202137,3,13673,10404,16942,21,16,26,FR,France
202136,3,10289,7505,13073,16,12,20,FR,France
202135,3,12609,9282,15936,19,14,24,FR,France
202134,3,13081,9540,16622,20,15,25,FR,France
202133,3,10392,7042,13742,16,11,21,FR,France
202132,3,15586,11009,20163,24,17,31,FR,France
202131,3,18855,13664,24046,29,21,37,FR,France
202130,3,13991,9695,18287,21,14,28,FR,France
202129,3,13626,9618,17634,21,15,27,FR,France
202128,3,8636,5430,11842,13,8,18,FR,France
202127,3,10693,6838,14548,16,10,22,FR,France
202126,3,7086,4109,10063,11,6,16,FR,France
202125,3,7942,5540,10344,12,8,16,FR,France
202124,3,4855,3011,6699,7,4,10,FR,France
202123,3,6710,4455,8965,10,7,13,FR,France
202122,3,7879,5495,10263,12,8,16,FR,France
202121,3,7827,5403,10251,12,8,16,FR,France
202120,3,10278,7540,13016,16,12,20,FR,France
202119,3,9539,6860,12218,14,10,18,FR,France
202118,3,12135,9165,15105,18,14,22,FR,France
202117,3,12058,8891,15225,18,13,23,FR,France
202116,3,16505,12735,20275,25,19,31,FR,France
202115,3,19306,15398,23214,29,23,35,FR,France
202114,3,21073,17099,25047,32,26,38,FR,France
202113,3,26413,22094,30732,40,33,47,FR,France
202112,3,30658,25919,35397,46,39,53,FR,France
202111,3,24988,20718,29258,38,32,44,FR,France
202110,3,19539,15951,23127,30,25,35,FR,France
202109,3,17572,13926,21218,27,21,33,FR,France
202108,3,20882,16907,24857,32,26,38,FR,France
202107,3,22393,18303,26483,34,28,40,FR,France
202106,3,23183,19134,27232,35,29,41,FR,France
202105,3,22426,18445,26407,34,28,40,FR,France
202104,3,25804,21491,30117,39,32,46,FR,France
202103,3,21810,17894,25726,33,27,39,FR,France
202102,3,17320,13906,20734,26,21,31,FR,France
202101,3,21799,17778,25820,33,27,39,FR,France
202053,3,21220,16498,25942,32,25,39,FR,France
202052,3,16428,12285,20571,25,19,31,FR,France
202051,3,21619,17370,25868,33,27,39,FR,France
202050,3,16845,13220,20470,26,20,32,FR,France
202049,3,12939,9923,15955,20,15,25,FR,France
202048,3,13804,10641,16967,21,16,26,FR,France
202047,3,19085,15285,22885,29,23,35,FR,France
202046,3,24801,20503,29099,38,31,45,FR,France
202045,3,42516,36857,48175,65,56,74,FR,France
202044,3,44567,38521,50613,68,59,77,FR,France
202043,3,43799,37581,50017,67,58,76,FR,France
202042,3,35183,29847,40519,53,45,61,FR,France
202041,3,27926,23251,32601,42,35,49,FR,France
202040,3,20443,16381,24505,31,25,37,FR,France
202039,3,19810,15900,23720,30,24,36,FR,France
202038,3,25559,21141,29977,39,32,46,FR,France
202037,3,18485,14649,22321,28,22,34,FR,France
202036,3,10390,7646,13134,16,12,20,FR,France
202035,3,9918,6842,12994,15,10,20,FR,France
202034,3,6084,3090,9078,9,4,14,FR,France
202033,3,6106,3411,8801,9,5,13,FR,France
202032,3,5918,3330,8506,9,5,13,FR,France
202031,3,4351,2269,6433,7,4,10,FR,France
202030,3,8179,5442,10916,12,8,16,FR,France
202029,3,8687,5860,11514,13,9,17,FR,France
202028,3,8325,5688,10962,13,9,17,FR,France
202027,3,4066,2406,5726,6,3,9,FR,France
202026,3,4039,2389,5689,6,3,9,FR,France
202025,3,2853,1488,4218,4,2,6,FR,France
202024,3,3058,1690,4426,5,3,7,FR,France
202023,3,4168,2468,5868,6,3,9,FR,France
202022,3,3580,1947,5213,5,3,7,FR,France
202021,3,6114,4026,8202,9,6,12,FR,France
202020,3,9315,6775,11855,14,10,18,FR,France
202019,3,11679,8722,14636,18,14,22,FR,France
202018,3,16398,12851,19945,25,20,30,FR,France
202017,3,18082,14454,21710,27,21,33,FR,France
202016,3,24165,19893,28437,37,31,43,FR,France
202015,3,41049,35377,46721,62,53,71,FR,France
202014,3,71666,64531,78801,109,98,120,FR,France
202013,3,107742,99187,116297,164,151,177,FR,France
202012,3,107283,98610,115956,163,150,176,FR,France
202011,3,112943,104468,121418,172,159,185,FR,France
202010,3,105145,96812,113478,160,147,173,FR,France
202009,3,110696,102066,119326,168,155,181,FR,France
202008,3,143753,133984,153522,218,203,233,FR,France
202007,3,183610,172812,194408,279,263,295,FR,France
202006,3,206669,195481,217857,314,297,331,FR,France
202005,3,187957,177445,198469,285,269,301,FR,France
202004,3,122331,113492,131170,186,173,199,FR,France
202003,3,78413,71330,85496,119,108,130,FR,France
202002,3,53614,47654,59574,81,72,90,FR,France
202001,3,36850,31608,42092,56,48,64,FR,France
201952,3,28135,23220,33050,43,36,50,FR,France
201951,3,29786,25042,34530,45,38,52,FR,France
201950,3,34223,29156,39290,52,44,60,FR,France
201949,3,25662,21414,29910,39,33,45,FR,France
201948,3,22367,18055,26679,34,27,41,FR,France
201947,3,18669,14759,22579,28,22,34,FR,France
201946,3,16030,12567,19493,24,19,29,FR,France
201945,3,10138,7160,13116,15,10,20,FR,France
201944,3,7822,5010,10634,12,8,16,FR,France
201943,3,9487,6448,12526,14,9,19,FR,France
201942,3,7747,5243,10251,12,8,16,FR,France
201941,3,7122,4720,9524,11,7,15,FR,France
201940,3,8505,5784,11226,13,9,17,FR,France
201939,3,7091,4462,9720,11,7,15,FR,France
201938,3,4897,2891,6903,7,4,10,FR,France
201937,3,3172,1367,4977,5,2,8,FR,France
201936,3,2295,728,3862,3,1,5,FR,France
201935,3,1010,2,2018,2,0,4,FR,France
201934,3,1672,279,3065,3,1,5,FR,France
201933,3,1593,68,3118,2,0,4,FR,France
201932,3,1592,71,3113,2,0,4,FR,France
201931,3,2337,695,3979,4,2,6,FR,France
201930,3,1944,415,3473,3,1,5,FR,France
201929,3,2096,420,3772,3,0,6,FR,France
201928,3,1195,125,2265,2,0,4,FR,France
201927,3,2466,848,4084,4,2,6,FR,France
201926,3,1798,402,3194,3,1,5,FR,France
201925,3,1544,389,2699,2,0,4,FR,France
201924,3,876,17,1735,1,0,2,FR,France
201923,3,2004,748,3260,3,1,5,FR,France
201922,3,2181,602,3760,3,1,5,FR,France
201921,3,2585,1102,4068,4,2,6,FR,France
201920,3,2891,1202,4580,4,1,7,FR,France
201919,3,3221,1509,4933,5,2,8,FR,France
201918,3,1385,278,2492,2,0,4,FR,France
201917,3,3166,1348,4984,5,2,8,FR,France
201916,3,3842,1973,5711,6,3,9,FR,France
201915,3,5932,3669,8195,9,6,12,FR,France
201914,3,12675,9167,16183,19,14,24,FR,France
201913,3,16513,12530,20496,25,19,31,FR,France
201912,3,22184,17786,26582,34,27,41,FR,France
201911,3,31553,26556,36550,48,40,56,FR,France
201910,3,49742,43268,56216,76,66,86,FR,France
201909,3,88354,79564,97144,134,121,147,FR,France
201908,3,172604,160024,185184,262,243,281,FR,France
201907,3,307338,291220,323456,467,443,491,FR,France
201906,3,394286,376782,411790,599,572,626,FR,France
201905,3,355785,339295,372275,540,515,565,FR,France
201904,3,241090,227261,254919,366,345,387,FR,France
201903,3,147063,135890,158236,223,206,240,FR,France
201902,3,75548,67632,83464,115,103,127,FR,France
201901,3,50295,43525,57065,76,66,86,FR,France
201852,3,37903,31375,44431,58,48,68,FR,France
201851,3,39259,32977,45541,60,50,70,FR,France
201850,3,27781,22638,32924,42,34,50,FR,France
201849,3,19738,15481,23995,30,24,36,FR,France
201848,3,19501,15275,23727,30,24,36,FR,France
201847,3,15949,12105,19793,24,18,30,FR,France
201846,3,11278,7957,14599,17,12,22,FR,France
201845,3,11065,7791,14339,17,12,22,FR,France
201844,3,6586,3875,9297,10,6,14,FR,France
201843,3,6550,3988,9112,10,6,14,FR,France
201842,3,7787,5129,10445,12,8,16,FR,France
201841,3,8048,5098,10998,12,8,16,FR,France
201840,3,7409,4717,10101,11,7,15,FR,France
201839,3,7174,4235,10113,11,7,15,FR,France
201838,3,7349,4399,10299,11,7,15,FR,France
201837,3,4915,2386,7444,7,3,11,FR,France
201836,3,3215,1349,5081,5,2,8,FR,France
201835,3,1506,239,2773,2,0,4,FR,France
201834,3,1368,116,2620,2,0,4,FR,France
201833,3,1962,5,3919,3,0,6,FR,France
201832,3,1839,183,3495,3,0,6,FR,France
201831,3,2048,242,3854,3,0,6,FR,France
201830,3,1951,202,3700,3,0,6,FR,France
201829,3,1951,252,3650,3,0,6,FR,France
201828,3,1654,52,3256,3,1,5,FR,France
201827,3,3266,1145,5387,5,2,8,FR,France
201826,3,3758,1493,6023,6,3,9,FR,France
201825,3,4580,2220,6940,7,3,11,FR,France
201824,3,3223,1351,5095,5,2,8,FR,France
201823,3,1207,136,2278,2,0,4,FR,France
201822,3,3202,1330,5074,5,2,8,FR,France
201821,3,2537,763,4311,4,1,7,FR,France
201820,3,2694,967,4421,4,1,7,FR,France
201819,3,1025,0,2098,2,0,4,FR,France
201818,3,3541,1416,5666,5,2,8,FR,France
201817,3,2573,1003,4143,4,2,6,FR,France
201816,3,4818,2724,6912,7,4,10,FR,France
201815,3,16311,12168,20454,25,19,31,FR,France
201814,3,22666,18092,27240,35,28,42,FR,France
201813,3,32680,25536,39824,50,39,61,FR,France
201812,3,52040,44590,59490,79,68,90,FR,France
201811,3,65159,56506,73812,99,86,112,FR,France
201810,3,93512,83989,103035,142,128,156,FR,France
201809,3,108545,98645,118445,165,150,180,FR,France
201808,3,131870,120950,142790,201,184,218,FR,France
201807,3,141138,130177,152099,215,198,232,FR,France
201806,3,138810,128164,149456,211,195,227,FR,France
201805,3,157839,146646,169032,240,223,257,FR,France
201804,3,175483,163835,187131,267,249,285,FR,France
201803,3,178329,166640,190018,271,253,289,FR,France
201802,3,198079,185663,210495,302,283,321,FR,France
201801,3,235493,220941,250045,358,336,380,FR,France
201752,3,299114,279359,318869,459,429,489,FR,France
201751,3,229448,214366,244530,352,329,375,FR,France
201750,3,129535,118787,140283,199,183,215,FR,France
201749,3,63789,56120,71458,98,86,110,FR,France
201748,3,37568,31541,43595,58,49,67,FR,France
201747,3,24972,19923,30021,38,30,46,FR,France
201746,3,13398,9948,16848,21,16,26,FR,France
201745,3,14035,8091,19979,22,13,31,FR,France
201744,3,8544,5318,11770,13,8,18,FR,France
201743,3,7300,4402,10198,11,7,15,FR,France
201742,3,9966,6503,13429,15,10,20,FR,France
201741,3,12434,8718,16150,19,13,25,FR,France
201740,3,12725,8690,16760,20,14,26,FR,France
201739,3,14949,10534,19364,23,16,30,FR,France
201738,3,11463,7438,15488,18,12,24,FR,France
201737,3,9716,6364,13068,15,10,20,FR,France
201736,3,2815,917,4713,4,1,7,FR,France
201735,3,2794,850,4738,4,1,7,FR,France
201734,3,2497,879,4115,4,2,6,FR,France
201733,3,2406,766,4046,4,1,7,FR,France
201732,3,2667,879,4455,4,1,7,FR,France
201731,3,3256,1158,5354,5,2,8,FR,France
201730,3,3759,1299,6219,6,2,10,FR,France
201729,3,5014,1989,8039,8,3,13,FR,France
201728,3,5271,2576,7966,8,4,12,FR,France
201727,3,3924,1432,6416,6,2,10,FR,France
201726,3,3171,1166,5176,5,2,8,FR,France
201725,3,837,0,1721,1,0,2,FR,France
201724,3,1566,248,2884,2,0,4,FR,France
201723,3,1664,203,3125,3,1,5,FR,France
201722,3,1305,92,2518,2,0,4,FR,France
201721,3,971,0,2046,1,0,3,FR,France
201720,3,2686,793,4579,4,1,7,FR,France
201719,3,3461,1490,5432,5,2,8,FR,France
201718,3,2102,515,3689,3,1,5,FR,France
201717,3,2071,428,3714,3,0,6,FR,France
201716,3,1380,222,2538,2,0,4,FR,France
201715,3,479,0,1242,1,0,2,FR,France
201714,3,1110,0,2549,2,0,4,FR,France
201713,3,7594,3808,11380,12,6,18,FR,France
201712,3,8780,4834,12726,13,7,19,FR,France
201711,3,7814,4329,11299,12,7,17,FR,France
201710,3,11802,7964,15640,18,12,24,FR,France
201709,3,13111,9099,17123,20,14,26,FR,France
201708,3,29545,23136,35954,45,35,55,FR,France
201707,3,59590,49764,69416,91,76,106,FR,France
201706,3,93628,82560,104696,144,127,161,FR,France
201705,3,193677,179255,208099,297,275,319,FR,France
201704,3,256428,240618,272238,394,370,418,FR,France
201703,3,267276,251345,283207,410,386,434,FR,France
201702,3,260588,245070,276106,400,376,424,FR,France
201701,3,255535,239743,271327,392,368,416,FR,France
201652,3,224489,207799,241179,345,319,371,FR,France
201651,3,187704,172655,202753,288,265,311,FR,France
201650,3,126570,115081,138059,194,176,212,FR,France
201649,3,76390,67374,85406,117,103,131,FR,France
201648,3,40502,33949,47055,62,52,72,FR,France
201647,3,22270,17612,26928,34,27,41,FR,France
201646,3,20816,16125,25507,32,25,39,FR,France
201645,3,15957,11448,20466,24,17,31,FR,France
201644,3,15145,10357,19933,23,16,30,FR,France
201643,3,9378,5830,12926,14,9,19,FR,France
201642,3,12920,9044,16796,20,14,26,FR,France
201641,3,13909,9709,18109,21,15,27,FR,France
201640,3,13379,8969,17789,21,14,28,FR,France
201639,3,10598,6814,14382,16,10,22,FR,France
201638,3,5969,3073,8865,9,5,13,FR,France
201637,3,4065,1538,6592,6,2,10,FR,France
201636,3,2372,473,4271,4,1,7,FR,France
201635,3,3420,1350,5490,5,2,8,FR,France
201634,3,2233,0,4643,3,0,7,FR,France
201633,3,1567,0,3938,2,0,6,FR,France
201632,3,2100,93,4107,3,0,6,FR,France
201631,3,3691,0,9120,6,0,14,FR,France
201630,3,3209,644,5774,5,1,9,FR,France
201629,3,1469,0,3073,2,0,4,FR,France
201628,3,2725,357,5093,4,0,8,FR,France
201627,3,5905,2343,9467,9,4,14,FR,France
201626,3,4186,1636,6736,6,2,10,FR,France
201625,3,4611,1560,7662,7,2,12,FR,France
201624,3,4977,2404,7550,8,4,12,FR,France
201623,3,4893,2416,7370,8,4,12,FR,France
201622,3,5667,3015,8319,9,5,13,FR,France
201621,3,5603,2475,8731,9,4,14,FR,France
201620,3,3908,1679,6137,6,3,9,FR,France
201619,3,4738,2308,7168,7,3,11,FR,France
201618,3,8204,4394,12014,13,7,19,FR,France
201617,3,13385,8822,17948,21,14,28,FR,France
201616,3,25670,19632,31708,39,30,48,FR,France
201615,3,48441,39824,57058,74,61,87,FR,France
201614,3,92603,81261,103945,142,125,159,FR,France
201613,3,170654,156387,184921,262,240,284,FR,France
201612,3,272174,254338,290010,418,391,445,FR,France
201611,3,304543,286453,322633,467,439,495,FR,France
201610,3,261822,245799,277845,402,377,427,FR,France
201609,3,229943,214533,245353,353,329,377,FR,France
201608,3,195067,180874,209260,299,277,321,FR,France
201607,3,207359,193223,221495,318,296,340,FR,France
201606,3,196143,182672,209614,301,280,322,FR,France
201605,3,178963,166296,191630,275,256,294,FR,France
201604,3,148473,136591,160355,228,210,246,FR,France
201603,3,75277,66630,83924,116,103,129,FR,France
201602,3,44617,37821,51413,68,58,78,FR,France
201601,3,42263,35556,48970,65,55,75,FR,France
201553,3,24835,19106,30564,38,29,47,FR,France
201552,3,19495,14319,24671,30,22,38,FR,France
201551,3,29080,23014,35146,45,36,54,FR,France
201550,3,25043,19812,30274,39,31,47,FR,France
201549,3,21479,16686,26272,33,26,40,FR,France
201548,3,16428,12273,20583,25,19,31,FR,France
201547,3,14959,10856,19062,23,17,29,FR,France
201546,3,12599,8237,16961,20,13,27,FR,France
201545,3,13577,9192,17962,21,14,28,FR,France
201544,3,14596,10025,19167,23,16,30,FR,France
201543,3,16749,11745,21753,26,18,34,FR,France
201542,3,18675,13613,23737,29,21,37,FR,France
201541,3,13585,9830,17340,21,15,27,FR,France
201540,3,13100,9349,16851,20,14,26,FR,France
201539,3,8595,5671,11519,13,8,18,FR,France
201538,3,8402,4929,11875,13,8,18,FR,France
201537,3,8817,4089,13545,14,7,21,FR,France
201536,3,1922,440,3404,3,1,5,FR,France
201535,3,229,0,644,0,0,1,FR,France
201534,3,760,0,1618,1,0,2,FR,France
201533,3,1537,208,2866,2,0,4,FR,France
201532,3,1594,66,3122,2,0,4,FR,France
201531,3,2845,475,5215,4,0,8,FR,France
201530,3,2447,353,4541,4,1,7,FR,France
201529,3,2389,332,4446,4,1,7,FR,France
201528,3,2089,105,4073,3,0,6,FR,France
201527,3,2257,393,4121,3,0,6,FR,France
201526,3,2536,774,4298,4,1,7,FR,France
201525,3,2607,680,4534,4,1,7,FR,France
201524,3,2849,1000,4698,4,1,7,FR,France
201523,3,2702,857,4547,4,1,7,FR,France
201522,3,4262,1989,6535,7,3,11,FR,France
201521,3,5547,2875,8219,9,5,13,FR,France
201520,3,4594,2040,7148,7,3,11,FR,France
201519,3,6307,3256,9358,10,5,15,FR,France
201518,3,3664,1544,5784,6,3,9,FR,France
201517,3,6382,3523,9241,10,6,14,FR,France
201516,3,12098,7913,16283,19,13,25,FR,France
201515,3,19458,14192,24724,30,22,38,FR,France
201514,3,30940,24617,37263,48,38,58,FR,France
201513,3,49563,41986,57140,77,65,89,FR,France
201512,3,70024,61079,78969,109,95,123,FR,France
201511,3,99295,88838,109752,154,138,170,FR,France
201510,3,143931,131682,156180,223,204,242,FR,France
201509,3,238947,222902,254992,370,345,395,FR,France
201508,3,409972,388670,431274,635,602,668,FR,France
201507,3,517750,494301,541199,802,766,838,FR,France
201506,3,533317,510627,556007,827,792,862,FR,France
201505,3,457911,436964,478858,710,678,742,FR,France
201504,3,292161,275491,308831,453,427,479,FR,France
201503,3,153931,141290,166572,239,219,259,FR,France
201502,3,104096,93358,114834,161,144,178,FR,France
201501,3,70962,60505,81419,110,94,126,FR,France
201452,3,63168,52705,73631,98,82,114,FR,France
201451,3,45346,38002,52690,71,60,82,FR,France
201450,3,42182,35049,49315,66,55,77,FR,France
201449,3,33537,27281,39793,52,42,62,FR,France
201448,3,28156,21896,34416,44,34,54,FR,France
201447,3,18158,13186,23130,28,20,36,FR,France
201446,3,14764,10174,19354,23,16,30,FR,France
201445,3,16172,11449,20895,25,18,32,FR,France
201444,3,15500,10464,20536,24,16,32,FR,France
201443,3,16011,10653,21369,25,17,33,FR,France
201442,3,21651,15828,27474,34,25,43,FR,France
201441,3,22486,16295,28677,35,25,45,FR,France
201440,3,16526,11583,21469,26,18,34,FR,France
201439,3,8583,5054,12112,13,8,18,FR,France
201438,3,10567,6496,14638,16,10,22,FR,France
201437,3,7714,3780,11648,12,6,18,FR,France
201436,3,5018,1949,8087,8,3,13,FR,France
201435,3,2268,355,4181,4,1,7,FR,France
201434,3,2367,250,4484,4,1,7,FR,France
201433,3,2358,0,4875,4,0,8,FR,France
201432,3,3229,447,6011,5,1,9,FR,France
201431,3,4143,349,7937,6,0,12,FR,France
201430,3,4631,902,8360,7,1,13,FR,France
201429,3,5122,1258,8986,8,2,14,FR,France
201428,3,4145,1200,7090,6,1,11,FR,France
201427,3,4823,1997,7649,8,4,12,FR,France
201426,3,3858,1235,6481,6,2,10,FR,France
201425,3,4564,1276,7852,7,2,12,FR,France
201424,3,2007,249,3765,3,0,6,FR,France
201423,3,5164,1853,8475,8,3,13,FR,France
201422,3,6907,1856,11958,11,3,19,FR,France
201421,3,4523,1039,8007,7,2,12,FR,France
201420,3,5881,2432,9330,9,4,14,FR,France
201419,3,3588,1277,5899,6,2,10,FR,France
201418,3,4708,1654,7762,7,2,12,FR,France
201417,3,2989,625,5353,5,1,9,FR,France
201416,3,7057,3381,10733,11,5,17,FR,France
201415,3,10800,6762,14838,17,11,23,FR,France
201414,3,19217,13490,24944,30,21,39,FR,France
201413,3,21577,15435,27719,34,24,44,FR,France
201412,3,23524,17260,29788,37,27,47,FR,France
201411,3,44513,35939,53087,69,56,82,FR,France
201410,3,86105,73497,98713,134,114,154,FR,France
201409,3,147035,131889,162181,229,205,253,FR,France
201408,3,188419,171950,204888,293,267,319,FR,France
201407,3,208726,191283,226169,325,298,352,FR,France
201406,3,160403,145280,175526,250,226,274,FR,France
201405,3,120261,107176,133346,187,167,207,FR,France
201404,3,85280,74414,96146,133,116,150,FR,France
201403,3,64159,54089,74229,100,84,116,FR,France
201402,3,46850,38202,55498,73,60,86,FR,France
201401,3,35624,27451,43797,55,42,68,FR,France
201352,3,30142,22721,37563,47,35,59,FR,France
201351,3,29787,23215,36359,47,37,57,FR,France
201350,3,24055,18214,29896,38,29,47,FR,France
201349,3,18071,13058,23084,28,20,36,FR,France
201348,3,17606,12195,23017,28,20,36,FR,France
201347,3,22636,16343,28929,35,25,45,FR,France
201346,3,13340,8367,18313,21,13,29,FR,France
201345,3,10596,6057,15135,17,10,24,FR,France
201344,3,10193,5622,14764,16,9,23,FR,France
201343,3,15780,9497,22063,25,15,35,FR,France
201342,3,14830,9545,20115,23,15,31,FR,France
201341,3,12391,7265,17517,19,11,27,FR,France
201340,3,9794,5140,14448,15,8,22,FR,France
201339,3,5371,1704,9038,8,2,14,FR,France
201338,3,9324,4198,14450,15,7,23,FR,France
201337,3,5027,1752,8302,8,3,13,FR,France
201336,3,4639,1425,7853,7,2,12,FR,France
201335,3,1291,0,3112,2,0,5,FR,France
201334,3,1889,0,4912,3,0,8,FR,France
201333,3,4740,348,9132,7,0,14,FR,France
201332,3,4709,549,8869,7,0,14,FR,France
201331,3,2270,0,5811,4,0,10,FR,France
201330,3,2169,0,4630,3,0,7,FR,France
201329,3,1696,0,3558,3,0,6,FR,France
201328,3,983,0,2168,2,0,4,FR,France
201327,3,4278,1327,7229,7,2,12,FR,France
201326,3,3488,839,6137,5,1,9,FR,France
201325,3,2735,0,5826,4,0,9,FR,France
201324,3,7245,2997,11493,11,4,18,FR,France
201323,3,16094,8918,23270,25,14,36,FR,France
201322,3,7245,2923,11567,11,4,18,FR,France
201321,3,5974,2401,9547,9,3,15,FR,France
201320,3,3831,1245,6417,6,2,10,FR,France
201319,3,1166,0,2680,2,0,4,FR,France
201318,3,3415,757,6073,5,1,9,FR,France
201317,3,7941,2950,12932,12,4,20,FR,France
201316,3,9520,4758,14282,15,8,22,FR,France
201315,3,19357,13311,25403,30,21,39,FR,France
201314,3,36855,27737,45973,58,44,72,FR,France
201313,3,43236,34048,52424,68,54,82,FR,France
201312,3,60822,50414,71230,95,79,111,FR,France
201311,3,84308,72456,96160,132,113,151,FR,France
201310,3,165558,148471,182645,259,232,286,FR,France
201309,3,259984,239067,280901,407,374,440,FR,France
201308,3,351626,327537,375715,550,512,588,FR,France
201307,3,470076,443682,496470,736,695,777,FR,France
201306,3,471647,445112,498182,738,696,780,FR,France
201305,3,492026,464729,519323,770,727,813,FR,France
201304,3,391525,367182,415868,613,575,651,FR,France
201303,3,224661,207134,242188,352,325,379,FR,France
201302,3,184159,168343,199975,288,263,313,FR,France
201301,3,163491,147340,179642,256,231,281,FR,France
201252,3,159290,141978,176602,251,224,278,FR,France
201251,3,113901,99835,127967,179,157,201,FR,France
201250,3,79918,68086,91750,126,107,145,FR,France
201249,3,47537,38711,56363,75,61,89,FR,France
201248,3,43006,32863,53149,68,52,84,FR,France
201247,3,39223,29140,49306,62,46,78,FR,France
201246,3,26436,18286,34586,42,29,55,FR,France
201245,3,18893,12799,24987,30,20,40,FR,France
201244,3,13106,8784,17428,21,14,28,FR,France
201243,3,17791,11284,24298,28,18,38,FR,France
201242,3,13096,8369,17823,21,14,28,FR,France
201241,3,18675,12010,25340,29,19,39,FR,France
201240,3,17873,11545,24201,28,18,38,FR,France
201239,3,20257,14180,26334,32,22,42,FR,France
201238,3,14715,9178,20252,23,14,32,FR,France
201237,3,7775,3509,12041,12,5,19,FR,France
201236,3,6384,2420,10348,10,4,16,FR,France
201235,3,8277,2206,14348,13,3,23,FR,France
201234,3,3858,0,8641,6,0,14,FR,France
201233,3,6492,840,12144,10,1,19,FR,France
201232,3,6381,0,14034,10,0,22,FR,France
201231,3,2696,0,5763,4,0,9,FR,France
201230,3,1834,0,4194,3,0,7,FR,France
201229,3,6329,1424,11234,10,2,18,FR,France
201228,3,4628,1091,8165,7,1,13,FR,France
201227,3,4162,1487,6837,7,3,11,FR,France
201226,3,4819,1097,8541,8,2,14,FR,France
201225,3,2669,530,4808,4,1,7,FR,France
201224,3,5977,2335,9619,9,3,15,FR,France
201223,3,2361,576,4146,4,1,7,FR,France
201222,3,5772,2435,9109,9,4,14,FR,France
201221,3,3722,821,6623,6,1,11,FR,France
201220,3,2731,897,4565,4,1,7,FR,France
201219,3,3267,1317,5217,5,2,8,FR,France
201218,3,2328,569,4087,4,1,7,FR,France
201217,3,6982,2701,11263,11,4,18,FR,France
201216,3,11455,6874,16036,18,11,25,FR,France
201215,3,20437,13435,27439,32,21,43,FR,France
201214,3,36740,27799,45681,58,44,72,FR,France
201213,3,62917,50171,75663,99,79,119,FR,France
201212,3,84738,71566,97910,133,112,154,FR,France
201211,3,128945,113778,144112,203,179,227,FR,France
201210,3,174704,157337,192071,275,248,302,FR,France
201209,3,225648,206810,244486,355,325,385,FR,France
201208,3,287293,264901,309685,452,417,487,FR,France
201207,3,263557,242711,284403,415,382,448,FR,France
201206,3,175123,158942,191304,276,251,301,FR,France
201205,3,106110,92524,119696,167,146,188,FR,France
201204,3,67778,56784,78772,107,90,124,FR,France
201203,3,49440,40981,57899,78,65,91,FR,France
201202,3,40507,32652,48362,64,52,76,FR,France
201201,3,45104,35640,54568,71,56,86,FR,France
201152,3,36532,28367,44697,58,45,71,FR,France
201151,3,25835,19002,32668,41,30,52,FR,France
201150,3,24155,18145,30165,38,28,48,FR,France
201149,3,27209,20376,34042,43,32,54,FR,France
201148,3,32358,24451,40265,51,38,64,FR,France
201147,3,17627,11780,23474,28,19,37,FR,France
201146,3,22368,15730,29006,35,24,46,FR,France
201145,3,18104,11995,24213,29,19,39,FR,France
201144,3,14050,8471,19629,22,13,31,FR,France
201143,3,21522,14251,28793,34,22,46,FR,France
201142,3,16932,11363,22501,27,18,36,FR,France
201141,3,7486,4024,10948,12,7,17,FR,France
201140,3,14053,8659,19447,22,13,31,FR,France
201139,3,17021,11062,22980,27,18,36,FR,France
201138,3,14007,8465,19549,22,13,31,FR,France
201137,3,8365,4174,12556,13,6,20,FR,France
201136,3,4606,1714,7498,7,2,12,FR,France
201135,3,4178,1634,6722,7,3,11,FR,France
201134,3,3312,683,5941,5,1,9,FR,France
201133,3,2421,0,5277,4,0,9,FR,France
201132,3,2590,119,5061,4,0,8,FR,France
201131,3,2409,320,4498,4,1,7,FR,France
201130,3,3972,1395,6549,6,2,10,FR,France
201129,3,2265,717,3813,4,2,6,FR,France
201128,3,1977,255,3699,3,0,6,FR,France
201127,3,3524,551,6497,6,1,11,FR,France
201126,3,1155,0,2685,2,0,4,FR,France
201125,3,3791,1006,6576,6,2,10,FR,France
201124,3,3507,1149,5865,6,2,10,FR,France
201123,3,3406,1170,5642,5,1,9,FR,France
201122,3,3122,1125,5119,5,2,8,FR,France
201121,3,2694,769,4619,4,1,7,FR,France
201120,3,3951,1443,6459,6,2,10,FR,France
201119,3,5416,1995,8837,9,4,14,FR,France
201118,3,5306,1815,8797,8,2,14,FR,France
201117,3,2659,310,5008,4,0,8,FR,France
201116,3,5061,1988,8134,8,3,13,FR,France
201115,3,6557,3038,10076,10,4,16,FR,France
201114,3,7352,3784,10920,12,6,18,FR,France
201113,3,8749,5213,12285,14,8,20,FR,France
201112,3,12491,7845,17137,20,13,27,FR,France
201111,3,14619,10009,19229,23,16,30,FR,France
201110,3,33628,26073,41183,53,41,65,FR,France
201109,3,54522,46057,62987,86,73,99,FR,France
201108,3,78392,67885,88899,124,107,141,FR,France
201107,3,149219,134798,163640,236,213,259,FR,France
201106,3,216579,200236,232922,343,317,369,FR,France
201105,3,278192,260235,296149,440,412,468,FR,France
201104,3,278218,259626,296810,440,411,469,FR,France
201103,3,275882,257313,294451,437,408,466,FR,France
201102,3,308949,288320,329578,489,456,522,FR,France
201101,3,309933,288190,331676,490,456,524,FR,France
201052,3,228105,208046,248164,363,331,395,FR,France
201051,3,158957,142576,175338,253,227,279,FR,France
201050,3,104874,91639,118109,167,146,188,FR,France
201049,3,54971,46418,63524,88,74,102,FR,France
201048,3,36982,29304,44660,59,47,71,FR,France
201047,3,26598,20123,33073,42,32,52,FR,France
201046,3,15465,10915,20015,25,18,32,FR,France
201045,3,9040,5772,12308,14,9,19,FR,France
201044,3,15833,10255,21411,25,16,34,FR,France
201043,3,16002,11001,21003,25,17,33,FR,France
201042,3,18709,13376,24042,30,22,38,FR,France
201041,3,17352,12182,22522,28,20,36,FR,France
201040,3,18331,12824,23838,29,20,38,FR,France
201039,3,11978,7913,16043,19,13,25,FR,France
201038,3,8936,4906,12966,14,8,20,FR,France
201037,3,5318,2551,8085,8,4,12,FR,France
201036,3,4954,2058,7850,8,3,13,FR,France
201035,3,4279,1604,6954,7,3,11,FR,France
201034,3,4926,566,9286,8,1,15,FR,France
201033,3,2950,0,6507,5,0,11,FR,France
201032,3,671,0,1522,1,0,2,FR,France
201031,3,2732,509,4955,4,0,8,FR,France
201030,3,3989,1068,6910,6,1,11,FR,France
201029,3,4123,1531,6715,7,3,11,FR,France
201028,3,1209,0,2640,2,0,4,FR,France
201027,3,2494,433,4555,4,1,7,FR,France
201026,3,5808,2454,9162,9,4,14,FR,France
201025,3,8019,4395,11643,13,7,19,FR,France
201024,3,3584,1657,5511,6,3,9,FR,France
201023,3,4016,1905,6127,6,3,9,FR,France
201022,3,6251,3664,8838,10,6,14,FR,France
201021,3,3860,1636,6084,6,2,10,FR,France
201020,3,2470,442,4498,4,1,7,FR,France
201019,3,2273,636,3910,4,1,7,FR,France
201018,3,4095,1639,6551,7,3,11,FR,France
201017,3,2216,817,3615,4,2,6,FR,France
201016,3,3471,1085,5857,6,2,10,FR,France
201015,3,3990,1376,6604,6,2,10,FR,France
201014,3,6188,3191,9185,10,5,15,FR,France
201013,3,6705,3665,9745,11,6,16,FR,France
201012,3,6727,3582,9872,11,6,16,FR,France
201011,3,8692,5002,12382,14,8,20,FR,France
201010,3,8844,5465,12223,14,9,19,FR,France
201009,3,12081,7334,16828,19,11,27,FR,France
201008,3,15433,10422,20444,25,17,33,FR,France
201007,3,19690,11728,27652,31,18,44,FR,France
201006,3,27858,18883,36833,44,30,58,FR,France
201005,3,22197,17019,27375,35,27,43,FR,France
201004,3,33817,26151,41483,54,42,66,FR,France
201003,3,36236,27936,44536,58,45,71,FR,France
201002,3,40691,32891,48491,65,53,77,FR,France
201001,3,66574,56164,76984,106,89,123,FR,France
200953,3,96141,81818,110464,153,130,176,FR,France
200952,3,172872,153238,192506,275,244,306,FR,France
200951,3,247809,229140,266478,395,365,425,FR,France
200950,3,379424,355974,402874,604,567,641,FR,France
200949,3,473718,447756,499680,754,713,795,FR,France
200948,3,467551,441506,493596,744,703,785,FR,France
200947,3,378924,355752,402096,603,566,640,FR,France
200946,3,223847,203918,243776,356,324,388,FR,France
200945,3,147046,131155,162937,234,209,259,FR,France
200944,3,170231,151298,189164,271,241,301,FR,France
200943,3,131408,114883,147933,209,183,235,FR,France
200942,3,99387,84491,114283,158,134,182,FR,France
200941,3,100802,86381,115223,160,137,183,FR,France
200940,3,111587,97628,125546,178,156,200,FR,France
200939,3,121267,106153,136381,193,169,217,FR,France
200938,3,137924,121242,154606,220,193,247,FR,France
200937,3,101332,87522,115142,161,139,183,FR,France
200936,3,46024,36435,55613,73,58,88,FR,France
200935,3,31660,23669,39651,50,37,63,FR,France
200934,3,24985,17699,32271,40,28,52,FR,France
200933,3,24435,16308,32562,39,26,52,FR,France
200932,3,23151,14624,31678,37,23,51,FR,France
200931,3,30255,9818,50692,48,15,81,FR,France
200930,3,13868,7861,19875,22,12,32,FR,France
200929,3,10704,5314,16094,17,8,26,FR,France
200928,3,15516,273,30759,25,1,49,FR,France
200927,3,10354,2760,17948,16,4,28,FR,France
200926,3,9932,5257,14607,16,9,23,FR,France
200925,3,7619,4026,11212,12,6,18,FR,France
200924,3,7794,3409,12179,12,5,19,FR,France
200923,3,4342,1975,6709,7,3,11,FR,France
200922,3,6390,3020,9760,10,5,15,FR,France
200921,3,7118,3704,10532,11,6,16,FR,France
200920,3,9482,5804,13160,15,9,21,FR,France
200919,3,7538,4299,10777,12,7,17,FR,France
200918,3,9627,5121,14133,15,8,22,FR,France
200917,3,9537,5267,13807,15,8,22,FR,France
200916,3,14666,9218,20114,23,14,32,FR,France
200915,3,17533,12137,22929,28,19,37,FR,France
200914,3,26324,19150,33498,42,31,53,FR,France
200913,3,27737,20781,34693,44,33,55,FR,France
200912,3,38811,29935,47687,62,48,76,FR,France
200911,3,40410,30705,50115,64,49,79,FR,France
200910,3,53395,41943,64847,85,67,103,FR,France
200909,3,70558,57400,83716,112,91,133,FR,France
200908,3,109100,94840,123360,174,151,197,FR,France
200907,3,141531,125101,157961,225,199,251,FR,France
200906,3,276274,252759,299789,440,403,477,FR,France
200905,3,401868,375032,428704,640,597,683,FR,France
200904,3,545313,512892,577734,868,816,920,FR,France
200903,3,520957,487271,554643,829,775,883,FR,France
200902,3,287145,262869,311421,457,418,496,FR,France
200901,3,200349,180878,219820,319,288,350,FR,France
200852,3,198418,115769,281067,323,188,458,FR,France
200851,3,112588,96656,128520,184,158,210,FR,France
200850,3,51746,43319,60173,84,70,98,FR,France
200849,3,34950,27527,42373,57,45,69,FR,France
200848,3,25604,18563,32645,42,31,53,FR,France
200847,3,18706,10838,26574,30,17,43,FR,France
200846,3,10899,5461,16337,18,9,27,FR,France
200845,3,12472,7082,17862,20,11,29,FR,France
200844,3,9772,5661,13883,16,9,23,FR,France
200843,3,9345,5541,13149,15,9,21,FR,France
200842,3,9087,5572,12602,15,9,21,FR,France
200841,3,9925,5637,14213,16,9,23,FR,France
200840,3,7869,4535,11203,13,8,18,FR,France
200839,3,2195,506,3884,4,1,7,FR,France
200838,3,3679,1481,5877,6,2,10,FR,France
200837,3,2429,561,4297,4,1,7,FR,France
200836,3,2512,492,4532,4,1,7,FR,France
200835,3,1901,0,4869,3,0,8,FR,France
200834,3,2552,0,6509,4,0,10,FR,France
200833,3,7229,0,16106,12,0,26,FR,France
200832,3,4378,107,8649,7,0,14,FR,France
200831,3,3972,621,7323,6,1,11,FR,France
200830,3,3821,643,6999,6,1,11,FR,France
200829,3,2055,0,4225,3,0,7,FR,France
200828,3,3257,208,6306,5,0,10,FR,France
200827,3,2862,474,5250,5,1,9,FR,France
200826,3,897,0,2062,1,0,3,FR,France
200825,3,2006,360,3652,3,0,6,FR,France
200824,3,3217,823,5611,5,1,9,FR,France
200823,3,2906,1006,4806,5,2,8,FR,France
200822,3,1792,451,3133,3,1,5,FR,France
200821,3,3642,925,6359,6,2,10,FR,France
200820,3,6452,2790,10114,11,5,17,FR,France
200819,3,5173,1485,8861,8,2,14,FR,France
200818,3,5315,1770,8860,9,3,15,FR,France
200817,3,10150,5835,14465,17,10,24,FR,France
200816,3,11876,7054,16698,19,11,27,FR,France
200815,3,22871,16253,29489,37,26,48,FR,France
200814,3,45610,27907,63313,74,45,103,FR,France
200813,3,38600,29300,47900,63,48,78,FR,France
200812,3,53169,43299,63039,87,71,103,FR,France
200811,3,62014,50430,73598,101,82,120,FR,France
200810,3,90342,75729,104955,147,123,171,FR,France
200809,3,119696,104205,135187,195,170,220,FR,France
200808,3,198688,180749,216627,324,295,353,FR,France
200807,3,286498,264535,308461,467,431,503,FR,France
200806,3,377097,350714,403480,615,572,658,FR,France
200805,3,344050,320436,367664,561,523,599,FR,France
200804,3,290196,268193,312199,473,437,509,FR,France
200803,3,260268,233385,287151,424,380,468,FR,France
200802,3,160872,145311,176433,262,237,287,FR,France
200801,3,102562,88547,116577,167,144,190,FR,France
200752,3,86742,72295,101189,141,117,165,FR,France
200751,3,61954,51764,72144,101,84,118,FR,France
200750,3,45366,36923,53809,74,60,88,FR,France
200749,3,38351,26177,50525,63,43,83,FR,France
200748,3,48174,35418,60930,79,58,100,FR,France
200747,3,30716,23351,38081,50,38,62,FR,France
200746,3,18204,12267,24141,30,20,40,FR,France
200745,3,15521,10195,20847,25,16,34,FR,France
200744,3,13904,9072,18736,23,15,31,FR,France
200743,3,16212,10778,21646,26,17,35,FR,France
200742,3,20197,13955,26439,33,23,43,FR,France
200741,3,12987,8464,17510,21,14,28,FR,France
200740,3,13517,2983,24051,22,5,39,FR,France
200739,3,15985,7519,24451,26,12,40,FR,France
200738,3,4769,837,8701,8,2,14,FR,France
200737,3,1449,300,2598,2,0,4,FR,France
200736,3,1100,0,2424,2,0,4,FR,France
200735,3,1177,0,2872,2,0,5,FR,France
200734,3,3353,654,6052,5,1,9,FR,France
200733,3,4189,360,8018,7,1,13,FR,France
200732,3,132,0,688,0,0,1,FR,France
200731,3,1965,0,4461,3,0,7,FR,France
200730,3,2158,0,4583,4,0,8,FR,France
200729,3,3406,240,6572,6,1,11,FR,France
200728,3,1459,0,3467,2,0,5,FR,France
200727,3,1453,0,3382,2,0,5,FR,France
200726,3,157,0,513,0,0,1,FR,France
200725,3,3699,0,7778,6,0,13,FR,France
200724,3,2854,481,5227,5,1,9,FR,France
200723,3,5343,2164,8522,9,4,14,FR,France
200722,3,7689,4224,11154,13,7,19,FR,France
200721,3,4319,1659,6979,7,3,11,FR,France
200720,3,6400,2685,10115,10,4,16,FR,France
200719,3,3012,703,5321,5,1,9,FR,France
200718,3,2232,348,4116,4,1,7,FR,France
200717,3,4705,1736,7674,8,3,13,FR,France
200716,3,3817,1438,6196,6,2,10,FR,France
200715,3,4757,717,8797,8,1,15,FR,France
200714,3,11377,6957,15797,19,12,26,FR,France
200713,3,21271,13093,29449,35,22,48,FR,France
200712,3,25433,17717,33149,41,28,54,FR,France
200711,3,30764,23356,38172,50,38,62,FR,France
200710,3,49469,40368,58570,81,66,96,FR,France
200709,3,138901,117018,160784,226,190,262,FR,France
200708,3,316747,284988,348506,516,464,568,FR,France
200707,3,417698,386505,448891,681,630,732,FR,France
200706,3,500016,466668,533364,815,761,869,FR,France
200705,3,375457,346822,404092,612,565,659,FR,France
200704,3,209878,189332,230424,342,309,375,FR,France
200703,3,126161,110596,141726,206,181,231,FR,France
200702,3,82849,69493,96205,135,113,157,FR,France
200701,3,70842,58613,83071,115,95,135,FR,France
200652,3,78190,64191,92189,128,105,151,FR,France
200651,3,62734,50210,75258,103,82,124,FR,France
200650,3,35668,27280,44056,58,44,72,FR,France
200649,3,18773,13164,24382,31,22,40,FR,France
200648,3,16439,11225,21653,27,18,36,FR,France
200647,3,16104,9343,22865,26,15,37,FR,France
200646,3,14032,5590,22474,23,9,37,FR,France
200645,3,12285,7745,16825,20,13,27,FR,France
200644,3,8031,4172,11890,13,7,19,FR,France
200643,3,21157,12483,29831,35,21,49,FR,France
200642,3,16673,8249,25097,27,13,41,FR,France
200641,3,13920,9081,18759,23,15,31,FR,France
200640,3,11950,7132,16768,20,12,28,FR,France
200639,3,8945,4333,13557,15,7,23,FR,France
200638,3,2532,138,4926,4,0,8,FR,France
200637,3,1786,233,3339,3,0,6,FR,France
200636,3,1107,0,2346,2,0,4,FR,France
200635,3,2170,0,4760,4,0,8,FR,France
200634,3,1572,0,3756,3,0,7,FR,France
200633,3,0,0,0,0,0,0,FR,France
200632,3,0,0,0,0,0,0,FR,France
200631,3,1773,0,3892,3,0,6,FR,France
200630,3,665,0,1614,1,0,3,FR,France
200629,3,1339,0,3260,2,0,5,FR,France
200628,3,843,0,2245,1,0,3,FR,France
200627,3,1351,0,3031,2,0,5,FR,France
200626,3,4564,1506,7622,7,2,12,FR,France
200625,3,6259,2072,10446,10,3,17,FR,France
200624,3,4279,964,7594,7,2,12,FR,France
200623,3,4532,1489,7575,7,2,12,FR,France
200622,3,5807,2667,8947,10,5,15,FR,France
200621,3,4661,1761,7561,8,3,13,FR,France
200620,3,8859,4754,12964,15,8,22,FR,France
200619,3,5083,2011,8155,8,3,13,FR,France
200618,3,4454,1632,7276,7,2,12,FR,France
200617,3,17762,11802,23722,29,19,39,FR,France
200616,3,22096,15420,28772,36,25,47,FR,France
200615,3,26969,19631,34307,44,32,56,FR,France
200614,3,40321,31022,49620,66,51,81,FR,France
200613,3,77053,63531,90575,126,104,148,FR,France
200612,3,108004,93005,123003,177,152,202,FR,France
200611,3,122437,106388,138486,201,175,227,FR,France
200610,3,124749,109104,140394,204,178,230,FR,France
200609,3,164150,146099,182201,269,239,299,FR,France
200608,3,199088,178830,219346,326,293,359,FR,France
200607,3,243908,221071,266745,400,363,437,FR,France
200606,3,256758,235190,278326,421,386,456,FR,France
200605,3,184928,166901,202955,303,273,333,FR,France
200604,3,104620,90909,118331,171,149,193,FR,France
200603,3,66255,55727,76783,109,92,126,FR,France
200602,3,39211,31418,47004,64,51,77,FR,France
200601,3,34603,26269,42937,57,43,71,FR,France
200552,3,32132,24389,39875,53,40,66,FR,France
200551,3,40344,28397,52291,67,47,87,FR,France
200550,3,36880,28635,45125,61,47,75,FR,France
200549,3,27589,20576,34602,46,34,58,FR,France
200548,3,24860,17839,31881,41,29,53,FR,France
200547,3,26884,19810,33958,44,32,56,FR,France
200546,3,23967,17155,30779,40,29,51,FR,France
200545,3,14609,8709,20509,24,14,34,FR,France
200544,3,20481,13625,27337,34,23,45,FR,France
200543,3,18045,11916,24174,30,20,40,FR,France
200542,3,23653,15209,32097,39,25,53,FR,France
200541,3,26466,18270,34662,44,30,58,FR,France
200540,3,26647,18088,35206,44,30,58,FR,France
200539,3,23994,15381,32607,40,26,54,FR,France
200538,3,21881,13979,29783,36,23,49,FR,France
200537,3,10347,5384,15310,17,9,25,FR,France
200536,3,7082,2806,11358,12,5,19,FR,France
200535,3,2448,0,4987,4,0,8,FR,France
200534,3,5281,539,10023,9,1,17,FR,France
200533,3,2815,0,6252,5,0,11,FR,France
200532,3,1572,0,3690,3,0,6,FR,France
200531,3,3767,0,10955,6,0,18,FR,France
200530,3,2203,0,5072,4,0,9,FR,France
200529,3,3965,739,7191,7,2,12,FR,France
200528,3,1988,96,3880,3,0,6,FR,France
200527,3,2305,0,4713,4,0,8,FR,France
200526,3,4720,1385,8055,8,2,14,FR,France
200525,3,2354,0,4747,4,0,8,FR,France
200524,3,5892,2029,9755,10,4,16,FR,France
200523,3,5246,1722,8770,9,3,15,FR,France
200522,3,3935,1031,6839,6,1,11,FR,France
200521,3,4284,474,8094,7,1,13,FR,France
200520,3,7841,3611,12071,13,6,20,FR,France
200519,3,7638,3346,11930,13,6,20,FR,France
200518,3,2755,388,5122,5,1,9,FR,France
200517,3,7166,3530,10802,12,6,18,FR,France
200516,3,9741,5344,14138,16,9,23,FR,France
200515,3,14881,9018,20744,25,15,35,FR,France
200514,3,21988,14834,29142,36,24,48,FR,France
200513,3,42971,33053,52889,71,55,87,FR,France
200512,3,90040,75374,104706,149,125,173,FR,France
200511,3,183032,161407,204657,302,266,338,FR,France
200510,3,222526,199990,245062,367,330,404,FR,France
200509,3,251784,229464,274104,416,379,453,FR,France
200508,3,277423,254825,300021,458,421,495,FR,France
200507,3,459444,430026,488862,759,710,808,FR,France
200506,3,568610,536207,601013,939,885,993,FR,France
200505,3,568285,534912,601658,938,883,993,FR,France
200504,3,316856,292011,341701,523,482,564,FR,France
200503,3,154208,137061,171355,255,227,283,FR,France
200502,3,88853,75576,102130,147,125,169,FR,France
200501,3,55801,45339,66263,92,75,109,FR,France
200453,3,40695,31926,49464,68,53,83,FR,France
200452,3,32687,24316,41058,54,40,68,FR,France
200451,3,46209,36017,56401,77,60,94,FR,France
200450,3,42358,31865,52851,70,53,87,FR,France
200449,3,27092,17910,36274,45,30,60,FR,France
200448,3,30522,21236,39808,51,36,66,FR,France
200447,3,21148,13386,28910,35,22,48,FR,France
200446,3,13934,8335,19533,23,14,32,FR,France
200445,3,15658,9703,21613,26,16,36,FR,France
200444,3,23166,14852,31480,38,24,52,FR,France
200443,3,16780,10545,23015,28,18,38,FR,France
200442,3,20480,13909,27051,34,23,45,FR,France
200441,3,15852,9789,21915,26,16,36,FR,France
200440,3,25639,17291,33987,43,29,57,FR,France
200439,3,22680,13222,32138,38,22,54,FR,France
200438,3,17483,9417,25549,29,16,42,FR,France
200437,3,9103,4768,13438,15,8,22,FR,France
200436,3,7753,3596,11910,13,6,20,FR,France
200435,3,4408,775,8041,7,1,13,FR,France
200434,3,4501,610,8392,7,1,13,FR,France
200433,3,1697,0,4046,3,0,7,FR,France
200432,3,3496,0,8181,6,0,14,FR,France
200431,3,2949,20,5878,5,0,10,FR,France
200430,3,3557,642,6472,6,1,11,FR,France
200429,3,5164,1162,9166,9,2,16,FR,France
200428,3,6358,2224,10492,11,4,18,FR,France
200427,3,7486,3040,11932,12,5,19,FR,France
200426,3,7113,0,14709,12,0,25,FR,France
200425,3,3275,508,6042,5,0,10,FR,France
200424,3,6737,2394,11080,11,4,18,FR,France
200423,3,9792,807,18777,16,1,31,FR,France
200422,3,8077,3482,12672,13,5,21,FR,France
200421,3,8073,3588,12558,13,6,20,FR,France
200420,3,7885,3454,12316,13,6,20,FR,France
200419,3,7235,3101,11369,12,5,19,FR,France
200418,3,5108,1830,8386,8,3,13,FR,France
200417,3,3647,523,6771,6,1,11,FR,France
200416,3,5265,1359,9171,9,3,15,FR,France
200415,3,8272,3655,12889,14,6,22,FR,France
200414,3,15657,8888,22426,26,15,37,FR,France
200413,3,8316,4067,12565,14,7,21,FR,France
200412,3,12482,6899,18065,21,12,30,FR,France
200411,3,13964,7879,20049,23,13,33,FR,France
200410,3,22531,14164,30898,37,23,51,FR,France
200409,3,12618,7283,17953,21,12,30,FR,France
200408,3,17738,11055,24421,29,18,40,FR,France
200407,3,25484,17228,33740,42,28,56,FR,France
200406,3,27452,19505,35399,46,33,59,FR,France
200405,3,35110,25869,44351,58,43,73,FR,France
200404,3,44571,35266,53876,74,59,89,FR,France
200403,3,60482,50389,70575,100,83,117,FR,France
200402,3,95234,81407,109061,158,135,181,FR,France
200401,3,109116,84565,133667,181,140,222,FR,France
200352,3,72239,5520,138958,121,10,232,FR,France
200351,3,445464,389214,501714,744,650,838,FR,France
200350,3,522427,491781,553073,873,822,924,FR,France
200349,3,555492,524706,586278,928,877,979,FR,France
200348,3,514668,485364,543972,860,811,909,FR,France
200347,3,332927,305972,359882,556,511,601,FR,France
200346,3,146101,126840,165362,244,212,276,FR,France
200345,3,95565,80900,110230,160,135,185,FR,France
200344,3,54703,43193,66213,91,72,110,FR,France
200343,3,45834,36611,55057,77,62,92,FR,France
200342,3,39010,28885,49135,65,48,82,FR,France
200341,3,29579,21478,37680,49,35,63,FR,France
200340,3,30862,19484,42240,52,33,71,FR,France
200339,3,26592,18927,34257,44,31,57,FR,France
200338,3,14811,8777,20845,25,15,35,FR,France
200337,3,14735,7495,21975,25,13,37,FR,France
200336,3,10951,3732,18170,18,6,30,FR,France
200335,3,1504,0,3349,3,0,6,FR,France
200334,3,2194,0,4889,4,0,9,FR,France
200333,3,1504,0,3921,3,0,7,FR,France
200332,3,1619,0,4072,3,0,7,FR,France
200331,3,5164,0,10601,9,0,18,FR,France
200330,3,3183,28,6338,5,0,10,FR,France
200329,3,6801,450,13152,11,0,22,FR,France
200328,3,3975,609,7341,7,1,13,FR,France
200327,3,2293,0,4605,4,0,8,FR,France
200326,3,5333,2138,8528,9,4,14,FR,France
200325,3,2602,0,5228,4,0,8,FR,France
200324,3,8429,0,19483,14,0,32,FR,France
200323,3,4821,1479,8163,8,2,14,FR,France
200322,3,2573,158,4988,4,0,8,FR,France
200321,3,5563,2465,8661,9,4,14,FR,France
200320,3,7554,3748,11360,13,7,19,FR,France
200319,3,8325,3777,12873,14,6,22,FR,France
200318,3,12268,6392,18144,20,10,30,FR,France
200317,3,46253,36234,56272,77,60,94,FR,France
200316,3,50759,39835,61683,85,67,103,FR,France
200315,3,69269,55778,82760,116,93,139,FR,France
200314,3,70084,55374,84794,117,92,142,FR,France
200313,3,70335,56370,84300,118,95,141,FR,France
200312,3,88582,73568,103596,148,123,173,FR,France
200311,3,99729,83353,116105,167,140,194,FR,France
200310,3,121516,104361,138671,203,174,232,FR,France
200309,3,177255,151800,202710,296,253,339,FR,France
200308,3,222638,194269,251007,372,325,419,FR,France
200307,3,237104,207851,266357,396,347,445,FR,France
200306,3,206955,177973,235937,346,298,394,FR,France
200305,3,151864,125877,177851,254,211,297,FR,France
200304,3,95356,76211,114501,159,127,191,FR,France
200303,3,50983,38264,63702,85,64,106,FR,France
200302,3,31447,21706,41188,53,37,69,FR,France
200301,3,31228,19202,43254,52,32,72,FR,France
200252,3,47016,33692,60340,79,57,101,FR,France
200251,3,47629,36912,58346,80,62,98,FR,France
200250,3,35221,26217,44225,59,44,74,FR,France
200249,3,24656,16900,32412,41,28,54,FR,France
200248,3,19799,12868,26730,33,21,45,FR,France
200247,3,16449,9214,23684,28,16,40,FR,France
200246,3,12753,5779,19727,21,9,33,FR,France
200245,3,19304,8475,30133,32,14,50,FR,France
200244,3,18082,10671,25493,30,18,42,FR,France
200243,3,14326,7548,21104,24,13,35,FR,France
200242,3,13774,7800,19748,23,13,33,FR,France
200241,3,11036,5650,16422,19,10,28,FR,France
200240,3,8137,3375,12899,14,6,22,FR,France
200239,3,15989,9892,22086,27,17,37,FR,France
200238,3,7067,3299,10835,12,6,18,FR,France
200237,3,12409,4981,19837,21,9,33,FR,France
200236,3,1679,0,4072,3,0,7,FR,France
200235,3,2126,0,6301,4,0,11,FR,France
200234,3,2843,0,7483,5,0,13,FR,France
200233,3,2670,0,5462,4,0,9,FR,France
200232,3,1087,0,3003,2,0,5,FR,France
200231,3,5455,399,10511,9,1,17,FR,France
200230,3,3601,0,7836,6,0,13,FR,France
200229,3,5576,379,10773,9,0,18,FR,France
200228,3,6602,0,14289,11,0,24,FR,France
200227,3,1882,0,6151,3,0,10,FR,France
200226,3,4523,0,12320,8,0,21,FR,France
200225,3,4765,1076,8454,8,2,14,FR,France
200224,3,12063,7174,16952,20,12,28,FR,France
200223,3,15468,9806,21130,26,16,36,FR,France
200222,3,4854,1696,8012,8,3,13,FR,France
200221,3,5901,2212,9590,10,4,16,FR,France
200220,3,3803,1215,6391,6,2,10,FR,France
200219,3,6139,2598,9680,10,4,16,FR,France
200218,3,6083,2646,9520,10,4,16,FR,France
200217,3,7223,2678,11768,12,4,20,FR,France
200216,3,17762,9887,25637,30,17,43,FR,France
200215,3,21654,13662,29646,36,23,49,FR,France
200214,3,23877,15709,32045,40,26,54,FR,France
200213,3,27497,16289,38705,46,27,65,FR,France
200212,3,33510,20938,46082,56,35,77,FR,France
200211,3,40426,29171,51681,68,49,87,FR,France
200210,3,42915,24537,61293,72,41,103,FR,France
200209,3,63735,48368,79102,107,81,133,FR,France
200208,3,117204,95548,138860,197,161,233,FR,France
200207,3,170251,137065,203437,286,230,342,FR,France
200206,3,325084,296111,354057,546,497,595,FR,France
200205,3,456186,422559,489813,767,710,824,FR,France
200204,3,504715,470859,538571,848,791,905,FR,France
200203,3,383720,353019,414421,645,593,697,FR,France
200202,3,244028,217752,270304,410,366,454,FR,France
200201,3,115422,95696,135148,194,161,227,FR,France
200152,3,57999,43225,72773,98,73,123,FR,France
200151,3,45961,36017,55905,78,61,95,FR,France
200150,3,31309,22878,39740,53,39,67,FR,France
200149,3,34792,23268,46316,59,40,78,FR,France
200148,3,43283,20164,66402,73,34,112,FR,France
200147,3,27455,20021,34889,46,33,59,FR,France
200146,3,21127,14294,27960,36,24,48,FR,France
200145,3,20766,13979,27553,35,24,46,FR,France
200144,3,11410,6593,16227,19,11,27,FR,France
200143,3,23311,15652,30970,39,26,52,FR,France
200142,3,18963,11652,26274,32,20,44,FR,France
200141,3,20241,14032,26450,34,24,44,FR,France
200140,3,18113,9971,26255,31,17,45,FR,France
200139,3,25407,7785,43029,43,13,73,FR,France
200138,3,9736,4985,14487,16,8,24,FR,France
200137,3,8025,3527,12523,14,6,22,FR,France
200136,3,4663,654,8672,8,1,15,FR,France
200135,3,4399,0,9810,7,0,16,FR,France
200134,3,2990,0,6419,5,0,11,FR,France
200133,3,0,0,0,0,0,0,FR,France
200132,3,0,0,0,0,0,0,FR,France
200131,3,18999,4286,33712,32,7,57,FR,France
200130,3,2144,0,5670,4,0,10,FR,France
200129,3,2408,0,5215,4,0,9,FR,France
200128,3,3555,553,6557,6,1,11,FR,France
200127,3,4739,1122,8356,8,2,14,FR,France
200126,3,3335,466,6204,6,1,11,FR,France
200125,3,2643,527,4759,4,0,8,FR,France
200124,3,4784,2158,7410,8,4,12,FR,France
200123,3,6299,3161,9437,11,6,16,FR,France
200122,3,4544,2006,7082,8,4,12,FR,France
200121,3,8925,4094,13756,15,7,23,FR,France
200120,3,15269,8883,21655,26,15,37,FR,France
200119,3,17369,10575,24163,29,18,40,FR,France
200118,3,21043,14262,27824,36,25,47,FR,France
200117,3,25787,19109,32465,44,33,55,FR,France
200116,3,24025,16833,31217,41,29,53,FR,France
200115,3,24188,17340,31036,41,29,53,FR,France
200114,3,40429,31774,49084,68,53,83,FR,France
200113,3,48644,39517,57771,82,67,97,FR,France
200112,3,45411,35780,55042,77,61,93,FR,France
200111,3,49809,40534,59084,84,68,100,FR,France
200110,3,46649,37240,56058,79,63,95,FR,France
200109,3,58623,47346,69900,99,80,118,FR,France
200108,3,77423,63237,91609,131,107,155,FR,France
200107,3,126970,107898,146042,215,183,247,FR,France
200106,3,225969,198142,253796,382,335,429,FR,France
200105,3,278674,249486,307862,471,422,520,FR,France
200104,3,209193,189129,229257,354,320,388,FR,France
200103,3,139823,124243,155403,236,210,262,FR,France
200102,3,105356,92392,118320,178,156,200,FR,France
200101,3,98930,84599,113261,167,143,191,FR,France
200052,3,143525,124203,162847,244,211,277,FR,France
200051,3,125224,108719,141729,213,185,241,FR,France
200050,3,99177,84857,113497,169,145,193,FR,France
200049,3,74170,54196,94144,126,92,160,FR,France
200048,3,43642,34064,53220,74,58,90,FR,France
200047,3,64848,11322,118374,110,19,201,FR,France
200046,3,20598,14053,27143,35,24,46,FR,France
200045,3,25375,17229,33521,43,29,57,FR,France
200044,3,16330,9762,22898,28,17,39,FR,France
200043,3,36951,27693,46209,63,47,79,FR,France
200042,3,41200,30772,51628,70,52,88,FR,France
200041,3,40022,30939,49105,68,53,83,FR,France
200040,3,27237,19986,34488,46,34,58,FR,France
200039,3,19338,12649,26027,33,22,44,FR,France
200038,3,7417,3193,11641,13,6,20,FR,France
200037,3,2243,0,4722,4,0,8,FR,France
200036,3,2990,0,6416,5,0,11,FR,France
200035,3,5590,0,12003,10,0,21,FR,France
200034,3,5188,0,12418,9,0,21,FR,France
200033,3,1690,0,3859,3,0,7,FR,France
200032,3,1405,0,4239,2,0,7,FR,France
200031,3,2159,0,4744,4,0,8,FR,France
200030,3,218,0,783,0,0,1,FR,France
200029,3,1532,0,3751,3,0,7,FR,France
200028,3,1071,0,2881,2,0,5,FR,France
200027,3,2427,150,4704,4,0,8,FR,France
200026,3,1997,0,4996,3,0,8,FR,France
200025,3,4239,221,8257,7,0,14,FR,France
200024,3,5411,1122,9700,9,2,16,FR,France
200023,3,8757,4101,13413,15,7,23,FR,France
200022,3,4966,1694,8238,8,2,14,FR,France
200021,3,4271,1389,7153,7,2,12,FR,France
200020,3,4520,1478,7562,8,3,13,FR,France
200019,3,13867,8548,19186,24,15,33,FR,France
200018,3,5386,2261,8511,9,4,14,FR,France
200017,3,7018,1581,12455,12,3,21,FR,France
200016,3,5328,1433,9223,9,2,16,FR,France
200015,3,12020,6436,17604,20,11,29,FR,France
200014,3,10942,5691,16193,19,10,28,FR,France
200013,3,8572,3443,13701,15,6,24,FR,France
200012,3,7081,3097,11065,12,5,19,FR,France
200011,3,12172,7447,16897,21,13,29,FR,France
200010,3,9091,5450,12732,15,9,21,FR,France
200009,3,14631,9200,20062,25,16,34,FR,France
200008,3,23647,17172,30122,40,29,51,FR,France
200007,3,59173,48440,69906,101,83,119,FR,France
200006,3,146517,129961,163073,249,221,277,FR,France
200005,3,261687,239983,283391,445,408,482,FR,France
200004,3,374822,349785,399859,637,594,680,FR,France
200003,3,484233,456706,511760,824,777,871,FR,France
200002,3,521069,492185,549953,886,837,935,FR,France
200001,3,541945,511326,572564,922,870,974,FR,France
199952,3,387655,360652,414658,663,617,709,FR,France
199951,3,272075,250906,293244,465,429,501,FR,France
199950,3,181113,164571,197655,310,282,338,FR,France
199949,3,112328,99058,125598,192,169,215,FR,France
199948,3,58710,48651,68769,100,83,117,FR,France
199947,3,35912,23462,48362,61,40,82,FR,France
199946,3,8601,1503,15699,15,3,27,FR,France
199945,3,17781,10817,24745,30,18,42,FR,France
199944,3,18238,12870,23606,31,22,40,FR,France
199943,3,18135,12601,23669,31,22,40,FR,France
199942,3,19183,13258,25108,33,23,43,FR,France
199941,3,25171,18689,31653,43,32,54,FR,France
199940,3,24185,16184,32186,41,27,55,FR,France
199939,3,28553,20776,36330,49,36,62,FR,France
199938,3,12430,7759,17101,21,13,29,FR,France
199937,3,7543,4283,10803,13,7,19,FR,France
199936,3,8191,2827,13555,14,5,23,FR,France
199935,3,3334,1188,5480,6,2,10,FR,France
199934,3,7600,0,27730,13,0,47,FR,France
199933,3,9757,354,19160,17,1,33,FR,France
199932,3,7149,0,15077,12,0,26,FR,France
199931,3,2640,0,5463,5,0,10,FR,France
199930,3,1478,0,3153,3,0,6,FR,France
199929,3,3983,498,7468,7,1,13,FR,France
199928,3,3731,712,6750,6,1,11,FR,France
199927,3,5004,1597,8411,9,3,15,FR,France
199926,3,3459,699,6219,6,1,11,FR,France
199925,3,5302,2057,8547,9,3,15,FR,France
199924,3,4327,1646,7008,7,2,12,FR,France
199923,3,5370,2374,8366,9,4,14,FR,France
199922,3,4404,1643,7165,8,3,13,FR,France
199921,3,4180,1485,6875,7,2,12,FR,France
199920,3,6073,2775,9371,10,4,16,FR,France
199919,3,6241,3220,9262,11,6,16,FR,France
199918,3,3057,678,5436,5,1,9,FR,France
199917,3,2904,701,5107,5,1,9,FR,France
199916,3,7539,3360,11718,13,6,20,FR,France
199915,3,11535,6814,16256,20,12,28,FR,France
199914,3,18730,13131,24329,32,22,42,FR,France
199913,3,38453,29560,47346,66,51,81,FR,France
199912,3,58090,48072,68108,99,82,116,FR,France
199911,3,91329,78686,103972,156,134,178,FR,France
199910,3,147976,131058,164894,253,224,282,FR,France
199909,3,207450,188710,226190,355,323,387,FR,France
199908,3,313293,292280,334306,536,500,572,FR,France
199907,3,524136,496702,551570,896,849,943,FR,France
199906,3,493908,466605,521211,844,797,891,FR,France
199905,3,476884,449696,504072,815,769,861,FR,France
199904,3,368514,345131,391897,630,590,670,FR,France
199903,3,242388,224208,260568,414,383,445,FR,France
199902,3,160657,145209,176105,275,249,301,FR,France
199901,3,130133,115125,145141,222,196,248,FR,France
199853,3,107611,92301,122921,185,159,211,FR,France
199852,3,72373,61032,83714,124,105,143,FR,France
199851,3,78179,67156,89202,134,115,153,FR,France
199850,3,54775,45478,64072,94,78,110,FR,France
199849,3,33385,26332,40438,57,45,69,FR,France
199848,3,22636,16668,28604,39,29,49,FR,France
199847,3,14505,9746,19264,25,17,33,FR,France
199846,3,13804,9049,18559,24,16,32,FR,France
199845,3,13021,8113,17929,22,14,30,FR,France
199844,3,12631,7410,17852,22,13,31,FR,France
199843,3,12180,7125,17235,21,12,30,FR,France
199842,3,18885,12726,25044,32,21,43,FR,France
199841,3,24196,17506,30886,42,31,53,FR,France
199840,3,20235,14114,26356,35,25,45,FR,France
199839,3,17075,11538,22612,29,20,38,FR,France
199838,3,10837,6336,15338,19,11,27,FR,France
199837,3,6968,3227,10709,12,6,18,FR,France
199836,3,3033,580,5486,5,1,9,FR,France
199835,3,2491,0,5022,4,0,8,FR,France
199834,3,3853,589,7117,7,1,13,FR,France
199833,3,2934,0,6598,5,0,11,FR,France
199832,3,1308,0,2894,2,0,5,FR,France
199831,3,12147,0,29237,21,0,50,FR,France
199830,3,5309,1628,8990,9,3,15,FR,France
199829,3,6486,2465,10507,11,4,18,FR,France
199828,3,9577,4464,14690,16,7,25,FR,France
199827,3,12358,7158,17558,21,12,30,FR,France
199826,3,10415,6547,14283,18,11,25,FR,France
199825,3,18246,13050,23442,31,22,40,FR,France
199824,3,16263,11126,21400,28,19,37,FR,France
199823,3,8553,4911,12195,15,9,21,FR,France
199822,3,5181,2669,7693,9,5,13,FR,France
199821,3,4751,2416,7086,8,4,12,FR,France
199820,3,12129,8099,16159,21,14,28,FR,France
199819,3,24118,17906,30330,41,30,52,FR,France
199818,3,31612,24512,38712,54,42,66,FR,France
199817,3,61148,51894,70402,105,89,121,FR,France
199816,3,123195,109878,136512,211,188,234,FR,France
199815,3,171603,156715,186491,294,268,320,FR,France
199814,3,319092,298398,339786,547,512,582,FR,France
199813,3,298212,278513,317911,512,478,546,FR,France
199812,3,263585,246356,280814,452,422,482,FR,France
199811,3,220578,204894,236262,378,351,405,FR,France
199810,3,202354,186304,218404,347,319,375,FR,France
199809,3,227553,209970,245136,390,360,420,FR,France
199808,3,271362,252005,290719,465,432,498,FR,France
199807,3,190187,173694,206680,326,298,354,FR,France
199806,3,88217,76829,99605,151,131,171,FR,France
199805,3,45180,36970,53390,77,63,91,FR,France
199804,3,30005,23272,36738,51,39,63,FR,France
199803,3,23900,18221,29579,41,31,51,FR,France
199802,3,31143,23994,38292,53,41,65,FR,France
199801,3,24809,17786,31832,43,31,55,FR,France
199752,3,29039,21984,36094,50,38,62,FR,France
199751,3,34924,27737,42111,60,48,72,FR,France
199750,3,33527,26388,40666,58,46,70,FR,France
199749,3,15978,11147,20809,27,19,35,FR,France
199748,3,11507,7744,15270,20,14,26,FR,France
199747,3,11059,7151,14967,19,12,26,FR,France
199746,3,8073,4613,11533,14,8,20,FR,France
199745,3,18202,13113,23291,31,22,40,FR,France
199744,3,19770,14405,25135,34,25,43,FR,France
199743,3,16707,11945,21469,29,21,37,FR,France
199742,3,15340,10351,20329,26,17,35,FR,France
199741,3,16933,11941,21925,29,20,38,FR,France
199740,3,13292,8709,17875,23,15,31,FR,France
199739,3,10189,6279,14099,18,11,25,FR,France
199738,3,3231,1061,5401,6,2,10,FR,France
199737,3,4542,1949,7135,8,4,12,FR,France
199736,3,5131,2205,8057,9,4,14,FR,France
199735,3,1842,0,3740,3,0,6,FR,France
199734,3,3226,0,6717,6,0,12,FR,France
199733,3,1799,0,4368,3,0,7,FR,France
199732,3,2086,0,4411,4,0,8,FR,France
199731,3,1386,0,3332,2,0,5,FR,France
199730,3,2116,0,4919,4,0,9,FR,France
199729,3,1973,0,4347,3,0,7,FR,France
199728,3,1560,216,2904,3,1,5,FR,France
199727,3,2540,754,4326,4,1,7,FR,France
199726,3,5582,2699,8465,10,5,15,FR,France
199725,3,4012,1090,6934,7,2,12,FR,France
199724,3,4696,1824,7568,8,3,13,FR,France
199723,3,4709,2136,7282,8,4,12,FR,France
199722,3,2283,665,3901,4,1,7,FR,France
199721,3,2108,664,3552,4,2,6,FR,France
199720,3,3257,1519,4995,6,3,9,FR,France
199719,3,4646,2436,6856,8,4,12,FR,France
199718,3,5246,2764,7728,9,5,13,FR,France
199717,3,14236,9906,18566,24,17,31,FR,France
199716,3,12169,8111,16227,21,14,28,FR,France
199715,3,9516,6192,12840,16,10,22,FR,France
199714,3,13602,9659,17545,23,16,30,FR,France
199713,3,18032,13345,22719,31,23,39,FR,France
199712,3,17199,12707,21691,30,22,38,FR,France
199711,3,19988,15419,24557,34,26,42,FR,France
199710,3,21903,17338,26468,38,30,46,FR,France
199709,3,29860,24261,35459,51,41,61,FR,France
199708,3,55445,47857,63033,95,82,108,FR,France
199707,3,70876,62518,79234,122,108,136,FR,France
199706,3,76906,68152,85660,132,117,147,FR,France
199705,3,95900,86095,105705,165,148,182,FR,France
199704,3,96896,87079,106713,167,150,184,FR,France
199703,3,143844,131917,155771,248,227,269,FR,France
199702,3,211578,197395,225761,364,340,388,FR,France
199701,3,280440,263783,297097,483,454,512,FR,France
199652,3,388201,369211,407191,670,637,703,FR,France
199651,3,640627,617388,663866,1106,1066,1146,FR,France
199650,3,535205,514568,555842,924,888,960,FR,France
199649,3,411498,393335,429661,710,679,741,FR,France
199648,3,195568,182563,208573,338,316,360,FR,France
199647,3,71980,63619,80341,124,110,138,FR,France
199646,3,32138,26358,37918,55,45,65,FR,France
199645,3,25551,20136,30966,44,35,53,FR,France
199644,3,10753,7230,14276,19,13,25,FR,France
199643,3,12971,9311,16631,22,16,28,FR,France
199642,3,11929,8472,15386,21,15,27,FR,France
199641,3,9918,6674,13162,17,11,23,FR,France
199640,3,10765,7067,14463,19,13,25,FR,France
199639,3,8377,5183,11571,14,8,20,FR,France
199638,3,9470,5965,12975,16,10,22,FR,France
199637,3,2925,829,5021,5,1,9,FR,France
199636,3,1122,23,2221,2,0,4,FR,France
199635,3,1674,93,3255,3,0,6,FR,France
199634,3,1273,122,2424,2,0,4,FR,France
199633,3,540,0,1246,1,0,2,FR,France
199632,3,1453,176,2730,3,1,5,FR,France
199631,3,3010,752,5268,5,1,9,FR,France
199630,3,2992,706,5278,5,1,9,FR,France
199629,3,1559,144,2974,3,1,5,FR,France
199628,3,3109,541,5677,5,1,9,FR,France
199627,3,4456,1595,7317,8,3,13,FR,France
199626,3,2871,1138,4604,5,2,8,FR,France
199625,3,2308,856,3760,4,1,7,FR,France
199624,3,2490,1067,3913,4,2,6,FR,France
199623,3,2819,1262,4376,5,2,8,FR,France
199622,3,4005,1984,6026,7,4,10,FR,France
199621,3,7042,4291,9793,12,7,17,FR,France
199620,3,10619,7365,13873,18,12,24,FR,France
199619,3,11898,8065,15731,21,14,28,FR,France
199618,3,18338,13352,23324,32,23,41,FR,France
199617,3,24954,19100,30808,43,33,53,FR,France
199616,3,29313,23868,34758,51,42,60,FR,France
199615,3,51703,43644,59762,89,75,103,FR,France
199614,3,44414,36774,52054,77,64,90,FR,France
199613,3,30622,25062,36182,53,43,63,FR,France
199612,3,31818,25852,37784,55,45,65,FR,France
199611,3,24427,19499,29355,42,33,51,FR,France
199610,3,20910,16198,25622,36,28,44,FR,France
199609,3,19594,15228,23960,34,26,42,FR,France
199608,3,19046,14850,23242,33,26,40,FR,France
199607,3,23041,18338,27744,40,32,48,FR,France
199606,3,21810,17153,26467,38,30,46,FR,France
199605,3,25275,20410,30140,44,36,52,FR,France
199604,3,43359,36948,49770,75,64,86,FR,France
199603,3,54691,48016,61366,94,82,106,FR,France
199602,3,105606,96106,115106,182,166,198,FR,France
199601,3,223830,209274,238386,386,361,411,FR,France
199552,3,397122,378252,415992,688,655,721,FR,France
199551,3,749988,725434,774542,1299,1256,1342,FR,France
199550,3,604926,583100,626752,1047,1009,1085,FR,France
199549,3,375500,358200,392800,650,620,680,FR,France
199548,3,206446,193457,219435,357,335,379,FR,France
199547,3,120472,110526,130418,209,192,226,FR,France
199546,3,62380,55042,69718,108,95,121,FR,France
199545,3,29791,24523,35059,52,43,61,FR,France
199544,3,13168,9820,16516,23,17,29,FR,France
199543,3,16188,12389,19987,28,21,35,FR,France
199542,3,15178,11387,18969,26,19,33,FR,France
199541,3,14980,10851,19109,26,19,33,FR,France
199540,3,16245,11610,20880,28,20,36,FR,France
199539,3,18499,13844,23154,32,24,40,FR,France
199538,3,13123,9410,16836,23,17,29,FR,France
199537,3,4895,2666,7124,8,4,12,FR,France
199536,3,3659,1574,5744,6,2,10,FR,France
199535,3,2496,644,4348,4,1,7,FR,France
199534,3,1887,214,3560,3,0,6,FR,France
199533,3,905,0,2007,2,0,4,FR,France
199532,3,700,0,1699,1,0,3,FR,France
199531,3,1946,92,3800,3,0,6,FR,France
199530,3,1898,46,3750,3,0,6,FR,France
199529,3,2148,687,3609,4,1,7,FR,France
199528,3,3312,1430,5194,6,3,9,FR,France
199527,3,4853,2683,7023,8,4,12,FR,France
199526,3,4986,2911,7061,9,5,13,FR,France
199525,3,4571,2520,6622,8,4,12,FR,France
199524,3,8058,5054,11062,14,9,19,FR,France
199523,3,13820,9801,17839,24,17,31,FR,France
199522,3,14124,9999,18249,24,17,31,FR,France
199521,3,11931,8655,15207,21,15,27,FR,France
199520,3,18846,14311,23381,33,25,41,FR,France
199519,3,26261,21488,31034,45,37,53,FR,France
199518,3,39231,33258,45204,68,58,78,FR,France
199517,3,88640,79343,97937,153,137,169,FR,France
199516,3,140488,129439,151537,243,224,262,FR,France
199515,3,181007,169110,192904,313,292,334,FR,France
199514,3,248704,235144,262264,431,408,454,FR,France
199513,3,209839,197191,222487,363,341,385,FR,France
199512,3,122434,112497,132371,212,195,229,FR,France
199511,3,81730,73346,90114,142,127,157,FR,France
199510,3,49387,42703,56071,86,74,98,FR,France
199509,3,39696,33259,46133,69,58,80,FR,France
199508,3,38008,32225,43791,66,56,76,FR,France
199507,3,30550,25479,35621,53,44,62,FR,France
199506,3,37351,32007,42695,65,56,74,FR,France
199505,3,27876,23218,32534,48,40,56,FR,France
199504,3,27643,22818,32468,48,40,56,FR,France
199503,3,24844,20391,29297,43,35,51,FR,France
199502,3,23480,19249,27711,41,34,48,FR,France
199501,3,26556,21916,31196,46,38,54,FR,France
199452,3,22036,17495,26577,38,30,46,FR,France
199451,3,26912,21750,32074,47,38,56,FR,France
199450,3,28831,23470,34192,50,41,59,FR,France
199449,3,21161,16559,25763,37,29,45,FR,France
199448,3,18487,14456,22518,32,25,39,FR,France
199447,3,15206,11578,18834,26,20,32,FR,France
199446,3,14252,10525,17979,25,19,31,FR,France
199445,3,12152,8448,15856,21,15,27,FR,France
199444,3,11307,7688,14926,20,14,26,FR,France
199443,3,11254,8002,14506,20,14,26,FR,France
199442,3,14406,10653,18159,25,18,32,FR,France
199441,3,14073,10341,17805,24,18,30,FR,France
199440,3,15962,11850,20074,28,21,35,FR,France
199439,3,15878,11643,20113,28,21,35,FR,France
199438,3,15366,11100,19632,27,20,34,FR,France
199437,3,5949,3561,8337,10,6,14,FR,France
199436,3,2806,1133,4479,5,2,8,FR,France
199435,3,4556,2358,6754,8,4,12,FR,France
199434,3,3459,1444,5474,6,2,10,FR,France
199433,3,4272,977,7567,7,1,13,FR,France
199432,3,4786,1613,7959,8,2,14,FR,France
199431,3,5027,1580,8474,9,3,15,FR,France
199430,3,2100,520,3680,4,1,7,FR,France
199429,3,1188,0,2384,2,0,4,FR,France
199428,3,1581,316,2846,3,1,5,FR,France
199427,3,713,0,1459,1,0,2,FR,France
199426,3,990,80,1900,2,0,4,FR,France
199425,3,5431,3222,7640,9,5,13,FR,France
199424,3,6288,3723,8853,11,7,15,FR,France
199423,3,6440,1052,11828,11,2,20,FR,France
199422,3,845,0,2449,1,0,4,FR,France
199421,3,2197,395,3999,4,1,7,FR,France
199420,3,2217,852,3582,4,2,6,FR,France
199419,3,1483,406,2560,3,1,5,FR,France
199418,3,3705,1940,5470,6,3,9,FR,France
199417,3,2288,1064,3512,4,2,6,FR,France
199416,3,5156,3176,7136,9,6,12,FR,France
199415,3,6952,4678,9226,12,8,16,FR,France
199414,3,4671,2784,6558,8,5,11,FR,France
199413,3,3343,1641,5045,6,3,9,FR,France
199412,3,4305,2412,6198,7,4,10,FR,France
199411,3,5399,3327,7471,9,5,13,FR,France
199410,3,4548,2529,6567,8,4,12,FR,France
199409,3,5635,3251,8019,10,6,14,FR,France
199408,3,9539,6652,12426,17,12,22,FR,France
199407,3,14639,11188,18090,25,19,31,FR,France
199406,3,17308,13395,21221,30,23,37,FR,France
199405,3,18489,14290,22688,32,25,39,FR,France
199404,3,23712,19048,28376,41,33,49,FR,France
199403,3,29882,24817,34947,52,43,61,FR,France
199402,3,47402,41415,53389,82,72,92,FR,France
199401,3,118119,108182,128056,205,188,222,FR,France
199352,3,233137,218608,247666,406,381,431,FR,France
199351,3,377472,359792,395152,658,627,689,FR,France
199350,3,627639,607097,648181,1094,1058,1130,FR,France
199349,3,898045,873419,922671,1565,1522,1608,FR,France
199348,3,527582,507752,547412,920,885,955,FR,France
199347,3,241371,226769,255973,421,396,446,FR,France
199346,3,76034,68003,84065,133,119,147,FR,France
199345,3,32289,27022,37556,56,47,65,FR,France
199344,3,17832,14015,21649,31,24,38,FR,France
199343,3,15098,11333,18863,26,19,33,FR,France
199342,3,19187,14893,23481,33,26,40,FR,France
199341,3,18285,14384,22186,32,25,39,FR,France
199340,3,13805,10348,17262,24,18,30,FR,France
199339,3,14783,11173,18393,26,20,32,FR,France
199338,3,10492,7329,13655,18,12,24,FR,France
199337,3,7023,4503,9543,12,8,16,FR,France
199336,3,4361,2445,6277,8,5,11,FR,France
199335,3,5589,3066,8112,10,6,14,FR,France
199334,3,2984,1209,4759,5,2,8,FR,France
199333,3,3217,758,5676,6,2,10,FR,France
199332,3,3755,1051,6459,7,2,12,FR,France
199331,3,4163,1768,6558,7,3,11,FR,France
199330,3,4055,1907,6203,7,3,11,FR,France
199329,3,3714,1668,5760,6,2,10,FR,France
199328,3,1774,484,3064,3,1,5,FR,France
199327,3,2574,918,4230,4,1,7,FR,France
199326,3,3048,1450,4646,5,2,8,FR,France
199325,3,8348,5260,11436,15,10,20,FR,France
199324,3,6624,3747,9501,12,7,17,FR,France
199323,3,7424,4302,10546,13,8,18,FR,France
199322,3,3432,1849,5015,6,3,9,FR,France
199321,3,5942,3670,8214,10,6,14,FR,France
199320,3,5137,3157,7117,9,6,12,FR,France
199319,3,4593,2725,6461,8,5,11,FR,France
199318,3,5027,3075,6979,9,6,12,FR,France
199317,3,8111,5138,11084,14,9,19,FR,France
199316,3,24932,19468,30396,43,33,53,FR,France
199315,3,22181,17147,27215,39,30,48,FR,France
199314,3,38266,30865,45667,67,54,80,FR,France
199313,3,62987,54506,71468,110,95,125,FR,France
199312,3,63493,55956,71030,111,98,124,FR,France
199311,3,80548,72628,88468,140,126,154,FR,France
199310,3,127910,117688,138132,223,205,241,FR,France
199309,3,184150,171378,196922,321,299,343,FR,France
199308,3,222932,209051,236813,389,365,413,FR,France
199307,3,248494,234936,262052,433,409,457,FR,France
199306,3,286939,271830,302048,500,474,526,FR,France
199305,3,255890,241516,270264,446,421,471,FR,France
199304,3,193107,181261,204953,337,316,358,FR,France
199303,3,147854,137256,158452,258,240,276,FR,France
199302,3,90269,82164,98374,157,143,171,FR,France
199301,3,75288,67244,83332,131,117,145,FR,France
199253,3,56622,49107,64137,99,86,112,FR,France
199252,3,49588,42568,56608,87,75,99,FR,France
199251,3,41156,35024,47288,72,61,83,FR,France
199250,3,40100,34699,45501,70,61,79,FR,France
199249,3,39146,33847,44445,69,60,78,FR,France
199248,3,32392,27499,37285,57,48,66,FR,France
199247,3,26276,21797,30755,46,38,54,FR,France
199246,3,22758,18462,27054,40,32,48,FR,France
199245,3,22023,17804,26242,39,32,46,FR,France
199244,3,27619,22945,32293,48,40,56,FR,France
199243,3,24969,20704,29234,44,37,51,FR,France
199242,3,29980,25261,34699,52,44,60,FR,France
199241,3,24091,19953,28229,42,35,49,FR,France
199240,3,17593,13885,21301,31,25,37,FR,France
199239,3,13535,10301,16769,24,18,30,FR,France
199238,3,9837,7106,12568,17,12,22,FR,France
199237,3,7480,5130,9830,13,9,17,FR,France
199236,3,5155,2958,7352,9,5,13,FR,France
199235,3,6383,3687,9079,11,6,16,FR,France
199234,3,2953,922,4984,5,1,9,FR,France
199233,3,4046,1549,6543,7,3,11,FR,France
199232,3,4963,2215,7711,9,4,14,FR,France
199231,3,4233,1733,6733,7,3,11,FR,France
199230,3,3091,1145,5037,5,2,8,FR,France
199229,3,3586,1583,5589,6,2,10,FR,France
199228,3,4179,2133,6225,7,3,11,FR,France
199227,3,5568,3134,8002,10,6,14,FR,France
199226,3,5886,3229,8543,10,5,15,FR,France
199225,3,5304,2805,7803,9,5,13,FR,France
199224,3,5928,3482,8374,10,6,14,FR,France
199223,3,3914,1855,5973,7,3,11,FR,France
199222,3,4899,2641,7157,9,5,13,FR,France
199221,3,5059,2889,7229,9,5,13,FR,France
199220,3,4308,2226,6390,8,4,12,FR,France
199219,3,2982,1181,4783,5,2,8,FR,France
199218,3,3887,1777,5997,7,3,11,FR,France
199217,3,3614,1216,6012,6,2,10,FR,France
199216,3,5460,2934,7986,10,6,14,FR,France
199215,3,8642,5029,12255,15,9,21,FR,France
199214,3,11346,7536,15156,20,13,27,FR,France
199213,3,11693,8096,15290,20,14,26,FR,France
199212,3,11752,7834,15670,21,14,28,FR,France
199211,3,11689,7575,15803,20,13,27,FR,France
199210,3,19224,12971,25477,34,23,45,FR,France
199209,3,26629,20275,32983,47,36,58,FR,France
199208,3,37667,30887,44447,66,54,78,FR,France
199207,3,57312,48777,65847,100,85,115,FR,France
199206,3,112450,99989,124911,197,175,219,FR,France
199205,3,165474,151342,179606,290,265,315,FR,France
199204,3,147959,133595,162323,259,234,284,FR,France
199203,3,137893,122944,152842,241,215,267,FR,France
199202,3,185852,166558,205146,325,291,359,FR,France
199201,3,247688,222574,272802,434,390,478,FR,France
199152,3,349815,325499,374131,615,572,658,FR,France
199151,3,378413,355928,400898,666,626,706,FR,France
199150,3,198721,182878,214564,350,322,378,FR,France
199149,3,93903,82992,104814,165,146,184,FR,France
199148,3,45173,37384,52962,79,65,93,FR,France
199147,3,35691,28224,43158,63,50,76,FR,France
199146,3,23685,17531,29839,42,31,53,FR,France
199145,3,19565,13551,25579,34,23,45,FR,France
199144,3,21571,15477,27665,38,27,49,FR,France
199143,3,28842,21958,35726,51,39,63,FR,France
199142,3,27483,20385,34581,48,36,60,FR,France
199141,3,28185,20655,35715,50,37,63,FR,France
199140,3,26740,16049,37431,47,28,66,FR,France
199139,3,14373,8734,20012,25,15,35,FR,France
199138,3,7460,3700,11220,13,6,20,FR,France
199137,3,2429,434,4424,4,0,8,FR,France
199136,3,2380,0,4882,4,0,8,FR,France
199135,3,2372,0,5025,4,0,9,FR,France
199134,3,2099,0,5104,4,0,9,FR,France
199133,3,1654,0,4102,3,0,7,FR,France
199132,3,625,0,2190,1,0,4,FR,France
199131,3,2464,0,5830,4,0,10,FR,France
199130,3,2382,0,6857,4,0,12,FR,France
199129,3,3837,40,7634,7,0,14,FR,France
199128,3,3297,152,6442,6,0,12,FR,France
199127,3,3164,934,5394,6,2,10,FR,France
199126,3,6376,3324,9428,11,6,16,FR,France
199125,3,8218,4776,11660,14,8,20,FR,France
199124,3,8223,4660,11786,14,8,20,FR,France
199123,3,6801,3596,10006,12,6,18,FR,France
199122,3,6050,2682,9418,11,5,17,FR,France
199121,3,6391,3385,9397,11,6,16,FR,France
199120,3,8633,4683,12583,15,8,22,FR,France
199119,3,7785,3986,11584,14,7,21,FR,France
199118,3,10856,6457,15255,19,11,27,FR,France
199117,3,15603,10950,20256,27,19,35,FR,France
199116,3,15665,11184,20146,28,20,36,FR,France
199115,3,15062,10715,19409,26,18,34,FR,France
199114,3,27862,21583,34141,49,38,60,FR,France
199113,3,32179,25829,38529,57,46,68,FR,France
199112,3,27873,22312,33434,49,39,59,FR,France
199111,3,46186,38876,53496,81,68,94,FR,France
199110,3,88750,77784,99716,156,137,175,FR,France
199109,3,139093,124326,153860,245,219,271,FR,France
199108,3,216369,198630,234108,381,350,412,FR,France
199107,3,208836,191789,225883,367,337,397,FR,France
199106,3,134737,121280,148194,237,213,261,FR,France
199105,3,73564,62716,84412,129,110,148,FR,France
199104,3,48253,39031,57475,85,69,101,FR,France
199103,3,29382,22258,36506,52,39,65,FR,France
199102,3,29759,22044,37474,52,38,66,FR,France
199101,3,42927,33706,52148,76,60,92,FR,France
199052,3,41262,31607,50917,73,56,90,FR,France
199051,3,46924,37544,56304,83,66,100,FR,France
199050,3,44125,36137,52113,78,64,92,FR,France
199049,3,38379,30603,46155,68,54,82,FR,France
199048,3,29571,22315,36827,52,39,65,FR,France
199047,3,23358,15890,30826,41,28,54,FR,France
199046,3,20246,7930,32562,36,14,58,FR,France
199045,3,17571,11591,23551,31,20,42,FR,France
199044,3,16182,10305,22059,29,19,39,FR,France
199043,3,17579,11588,23570,31,20,42,FR,France
199042,3,13011,7875,18147,23,14,32,FR,France
199041,3,19723,13330,26116,35,24,46,FR,France
199040,3,20433,14614,26252,36,26,46,FR,France
199039,3,15618,10315,20921,28,19,37,FR,France
199038,3,11146,6197,16095,20,11,29,FR,France
199037,3,4051,1022,7080,7,2,12,FR,France
199036,3,2542,124,4960,4,0,8,FR,France
199035,3,934,0,2681,2,0,5,FR,France
199034,3,201,0,595,0,0,1,FR,France
199033,3,0,0,0,0,0,0,FR,France
199032,3,1399,0,3849,2,0,6,FR,France
199031,3,881,0,2206,2,0,4,FR,France
199030,3,425,0,1262,1,0,2,FR,France
199029,3,1077,0,2643,2,0,5,FR,France
199028,3,959,0,2252,2,0,4,FR,France
199027,3,2948,793,5103,5,1,9,FR,France
199026,3,7236,2651,11821,13,5,21,FR,France
199025,3,7879,3136,12622,14,6,22,FR,France
199024,3,5727,2460,8994,10,4,16,FR,France
199023,3,3655,1043,6267,6,1,11,FR,France
199022,3,4196,1292,7100,7,2,12,FR,France
199021,3,1004,0,2367,2,0,4,FR,France
199020,3,4506,1771,7241,8,3,13,FR,France
199019,3,5897,2440,9354,10,4,16,FR,France
199018,3,1738,141,3335,3,0,6,FR,France
199017,3,5278,2197,8359,9,4,14,FR,France
199016,3,8129,3754,12504,14,6,22,FR,France
199015,3,11707,5831,17583,21,11,31,FR,France
199014,3,12862,8177,17547,23,15,31,FR,France
199013,3,21879,15088,28670,39,27,51,FR,France
199012,3,17035,11135,22935,30,20,40,FR,France
199011,3,20018,14311,25725,35,25,45,FR,France
199010,3,16294,11045,21543,29,20,38,FR,France
199009,3,21793,15460,28126,39,28,50,FR,France
199008,3,26110,19342,32878,46,34,58,FR,France
199007,3,61742,49720,73764,109,88,130,FR,France
199006,3,399984,353345,446623,707,625,789,FR,France
199005,3,161765,146354,177176,286,259,313,FR,France
199004,3,287771,267698,307844,509,474,544,FR,France
199003,3,315466,296550,334382,558,525,591,FR,France
199002,3,345060,326087,364033,610,576,644,FR,France
199001,3,483600,460913,506287,855,815,895,FR,France
198952,3,581149,556023,606275,1035,990,1080,FR,France
198951,3,821540,793846,849234,1463,1414,1512,FR,France
198950,3,749283,723633,774933,1334,1288,1380,FR,France
198949,3,358043,340053,376033,638,606,670,FR,France
198948,3,119087,108253,129921,212,193,231,FR,France
198947,3,40963,33897,48029,73,60,86,FR,France
198946,3,23547,17952,29142,42,32,52,FR,France
198945,3,22711,16999,28423,40,30,50,FR,France
198944,3,23405,17475,29335,42,31,53,FR,France
198943,3,29549,23287,35811,53,42,64,FR,France
198942,3,39410,32172,46648,70,57,83,FR,France
198941,3,43763,35245,52281,78,63,93,FR,France
198940,3,31453,24288,38618,56,43,69,FR,France
198939,3,24622,18425,30819,44,33,55,FR,France
198938,3,18296,13483,23109,33,24,42,FR,France
198937,3,12022,8082,15962,21,14,28,FR,France
198936,3,4769,2299,7239,8,4,12,FR,France
198935,3,4661,1696,7626,8,3,13,FR,France
198934,3,6039,2185,9893,11,4,18,FR,France
198933,3,7940,3858,12022,14,7,21,FR,France
198932,3,7114,2361,11867,13,5,21,FR,France
198931,3,2721,0,5478,5,0,10,FR,France
198930,3,3168,561,5775,6,1,11,FR,France
198929,3,3909,1504,6314,7,3,11,FR,France
198928,3,1284,105,2463,2,0,4,FR,France
198927,3,3641,1350,5932,6,2,10,FR,France
198926,3,5753,2885,8621,10,5,15,FR,France
198925,3,6299,3454,9144,11,6,16,FR,France
198924,3,6337,3537,9137,11,6,16,FR,France
198923,3,11779,7984,15574,21,14,28,FR,France
198922,3,9104,4764,13444,16,8,24,FR,France
198921,3,9554,4316,14792,17,8,26,FR,France
198920,3,6093,1023,11163,11,2,20,FR,France
198919,3,0,,,0,,,FR,France
198918,3,13452,1365,25539,24,2,46,FR,France
198917,3,10949,7147,14751,19,12,26,FR,France
198916,3,10908,7494,14322,19,13,25,FR,France
198915,3,9667,6209,13125,17,11,23,FR,France
198914,3,15230,10469,19991,27,19,35,FR,France
198913,3,10564,6767,14361,19,12,26,FR,France
198912,3,13419,9542,17296,24,17,31,FR,France
198911,3,16633,12140,21126,30,22,38,FR,France
198910,3,12387,8750,16024,22,16,28,FR,France
198909,3,12895,9183,16607,23,16,30,FR,France
198908,3,19746,15258,24234,35,27,43,FR,France
198907,3,27277,21760,32794,49,39,59,FR,France
198906,3,47844,40320,55368,85,72,98,FR,France
198905,3,52840,45665,60015,94,81,107,FR,France
198904,3,54942,47750,62134,98,85,111,FR,France
198903,3,66010,58065,73955,118,104,132,FR,France
198902,3,112284,102003,122565,200,182,218,FR,France
198901,3,202266,188305,216227,360,335,385,FR,France
198852,3,467971,447033,488909,837,800,874,FR,France
198851,3,872748,846468,899028,1562,1515,1609,FR,France
198850,3,1001824,974799,1028849,1793,1745,1841,FR,France
198849,3,966523,940068,992978,1729,1682,1776,FR,France
198848,3,637811,614785,660837,1141,1100,1182,FR,France
198847,3,246062,231234,260890,440,413,467,FR,France
198846,3,92484,83160,101808,165,148,182,FR,France
198845,3,53940,46148,61732,97,83,111,FR,France
198844,3,42106,35336,48876,75,63,87,FR,France
198843,3,38252,31909,44595,68,57,79,FR,France
198842,3,45495,38467,52523,81,68,94,FR,France
198841,3,46336,39344,53328,83,70,96,FR,France
198840,3,39882,33507,46257,71,60,82,FR,France
198839,3,43730,36755,50705,78,66,90,FR,France
198838,3,35243,29367,41119,63,52,74,FR,France
198837,3,15537,11911,19163,28,22,34,FR,France
198836,3,7539,4840,10238,13,8,18,FR,France
198835,3,7797,4762,10832,14,9,19,FR,France
198834,3,4950,2005,7895,9,4,14,FR,France
198833,3,7937,3861,12013,14,7,21,FR,France
198832,3,7033,2595,11471,13,5,21,FR,France
198831,3,8758,3591,13925,16,7,25,FR,France
198830,3,4205,1224,7186,8,3,13,FR,France
198829,3,6103,1013,11193,11,2,20,FR,France
198828,3,8562,3483,13641,15,6,24,FR,France
198827,3,4690,2196,7184,8,4,12,FR,France
198826,3,7065,3905,10225,13,7,19,FR,France
198825,3,7657,4664,10650,14,9,19,FR,France
198824,3,6676,3978,9374,12,7,17,FR,France
198823,3,8695,5755,11635,16,11,21,FR,France
198822,3,11566,8282,14850,21,15,27,FR,France
198821,3,11107,7742,14472,20,14,26,FR,France
198820,3,14118,10223,18013,25,18,32,FR,France
198819,3,18260,13847,22673,33,25,41,FR,France
198818,3,20415,16281,24549,37,30,44,FR,France
198817,3,21750,17436,26064,39,31,47,FR,France
198816,3,33730,27496,39964,60,49,71,FR,France
198815,3,70616,61754,79478,126,110,142,FR,France
198814,3,123868,113211,134525,222,203,241,FR,France
198813,3,193710,181519,205901,347,325,369,FR,France
198812,3,283445,268834,298056,507,481,533,FR,France
198811,3,316175,300858,331492,566,539,593,FR,France
198810,3,235142,222004,248280,421,397,445,FR,France
198809,3,135564,125263,145865,243,225,261,FR,France
198808,3,87753,78449,97057,157,140,174,FR,France
198807,3,77099,68423,85775,138,122,154,FR,France
198806,3,69349,61502,77196,124,110,138,FR,France
198805,3,72705,64952,80458,130,116,144,FR,France
198804,3,72818,64944,80692,130,116,144,FR,France
198803,3,68869,60922,76816,123,109,137,FR,France
198802,3,59743,51907,67579,107,93,121,FR,France
198801,3,60929,52573,69285,109,94,124,FR,France
198753,3,47257,38170,56344,85,69,101,FR,France
198752,3,11935,2353,21517,21,4,38,FR,France
198751,3,47744,34266,61222,86,62,110,FR,France
198750,3,57767,50181,65353,104,90,118,FR,France
198749,3,49380,42461,56299,89,77,101,FR,France
198748,3,41871,35115,48627,75,63,87,FR,France
198747,3,29688,23465,35911,53,42,64,FR,France
198746,3,37216,30199,44233,67,54,80,FR,France
198745,3,35456,29024,41888,64,52,76,FR,France
198744,3,41024,33829,48219,74,61,87,FR,France
198743,3,46356,38370,54342,83,69,97,FR,France
198742,3,38021,30236,45806,68,54,82,FR,France
198741,3,42021,32016,52026,76,58,94,FR,France
198740,3,24641,15930,33352,44,28,60,FR,France
198739,3,32328,23548,41108,58,42,74,FR,France
198738,3,16782,11870,21694,30,21,39,FR,France
198737,3,11208,6542,15874,20,12,28,FR,France
198736,3,7906,4014,11798,14,7,21,FR,France
198735,3,6149,2970,9328,11,5,17,FR,France
198734,3,6631,2734,10528,12,5,19,FR,France
198733,3,6404,1834,10974,12,4,20,FR,France
198732,3,7215,2353,12077,13,4,22,FR,France
198731,3,8233,3655,12811,15,7,23,FR,France
198730,3,4642,1301,7983,8,2,14,FR,France
198729,3,4389,913,7865,8,2,14,FR,France
198728,3,2702,138,5266,5,0,10,FR,France
198727,3,10171,5904,14438,18,10,26,FR,France
198726,3,12341,7824,16858,22,14,30,FR,France
198725,3,23413,15490,31336,42,28,56,FR,France
198724,3,11289,7282,15296,20,13,27,FR,France
198723,3,15857,10943,20771,29,20,38,FR,France
198722,3,14887,9743,20031,27,18,36,FR,France
198721,3,17619,12649,22589,32,23,41,FR,France
198720,3,10344,6454,14234,19,12,26,FR,France
198719,3,12539,7943,17135,23,15,31,FR,France
198718,3,16095,10330,21860,29,19,39,FR,France
198717,3,21256,14850,27662,38,26,50,FR,France
198716,3,32416,25100,39732,58,45,71,FR,France
198715,3,44292,36456,52128,80,66,94,FR,France
198714,3,50642,41866,59418,91,75,107,FR,France
198713,3,62246,52749,71743,112,95,129,FR,France
198712,3,59625,50653,68597,107,91,123,FR,France
198711,3,53561,45035,62087,96,81,111,FR,France
198710,3,93067,80519,105615,167,144,190,FR,France
198709,3,147006,133519,160493,264,240,288,FR,France
198708,3,217779,202179,233379,391,363,419,FR,France
198707,3,288180,270718,305642,518,487,549,FR,France
198706,3,296702,279051,314353,533,501,565,FR,France
198705,3,236046,219483,252609,424,394,454,FR,France
198704,3,158333,143625,173041,285,259,311,FR,France
198703,3,103841,91699,115983,187,165,209,FR,France
198702,3,74213,64014,84412,133,115,151,FR,France
198701,3,69745,59207,80283,125,106,144,FR,France
198652,3,76263,64958,87568,138,118,158,FR,France
198651,3,72920,63047,82793,132,114,150,FR,France
198650,3,73413,64019,82807,133,116,150,FR,France
198649,3,56296,48229,64363,102,87,117,FR,France
198648,3,46031,38578,53484,83,70,96,FR,France
198647,3,36740,29710,43770,66,53,79,FR,France
198646,3,32134,25327,38941,58,46,70,FR,France
198645,3,38964,31382,46546,70,56,84,FR,France
198644,3,28646,22048,35244,52,40,64,FR,France
198643,3,27532,20842,34222,50,38,62,FR,France
198642,3,31815,25124,38506,57,45,69,FR,France
198641,3,32864,25939,39789,59,47,71,FR,France
198640,3,33516,26776,40256,60,48,72,FR,France
198639,3,28665,22477,34853,52,41,63,FR,France
198638,3,26615,20479,32751,48,37,59,FR,France
198637,3,15998,10802,21194,29,20,38,FR,France
198636,3,9182,4982,13382,17,9,25,FR,France
198635,3,10587,4470,16704,19,8,30,FR,France
198634,3,5762,858,10666,10,1,19,FR,France
198633,3,3115,554,5676,6,1,11,FR,France
198632,3,1027,0,2311,2,0,4,FR,France
198631,3,2247,0,4574,4,0,8,FR,France
198630,3,2346,141,4551,4,0,8,FR,France
198629,3,3654,931,6377,7,2,12,FR,France
198628,3,2327,0,5318,4,0,9,FR,France
198627,3,7529,3353,11705,14,6,22,FR,France
198626,3,8778,5106,12450,16,9,23,FR,France
198625,3,11075,6804,15346,20,12,28,FR,France
198624,3,11160,7252,15068,20,13,27,FR,France
198623,3,14372,9896,18848,26,18,34,FR,France
198622,3,9717,5594,13840,18,11,25,FR,France
198621,3,14460,9575,19345,26,17,35,FR,France
198620,3,17133,12106,22160,31,22,40,FR,France
198619,3,22177,16008,28346,40,29,51,FR,France
198618,3,31736,24115,39357,57,43,71,FR,France
198617,3,34874,27440,42308,63,50,76,FR,France
198616,3,41196,32894,49498,74,59,89,FR,France
198615,3,42659,33537,51781,77,61,93,FR,France
198614,3,49792,39728,59856,90,72,108,FR,France
198613,3,87249,63562,110936,157,114,200,FR,France
198612,3,124777,97237,152317,225,175,275,FR,France
198611,3,168146,151035,185257,303,272,334,FR,France
198610,3,257305,231225,283385,464,417,511,FR,France
198609,3,321140,296644,345636,580,536,624,FR,France
198608,3,448786,419219,478353,810,757,863,FR,France
198607,3,490723,460150,521296,886,831,941,FR,France
198606,3,439300,411764,466836,793,743,843,FR,France
198605,3,364727,339868,389586,658,613,703,FR,France
198604,3,348509,322464,374554,629,582,676,FR,France
198603,3,271539,248654,294424,490,449,531,FR,France
198602,3,178138,159344,196932,322,288,356,FR,France
198601,3,112614,96539,128689,203,174,232,FR,France
198552,3,86452,72250,100654,157,131,183,FR,France
198551,3,114666,99538,129794,208,181,235,FR,France
198550,3,86031,73604,98458,156,133,179,FR,France
198549,3,65931,55326,76536,120,101,139,FR,France
198548,3,68291,57581,79001,124,105,143,FR,France
198547,3,66177,55221,77133,120,100,140,FR,France
198546,3,70534,58788,82280,128,107,149,FR,France
198545,3,57514,47167,67861,104,85,123,FR,France
198544,3,67356,55744,78968,122,101,143,FR,France
198543,3,87402,74208,100596,158,134,182,FR,France
198542,3,76218,64604,87832,138,117,159,FR,France
198541,3,45712,36755,54669,83,67,99,FR,France
198540,3,49739,40335,59143,90,73,107,FR,France
198539,3,39819,31234,48404,72,56,88,FR,France
198538,3,27605,20614,34596,50,37,63,FR,France
198537,3,22219,15626,28812,40,28,52,FR,France
198536,3,27986,18992,36980,51,35,67,FR,France
198535,3,30215,18546,41884,55,34,76,FR,France
198534,3,40389,24786,55992,73,45,101,FR,France
198533,3,22611,8819,36403,41,16,66,FR,France
198532,3,7488,1851,13125,14,4,24,FR,France
198531,3,16958,8479,25437,31,16,46,FR,France
198530,3,11598,5507,17689,21,10,32,FR,France
198529,3,13054,6474,19634,24,12,36,FR,France
198528,3,14588,7659,21517,26,13,39,FR,France
198527,3,19670,11761,27579,36,22,50,FR,France
198526,3,18609,12637,24581,34,23,45,FR,France
198525,3,19362,12454,26270,35,22,48,FR,France
198524,3,19855,13577,26133,36,25,47,FR,France
198523,3,19373,10010,28736,35,18,52,FR,France
198522,3,24099,17190,31008,44,31,57,FR,France
198521,3,26096,19621,32571,47,35,59,FR,France
198520,3,27896,20885,34907,51,38,64,FR,France
198519,3,43154,32821,53487,78,59,97,FR,France
198518,3,40555,29935,51175,74,55,93,FR,France
198517,3,34053,24366,43740,62,44,80,FR,France
198516,3,50362,36451,64273,91,66,116,FR,France
198515,3,63881,45538,82224,116,83,149,FR,France
198514,3,134545,114400,154690,244,207,281,FR,France
198513,3,197206,176080,218332,357,319,395,FR,France
198512,3,245240,223304,267176,445,405,485,FR,France
198511,3,276205,252399,300011,501,458,544,FR,France
198510,3,353231,326279,380183,640,591,689,FR,France
198509,3,369895,341109,398681,670,618,722,FR,France
198508,3,389886,359529,420243,707,652,762,FR,France
198507,3,471852,432599,511105,855,784,926,FR,France
198506,3,565825,518011,613639,1026,939,1113,FR,France
198505,3,637302,592795,681809,1155,1074,1236,FR,France
198504,3,424937,390794,459080,770,708,832,FR,France
198503,3,213901,174689,253113,388,317,459,FR,France
198502,3,97586,80949,114223,177,147,207,FR,France
198501,3,85489,65918,105060,155,120,190,FR,France
198452,3,84830,60602,109058,154,110,198,FR,France
198451,3,101726,80242,123210,185,146,224,FR,France
198450,3,123680,101401,145959,225,184,266,FR,France
198449,3,101073,81684,120462,184,149,219,FR,France
198448,3,78620,60634,96606,143,110,176,FR,France
198447,3,72029,54274,89784,131,99,163,FR,France
198446,3,87330,67686,106974,159,123,195,FR,France
198445,3,135223,101414,169032,246,184,308,FR,France
198444,3,68422,20056,116788,125,37,213,FR,France
\ No newline at end of file
module3/data_10.csv 0 → 100644
View file @ e8e42a72
# @source="rseau Sentinelles, INSERM, Sorbonne Universit, http://www.sentiweb.fr", @meta={"period":[198444,202221],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2022-06-04T12:28:03+02:00
week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
202221,3,17538,12255,22821,26,18,34,FR,France
202220,3,20413,16271,24555,31,25,37,FR,France
202219,3,17874,14068,21680,27,21,33,FR,France
202218,3,30353,25089,35617,46,38,54,FR,France
202217,3,36006,30373,41639,54,46,62,FR,France
202216,3,49949,42836,57062,75,64,86,FR,France
202215,3,100806,90824,110788,152,137,167,FR,France
202214,3,155441,143891,166991,234,217,251,FR,France
202213,3,191914,179558,204270,289,270,308,FR,France
202212,3,166224,155035,177413,251,234,268,FR,France
202211,3,122849,113306,132392,185,171,199,FR,France
202210,3,87904,79741,96067,133,121,145,FR,France
202209,3,50182,43958,56406,76,67,85,FR,France
202208,3,30963,25942,35984,47,39,55,FR,France
202207,3,34882,29446,40318,53,45,61,FR,France
202206,3,46623,40398,52848,70,61,79,FR,France
202205,3,62970,56043,69897,95,85,105,FR,France
202204,3,72209,64804,79614,109,98,120,FR,France
202203,3,74613,67144,82082,113,102,124,FR,France
202202,3,55920,49511,62329,84,74,94,FR,France
202201,3,57629,50699,64559,87,77,97,FR,France
202152,3,54349,47029,61669,82,71,93,FR,France
202151,3,41698,35359,48037,63,53,73,FR,France
202150,3,38117,32497,43737,58,49,67,FR,France
202149,3,40168,34716,45620,61,53,69,FR,France
202148,3,41842,36364,47320,63,55,71,FR,France
202147,3,36598,31338,41858,55,47,63,FR,France
202146,3,30059,25302,34816,46,39,53,FR,France
202145,3,20364,16564,24164,31,25,37,FR,France
202144,3,18999,15042,22956,29,23,35,FR,France
202143,3,27040,21935,32145,41,33,49,FR,France
202142,3,28343,23382,33304,43,35,51,FR,France
202141,3,25043,20586,29500,38,31,45,FR,France
202140,3,26286,21842,30730,40,33,47,FR,France
202139,3,22155,18014,26296,34,28,40,FR,France
202138,3,15614,12310,18918,24,19,29,FR,France
202137,3,13673,10404,16942,21,16,26,FR,France
202136,3,10289,7505,13073,16,12,20,FR,France
202135,3,12609,9282,15936,19,14,24,FR,France
202134,3,13081,9540,16622,20,15,25,FR,France
202133,3,10392,7042,13742,16,11,21,FR,France
202132,3,15586,11009,20163,24,17,31,FR,France
202131,3,18855,13664,24046,29,21,37,FR,France
202130,3,13991,9695,18287,21,14,28,FR,France
202129,3,13626,9618,17634,21,15,27,FR,France
202128,3,8636,5430,11842,13,8,18,FR,France
202127,3,10693,6838,14548,16,10,22,FR,France
202126,3,7086,4109,10063,11,6,16,FR,France
202125,3,7942,5540,10344,12,8,16,FR,France
202124,3,4855,3011,6699,7,4,10,FR,France
202123,3,6710,4455,8965,10,7,13,FR,France
202122,3,7879,5495,10263,12,8,16,FR,France
202121,3,7827,5403,10251,12,8,16,FR,France
202120,3,10278,7540,13016,16,12,20,FR,France
202119,3,9539,6860,12218,14,10,18,FR,France
202118,3,12135,9165,15105,18,14,22,FR,France
202117,3,12058,8891,15225,18,13,23,FR,France
202116,3,16505,12735,20275,25,19,31,FR,France
202115,3,19306,15398,23214,29,23,35,FR,France
202114,3,21073,17099,25047,32,26,38,FR,France
202113,3,26413,22094,30732,40,33,47,FR,France
202112,3,30658,25919,35397,46,39,53,FR,France
202111,3,24988,20718,29258,38,32,44,FR,France
202110,3,19539,15951,23127,30,25,35,FR,France
202109,3,17572,13926,21218,27,21,33,FR,France
202108,3,20882,16907,24857,32,26,38,FR,France
202107,3,22393,18303,26483,34,28,40,FR,France
202106,3,23183,19134,27232,35,29,41,FR,France
202105,3,22426,18445,26407,34,28,40,FR,France
202104,3,25804,21491,30117,39,32,46,FR,France
202103,3,21810,17894,25726,33,27,39,FR,France
202102,3,17320,13906,20734,26,21,31,FR,France
202101,3,21799,17778,25820,33,27,39,FR,France
202053,3,21220,16498,25942,32,25,39,FR,France
202052,3,16428,12285,20571,25,19,31,FR,France
202051,3,21619,17370,25868,33,27,39,FR,France
202050,3,16845,13220,20470,26,20,32,FR,France
202049,3,12939,9923,15955,20,15,25,FR,France
202048,3,13804,10641,16967,21,16,26,FR,France
202047,3,19085,15285,22885,29,23,35,FR,France
202046,3,24801,20503,29099,38,31,45,FR,France
202045,3,42516,36857,48175,65,56,74,FR,France
202044,3,44567,38521,50613,68,59,77,FR,France
202043,3,43799,37581,50017,67,58,76,FR,France
202042,3,35183,29847,40519,53,45,61,FR,France
202041,3,27926,23251,32601,42,35,49,FR,France
202040,3,20443,16381,24505,31,25,37,FR,France
202039,3,19810,15900,23720,30,24,36,FR,France
202038,3,25559,21141,29977,39,32,46,FR,France
202037,3,18485,14649,22321,28,22,34,FR,France
202036,3,10390,7646,13134,16,12,20,FR,France
202035,3,9918,6842,12994,15,10,20,FR,France
202034,3,6084,3090,9078,9,4,14,FR,France
202033,3,6106,3411,8801,9,5,13,FR,France
202032,3,5918,3330,8506,9,5,13,FR,France
202031,3,4351,2269,6433,7,4,10,FR,France
202030,3,8179,5442,10916,12,8,16,FR,France
202029,3,8687,5860,11514,13,9,17,FR,France
202028,3,8325,5688,10962,13,9,17,FR,France
202027,3,4066,2406,5726,6,3,9,FR,France
202026,3,4039,2389,5689,6,3,9,FR,France
202025,3,2853,1488,4218,4,2,6,FR,France
202024,3,3058,1690,4426,5,3,7,FR,France
202023,3,4168,2468,5868,6,3,9,FR,France
202022,3,3580,1947,5213,5,3,7,FR,France
202021,3,6114,4026,8202,9,6,12,FR,France
202020,3,9315,6775,11855,14,10,18,FR,France
202019,3,11679,8722,14636,18,14,22,FR,France
202018,3,16398,12851,19945,25,20,30,FR,France
202017,3,18082,14454,21710,27,21,33,FR,France
202016,3,24165,19893,28437,37,31,43,FR,France
202015,3,41049,35377,46721,62,53,71,FR,France
202014,3,71666,64531,78801,109,98,120,FR,France
202013,3,107742,99187,116297,164,151,177,FR,France
202012,3,107283,98610,115956,163,150,176,FR,France
202011,3,112943,104468,121418,172,159,185,FR,France
202010,3,105145,96812,113478,160,147,173,FR,France
202009,3,110696,102066,119326,168,155,181,FR,France
202008,3,143753,133984,153522,218,203,233,FR,France
202007,3,183610,172812,194408,279,263,295,FR,France
202006,3,206669,195481,217857,314,297,331,FR,France
202005,3,187957,177445,198469,285,269,301,FR,France
202004,3,122331,113492,131170,186,173,199,FR,France
202003,3,78413,71330,85496,119,108,130,FR,France
202002,3,53614,47654,59574,81,72,90,FR,France
202001,3,36850,31608,42092,56,48,64,FR,France
201952,3,28135,23220,33050,43,36,50,FR,France
201951,3,29786,25042,34530,45,38,52,FR,France
201950,3,34223,29156,39290,52,44,60,FR,France
201949,3,25662,21414,29910,39,33,45,FR,France
201948,3,22367,18055,26679,34,27,41,FR,France
201947,3,18669,14759,22579,28,22,34,FR,France
201946,3,16030,12567,19493,24,19,29,FR,France
201945,3,10138,7160,13116,15,10,20,FR,France
201944,3,7822,5010,10634,12,8,16,FR,France
201943,3,9487,6448,12526,14,9,19,FR,France
201942,3,7747,5243,10251,12,8,16,FR,France
201941,3,7122,4720,9524,11,7,15,FR,France
201940,3,8505,5784,11226,13,9,17,FR,France
201939,3,7091,4462,9720,11,7,15,FR,France
201938,3,4897,2891,6903,7,4,10,FR,France
201937,3,3172,1367,4977,5,2,8,FR,France
201936,3,2295,728,3862,3,1,5,FR,France
201935,3,1010,2,2018,2,0,4,FR,France
201934,3,1672,279,3065,3,1,5,FR,France
201933,3,1593,68,3118,2,0,4,FR,France
201932,3,1592,71,3113,2,0,4,FR,France
201931,3,2337,695,3979,4,2,6,FR,France
201930,3,1944,415,3473,3,1,5,FR,France
201929,3,2096,420,3772,3,0,6,FR,France
201928,3,1195,125,2265,2,0,4,FR,France
201927,3,2466,848,4084,4,2,6,FR,France
201926,3,1798,402,3194,3,1,5,FR,France
201925,3,1544,389,2699,2,0,4,FR,France
201924,3,876,17,1735,1,0,2,FR,France
201923,3,2004,748,3260,3,1,5,FR,France
201922,3,2181,602,3760,3,1,5,FR,France
201921,3,2585,1102,4068,4,2,6,FR,France
201920,3,2891,1202,4580,4,1,7,FR,France
201919,3,3221,1509,4933,5,2,8,FR,France
201918,3,1385,278,2492,2,0,4,FR,France
201917,3,3166,1348,4984,5,2,8,FR,France
201916,3,3842,1973,5711,6,3,9,FR,France
201915,3,5932,3669,8195,9,6,12,FR,France
201914,3,12675,9167,16183,19,14,24,FR,France
201913,3,16513,12530,20496,25,19,31,FR,France
201912,3,22184,17786,26582,34,27,41,FR,France
201911,3,31553,26556,36550,48,40,56,FR,France
201910,3,49742,43268,56216,76,66,86,FR,France
201909,3,88354,79564,97144,134,121,147,FR,France
201908,3,172604,160024,185184,262,243,281,FR,France
201907,3,307338,291220,323456,467,443,491,FR,France
201906,3,394286,376782,411790,599,572,626,FR,France
201905,3,355785,339295,372275,540,515,565,FR,France
201904,3,241090,227261,254919,366,345,387,FR,France
201903,3,147063,135890,158236,223,206,240,FR,France
201902,3,75548,67632,83464,115,103,127,FR,France
201901,3,50295,43525,57065,76,66,86,FR,France
201852,3,37903,31375,44431,58,48,68,FR,France
201851,3,39259,32977,45541,60,50,70,FR,France
201850,3,27781,22638,32924,42,34,50,FR,France
201849,3,19738,15481,23995,30,24,36,FR,France
201848,3,19501,15275,23727,30,24,36,FR,France
201847,3,15949,12105,19793,24,18,30,FR,France
201846,3,11278,7957,14599,17,12,22,FR,France
201845,3,11065,7791,14339,17,12,22,FR,France
201844,3,6586,3875,9297,10,6,14,FR,France
201843,3,6550,3988,9112,10,6,14,FR,France
201842,3,7787,5129,10445,12,8,16,FR,France
201841,3,8048,5098,10998,12,8,16,FR,France
201840,3,7409,4717,10101,11,7,15,FR,France
201839,3,7174,4235,10113,11,7,15,FR,France
201838,3,7349,4399,10299,11,7,15,FR,France
201837,3,4915,2386,7444,7,3,11,FR,France
201836,3,3215,1349,5081,5,2,8,FR,France
201835,3,1506,239,2773,2,0,4,FR,France
201834,3,1368,116,2620,2,0,4,FR,France
201833,3,1962,5,3919,3,0,6,FR,France
201832,3,1839,183,3495,3,0,6,FR,France
201831,3,2048,242,3854,3,0,6,FR,France
201830,3,1951,202,3700,3,0,6,FR,France
201829,3,1951,252,3650,3,0,6,FR,France
201828,3,1654,52,3256,3,1,5,FR,France
201827,3,3266,1145,5387,5,2,8,FR,France
201826,3,3758,1493,6023,6,3,9,FR,France
201825,3,4580,2220,6940,7,3,11,FR,France
201824,3,3223,1351,5095,5,2,8,FR,France
201823,3,1207,136,2278,2,0,4,FR,France
201822,3,3202,1330,5074,5,2,8,FR,France
201821,3,2537,763,4311,4,1,7,FR,France
201820,3,2694,967,4421,4,1,7,FR,France
201819,3,1025,0,2098,2,0,4,FR,France
201818,3,3541,1416,5666,5,2,8,FR,France
201817,3,2573,1003,4143,4,2,6,FR,France
201816,3,4818,2724,6912,7,4,10,FR,France
201815,3,16311,12168,20454,25,19,31,FR,France
201814,3,22666,18092,27240,35,28,42,FR,France
201813,3,32680,25536,39824,50,39,61,FR,France
201812,3,52040,44590,59490,79,68,90,FR,France
201811,3,65159,56506,73812,99,86,112,FR,France
201810,3,93512,83989,103035,142,128,156,FR,France
201809,3,108545,98645,118445,165,150,180,FR,France
201808,3,131870,120950,142790,201,184,218,FR,France
201807,3,141138,130177,152099,215,198,232,FR,France
201806,3,138810,128164,149456,211,195,227,FR,France
201805,3,157839,146646,169032,240,223,257,FR,France
201804,3,175483,163835,187131,267,249,285,FR,France
201803,3,178329,166640,190018,271,253,289,FR,France
201802,3,198079,185663,210495,302,283,321,FR,France
201801,3,235493,220941,250045,358,336,380,FR,France
201752,3,299114,279359,318869,459,429,489,FR,France
201751,3,229448,214366,244530,352,329,375,FR,France
201750,3,129535,118787,140283,199,183,215,FR,France
201749,3,63789,56120,71458,98,86,110,FR,France
201748,3,37568,31541,43595,58,49,67,FR,France
201747,3,24972,19923,30021,38,30,46,FR,France
201746,3,13398,9948,16848,21,16,26,FR,France
201745,3,14035,8091,19979,22,13,31,FR,France
201744,3,8544,5318,11770,13,8,18,FR,France
201743,3,7300,4402,10198,11,7,15,FR,France
201742,3,9966,6503,13429,15,10,20,FR,France
201741,3,12434,8718,16150,19,13,25,FR,France
201740,3,12725,8690,16760,20,14,26,FR,France
201739,3,14949,10534,19364,23,16,30,FR,France
201738,3,11463,7438,15488,18,12,24,FR,France
201737,3,9716,6364,13068,15,10,20,FR,France
201736,3,2815,917,4713,4,1,7,FR,France
201735,3,2794,850,4738,4,1,7,FR,France
201734,3,2497,879,4115,4,2,6,FR,France
201733,3,2406,766,4046,4,1,7,FR,France
201732,3,2667,879,4455,4,1,7,FR,France
201731,3,3256,1158,5354,5,2,8,FR,France
201730,3,3759,1299,6219,6,2,10,FR,France
201729,3,5014,1989,8039,8,3,13,FR,France
201728,3,5271,2576,7966,8,4,12,FR,France
201727,3,3924,1432,6416,6,2,10,FR,France
201726,3,3171,1166,5176,5,2,8,FR,France
201725,3,837,0,1721,1,0,2,FR,France
201724,3,1566,248,2884,2,0,4,FR,France
201723,3,1664,203,3125,3,1,5,FR,France
201722,3,1305,92,2518,2,0,4,FR,France
201721,3,971,0,2046,1,0,3,FR,France
201720,3,2686,793,4579,4,1,7,FR,France
201719,3,3461,1490,5432,5,2,8,FR,France
201718,3,2102,515,3689,3,1,5,FR,France
201717,3,2071,428,3714,3,0,6,FR,France
201716,3,1380,222,2538,2,0,4,FR,France
201715,3,479,0,1242,1,0,2,FR,France
201714,3,1110,0,2549,2,0,4,FR,France
201713,3,7594,3808,11380,12,6,18,FR,France
201712,3,8780,4834,12726,13,7,19,FR,France
201711,3,7814,4329,11299,12,7,17,FR,France
201710,3,11802,7964,15640,18,12,24,FR,France
201709,3,13111,9099,17123,20,14,26,FR,France
201708,3,29545,23136,35954,45,35,55,FR,France
201707,3,59590,49764,69416,91,76,106,FR,France
201706,3,93628,82560,104696,144,127,161,FR,France
201705,3,193677,179255,208099,297,275,319,FR,France
201704,3,256428,240618,272238,394,370,418,FR,France
201703,3,267276,251345,283207,410,386,434,FR,France
201702,3,260588,245070,276106,400,376,424,FR,France
201701,3,255535,239743,271327,392,368,416,FR,France
201652,3,224489,207799,241179,345,319,371,FR,France
201651,3,187704,172655,202753,288,265,311,FR,France
201650,3,126570,115081,138059,194,176,212,FR,France
201649,3,76390,67374,85406,117,103,131,FR,France
201648,3,40502,33949,47055,62,52,72,FR,France
201647,3,22270,17612,26928,34,27,41,FR,France
201646,3,20816,16125,25507,32,25,39,FR,France
201645,3,15957,11448,20466,24,17,31,FR,France
201644,3,15145,10357,19933,23,16,30,FR,France
201643,3,9378,5830,12926,14,9,19,FR,France
201642,3,12920,9044,16796,20,14,26,FR,France
201641,3,13909,9709,18109,21,15,27,FR,France
201640,3,13379,8969,17789,21,14,28,FR,France
201639,3,10598,6814,14382,16,10,22,FR,France
201638,3,5969,3073,8865,9,5,13,FR,France
201637,3,4065,1538,6592,6,2,10,FR,France
201636,3,2372,473,4271,4,1,7,FR,France
201635,3,3420,1350,5490,5,2,8,FR,France
201634,3,2233,0,4643,3,0,7,FR,France
201633,3,1567,0,3938,2,0,6,FR,France
201632,3,2100,93,4107,3,0,6,FR,France
201631,3,3691,0,9120,6,0,14,FR,France
201630,3,3209,644,5774,5,1,9,FR,France
201629,3,1469,0,3073,2,0,4,FR,France
201628,3,2725,357,5093,4,0,8,FR,France
201627,3,5905,2343,9467,9,4,14,FR,France
201626,3,4186,1636,6736,6,2,10,FR,France
201625,3,4611,1560,7662,7,2,12,FR,France
201624,3,4977,2404,7550,8,4,12,FR,France
201623,3,4893,2416,7370,8,4,12,FR,France
201622,3,5667,3015,8319,9,5,13,FR,France
201621,3,5603,2475,8731,9,4,14,FR,France
201620,3,3908,1679,6137,6,3,9,FR,France
201619,3,4738,2308,7168,7,3,11,FR,France
201618,3,8204,4394,12014,13,7,19,FR,France
201617,3,13385,8822,17948,21,14,28,FR,France
201616,3,25670,19632,31708,39,30,48,FR,France
201615,3,48441,39824,57058,74,61,87,FR,France
201614,3,92603,81261,103945,142,125,159,FR,France
201613,3,170654,156387,184921,262,240,284,FR,France
201612,3,272174,254338,290010,418,391,445,FR,France
201611,3,304543,286453,322633,467,439,495,FR,France
201610,3,261822,245799,277845,402,377,427,FR,France
201609,3,229943,214533,245353,353,329,377,FR,France
201608,3,195067,180874,209260,299,277,321,FR,France
201607,3,207359,193223,221495,318,296,340,FR,France
201606,3,196143,182672,209614,301,280,322,FR,France
201605,3,178963,166296,191630,275,256,294,FR,France
201604,3,148473,136591,160355,228,210,246,FR,France
201603,3,75277,66630,83924,116,103,129,FR,France
201602,3,44617,37821,51413,68,58,78,FR,France
201601,3,42263,35556,48970,65,55,75,FR,France
201553,3,24835,19106,30564,38,29,47,FR,France
201552,3,19495,14319,24671,30,22,38,FR,France
201551,3,29080,23014,35146,45,36,54,FR,France
201550,3,25043,19812,30274,39,31,47,FR,France
201549,3,21479,16686,26272,33,26,40,FR,France
201548,3,16428,12273,20583,25,19,31,FR,France
201547,3,14959,10856,19062,23,17,29,FR,France
201546,3,12599,8237,16961,20,13,27,FR,France
201545,3,13577,9192,17962,21,14,28,FR,France
201544,3,14596,10025,19167,23,16,30,FR,France
201543,3,16749,11745,21753,26,18,34,FR,France
201542,3,18675,13613,23737,29,21,37,FR,France
201541,3,13585,9830,17340,21,15,27,FR,France
201540,3,13100,9349,16851,20,14,26,FR,France
201539,3,8595,5671,11519,13,8,18,FR,France
201538,3,8402,4929,11875,13,8,18,FR,France
201537,3,8817,4089,13545,14,7,21,FR,France
201536,3,1922,440,3404,3,1,5,FR,France
201535,3,229,0,644,0,0,1,FR,France
201534,3,760,0,1618,1,0,2,FR,France
201533,3,1537,208,2866,2,0,4,FR,France
201532,3,1594,66,3122,2,0,4,FR,France
201531,3,2845,475,5215,4,0,8,FR,France
201530,3,2447,353,4541,4,1,7,FR,France
201529,3,2389,332,4446,4,1,7,FR,France
201528,3,2089,105,4073,3,0,6,FR,France
201527,3,2257,393,4121,3,0,6,FR,France
201526,3,2536,774,4298,4,1,7,FR,France
201525,3,2607,680,4534,4,1,7,FR,France
201524,3,2849,1000,4698,4,1,7,FR,France
201523,3,2702,857,4547,4,1,7,FR,France
201522,3,4262,1989,6535,7,3,11,FR,France
201521,3,5547,2875,8219,9,5,13,FR,France
201520,3,4594,2040,7148,7,3,11,FR,France
201519,3,6307,3256,9358,10,5,15,FR,France
201518,3,3664,1544,5784,6,3,9,FR,France
201517,3,6382,3523,9241,10,6,14,FR,France
201516,3,12098,7913,16283,19,13,25,FR,France
201515,3,19458,14192,24724,30,22,38,FR,France
201514,3,30940,24617,37263,48,38,58,FR,France
201513,3,49563,41986,57140,77,65,89,FR,France
201512,3,70024,61079,78969,109,95,123,FR,France
201511,3,99295,88838,109752,154,138,170,FR,France
201510,3,143931,131682,156180,223,204,242,FR,France
201509,3,238947,222902,254992,370,345,395,FR,France
201508,3,409972,388670,431274,635,602,668,FR,France
201507,3,517750,494301,541199,802,766,838,FR,France
201506,3,533317,510627,556007,827,792,862,FR,France
201505,3,457911,436964,478858,710,678,742,FR,France
201504,3,292161,275491,308831,453,427,479,FR,France
201503,3,153931,141290,166572,239,219,259,FR,France
201502,3,104096,93358,114834,161,144,178,FR,France
201501,3,70962,60505,81419,110,94,126,FR,France
201452,3,63168,52705,73631,98,82,114,FR,France
201451,3,45346,38002,52690,71,60,82,FR,France
201450,3,42182,35049,49315,66,55,77,FR,France
201449,3,33537,27281,39793,52,42,62,FR,France
201448,3,28156,21896,34416,44,34,54,FR,France
201447,3,18158,13186,23130,28,20,36,FR,France
201446,3,14764,10174,19354,23,16,30,FR,France
201445,3,16172,11449,20895,25,18,32,FR,France
201444,3,15500,10464,20536,24,16,32,FR,France
201443,3,16011,10653,21369,25,17,33,FR,France
201442,3,21651,15828,27474,34,25,43,FR,France
201441,3,22486,16295,28677,35,25,45,FR,France
201440,3,16526,11583,21469,26,18,34,FR,France
201439,3,8583,5054,12112,13,8,18,FR,France
201438,3,10567,6496,14638,16,10,22,FR,France
201437,3,7714,3780,11648,12,6,18,FR,France
201436,3,5018,1949,8087,8,3,13,FR,France
201435,3,2268,355,4181,4,1,7,FR,France
201434,3,2367,250,4484,4,1,7,FR,France
201433,3,2358,0,4875,4,0,8,FR,France
201432,3,3229,447,6011,5,1,9,FR,France
201431,3,4143,349,7937,6,0,12,FR,France
201430,3,4631,902,8360,7,1,13,FR,France
201429,3,5122,1258,8986,8,2,14,FR,France
201428,3,4145,1200,7090,6,1,11,FR,France
201427,3,4823,1997,7649,8,4,12,FR,France
201426,3,3858,1235,6481,6,2,10,FR,France
201425,3,4564,1276,7852,7,2,12,FR,France
201424,3,2007,249,3765,3,0,6,FR,France
201423,3,5164,1853,8475,8,3,13,FR,France
201422,3,6907,1856,11958,11,3,19,FR,France
201421,3,4523,1039,8007,7,2,12,FR,France
201420,3,5881,2432,9330,9,4,14,FR,France
201419,3,3588,1277,5899,6,2,10,FR,France
201418,3,4708,1654,7762,7,2,12,FR,France
201417,3,2989,625,5353,5,1,9,FR,France
201416,3,7057,3381,10733,11,5,17,FR,France
201415,3,10800,6762,14838,17,11,23,FR,France
201414,3,19217,13490,24944,30,21,39,FR,France
201413,3,21577,15435,27719,34,24,44,FR,France
201412,3,23524,17260,29788,37,27,47,FR,France
201411,3,44513,35939,53087,69,56,82,FR,France
201410,3,86105,73497,98713,134,114,154,FR,France
201409,3,147035,131889,162181,229,205,253,FR,France
201408,3,188419,171950,204888,293,267,319,FR,France
201407,3,208726,191283,226169,325,298,352,FR,France
201406,3,160403,145280,175526,250,226,274,FR,France
201405,3,120261,107176,133346,187,167,207,FR,France
201404,3,85280,74414,96146,133,116,150,FR,France
201403,3,64159,54089,74229,100,84,116,FR,France
201402,3,46850,38202,55498,73,60,86,FR,France
201401,3,35624,27451,43797,55,42,68,FR,France
201352,3,30142,22721,37563,47,35,59,FR,France
201351,3,29787,23215,36359,47,37,57,FR,France
201350,3,24055,18214,29896,38,29,47,FR,France
201349,3,18071,13058,23084,28,20,36,FR,France
201348,3,17606,12195,23017,28,20,36,FR,France
201347,3,22636,16343,28929,35,25,45,FR,France
201346,3,13340,8367,18313,21,13,29,FR,France
201345,3,10596,6057,15135,17,10,24,FR,France
201344,3,10193,5622,14764,16,9,23,FR,France
201343,3,15780,9497,22063,25,15,35,FR,France
201342,3,14830,9545,20115,23,15,31,FR,France
201341,3,12391,7265,17517,19,11,27,FR,France
201340,3,9794,5140,14448,15,8,22,FR,France
201339,3,5371,1704,9038,8,2,14,FR,France
201338,3,9324,4198,14450,15,7,23,FR,France
201337,3,5027,1752,8302,8,3,13,FR,France
201336,3,4639,1425,7853,7,2,12,FR,France
201335,3,1291,0,3112,2,0,5,FR,France
201334,3,1889,0,4912,3,0,8,FR,France
201333,3,4740,348,9132,7,0,14,FR,France
201332,3,4709,549,8869,7,0,14,FR,France
201331,3,2270,0,5811,4,0,10,FR,France
201330,3,2169,0,4630,3,0,7,FR,France
201329,3,1696,0,3558,3,0,6,FR,France
201328,3,983,0,2168,2,0,4,FR,France
201327,3,4278,1327,7229,7,2,12,FR,France
201326,3,3488,839,6137,5,1,9,FR,France
201325,3,2735,0,5826,4,0,9,FR,France
201324,3,7245,2997,11493,11,4,18,FR,France
201323,3,16094,8918,23270,25,14,36,FR,France
201322,3,7245,2923,11567,11,4,18,FR,France
201321,3,5974,2401,9547,9,3,15,FR,France
201320,3,3831,1245,6417,6,2,10,FR,France
201319,3,1166,0,2680,2,0,4,FR,France
201318,3,3415,757,6073,5,1,9,FR,France
201317,3,7941,2950,12932,12,4,20,FR,France
201316,3,9520,4758,14282,15,8,22,FR,France
201315,3,19357,13311,25403,30,21,39,FR,France
201314,3,36855,27737,45973,58,44,72,FR,France
201313,3,43236,34048,52424,68,54,82,FR,France
201312,3,60822,50414,71230,95,79,111,FR,France
201311,3,84308,72456,96160,132,113,151,FR,France
201310,3,165558,148471,182645,259,232,286,FR,France
201309,3,259984,239067,280901,407,374,440,FR,France
201308,3,351626,327537,375715,550,512,588,FR,France
201307,3,470076,443682,496470,736,695,777,FR,France
201306,3,471647,445112,498182,738,696,780,FR,France
201305,3,492026,464729,519323,770,727,813,FR,France
201304,3,391525,367182,415868,613,575,651,FR,France
201303,3,224661,207134,242188,352,325,379,FR,France
201302,3,184159,168343,199975,288,263,313,FR,France
201301,3,163491,147340,179642,256,231,281,FR,France
201252,3,159290,141978,176602,251,224,278,FR,France
201251,3,113901,99835,127967,179,157,201,FR,France
201250,3,79918,68086,91750,126,107,145,FR,France
201249,3,47537,38711,56363,75,61,89,FR,France
201248,3,43006,32863,53149,68,52,84,FR,France
201247,3,39223,29140,49306,62,46,78,FR,France
201246,3,26436,18286,34586,42,29,55,FR,France
201245,3,18893,12799,24987,30,20,40,FR,France
201244,3,13106,8784,17428,21,14,28,FR,France
201243,3,17791,11284,24298,28,18,38,FR,France
201242,3,13096,8369,17823,21,14,28,FR,France
201241,3,18675,12010,25340,29,19,39,FR,France
201240,3,17873,11545,24201,28,18,38,FR,France
201239,3,20257,14180,26334,32,22,42,FR,France
201238,3,14715,9178,20252,23,14,32,FR,France
201237,3,7775,3509,12041,12,5,19,FR,France
201236,3,6384,2420,10348,10,4,16,FR,France
201235,3,8277,2206,14348,13,3,23,FR,France
201234,3,3858,0,8641,6,0,14,FR,France
201233,3,6492,840,12144,10,1,19,FR,France
201232,3,6381,0,14034,10,0,22,FR,France
201231,3,2696,0,5763,4,0,9,FR,France
201230,3,1834,0,4194,3,0,7,FR,France
201229,3,6329,1424,11234,10,2,18,FR,France
201228,3,4628,1091,8165,7,1,13,FR,France
201227,3,4162,1487,6837,7,3,11,FR,France
201226,3,4819,1097,8541,8,2,14,FR,France
201225,3,2669,530,4808,4,1,7,FR,France
201224,3,5977,2335,9619,9,3,15,FR,France
201223,3,2361,576,4146,4,1,7,FR,France
201222,3,5772,2435,9109,9,4,14,FR,France
201221,3,3722,821,6623,6,1,11,FR,France
201220,3,2731,897,4565,4,1,7,FR,France
201219,3,3267,1317,5217,5,2,8,FR,France
201218,3,2328,569,4087,4,1,7,FR,France
201217,3,6982,2701,11263,11,4,18,FR,France
201216,3,11455,6874,16036,18,11,25,FR,France
201215,3,20437,13435,27439,32,21,43,FR,France
201214,3,36740,27799,45681,58,44,72,FR,France
201213,3,62917,50171,75663,99,79,119,FR,France
201212,3,84738,71566,97910,133,112,154,FR,France
201211,3,128945,113778,144112,203,179,227,FR,France
201210,3,174704,157337,192071,275,248,302,FR,France
201209,3,225648,206810,244486,355,325,385,FR,France
201208,3,287293,264901,309685,452,417,487,FR,France
201207,3,263557,242711,284403,415,382,448,FR,France
201206,3,175123,158942,191304,276,251,301,FR,France
201205,3,106110,92524,119696,167,146,188,FR,France
201204,3,67778,56784,78772,107,90,124,FR,France
201203,3,49440,40981,57899,78,65,91,FR,France
201202,3,40507,32652,48362,64,52,76,FR,France
201201,3,45104,35640,54568,71,56,86,FR,France
201152,3,36532,28367,44697,58,45,71,FR,France
201151,3,25835,19002,32668,41,30,52,FR,France
201150,3,24155,18145,30165,38,28,48,FR,France
201149,3,27209,20376,34042,43,32,54,FR,France
201148,3,32358,24451,40265,51,38,64,FR,France
201147,3,17627,11780,23474,28,19,37,FR,France
201146,3,22368,15730,29006,35,24,46,FR,France
201145,3,18104,11995,24213,29,19,39,FR,France
201144,3,14050,8471,19629,22,13,31,FR,France
201143,3,21522,14251,28793,34,22,46,FR,France
201142,3,16932,11363,22501,27,18,36,FR,France
201141,3,7486,4024,10948,12,7,17,FR,France
201140,3,14053,8659,19447,22,13,31,FR,France
201139,3,17021,11062,22980,27,18,36,FR,France
201138,3,14007,8465,19549,22,13,31,FR,France
201137,3,8365,4174,12556,13,6,20,FR,France
201136,3,4606,1714,7498,7,2,12,FR,France
201135,3,4178,1634,6722,7,3,11,FR,France
201134,3,3312,683,5941,5,1,9,FR,France
201133,3,2421,0,5277,4,0,9,FR,France
201132,3,2590,119,5061,4,0,8,FR,France
201131,3,2409,320,4498,4,1,7,FR,France
201130,3,3972,1395,6549,6,2,10,FR,France
201129,3,2265,717,3813,4,2,6,FR,France
201128,3,1977,255,3699,3,0,6,FR,France
201127,3,3524,551,6497,6,1,11,FR,France
201126,3,1155,0,2685,2,0,4,FR,France
201125,3,3791,1006,6576,6,2,10,FR,France
201124,3,3507,1149,5865,6,2,10,FR,France
201123,3,3406,1170,5642,5,1,9,FR,France
201122,3,3122,1125,5119,5,2,8,FR,France
201121,3,2694,769,4619,4,1,7,FR,France
201120,3,3951,1443,6459,6,2,10,FR,France
201119,3,5416,1995,8837,9,4,14,FR,France
201118,3,5306,1815,8797,8,2,14,FR,France
201117,3,2659,310,5008,4,0,8,FR,France
201116,3,5061,1988,8134,8,3,13,FR,France
201115,3,6557,3038,10076,10,4,16,FR,France
201114,3,7352,3784,10920,12,6,18,FR,France
201113,3,8749,5213,12285,14,8,20,FR,France
201112,3,12491,7845,17137,20,13,27,FR,France
201111,3,14619,10009,19229,23,16,30,FR,France
201110,3,33628,26073,41183,53,41,65,FR,France
201109,3,54522,46057,62987,86,73,99,FR,France
201108,3,78392,67885,88899,124,107,141,FR,France
201107,3,149219,134798,163640,236,213,259,FR,France
201106,3,216579,200236,232922,343,317,369,FR,France
201105,3,278192,260235,296149,440,412,468,FR,France
201104,3,278218,259626,296810,440,411,469,FR,France
201103,3,275882,257313,294451,437,408,466,FR,France
201102,3,308949,288320,329578,489,456,522,FR,France
201101,3,309933,288190,331676,490,456,524,FR,France
201052,3,228105,208046,248164,363,331,395,FR,France
201051,3,158957,142576,175338,253,227,279,FR,France
201050,3,104874,91639,118109,167,146,188,FR,France
201049,3,54971,46418,63524,88,74,102,FR,France
201048,3,36982,29304,44660,59,47,71,FR,France
201047,3,26598,20123,33073,42,32,52,FR,France
201046,3,15465,10915,20015,25,18,32,FR,France
201045,3,9040,5772,12308,14,9,19,FR,France
201044,3,15833,10255,21411,25,16,34,FR,France
201043,3,16002,11001,21003,25,17,33,FR,France
201042,3,18709,13376,24042,30,22,38,FR,France
201041,3,17352,12182,22522,28,20,36,FR,France
201040,3,18331,12824,23838,29,20,38,FR,France
201039,3,11978,7913,16043,19,13,25,FR,France
201038,3,8936,4906,12966,14,8,20,FR,France
201037,3,5318,2551,8085,8,4,12,FR,France
201036,3,4954,2058,7850,8,3,13,FR,France
201035,3,4279,1604,6954,7,3,11,FR,France
201034,3,4926,566,9286,8,1,15,FR,France
201033,3,2950,0,6507,5,0,11,FR,France
201032,3,671,0,1522,1,0,2,FR,France
201031,3,2732,509,4955,4,0,8,FR,France
201030,3,3989,1068,6910,6,1,11,FR,France
201029,3,4123,1531,6715,7,3,11,FR,France
201028,3,1209,0,2640,2,0,4,FR,France
201027,3,2494,433,4555,4,1,7,FR,France
201026,3,5808,2454,9162,9,4,14,FR,France
201025,3,8019,4395,11643,13,7,19,FR,France
201024,3,3584,1657,5511,6,3,9,FR,France
201023,3,4016,1905,6127,6,3,9,FR,France
201022,3,6251,3664,8838,10,6,14,FR,France
201021,3,3860,1636,6084,6,2,10,FR,France
201020,3,2470,442,4498,4,1,7,FR,France
201019,3,2273,636,3910,4,1,7,FR,France
201018,3,4095,1639,6551,7,3,11,FR,France
201017,3,2216,817,3615,4,2,6,FR,France
201016,3,3471,1085,5857,6,2,10,FR,France
201015,3,3990,1376,6604,6,2,10,FR,France
201014,3,6188,3191,9185,10,5,15,FR,France
201013,3,6705,3665,9745,11,6,16,FR,France
201012,3,6727,3582,9872,11,6,16,FR,France
201011,3,8692,5002,12382,14,8,20,FR,France
201010,3,8844,5465,12223,14,9,19,FR,France
201009,3,12081,7334,16828,19,11,27,FR,France
201008,3,15433,10422,20444,25,17,33,FR,France
201007,3,19690,11728,27652,31,18,44,FR,France
201006,3,27858,18883,36833,44,30,58,FR,France
201005,3,22197,17019,27375,35,27,43,FR,France
201004,3,33817,26151,41483,54,42,66,FR,France
201003,3,36236,27936,44536,58,45,71,FR,France
201002,3,40691,32891,48491,65,53,77,FR,France
201001,3,66574,56164,76984,106,89,123,FR,France
200953,3,96141,81818,110464,153,130,176,FR,France
200952,3,172872,153238,192506,275,244,306,FR,France
200951,3,247809,229140,266478,395,365,425,FR,France
200950,3,379424,355974,402874,604,567,641,FR,France
200949,3,473718,447756,499680,754,713,795,FR,France
200948,3,467551,441506,493596,744,703,785,FR,France
200947,3,378924,355752,402096,603,566,640,FR,France
200946,3,223847,203918,243776,356,324,388,FR,France
200945,3,147046,131155,162937,234,209,259,FR,France
200944,3,170231,151298,189164,271,241,301,FR,France
200943,3,131408,114883,147933,209,183,235,FR,France
200942,3,99387,84491,114283,158,134,182,FR,France
200941,3,100802,86381,115223,160,137,183,FR,France
200940,3,111587,97628,125546,178,156,200,FR,France
200939,3,121267,106153,136381,193,169,217,FR,France
200938,3,137924,121242,154606,220,193,247,FR,France
200937,3,101332,87522,115142,161,139,183,FR,France
200936,3,46024,36435,55613,73,58,88,FR,France
200935,3,31660,23669,39651,50,37,63,FR,France
200934,3,24985,17699,32271,40,28,52,FR,France
200933,3,24435,16308,32562,39,26,52,FR,France
200932,3,23151,14624,31678,37,23,51,FR,France
200931,3,30255,9818,50692,48,15,81,FR,France
200930,3,13868,7861,19875,22,12,32,FR,France
200929,3,10704,5314,16094,17,8,26,FR,France
200928,3,15516,273,30759,25,1,49,FR,France
200927,3,10354,2760,17948,16,4,28,FR,France
200926,3,9932,5257,14607,16,9,23,FR,France
200925,3,7619,4026,11212,12,6,18,FR,France
200924,3,7794,3409,12179,12,5,19,FR,France
200923,3,4342,1975,6709,7,3,11,FR,France
200922,3,6390,3020,9760,10,5,15,FR,France
200921,3,7118,3704,10532,11,6,16,FR,France
200920,3,9482,5804,13160,15,9,21,FR,France
200919,3,7538,4299,10777,12,7,17,FR,France
200918,3,9627,5121,14133,15,8,22,FR,France
200917,3,9537,5267,13807,15,8,22,FR,France
200916,3,14666,9218,20114,23,14,32,FR,France
200915,3,17533,12137,22929,28,19,37,FR,France
200914,3,26324,19150,33498,42,31,53,FR,France
200913,3,27737,20781,34693,44,33,55,FR,France
200912,3,38811,29935,47687,62,48,76,FR,France
200911,3,40410,30705,50115,64,49,79,FR,France
200910,3,53395,41943,64847,85,67,103,FR,France
200909,3,70558,57400,83716,112,91,133,FR,France
200908,3,109100,94840,123360,174,151,197,FR,France
200907,3,141531,125101,157961,225,199,251,FR,France
200906,3,276274,252759,299789,440,403,477,FR,France
200905,3,401868,375032,428704,640,597,683,FR,France
200904,3,545313,512892,577734,868,816,920,FR,France
200903,3,520957,487271,554643,829,775,883,FR,France
200902,3,287145,262869,311421,457,418,496,FR,France
200901,3,200349,180878,219820,319,288,350,FR,France
200852,3,198418,115769,281067,323,188,458,FR,France
200851,3,112588,96656,128520,184,158,210,FR,France
200850,3,51746,43319,60173,84,70,98,FR,France
200849,3,34950,27527,42373,57,45,69,FR,France
200848,3,25604,18563,32645,42,31,53,FR,France
200847,3,18706,10838,26574,30,17,43,FR,France
200846,3,10899,5461,16337,18,9,27,FR,France
200845,3,12472,7082,17862,20,11,29,FR,France
200844,3,9772,5661,13883,16,9,23,FR,France
200843,3,9345,5541,13149,15,9,21,FR,France
200842,3,9087,5572,12602,15,9,21,FR,France
200841,3,9925,5637,14213,16,9,23,FR,France
200840,3,7869,4535,11203,13,8,18,FR,France
200839,3,2195,506,3884,4,1,7,FR,France
200838,3,3679,1481,5877,6,2,10,FR,France
200837,3,2429,561,4297,4,1,7,FR,France
200836,3,2512,492,4532,4,1,7,FR,France
200835,3,1901,0,4869,3,0,8,FR,France
200834,3,2552,0,6509,4,0,10,FR,France
200833,3,7229,0,16106,12,0,26,FR,France
200832,3,4378,107,8649,7,0,14,FR,France
200831,3,3972,621,7323,6,1,11,FR,France
200830,3,3821,643,6999,6,1,11,FR,France
200829,3,2055,0,4225,3,0,7,FR,France
200828,3,3257,208,6306,5,0,10,FR,France
200827,3,2862,474,5250,5,1,9,FR,France
200826,3,897,0,2062,1,0,3,FR,France
200825,3,2006,360,3652,3,0,6,FR,France
200824,3,3217,823,5611,5,1,9,FR,France
200823,3,2906,1006,4806,5,2,8,FR,France
200822,3,1792,451,3133,3,1,5,FR,France
200821,3,3642,925,6359,6,2,10,FR,France
200820,3,6452,2790,10114,11,5,17,FR,France
200819,3,5173,1485,8861,8,2,14,FR,France
200818,3,5315,1770,8860,9,3,15,FR,France
200817,3,10150,5835,14465,17,10,24,FR,France
200816,3,11876,7054,16698,19,11,27,FR,France
200815,3,22871,16253,29489,37,26,48,FR,France
200814,3,45610,27907,63313,74,45,103,FR,France
200813,3,38600,29300,47900,63,48,78,FR,France
200812,3,53169,43299,63039,87,71,103,FR,France
200811,3,62014,50430,73598,101,82,120,FR,France
200810,3,90342,75729,104955,147,123,171,FR,France
200809,3,119696,104205,135187,195,170,220,FR,France
200808,3,198688,180749,216627,324,295,353,FR,France
200807,3,286498,264535,308461,467,431,503,FR,France
200806,3,377097,350714,403480,615,572,658,FR,France
200805,3,344050,320436,367664,561,523,599,FR,France
200804,3,290196,268193,312199,473,437,509,FR,France
200803,3,260268,233385,287151,424,380,468,FR,France
200802,3,160872,145311,176433,262,237,287,FR,France
200801,3,102562,88547,116577,167,144,190,FR,France
200752,3,86742,72295,101189,141,117,165,FR,France
200751,3,61954,51764,72144,101,84,118,FR,France
200750,3,45366,36923,53809,74,60,88,FR,France
200749,3,38351,26177,50525,63,43,83,FR,France
200748,3,48174,35418,60930,79,58,100,FR,France
200747,3,30716,23351,38081,50,38,62,FR,France
200746,3,18204,12267,24141,30,20,40,FR,France
200745,3,15521,10195,20847,25,16,34,FR,France
200744,3,13904,9072,18736,23,15,31,FR,France
200743,3,16212,10778,21646,26,17,35,FR,France
200742,3,20197,13955,26439,33,23,43,FR,France
200741,3,12987,8464,17510,21,14,28,FR,France
200740,3,13517,2983,24051,22,5,39,FR,France
200739,3,15985,7519,24451,26,12,40,FR,France
200738,3,4769,837,8701,8,2,14,FR,France
200737,3,1449,300,2598,2,0,4,FR,France
200736,3,1100,0,2424,2,0,4,FR,France
200735,3,1177,0,2872,2,0,5,FR,France
200734,3,3353,654,6052,5,1,9,FR,France
200733,3,4189,360,8018,7,1,13,FR,France
200732,3,132,0,688,0,0,1,FR,France
200731,3,1965,0,4461,3,0,7,FR,France
200730,3,2158,0,4583,4,0,8,FR,France
200729,3,3406,240,6572,6,1,11,FR,France
200728,3,1459,0,3467,2,0,5,FR,France
200727,3,1453,0,3382,2,0,5,FR,France
200726,3,157,0,513,0,0,1,FR,France
200725,3,3699,0,7778,6,0,13,FR,France
200724,3,2854,481,5227,5,1,9,FR,France
200723,3,5343,2164,8522,9,4,14,FR,France
200722,3,7689,4224,11154,13,7,19,FR,France
200721,3,4319,1659,6979,7,3,11,FR,France
200720,3,6400,2685,10115,10,4,16,FR,France
200719,3,3012,703,5321,5,1,9,FR,France
200718,3,2232,348,4116,4,1,7,FR,France
200717,3,4705,1736,7674,8,3,13,FR,France
200716,3,3817,1438,6196,6,2,10,FR,France
200715,3,4757,717,8797,8,1,15,FR,France
200714,3,11377,6957,15797,19,12,26,FR,France
200713,3,21271,13093,29449,35,22,48,FR,France
200712,3,25433,17717,33149,41,28,54,FR,France
200711,3,30764,23356,38172,50,38,62,FR,France
200710,3,49469,40368,58570,81,66,96,FR,France
200709,3,138901,117018,160784,226,190,262,FR,France
200708,3,316747,284988,348506,516,464,568,FR,France
200707,3,417698,386505,448891,681,630,732,FR,France
200706,3,500016,466668,533364,815,761,869,FR,France
200705,3,375457,346822,404092,612,565,659,FR,France
200704,3,209878,189332,230424,342,309,375,FR,France
200703,3,126161,110596,141726,206,181,231,FR,France
200702,3,82849,69493,96205,135,113,157,FR,France
200701,3,70842,58613,83071,115,95,135,FR,France
200652,3,78190,64191,92189,128,105,151,FR,France
200651,3,62734,50210,75258,103,82,124,FR,France
200650,3,35668,27280,44056,58,44,72,FR,France
200649,3,18773,13164,24382,31,22,40,FR,France
200648,3,16439,11225,21653,27,18,36,FR,France
200647,3,16104,9343,22865,26,15,37,FR,France
200646,3,14032,5590,22474,23,9,37,FR,France
200645,3,12285,7745,16825,20,13,27,FR,France
200644,3,8031,4172,11890,13,7,19,FR,France
200643,3,21157,12483,29831,35,21,49,FR,France
200642,3,16673,8249,25097,27,13,41,FR,France
200641,3,13920,9081,18759,23,15,31,FR,France
200640,3,11950,7132,16768,20,12,28,FR,France
200639,3,8945,4333,13557,15,7,23,FR,France
200638,3,2532,138,4926,4,0,8,FR,France
200637,3,1786,233,3339,3,0,6,FR,France
200636,3,1107,0,2346,2,0,4,FR,France
200635,3,2170,0,4760,4,0,8,FR,France
200634,3,1572,0,3756,3,0,7,FR,France
200633,3,0,0,0,0,0,0,FR,France
200632,3,0,0,0,0,0,0,FR,France
200631,3,1773,0,3892,3,0,6,FR,France
200630,3,665,0,1614,1,0,3,FR,France
200629,3,1339,0,3260,2,0,5,FR,France
200628,3,843,0,2245,1,0,3,FR,France
200627,3,1351,0,3031,2,0,5,FR,France
200626,3,4564,1506,7622,7,2,12,FR,France
200625,3,6259,2072,10446,10,3,17,FR,France
200624,3,4279,964,7594,7,2,12,FR,France
200623,3,4532,1489,7575,7,2,12,FR,France
200622,3,5807,2667,8947,10,5,15,FR,France
200621,3,4661,1761,7561,8,3,13,FR,France
200620,3,8859,4754,12964,15,8,22,FR,France
200619,3,5083,2011,8155,8,3,13,FR,France
200618,3,4454,1632,7276,7,2,12,FR,France
200617,3,17762,11802,23722,29,19,39,FR,France
200616,3,22096,15420,28772,36,25,47,FR,France
200615,3,26969,19631,34307,44,32,56,FR,France
200614,3,40321,31022,49620,66,51,81,FR,France
200613,3,77053,63531,90575,126,104,148,FR,France
200612,3,108004,93005,123003,177,152,202,FR,France
200611,3,122437,106388,138486,201,175,227,FR,France
200610,3,124749,109104,140394,204,178,230,FR,France
200609,3,164150,146099,182201,269,239,299,FR,France
200608,3,199088,178830,219346,326,293,359,FR,France
200607,3,243908,221071,266745,400,363,437,FR,France
200606,3,256758,235190,278326,421,386,456,FR,France
200605,3,184928,166901,202955,303,273,333,FR,France
200604,3,104620,90909,118331,171,149,193,FR,France
200603,3,66255,55727,76783,109,92,126,FR,France
200602,3,39211,31418,47004,64,51,77,FR,France
200601,3,34603,26269,42937,57,43,71,FR,France
200552,3,32132,24389,39875,53,40,66,FR,France
200551,3,40344,28397,52291,67,47,87,FR,France
200550,3,36880,28635,45125,61,47,75,FR,France
200549,3,27589,20576,34602,46,34,58,FR,France
200548,3,24860,17839,31881,41,29,53,FR,France
200547,3,26884,19810,33958,44,32,56,FR,France
200546,3,23967,17155,30779,40,29,51,FR,France
200545,3,14609,8709,20509,24,14,34,FR,France
200544,3,20481,13625,27337,34,23,45,FR,France
200543,3,18045,11916,24174,30,20,40,FR,France
200542,3,23653,15209,32097,39,25,53,FR,France
200541,3,26466,18270,34662,44,30,58,FR,France
200540,3,26647,18088,35206,44,30,58,FR,France
200539,3,23994,15381,32607,40,26,54,FR,France
200538,3,21881,13979,29783,36,23,49,FR,France
200537,3,10347,5384,15310,17,9,25,FR,France
200536,3,7082,2806,11358,12,5,19,FR,France
200535,3,2448,0,4987,4,0,8,FR,France
200534,3,5281,539,10023,9,1,17,FR,France
200533,3,2815,0,6252,5,0,11,FR,France
200532,3,1572,0,3690,3,0,6,FR,France
200531,3,3767,0,10955,6,0,18,FR,France
200530,3,2203,0,5072,4,0,9,FR,France
200529,3,3965,739,7191,7,2,12,FR,France
200528,3,1988,96,3880,3,0,6,FR,France
200527,3,2305,0,4713,4,0,8,FR,France
200526,3,4720,1385,8055,8,2,14,FR,France
200525,3,2354,0,4747,4,0,8,FR,France
200524,3,5892,2029,9755,10,4,16,FR,France
200523,3,5246,1722,8770,9,3,15,FR,France
200522,3,3935,1031,6839,6,1,11,FR,France
200521,3,4284,474,8094,7,1,13,FR,France
200520,3,7841,3611,12071,13,6,20,FR,France
200519,3,7638,3346,11930,13,6,20,FR,France
200518,3,2755,388,5122,5,1,9,FR,France
200517,3,7166,3530,10802,12,6,18,FR,France
200516,3,9741,5344,14138,16,9,23,FR,France
200515,3,14881,9018,20744,25,15,35,FR,France
200514,3,21988,14834,29142,36,24,48,FR,France
200513,3,42971,33053,52889,71,55,87,FR,France
200512,3,90040,75374,104706,149,125,173,FR,France
200511,3,183032,161407,204657,302,266,338,FR,France
200510,3,222526,199990,245062,367,330,404,FR,France
200509,3,251784,229464,274104,416,379,453,FR,France
200508,3,277423,254825,300021,458,421,495,FR,France
200507,3,459444,430026,488862,759,710,808,FR,France
200506,3,568610,536207,601013,939,885,993,FR,France
200505,3,568285,534912,601658,938,883,993,FR,France
200504,3,316856,292011,341701,523,482,564,FR,France
200503,3,154208,137061,171355,255,227,283,FR,France
200502,3,88853,75576,102130,147,125,169,FR,France
200501,3,55801,45339,66263,92,75,109,FR,France
200453,3,40695,31926,49464,68,53,83,FR,France
200452,3,32687,24316,41058,54,40,68,FR,France
200451,3,46209,36017,56401,77,60,94,FR,France
200450,3,42358,31865,52851,70,53,87,FR,France
200449,3,27092,17910,36274,45,30,60,FR,France
200448,3,30522,21236,39808,51,36,66,FR,France
200447,3,21148,13386,28910,35,22,48,FR,France
200446,3,13934,8335,19533,23,14,32,FR,France
200445,3,15658,9703,21613,26,16,36,FR,France
200444,3,23166,14852,31480,38,24,52,FR,France
200443,3,16780,10545,23015,28,18,38,FR,France
200442,3,20480,13909,27051,34,23,45,FR,France
200441,3,15852,9789,21915,26,16,36,FR,France
200440,3,25639,17291,33987,43,29,57,FR,France
200439,3,22680,13222,32138,38,22,54,FR,France
200438,3,17483,9417,25549,29,16,42,FR,France
200437,3,9103,4768,13438,15,8,22,FR,France
200436,3,7753,3596,11910,13,6,20,FR,France
200435,3,4408,775,8041,7,1,13,FR,France
200434,3,4501,610,8392,7,1,13,FR,France
200433,3,1697,0,4046,3,0,7,FR,France
200432,3,3496,0,8181,6,0,14,FR,France
200431,3,2949,20,5878,5,0,10,FR,France
200430,3,3557,642,6472,6,1,11,FR,France
200429,3,5164,1162,9166,9,2,16,FR,France
200428,3,6358,2224,10492,11,4,18,FR,France
200427,3,7486,3040,11932,12,5,19,FR,France
200426,3,7113,0,14709,12,0,25,FR,France
200425,3,3275,508,6042,5,0,10,FR,France
200424,3,6737,2394,11080,11,4,18,FR,France
200423,3,9792,807,18777,16,1,31,FR,France
200422,3,8077,3482,12672,13,5,21,FR,France
200421,3,8073,3588,12558,13,6,20,FR,France
200420,3,7885,3454,12316,13,6,20,FR,France
200419,3,7235,3101,11369,12,5,19,FR,France
200418,3,5108,1830,8386,8,3,13,FR,France
200417,3,3647,523,6771,6,1,11,FR,France
200416,3,5265,1359,9171,9,3,15,FR,France
200415,3,8272,3655,12889,14,6,22,FR,France
200414,3,15657,8888,22426,26,15,37,FR,France
200413,3,8316,4067,12565,14,7,21,FR,France
200412,3,12482,6899,18065,21,12,30,FR,France
200411,3,13964,7879,20049,23,13,33,FR,France
200410,3,22531,14164,30898,37,23,51,FR,France
200409,3,12618,7283,17953,21,12,30,FR,France
200408,3,17738,11055,24421,29,18,40,FR,France
200407,3,25484,17228,33740,42,28,56,FR,France
200406,3,27452,19505,35399,46,33,59,FR,France
200405,3,35110,25869,44351,58,43,73,FR,France
200404,3,44571,35266,53876,74,59,89,FR,France
200403,3,60482,50389,70575,100,83,117,FR,France
200402,3,95234,81407,109061,158,135,181,FR,France
200401,3,109116,84565,133667,181,140,222,FR,France
200352,3,72239,5520,138958,121,10,232,FR,France
200351,3,445464,389214,501714,744,650,838,FR,France
200350,3,522427,491781,553073,873,822,924,FR,France
200349,3,555492,524706,586278,928,877,979,FR,France
200348,3,514668,485364,543972,860,811,909,FR,France
200347,3,332927,305972,359882,556,511,601,FR,France
200346,3,146101,126840,165362,244,212,276,FR,France
200345,3,95565,80900,110230,160,135,185,FR,France
200344,3,54703,43193,66213,91,72,110,FR,France
200343,3,45834,36611,55057,77,62,92,FR,France
200342,3,39010,28885,49135,65,48,82,FR,France
200341,3,29579,21478,37680,49,35,63,FR,France
200340,3,30862,19484,42240,52,33,71,FR,France
200339,3,26592,18927,34257,44,31,57,FR,France
200338,3,14811,8777,20845,25,15,35,FR,France
200337,3,14735,7495,21975,25,13,37,FR,France
200336,3,10951,3732,18170,18,6,30,FR,France
200335,3,1504,0,3349,3,0,6,FR,France
200334,3,2194,0,4889,4,0,9,FR,France
200333,3,1504,0,3921,3,0,7,FR,France
200332,3,1619,0,4072,3,0,7,FR,France
200331,3,5164,0,10601,9,0,18,FR,France
200330,3,3183,28,6338,5,0,10,FR,France
200329,3,6801,450,13152,11,0,22,FR,France
200328,3,3975,609,7341,7,1,13,FR,France
200327,3,2293,0,4605,4,0,8,FR,France
200326,3,5333,2138,8528,9,4,14,FR,France
200325,3,2602,0,5228,4,0,8,FR,France
200324,3,8429,0,19483,14,0,32,FR,France
200323,3,4821,1479,8163,8,2,14,FR,France
200322,3,2573,158,4988,4,0,8,FR,France
200321,3,5563,2465,8661,9,4,14,FR,France
200320,3,7554,3748,11360,13,7,19,FR,France
200319,3,8325,3777,12873,14,6,22,FR,France
200318,3,12268,6392,18144,20,10,30,FR,France
200317,3,46253,36234,56272,77,60,94,FR,France
200316,3,50759,39835,61683,85,67,103,FR,France
200315,3,69269,55778,82760,116,93,139,FR,France
200314,3,70084,55374,84794,117,92,142,FR,France
200313,3,70335,56370,84300,118,95,141,FR,France
200312,3,88582,73568,103596,148,123,173,FR,France
200311,3,99729,83353,116105,167,140,194,FR,France
200310,3,121516,104361,138671,203,174,232,FR,France
200309,3,177255,151800,202710,296,253,339,FR,France
200308,3,222638,194269,251007,372,325,419,FR,France
200307,3,237104,207851,266357,396,347,445,FR,France
200306,3,206955,177973,235937,346,298,394,FR,France
200305,3,151864,125877,177851,254,211,297,FR,France
200304,3,95356,76211,114501,159,127,191,FR,France
200303,3,50983,38264,63702,85,64,106,FR,France
200302,3,31447,21706,41188,53,37,69,FR,France
200301,3,31228,19202,43254,52,32,72,FR,France
200252,3,47016,33692,60340,79,57,101,FR,France
200251,3,47629,36912,58346,80,62,98,FR,France
200250,3,35221,26217,44225,59,44,74,FR,France
200249,3,24656,16900,32412,41,28,54,FR,France
200248,3,19799,12868,26730,33,21,45,FR,France
200247,3,16449,9214,23684,28,16,40,FR,France
200246,3,12753,5779,19727,21,9,33,FR,France
200245,3,19304,8475,30133,32,14,50,FR,France
200244,3,18082,10671,25493,30,18,42,FR,France
200243,3,14326,7548,21104,24,13,35,FR,France
200242,3,13774,7800,19748,23,13,33,FR,France
200241,3,11036,5650,16422,19,10,28,FR,France
200240,3,8137,3375,12899,14,6,22,FR,France
200239,3,15989,9892,22086,27,17,37,FR,France
200238,3,7067,3299,10835,12,6,18,FR,France
200237,3,12409,4981,19837,21,9,33,FR,France
200236,3,1679,0,4072,3,0,7,FR,France
200235,3,2126,0,6301,4,0,11,FR,France
200234,3,2843,0,7483,5,0,13,FR,France
200233,3,2670,0,5462,4,0,9,FR,France
200232,3,1087,0,3003,2,0,5,FR,France
200231,3,5455,399,10511,9,1,17,FR,France
200230,3,3601,0,7836,6,0,13,FR,France
200229,3,5576,379,10773,9,0,18,FR,France
200228,3,6602,0,14289,11,0,24,FR,France
200227,3,1882,0,6151,3,0,10,FR,France
200226,3,4523,0,12320,8,0,21,FR,France
200225,3,4765,1076,8454,8,2,14,FR,France
200224,3,12063,7174,16952,20,12,28,FR,France
200223,3,15468,9806,21130,26,16,36,FR,France
200222,3,4854,1696,8012,8,3,13,FR,France
200221,3,5901,2212,9590,10,4,16,FR,France
200220,3,3803,1215,6391,6,2,10,FR,France
200219,3,6139,2598,9680,10,4,16,FR,France
200218,3,6083,2646,9520,10,4,16,FR,France
200217,3,7223,2678,11768,12,4,20,FR,France
200216,3,17762,9887,25637,30,17,43,FR,France
200215,3,21654,13662,29646,36,23,49,FR,France
200214,3,23877,15709,32045,40,26,54,FR,France
200213,3,27497,16289,38705,46,27,65,FR,France
200212,3,33510,20938,46082,56,35,77,FR,France
200211,3,40426,29171,51681,68,49,87,FR,France
200210,3,42915,24537,61293,72,41,103,FR,France
200209,3,63735,48368,79102,107,81,133,FR,France
200208,3,117204,95548,138860,197,161,233,FR,France
200207,3,170251,137065,203437,286,230,342,FR,France
200206,3,325084,296111,354057,546,497,595,FR,France
200205,3,456186,422559,489813,767,710,824,FR,France
200204,3,504715,470859,538571,848,791,905,FR,France
200203,3,383720,353019,414421,645,593,697,FR,France
200202,3,244028,217752,270304,410,366,454,FR,France
200201,3,115422,95696,135148,194,161,227,FR,France
200152,3,57999,43225,72773,98,73,123,FR,France
200151,3,45961,36017,55905,78,61,95,FR,France
200150,3,31309,22878,39740,53,39,67,FR,France
200149,3,34792,23268,46316,59,40,78,FR,France
200148,3,43283,20164,66402,73,34,112,FR,France
200147,3,27455,20021,34889,46,33,59,FR,France
200146,3,21127,14294,27960,36,24,48,FR,France
200145,3,20766,13979,27553,35,24,46,FR,France
200144,3,11410,6593,16227,19,11,27,FR,France
200143,3,23311,15652,30970,39,26,52,FR,France
200142,3,18963,11652,26274,32,20,44,FR,France
200141,3,20241,14032,26450,34,24,44,FR,France
200140,3,18113,9971,26255,31,17,45,FR,France
200139,3,25407,7785,43029,43,13,73,FR,France
200138,3,9736,4985,14487,16,8,24,FR,France
200137,3,8025,3527,12523,14,6,22,FR,France
200136,3,4663,654,8672,8,1,15,FR,France
200135,3,4399,0,9810,7,0,16,FR,France
200134,3,2990,0,6419,5,0,11,FR,France
200133,3,0,0,0,0,0,0,FR,France
200132,3,0,0,0,0,0,0,FR,France
200131,3,18999,4286,33712,32,7,57,FR,France
200130,3,2144,0,5670,4,0,10,FR,France
200129,3,2408,0,5215,4,0,9,FR,France
200128,3,3555,553,6557,6,1,11,FR,France
200127,3,4739,1122,8356,8,2,14,FR,France
200126,3,3335,466,6204,6,1,11,FR,France
200125,3,2643,527,4759,4,0,8,FR,France
200124,3,4784,2158,7410,8,4,12,FR,France
200123,3,6299,3161,9437,11,6,16,FR,France
200122,3,4544,2006,7082,8,4,12,FR,France
200121,3,8925,4094,13756,15,7,23,FR,France
200120,3,15269,8883,21655,26,15,37,FR,France
200119,3,17369,10575,24163,29,18,40,FR,France
200118,3,21043,14262,27824,36,25,47,FR,France
200117,3,25787,19109,32465,44,33,55,FR,France
200116,3,24025,16833,31217,41,29,53,FR,France
200115,3,24188,17340,31036,41,29,53,FR,France
200114,3,40429,31774,49084,68,53,83,FR,France
200113,3,48644,39517,57771,82,67,97,FR,France
200112,3,45411,35780,55042,77,61,93,FR,France
200111,3,49809,40534,59084,84,68,100,FR,France
200110,3,46649,37240,56058,79,63,95,FR,France
200109,3,58623,47346,69900,99,80,118,FR,France
200108,3,77423,63237,91609,131,107,155,FR,France
200107,3,126970,107898,146042,215,183,247,FR,France
200106,3,225969,198142,253796,382,335,429,FR,France
200105,3,278674,249486,307862,471,422,520,FR,France
200104,3,209193,189129,229257,354,320,388,FR,France
200103,3,139823,124243,155403,236,210,262,FR,France
200102,3,105356,92392,118320,178,156,200,FR,France
200101,3,98930,84599,113261,167,143,191,FR,France
200052,3,143525,124203,162847,244,211,277,FR,France
200051,3,125224,108719,141729,213,185,241,FR,France
200050,3,99177,84857,113497,169,145,193,FR,France
200049,3,74170,54196,94144,126,92,160,FR,France
200048,3,43642,34064,53220,74,58,90,FR,France
200047,3,64848,11322,118374,110,19,201,FR,France
200046,3,20598,14053,27143,35,24,46,FR,France
200045,3,25375,17229,33521,43,29,57,FR,France
200044,3,16330,9762,22898,28,17,39,FR,France
200043,3,36951,27693,46209,63,47,79,FR,France
200042,3,41200,30772,51628,70,52,88,FR,France
200041,3,40022,30939,49105,68,53,83,FR,France
200040,3,27237,19986,34488,46,34,58,FR,France
200039,3,19338,12649,26027,33,22,44,FR,France
200038,3,7417,3193,11641,13,6,20,FR,France
200037,3,2243,0,4722,4,0,8,FR,France
200036,3,2990,0,6416,5,0,11,FR,France
200035,3,5590,0,12003,10,0,21,FR,France
200034,3,5188,0,12418,9,0,21,FR,France
200033,3,1690,0,3859,3,0,7,FR,France
200032,3,1405,0,4239,2,0,7,FR,France
200031,3,2159,0,4744,4,0,8,FR,France
200030,3,218,0,783,0,0,1,FR,France
200029,3,1532,0,3751,3,0,7,FR,France
200028,3,1071,0,2881,2,0,5,FR,France
200027,3,2427,150,4704,4,0,8,FR,France
200026,3,1997,0,4996,3,0,8,FR,France
200025,3,4239,221,8257,7,0,14,FR,France
200024,3,5411,1122,9700,9,2,16,FR,France
200023,3,8757,4101,13413,15,7,23,FR,France
200022,3,4966,1694,8238,8,2,14,FR,France
200021,3,4271,1389,7153,7,2,12,FR,France
200020,3,4520,1478,7562,8,3,13,FR,France
200019,3,13867,8548,19186,24,15,33,FR,France
200018,3,5386,2261,8511,9,4,14,FR,France
200017,3,7018,1581,12455,12,3,21,FR,France
200016,3,5328,1433,9223,9,2,16,FR,France
200015,3,12020,6436,17604,20,11,29,FR,France
200014,3,10942,5691,16193,19,10,28,FR,France
200013,3,8572,3443,13701,15,6,24,FR,France
200012,3,7081,3097,11065,12,5,19,FR,France
200011,3,12172,7447,16897,21,13,29,FR,France
200010,3,9091,5450,12732,15,9,21,FR,France
200009,3,14631,9200,20062,25,16,34,FR,France
200008,3,23647,17172,30122,40,29,51,FR,France
200007,3,59173,48440,69906,101,83,119,FR,France
200006,3,146517,129961,163073,249,221,277,FR,France
200005,3,261687,239983,283391,445,408,482,FR,France
200004,3,374822,349785,399859,637,594,680,FR,France
200003,3,484233,456706,511760,824,777,871,FR,France
200002,3,521069,492185,549953,886,837,935,FR,France
200001,3,541945,511326,572564,922,870,974,FR,France
199952,3,387655,360652,414658,663,617,709,FR,France
199951,3,272075,250906,293244,465,429,501,FR,France
199950,3,181113,164571,197655,310,282,338,FR,France
199949,3,112328,99058,125598,192,169,215,FR,France
199948,3,58710,48651,68769,100,83,117,FR,France
199947,3,35912,23462,48362,61,40,82,FR,France
199946,3,8601,1503,15699,15,3,27,FR,France
199945,3,17781,10817,24745,30,18,42,FR,France
199944,3,18238,12870,23606,31,22,40,FR,France
199943,3,18135,12601,23669,31,22,40,FR,France
199942,3,19183,13258,25108,33,23,43,FR,France
199941,3,25171,18689,31653,43,32,54,FR,France
199940,3,24185,16184,32186,41,27,55,FR,France
199939,3,28553,20776,36330,49,36,62,FR,France
199938,3,12430,7759,17101,21,13,29,FR,France
199937,3,7543,4283,10803,13,7,19,FR,France
199936,3,8191,2827,13555,14,5,23,FR,France
199935,3,3334,1188,5480,6,2,10,FR,France
199934,3,7600,0,27730,13,0,47,FR,France
199933,3,9757,354,19160,17,1,33,FR,France
199932,3,7149,0,15077,12,0,26,FR,France
199931,3,2640,0,5463,5,0,10,FR,France
199930,3,1478,0,3153,3,0,6,FR,France
199929,3,3983,498,7468,7,1,13,FR,France
199928,3,3731,712,6750,6,1,11,FR,France
199927,3,5004,1597,8411,9,3,15,FR,France
199926,3,3459,699,6219,6,1,11,FR,France
199925,3,5302,2057,8547,9,3,15,FR,France
199924,3,4327,1646,7008,7,2,12,FR,France
199923,3,5370,2374,8366,9,4,14,FR,France
199922,3,4404,1643,7165,8,3,13,FR,France
199921,3,4180,1485,6875,7,2,12,FR,France
199920,3,6073,2775,9371,10,4,16,FR,France
199919,3,6241,3220,9262,11,6,16,FR,France
199918,3,3057,678,5436,5,1,9,FR,France
199917,3,2904,701,5107,5,1,9,FR,France
199916,3,7539,3360,11718,13,6,20,FR,France
199915,3,11535,6814,16256,20,12,28,FR,France
199914,3,18730,13131,24329,32,22,42,FR,France
199913,3,38453,29560,47346,66,51,81,FR,France
199912,3,58090,48072,68108,99,82,116,FR,France
199911,3,91329,78686,103972,156,134,178,FR,France
199910,3,147976,131058,164894,253,224,282,FR,France
199909,3,207450,188710,226190,355,323,387,FR,France
199908,3,313293,292280,334306,536,500,572,FR,France
199907,3,524136,496702,551570,896,849,943,FR,France
199906,3,493908,466605,521211,844,797,891,FR,France
199905,3,476884,449696,504072,815,769,861,FR,France
199904,3,368514,345131,391897,630,590,670,FR,France
199903,3,242388,224208,260568,414,383,445,FR,France
199902,3,160657,145209,176105,275,249,301,FR,France
199901,3,130133,115125,145141,222,196,248,FR,France
199853,3,107611,92301,122921,185,159,211,FR,France
199852,3,72373,61032,83714,124,105,143,FR,France
199851,3,78179,67156,89202,134,115,153,FR,France
199850,3,54775,45478,64072,94,78,110,FR,France
199849,3,33385,26332,40438,57,45,69,FR,France
199848,3,22636,16668,28604,39,29,49,FR,France
199847,3,14505,9746,19264,25,17,33,FR,France
199846,3,13804,9049,18559,24,16,32,FR,France
199845,3,13021,8113,17929,22,14,30,FR,France
199844,3,12631,7410,17852,22,13,31,FR,France
199843,3,12180,7125,17235,21,12,30,FR,France
199842,3,18885,12726,25044,32,21,43,FR,France
199841,3,24196,17506,30886,42,31,53,FR,France
199840,3,20235,14114,26356,35,25,45,FR,France
199839,3,17075,11538,22612,29,20,38,FR,France
199838,3,10837,6336,15338,19,11,27,FR,France
199837,3,6968,3227,10709,12,6,18,FR,France
199836,3,3033,580,5486,5,1,9,FR,France
199835,3,2491,0,5022,4,0,8,FR,France
199834,3,3853,589,7117,7,1,13,FR,France
199833,3,2934,0,6598,5,0,11,FR,France
199832,3,1308,0,2894,2,0,5,FR,France
199831,3,12147,0,29237,21,0,50,FR,France
199830,3,5309,1628,8990,9,3,15,FR,France
199829,3,6486,2465,10507,11,4,18,FR,France
199828,3,9577,4464,14690,16,7,25,FR,France
199827,3,12358,7158,17558,21,12,30,FR,France
199826,3,10415,6547,14283,18,11,25,FR,France
199825,3,18246,13050,23442,31,22,40,FR,France
199824,3,16263,11126,21400,28,19,37,FR,France
199823,3,8553,4911,12195,15,9,21,FR,France
199822,3,5181,2669,7693,9,5,13,FR,France
199821,3,4751,2416,7086,8,4,12,FR,France
199820,3,12129,8099,16159,21,14,28,FR,France
199819,3,24118,17906,30330,41,30,52,FR,France
199818,3,31612,24512,38712,54,42,66,FR,France
199817,3,61148,51894,70402,105,89,121,FR,France
199816,3,123195,109878,136512,211,188,234,FR,France
199815,3,171603,156715,186491,294,268,320,FR,France
199814,3,319092,298398,339786,547,512,582,FR,France
199813,3,298212,278513,317911,512,478,546,FR,France
199812,3,263585,246356,280814,452,422,482,FR,France
199811,3,220578,204894,236262,378,351,405,FR,France
199810,3,202354,186304,218404,347,319,375,FR,France
199809,3,227553,209970,245136,390,360,420,FR,France
199808,3,271362,252005,290719,465,432,498,FR,France
199807,3,190187,173694,206680,326,298,354,FR,France
199806,3,88217,76829,99605,151,131,171,FR,France
199805,3,45180,36970,53390,77,63,91,FR,France
199804,3,30005,23272,36738,51,39,63,FR,France
199803,3,23900,18221,29579,41,31,51,FR,France
199802,3,31143,23994,38292,53,41,65,FR,France
199801,3,24809,17786,31832,43,31,55,FR,France
199752,3,29039,21984,36094,50,38,62,FR,France
199751,3,34924,27737,42111,60,48,72,FR,France
199750,3,33527,26388,40666,58,46,70,FR,France
199749,3,15978,11147,20809,27,19,35,FR,France
199748,3,11507,7744,15270,20,14,26,FR,France
199747,3,11059,7151,14967,19,12,26,FR,France
199746,3,8073,4613,11533,14,8,20,FR,France
199745,3,18202,13113,23291,31,22,40,FR,France
199744,3,19770,14405,25135,34,25,43,FR,France
199743,3,16707,11945,21469,29,21,37,FR,France
199742,3,15340,10351,20329,26,17,35,FR,France
199741,3,16933,11941,21925,29,20,38,FR,France
199740,3,13292,8709,17875,23,15,31,FR,France
199739,3,10189,6279,14099,18,11,25,FR,France
199738,3,3231,1061,5401,6,2,10,FR,France
199737,3,4542,1949,7135,8,4,12,FR,France
199736,3,5131,2205,8057,9,4,14,FR,France
199735,3,1842,0,3740,3,0,6,FR,France
199734,3,3226,0,6717,6,0,12,FR,France
199733,3,1799,0,4368,3,0,7,FR,France
199732,3,2086,0,4411,4,0,8,FR,France
199731,3,1386,0,3332,2,0,5,FR,France
199730,3,2116,0,4919,4,0,9,FR,France
199729,3,1973,0,4347,3,0,7,FR,France
199728,3,1560,216,2904,3,1,5,FR,France
199727,3,2540,754,4326,4,1,7,FR,France
199726,3,5582,2699,8465,10,5,15,FR,France
199725,3,4012,1090,6934,7,2,12,FR,France
199724,3,4696,1824,7568,8,3,13,FR,France
199723,3,4709,2136,7282,8,4,12,FR,France
199722,3,2283,665,3901,4,1,7,FR,France
199721,3,2108,664,3552,4,2,6,FR,France
199720,3,3257,1519,4995,6,3,9,FR,France
199719,3,4646,2436,6856,8,4,12,FR,France
199718,3,5246,2764,7728,9,5,13,FR,France
199717,3,14236,9906,18566,24,17,31,FR,France
199716,3,12169,8111,16227,21,14,28,FR,France
199715,3,9516,6192,12840,16,10,22,FR,France
199714,3,13602,9659,17545,23,16,30,FR,France
199713,3,18032,13345,22719,31,23,39,FR,France
199712,3,17199,12707,21691,30,22,38,FR,France
199711,3,19988,15419,24557,34,26,42,FR,France
199710,3,21903,17338,26468,38,30,46,FR,France
199709,3,29860,24261,35459,51,41,61,FR,France
199708,3,55445,47857,63033,95,82,108,FR,France
199707,3,70876,62518,79234,122,108,136,FR,France
199706,3,76906,68152,85660,132,117,147,FR,France
199705,3,95900,86095,105705,165,148,182,FR,France
199704,3,96896,87079,106713,167,150,184,FR,France
199703,3,143844,131917,155771,248,227,269,FR,France
199702,3,211578,197395,225761,364,340,388,FR,France
199701,3,280440,263783,297097,483,454,512,FR,France
199652,3,388201,369211,407191,670,637,703,FR,France
199651,3,640627,617388,663866,1106,1066,1146,FR,France
199650,3,535205,514568,555842,924,888,960,FR,France
199649,3,411498,393335,429661,710,679,741,FR,France
199648,3,195568,182563,208573,338,316,360,FR,France
199647,3,71980,63619,80341,124,110,138,FR,France
199646,3,32138,26358,37918,55,45,65,FR,France
199645,3,25551,20136,30966,44,35,53,FR,France
199644,3,10753,7230,14276,19,13,25,FR,France
199643,3,12971,9311,16631,22,16,28,FR,France
199642,3,11929,8472,15386,21,15,27,FR,France
199641,3,9918,6674,13162,17,11,23,FR,France
199640,3,10765,7067,14463,19,13,25,FR,France
199639,3,8377,5183,11571,14,8,20,FR,France
199638,3,9470,5965,12975,16,10,22,FR,France
199637,3,2925,829,5021,5,1,9,FR,France
199636,3,1122,23,2221,2,0,4,FR,France
199635,3,1674,93,3255,3,0,6,FR,France
199634,3,1273,122,2424,2,0,4,FR,France
199633,3,540,0,1246,1,0,2,FR,France
199632,3,1453,176,2730,3,1,5,FR,France
199631,3,3010,752,5268,5,1,9,FR,France
199630,3,2992,706,5278,5,1,9,FR,France
199629,3,1559,144,2974,3,1,5,FR,France
199628,3,3109,541,5677,5,1,9,FR,France
199627,3,4456,1595,7317,8,3,13,FR,France
199626,3,2871,1138,4604,5,2,8,FR,France
199625,3,2308,856,3760,4,1,7,FR,France
199624,3,2490,1067,3913,4,2,6,FR,France
199623,3,2819,1262,4376,5,2,8,FR,France
199622,3,4005,1984,6026,7,4,10,FR,France
199621,3,7042,4291,9793,12,7,17,FR,France
199620,3,10619,7365,13873,18,12,24,FR,France
199619,3,11898,8065,15731,21,14,28,FR,France
199618,3,18338,13352,23324,32,23,41,FR,France
199617,3,24954,19100,30808,43,33,53,FR,France
199616,3,29313,23868,34758,51,42,60,FR,France
199615,3,51703,43644,59762,89,75,103,FR,France
199614,3,44414,36774,52054,77,64,90,FR,France
199613,3,30622,25062,36182,53,43,63,FR,France
199612,3,31818,25852,37784,55,45,65,FR,France
199611,3,24427,19499,29355,42,33,51,FR,France
199610,3,20910,16198,25622,36,28,44,FR,France
199609,3,19594,15228,23960,34,26,42,FR,France
199608,3,19046,14850,23242,33,26,40,FR,France
199607,3,23041,18338,27744,40,32,48,FR,France
199606,3,21810,17153,26467,38,30,46,FR,France
199605,3,25275,20410,30140,44,36,52,FR,France
199604,3,43359,36948,49770,75,64,86,FR,France
199603,3,54691,48016,61366,94,82,106,FR,France
199602,3,105606,96106,115106,182,166,198,FR,France
199601,3,223830,209274,238386,386,361,411,FR,France
199552,3,397122,378252,415992,688,655,721,FR,France
199551,3,749988,725434,774542,1299,1256,1342,FR,France
199550,3,604926,583100,626752,1047,1009,1085,FR,France
199549,3,375500,358200,392800,650,620,680,FR,France
199548,3,206446,193457,219435,357,335,379,FR,France
199547,3,120472,110526,130418,209,192,226,FR,France
199546,3,62380,55042,69718,108,95,121,FR,France
199545,3,29791,24523,35059,52,43,61,FR,France
199544,3,13168,9820,16516,23,17,29,FR,France
199543,3,16188,12389,19987,28,21,35,FR,France
199542,3,15178,11387,18969,26,19,33,FR,France
199541,3,14980,10851,19109,26,19,33,FR,France
199540,3,16245,11610,20880,28,20,36,FR,France
199539,3,18499,13844,23154,32,24,40,FR,France
199538,3,13123,9410,16836,23,17,29,FR,France
199537,3,4895,2666,7124,8,4,12,FR,France
199536,3,3659,1574,5744,6,2,10,FR,France
199535,3,2496,644,4348,4,1,7,FR,France
199534,3,1887,214,3560,3,0,6,FR,France
199533,3,905,0,2007,2,0,4,FR,France
199532,3,700,0,1699,1,0,3,FR,France
199531,3,1946,92,3800,3,0,6,FR,France
199530,3,1898,46,3750,3,0,6,FR,France
199529,3,2148,687,3609,4,1,7,FR,France
199528,3,3312,1430,5194,6,3,9,FR,France
199527,3,4853,2683,7023,8,4,12,FR,France
199526,3,4986,2911,7061,9,5,13,FR,France
199525,3,4571,2520,6622,8,4,12,FR,France
199524,3,8058,5054,11062,14,9,19,FR,France
199523,3,13820,9801,17839,24,17,31,FR,France
199522,3,14124,9999,18249,24,17,31,FR,France
199521,3,11931,8655,15207,21,15,27,FR,France
199520,3,18846,14311,23381,33,25,41,FR,France
199519,3,26261,21488,31034,45,37,53,FR,France
199518,3,39231,33258,45204,68,58,78,FR,France
199517,3,88640,79343,97937,153,137,169,FR,France
199516,3,140488,129439,151537,243,224,262,FR,France
199515,3,181007,169110,192904,313,292,334,FR,France
199514,3,248704,235144,262264,431,408,454,FR,France
199513,3,209839,197191,222487,363,341,385,FR,France
199512,3,122434,112497,132371,212,195,229,FR,France
199511,3,81730,73346,90114,142,127,157,FR,France
199510,3,49387,42703,56071,86,74,98,FR,France
199509,3,39696,33259,46133,69,58,80,FR,France
199508,3,38008,32225,43791,66,56,76,FR,France
199507,3,30550,25479,35621,53,44,62,FR,France
199506,3,37351,32007,42695,65,56,74,FR,France
199505,3,27876,23218,32534,48,40,56,FR,France
199504,3,27643,22818,32468,48,40,56,FR,France
199503,3,24844,20391,29297,43,35,51,FR,France
199502,3,23480,19249,27711,41,34,48,FR,France
199501,3,26556,21916,31196,46,38,54,FR,France
199452,3,22036,17495,26577,38,30,46,FR,France
199451,3,26912,21750,32074,47,38,56,FR,France
199450,3,28831,23470,34192,50,41,59,FR,France
199449,3,21161,16559,25763,37,29,45,FR,France
199448,3,18487,14456,22518,32,25,39,FR,France
199447,3,15206,11578,18834,26,20,32,FR,France
199446,3,14252,10525,17979,25,19,31,FR,France
199445,3,12152,8448,15856,21,15,27,FR,France
199444,3,11307,7688,14926,20,14,26,FR,France
199443,3,11254,8002,14506,20,14,26,FR,France
199442,3,14406,10653,18159,25,18,32,FR,France
199441,3,14073,10341,17805,24,18,30,FR,France
199440,3,15962,11850,20074,28,21,35,FR,France
199439,3,15878,11643,20113,28,21,35,FR,France
199438,3,15366,11100,19632,27,20,34,FR,France
199437,3,5949,3561,8337,10,6,14,FR,France
199436,3,2806,1133,4479,5,2,8,FR,France
199435,3,4556,2358,6754,8,4,12,FR,France
199434,3,3459,1444,5474,6,2,10,FR,France
199433,3,4272,977,7567,7,1,13,FR,France
199432,3,4786,1613,7959,8,2,14,FR,France
199431,3,5027,1580,8474,9,3,15,FR,France
199430,3,2100,520,3680,4,1,7,FR,France
199429,3,1188,0,2384,2,0,4,FR,France
199428,3,1581,316,2846,3,1,5,FR,France
199427,3,713,0,1459,1,0,2,FR,France
199426,3,990,80,1900,2,0,4,FR,France
199425,3,5431,3222,7640,9,5,13,FR,France
199424,3,6288,3723,8853,11,7,15,FR,France
199423,3,6440,1052,11828,11,2,20,FR,France
199422,3,845,0,2449,1,0,4,FR,France
199421,3,2197,395,3999,4,1,7,FR,France
199420,3,2217,852,3582,4,2,6,FR,France
199419,3,1483,406,2560,3,1,5,FR,France
199418,3,3705,1940,5470,6,3,9,FR,France
199417,3,2288,1064,3512,4,2,6,FR,France
199416,3,5156,3176,7136,9,6,12,FR,France
199415,3,6952,4678,9226,12,8,16,FR,France
199414,3,4671,2784,6558,8,5,11,FR,France
199413,3,3343,1641,5045,6,3,9,FR,France
199412,3,4305,2412,6198,7,4,10,FR,France
199411,3,5399,3327,7471,9,5,13,FR,France
199410,3,4548,2529,6567,8,4,12,FR,France
199409,3,5635,3251,8019,10,6,14,FR,France
199408,3,9539,6652,12426,17,12,22,FR,France
199407,3,14639,11188,18090,25,19,31,FR,France
199406,3,17308,13395,21221,30,23,37,FR,France
199405,3,18489,14290,22688,32,25,39,FR,France
199404,3,23712,19048,28376,41,33,49,FR,France
199403,3,29882,24817,34947,52,43,61,FR,France
199402,3,47402,41415,53389,82,72,92,FR,France
199401,3,118119,108182,128056,205,188,222,FR,France
199352,3,233137,218608,247666,406,381,431,FR,France
199351,3,377472,359792,395152,658,627,689,FR,France
199350,3,627639,607097,648181,1094,1058,1130,FR,France
199349,3,898045,873419,922671,1565,1522,1608,FR,France
199348,3,527582,507752,547412,920,885,955,FR,France
199347,3,241371,226769,255973,421,396,446,FR,France
199346,3,76034,68003,84065,133,119,147,FR,France
199345,3,32289,27022,37556,56,47,65,FR,France
199344,3,17832,14015,21649,31,24,38,FR,France
199343,3,15098,11333,18863,26,19,33,FR,France
199342,3,19187,14893,23481,33,26,40,FR,France
199341,3,18285,14384,22186,32,25,39,FR,France
199340,3,13805,10348,17262,24,18,30,FR,France
199339,3,14783,11173,18393,26,20,32,FR,France
199338,3,10492,7329,13655,18,12,24,FR,France
199337,3,7023,4503,9543,12,8,16,FR,France
199336,3,4361,2445,6277,8,5,11,FR,France
199335,3,5589,3066,8112,10,6,14,FR,France
199334,3,2984,1209,4759,5,2,8,FR,France
199333,3,3217,758,5676,6,2,10,FR,France
199332,3,3755,1051,6459,7,2,12,FR,France
199331,3,4163,1768,6558,7,3,11,FR,France
199330,3,4055,1907,6203,7,3,11,FR,France
199329,3,3714,1668,5760,6,2,10,FR,France
199328,3,1774,484,3064,3,1,5,FR,France
199327,3,2574,918,4230,4,1,7,FR,France
199326,3,3048,1450,4646,5,2,8,FR,France
199325,3,8348,5260,11436,15,10,20,FR,France
199324,3,6624,3747,9501,12,7,17,FR,France
199323,3,7424,4302,10546,13,8,18,FR,France
199322,3,3432,1849,5015,6,3,9,FR,France
199321,3,5942,3670,8214,10,6,14,FR,France
199320,3,5137,3157,7117,9,6,12,FR,France
199319,3,4593,2725,6461,8,5,11,FR,France
199318,3,5027,3075,6979,9,6,12,FR,France
199317,3,8111,5138,11084,14,9,19,FR,France
199316,3,24932,19468,30396,43,33,53,FR,France
199315,3,22181,17147,27215,39,30,48,FR,France
199314,3,38266,30865,45667,67,54,80,FR,France
199313,3,62987,54506,71468,110,95,125,FR,France
199312,3,63493,55956,71030,111,98,124,FR,France
199311,3,80548,72628,88468,140,126,154,FR,France
199310,3,127910,117688,138132,223,205,241,FR,France
199309,3,184150,171378,196922,321,299,343,FR,France
199308,3,222932,209051,236813,389,365,413,FR,France
199307,3,248494,234936,262052,433,409,457,FR,France
199306,3,286939,271830,302048,500,474,526,FR,France
199305,3,255890,241516,270264,446,421,471,FR,France
199304,3,193107,181261,204953,337,316,358,FR,France
199303,3,147854,137256,158452,258,240,276,FR,France
199302,3,90269,82164,98374,157,143,171,FR,France
199301,3,75288,67244,83332,131,117,145,FR,France
199253,3,56622,49107,64137,99,86,112,FR,France
199252,3,49588,42568,56608,87,75,99,FR,France
199251,3,41156,35024,47288,72,61,83,FR,France
199250,3,40100,34699,45501,70,61,79,FR,France
199249,3,39146,33847,44445,69,60,78,FR,France
199248,3,32392,27499,37285,57,48,66,FR,France
199247,3,26276,21797,30755,46,38,54,FR,France
199246,3,22758,18462,27054,40,32,48,FR,France
199245,3,22023,17804,26242,39,32,46,FR,France
199244,3,27619,22945,32293,48,40,56,FR,France
199243,3,24969,20704,29234,44,37,51,FR,France
199242,3,29980,25261,34699,52,44,60,FR,France
199241,3,24091,19953,28229,42,35,49,FR,France
199240,3,17593,13885,21301,31,25,37,FR,France
199239,3,13535,10301,16769,24,18,30,FR,France
199238,3,9837,7106,12568,17,12,22,FR,France
199237,3,7480,5130,9830,13,9,17,FR,France
199236,3,5155,2958,7352,9,5,13,FR,France
199235,3,6383,3687,9079,11,6,16,FR,France
199234,3,2953,922,4984,5,1,9,FR,France
199233,3,4046,1549,6543,7,3,11,FR,France
199232,3,4963,2215,7711,9,4,14,FR,France
199231,3,4233,1733,6733,7,3,11,FR,France
199230,3,3091,1145,5037,5,2,8,FR,France
199229,3,3586,1583,5589,6,2,10,FR,France
199228,3,4179,2133,6225,7,3,11,FR,France
199227,3,5568,3134,8002,10,6,14,FR,France
199226,3,5886,3229,8543,10,5,15,FR,France
199225,3,5304,2805,7803,9,5,13,FR,France
199224,3,5928,3482,8374,10,6,14,FR,France
199223,3,3914,1855,5973,7,3,11,FR,France
199222,3,4899,2641,7157,9,5,13,FR,France
199221,3,5059,2889,7229,9,5,13,FR,France
199220,3,4308,2226,6390,8,4,12,FR,France
199219,3,2982,1181,4783,5,2,8,FR,France
199218,3,3887,1777,5997,7,3,11,FR,France
199217,3,3614,1216,6012,6,2,10,FR,France
199216,3,5460,2934,7986,10,6,14,FR,France
199215,3,8642,5029,12255,15,9,21,FR,France
199214,3,11346,7536,15156,20,13,27,FR,France
199213,3,11693,8096,15290,20,14,26,FR,France
199212,3,11752,7834,15670,21,14,28,FR,France
199211,3,11689,7575,15803,20,13,27,FR,France
199210,3,19224,12971,25477,34,23,45,FR,France
199209,3,26629,20275,32983,47,36,58,FR,France
199208,3,37667,30887,44447,66,54,78,FR,France
199207,3,57312,48777,65847,100,85,115,FR,France
199206,3,112450,99989,124911,197,175,219,FR,France
199205,3,165474,151342,179606,290,265,315,FR,France
199204,3,147959,133595,162323,259,234,284,FR,France
199203,3,137893,122944,152842,241,215,267,FR,France
199202,3,185852,166558,205146,325,291,359,FR,France
199201,3,247688,222574,272802,434,390,478,FR,France
199152,3,349815,325499,374131,615,572,658,FR,France
199151,3,378413,355928,400898,666,626,706,FR,France
199150,3,198721,182878,214564,350,322,378,FR,France
199149,3,93903,82992,104814,165,146,184,FR,France
199148,3,45173,37384,52962,79,65,93,FR,France
199147,3,35691,28224,43158,63,50,76,FR,France
199146,3,23685,17531,29839,42,31,53,FR,France
199145,3,19565,13551,25579,34,23,45,FR,France
199144,3,21571,15477,27665,38,27,49,FR,France
199143,3,28842,21958,35726,51,39,63,FR,France
199142,3,27483,20385,34581,48,36,60,FR,France
199141,3,28185,20655,35715,50,37,63,FR,France
199140,3,26740,16049,37431,47,28,66,FR,France
199139,3,14373,8734,20012,25,15,35,FR,France
199138,3,7460,3700,11220,13,6,20,FR,France
199137,3,2429,434,4424,4,0,8,FR,France
199136,3,2380,0,4882,4,0,8,FR,France
199135,3,2372,0,5025,4,0,9,FR,France
199134,3,2099,0,5104,4,0,9,FR,France
199133,3,1654,0,4102,3,0,7,FR,France
199132,3,625,0,2190,1,0,4,FR,France
199131,3,2464,0,5830,4,0,10,FR,France
199130,3,2382,0,6857,4,0,12,FR,France
199129,3,3837,40,7634,7,0,14,FR,France
199128,3,3297,152,6442,6,0,12,FR,France
199127,3,3164,934,5394,6,2,10,FR,France
199126,3,6376,3324,9428,11,6,16,FR,France
199125,3,8218,4776,11660,14,8,20,FR,France
199124,3,8223,4660,11786,14,8,20,FR,France
199123,3,6801,3596,10006,12,6,18,FR,France
199122,3,6050,2682,9418,11,5,17,FR,France
199121,3,6391,3385,9397,11,6,16,FR,France
199120,3,8633,4683,12583,15,8,22,FR,France
199119,3,7785,3986,11584,14,7,21,FR,France
199118,3,10856,6457,15255,19,11,27,FR,France
199117,3,15603,10950,20256,27,19,35,FR,France
199116,3,15665,11184,20146,28,20,36,FR,France
199115,3,15062,10715,19409,26,18,34,FR,France
199114,3,27862,21583,34141,49,38,60,FR,France
199113,3,32179,25829,38529,57,46,68,FR,France
199112,3,27873,22312,33434,49,39,59,FR,France
199111,3,46186,38876,53496,81,68,94,FR,France
199110,3,88750,77784,99716,156,137,175,FR,France
199109,3,139093,124326,153860,245,219,271,FR,France
199108,3,216369,198630,234108,381,350,412,FR,France
199107,3,208836,191789,225883,367,337,397,FR,France
199106,3,134737,121280,148194,237,213,261,FR,France
199105,3,73564,62716,84412,129,110,148,FR,France
199104,3,48253,39031,57475,85,69,101,FR,France
199103,3,29382,22258,36506,52,39,65,FR,France
199102,3,29759,22044,37474,52,38,66,FR,France
199101,3,42927,33706,52148,76,60,92,FR,France
199052,3,41262,31607,50917,73,56,90,FR,France
199051,3,46924,37544,56304,83,66,100,FR,France
199050,3,44125,36137,52113,78,64,92,FR,France
199049,3,38379,30603,46155,68,54,82,FR,France
199048,3,29571,22315,36827,52,39,65,FR,France
199047,3,23358,15890,30826,41,28,54,FR,France
199046,3,20246,7930,32562,36,14,58,FR,France
199045,3,17571,11591,23551,31,20,42,FR,France
199044,3,16182,10305,22059,29,19,39,FR,France
199043,3,17579,11588,23570,31,20,42,FR,France
199042,3,13011,7875,18147,23,14,32,FR,France
199041,3,19723,13330,26116,35,24,46,FR,France
199040,3,20433,14614,26252,36,26,46,FR,France
199039,3,15618,10315,20921,28,19,37,FR,France
199038,3,11146,6197,16095,20,11,29,FR,France
199037,3,4051,1022,7080,7,2,12,FR,France
199036,3,2542,124,4960,4,0,8,FR,France
199035,3,934,0,2681,2,0,5,FR,France
199034,3,201,0,595,0,0,1,FR,France
199033,3,0,0,0,0,0,0,FR,France
199032,3,1399,0,3849,2,0,6,FR,France
199031,3,881,0,2206,2,0,4,FR,France
199030,3,425,0,1262,1,0,2,FR,France
199029,3,1077,0,2643,2,0,5,FR,France
199028,3,959,0,2252,2,0,4,FR,France
199027,3,2948,793,5103,5,1,9,FR,France
199026,3,7236,2651,11821,13,5,21,FR,France
199025,3,7879,3136,12622,14,6,22,FR,France
199024,3,5727,2460,8994,10,4,16,FR,France
199023,3,3655,1043,6267,6,1,11,FR,France
199022,3,4196,1292,7100,7,2,12,FR,France
199021,3,1004,0,2367,2,0,4,FR,France
199020,3,4506,1771,7241,8,3,13,FR,France
199019,3,5897,2440,9354,10,4,16,FR,France
199018,3,1738,141,3335,3,0,6,FR,France
199017,3,5278,2197,8359,9,4,14,FR,France
199016,3,8129,3754,12504,14,6,22,FR,France
199015,3,11707,5831,17583,21,11,31,FR,France
199014,3,12862,8177,17547,23,15,31,FR,France
199013,3,21879,15088,28670,39,27,51,FR,France
199012,3,17035,11135,22935,30,20,40,FR,France
199011,3,20018,14311,25725,35,25,45,FR,France
199010,3,16294,11045,21543,29,20,38,FR,France
199009,3,21793,15460,28126,39,28,50,FR,France
199008,3,26110,19342,32878,46,34,58,FR,France
199007,3,61742,49720,73764,109,88,130,FR,France
199006,3,399984,353345,446623,707,625,789,FR,France
199005,3,161765,146354,177176,286,259,313,FR,France
199004,3,287771,267698,307844,509,474,544,FR,France
199003,3,315466,296550,334382,558,525,591,FR,France
199002,3,345060,326087,364033,610,576,644,FR,France
199001,3,483600,460913,506287,855,815,895,FR,France
198952,3,581149,556023,606275,1035,990,1080,FR,France
198951,3,821540,793846,849234,1463,1414,1512,FR,France
198950,3,749283,723633,774933,1334,1288,1380,FR,France
198949,3,358043,340053,376033,638,606,670,FR,France
198948,3,119087,108253,129921,212,193,231,FR,France
198947,3,40963,33897,48029,73,60,86,FR,France
198946,3,23547,17952,29142,42,32,52,FR,France
198945,3,22711,16999,28423,40,30,50,FR,France
198944,3,23405,17475,29335,42,31,53,FR,France
198943,3,29549,23287,35811,53,42,64,FR,France
198942,3,39410,32172,46648,70,57,83,FR,France
198941,3,43763,35245,52281,78,63,93,FR,France
198940,3,31453,24288,38618,56,43,69,FR,France
198939,3,24622,18425,30819,44,33,55,FR,France
198938,3,18296,13483,23109,33,24,42,FR,France
198937,3,12022,8082,15962,21,14,28,FR,France
198936,3,4769,2299,7239,8,4,12,FR,France
198935,3,4661,1696,7626,8,3,13,FR,France
198934,3,6039,2185,9893,11,4,18,FR,France
198933,3,7940,3858,12022,14,7,21,FR,France
198932,3,7114,2361,11867,13,5,21,FR,France
198931,3,2721,0,5478,5,0,10,FR,France
198930,3,3168,561,5775,6,1,11,FR,France
198929,3,3909,1504,6314,7,3,11,FR,France
198928,3,1284,105,2463,2,0,4,FR,France
198927,3,3641,1350,5932,6,2,10,FR,France
198926,3,5753,2885,8621,10,5,15,FR,France
198925,3,6299,3454,9144,11,6,16,FR,France
198924,3,6337,3537,9137,11,6,16,FR,France
198923,3,11779,7984,15574,21,14,28,FR,France
198922,3,9104,4764,13444,16,8,24,FR,France
198921,3,9554,4316,14792,17,8,26,FR,France
198920,3,6093,1023,11163,11,2,20,FR,France
198919,3,0,,,0,,,FR,France
198918,3,13452,1365,25539,24,2,46,FR,France
198917,3,10949,7147,14751,19,12,26,FR,France
198916,3,10908,7494,14322,19,13,25,FR,France
198915,3,9667,6209,13125,17,11,23,FR,France
198914,3,15230,10469,19991,27,19,35,FR,France
198913,3,10564,6767,14361,19,12,26,FR,France
198912,3,13419,9542,17296,24,17,31,FR,France
198911,3,16633,12140,21126,30,22,38,FR,France
198910,3,12387,8750,16024,22,16,28,FR,France
198909,3,12895,9183,16607,23,16,30,FR,France
198908,3,19746,15258,24234,35,27,43,FR,France
198907,3,27277,21760,32794,49,39,59,FR,France
198906,3,47844,40320,55368,85,72,98,FR,France
198905,3,52840,45665,60015,94,81,107,FR,France
198904,3,54942,47750,62134,98,85,111,FR,France
198903,3,66010,58065,73955,118,104,132,FR,France
198902,3,112284,102003,122565,200,182,218,FR,France
198901,3,202266,188305,216227,360,335,385,FR,France
198852,3,467971,447033,488909,837,800,874,FR,France
198851,3,872748,846468,899028,1562,1515,1609,FR,France
198850,3,1001824,974799,1028849,1793,1745,1841,FR,France
198849,3,966523,940068,992978,1729,1682,1776,FR,France
198848,3,637811,614785,660837,1141,1100,1182,FR,France
198847,3,246062,231234,260890,440,413,467,FR,France
198846,3,92484,83160,101808,165,148,182,FR,France
198845,3,53940,46148,61732,97,83,111,FR,France
198844,3,42106,35336,48876,75,63,87,FR,France
198843,3,38252,31909,44595,68,57,79,FR,France
198842,3,45495,38467,52523,81,68,94,FR,France
198841,3,46336,39344,53328,83,70,96,FR,France
198840,3,39882,33507,46257,71,60,82,FR,France
198839,3,43730,36755,50705,78,66,90,FR,France
198838,3,35243,29367,41119,63,52,74,FR,France
198837,3,15537,11911,19163,28,22,34,FR,France
198836,3,7539,4840,10238,13,8,18,FR,France
198835,3,7797,4762,10832,14,9,19,FR,France
198834,3,4950,2005,7895,9,4,14,FR,France
198833,3,7937,3861,12013,14,7,21,FR,France
198832,3,7033,2595,11471,13,5,21,FR,France
198831,3,8758,3591,13925,16,7,25,FR,France
198830,3,4205,1224,7186,8,3,13,FR,France
198829,3,6103,1013,11193,11,2,20,FR,France
198828,3,8562,3483,13641,15,6,24,FR,France
198827,3,4690,2196,7184,8,4,12,FR,France
198826,3,7065,3905,10225,13,7,19,FR,France
198825,3,7657,4664,10650,14,9,19,FR,France
198824,3,6676,3978,9374,12,7,17,FR,France
198823,3,8695,5755,11635,16,11,21,FR,France
198822,3,11566,8282,14850,21,15,27,FR,France
198821,3,11107,7742,14472,20,14,26,FR,France
198820,3,14118,10223,18013,25,18,32,FR,France
198819,3,18260,13847,22673,33,25,41,FR,France
198818,3,20415,16281,24549,37,30,44,FR,France
198817,3,21750,17436,26064,39,31,47,FR,France
198816,3,33730,27496,39964,60,49,71,FR,France
198815,3,70616,61754,79478,126,110,142,FR,France
198814,3,123868,113211,134525,222,203,241,FR,France
198813,3,193710,181519,205901,347,325,369,FR,France
198812,3,283445,268834,298056,507,481,533,FR,France
198811,3,316175,300858,331492,566,539,593,FR,France
198810,3,235142,222004,248280,421,397,445,FR,France
198809,3,135564,125263,145865,243,225,261,FR,France
198808,3,87753,78449,97057,157,140,174,FR,France
198807,3,77099,68423,85775,138,122,154,FR,France
198806,3,69349,61502,77196,124,110,138,FR,France
198805,3,72705,64952,80458,130,116,144,FR,France
198804,3,72818,64944,80692,130,116,144,FR,France
198803,3,68869,60922,76816,123,109,137,FR,France
198802,3,59743,51907,67579,107,93,121,FR,France
198801,3,60929,52573,69285,109,94,124,FR,France
198753,3,47257,38170,56344,85,69,101,FR,France
198752,3,11935,2353,21517,21,4,38,FR,France
198751,3,47744,34266,61222,86,62,110,FR,France
198750,3,57767,50181,65353,104,90,118,FR,France
198749,3,49380,42461,56299,89,77,101,FR,France
198748,3,41871,35115,48627,75,63,87,FR,France
198747,3,29688,23465,35911,53,42,64,FR,France
198746,3,37216,30199,44233,67,54,80,FR,France
198745,3,35456,29024,41888,64,52,76,FR,France
198744,3,41024,33829,48219,74,61,87,FR,France
198743,3,46356,38370,54342,83,69,97,FR,France
198742,3,38021,30236,45806,68,54,82,FR,France
198741,3,42021,32016,52026,76,58,94,FR,France
198740,3,24641,15930,33352,44,28,60,FR,France
198739,3,32328,23548,41108,58,42,74,FR,France
198738,3,16782,11870,21694,30,21,39,FR,France
198737,3,11208,6542,15874,20,12,28,FR,France
198736,3,7906,4014,11798,14,7,21,FR,France
198735,3,6149,2970,9328,11,5,17,FR,France
198734,3,6631,2734,10528,12,5,19,FR,France
198733,3,6404,1834,10974,12,4,20,FR,France
198732,3,7215,2353,12077,13,4,22,FR,France
198731,3,8233,3655,12811,15,7,23,FR,France
198730,3,4642,1301,7983,8,2,14,FR,France
198729,3,4389,913,7865,8,2,14,FR,France
198728,3,2702,138,5266,5,0,10,FR,France
198727,3,10171,5904,14438,18,10,26,FR,France
198726,3,12341,7824,16858,22,14,30,FR,France
198725,3,23413,15490,31336,42,28,56,FR,France
198724,3,11289,7282,15296,20,13,27,FR,France
198723,3,15857,10943,20771,29,20,38,FR,France
198722,3,14887,9743,20031,27,18,36,FR,France
198721,3,17619,12649,22589,32,23,41,FR,France
198720,3,10344,6454,14234,19,12,26,FR,France
198719,3,12539,7943,17135,23,15,31,FR,France
198718,3,16095,10330,21860,29,19,39,FR,France
198717,3,21256,14850,27662,38,26,50,FR,France
198716,3,32416,25100,39732,58,45,71,FR,France
198715,3,44292,36456,52128,80,66,94,FR,France
198714,3,50642,41866,59418,91,75,107,FR,France
198713,3,62246,52749,71743,112,95,129,FR,France
198712,3,59625,50653,68597,107,91,123,FR,France
198711,3,53561,45035,62087,96,81,111,FR,France
198710,3,93067,80519,105615,167,144,190,FR,France
198709,3,147006,133519,160493,264,240,288,FR,France
198708,3,217779,202179,233379,391,363,419,FR,France
198707,3,288180,270718,305642,518,487,549,FR,France
198706,3,296702,279051,314353,533,501,565,FR,France
198705,3,236046,219483,252609,424,394,454,FR,France
198704,3,158333,143625,173041,285,259,311,FR,France
198703,3,103841,91699,115983,187,165,209,FR,France
198702,3,74213,64014,84412,133,115,151,FR,France
198701,3,69745,59207,80283,125,106,144,FR,France
198652,3,76263,64958,87568,138,118,158,FR,France
198651,3,72920,63047,82793,132,114,150,FR,France
198650,3,73413,64019,82807,133,116,150,FR,France
198649,3,56296,48229,64363,102,87,117,FR,France
198648,3,46031,38578,53484,83,70,96,FR,France
198647,3,36740,29710,43770,66,53,79,FR,France
198646,3,32134,25327,38941,58,46,70,FR,France
198645,3,38964,31382,46546,70,56,84,FR,France
198644,3,28646,22048,35244,52,40,64,FR,France
198643,3,27532,20842,34222,50,38,62,FR,France
198642,3,31815,25124,38506,57,45,69,FR,France
198641,3,32864,25939,39789,59,47,71,FR,France
198640,3,33516,26776,40256,60,48,72,FR,France
198639,3,28665,22477,34853,52,41,63,FR,France
198638,3,26615,20479,32751,48,37,59,FR,France
198637,3,15998,10802,21194,29,20,38,FR,France
198636,3,9182,4982,13382,17,9,25,FR,France
198635,3,10587,4470,16704,19,8,30,FR,France
198634,3,5762,858,10666,10,1,19,FR,France
198633,3,3115,554,5676,6,1,11,FR,France
198632,3,1027,0,2311,2,0,4,FR,France
198631,3,2247,0,4574,4,0,8,FR,France
198630,3,2346,141,4551,4,0,8,FR,France
198629,3,3654,931,6377,7,2,12,FR,France
198628,3,2327,0,5318,4,0,9,FR,France
198627,3,7529,3353,11705,14,6,22,FR,France
198626,3,8778,5106,12450,16,9,23,FR,France
198625,3,11075,6804,15346,20,12,28,FR,France
198624,3,11160,7252,15068,20,13,27,FR,France
198623,3,14372,9896,18848,26,18,34,FR,France
198622,3,9717,5594,13840,18,11,25,FR,France
198621,3,14460,9575,19345,26,17,35,FR,France
198620,3,17133,12106,22160,31,22,40,FR,France
198619,3,22177,16008,28346,40,29,51,FR,France
198618,3,31736,24115,39357,57,43,71,FR,France
198617,3,34874,27440,42308,63,50,76,FR,France
198616,3,41196,32894,49498,74,59,89,FR,France
198615,3,42659,33537,51781,77,61,93,FR,France
198614,3,49792,39728,59856,90,72,108,FR,France
198613,3,87249,63562,110936,157,114,200,FR,France
198612,3,124777,97237,152317,225,175,275,FR,France
198611,3,168146,151035,185257,303,272,334,FR,France
198610,3,257305,231225,283385,464,417,511,FR,France
198609,3,321140,296644,345636,580,536,624,FR,France
198608,3,448786,419219,478353,810,757,863,FR,France
198607,3,490723,460150,521296,886,831,941,FR,France
198606,3,439300,411764,466836,793,743,843,FR,France
198605,3,364727,339868,389586,658,613,703,FR,France
198604,3,348509,322464,374554,629,582,676,FR,France
198603,3,271539,248654,294424,490,449,531,FR,France
198602,3,178138,159344,196932,322,288,356,FR,France
198601,3,112614,96539,128689,203,174,232,FR,France
198552,3,86452,72250,100654,157,131,183,FR,France
198551,3,114666,99538,129794,208,181,235,FR,France
198550,3,86031,73604,98458,156,133,179,FR,France
198549,3,65931,55326,76536,120,101,139,FR,France
198548,3,68291,57581,79001,124,105,143,FR,France
198547,3,66177,55221,77133,120,100,140,FR,France
198546,3,70534,58788,82280,128,107,149,FR,France
198545,3,57514,47167,67861,104,85,123,FR,France
198544,3,67356,55744,78968,122,101,143,FR,France
198543,3,87402,74208,100596,158,134,182,FR,France
198542,3,76218,64604,87832,138,117,159,FR,France
198541,3,45712,36755,54669,83,67,99,FR,France
198540,3,49739,40335,59143,90,73,107,FR,France
198539,3,39819,31234,48404,72,56,88,FR,France
198538,3,27605,20614,34596,50,37,63,FR,France
198537,3,22219,15626,28812,40,28,52,FR,France
198536,3,27986,18992,36980,51,35,67,FR,France
198535,3,30215,18546,41884,55,34,76,FR,France
198534,3,40389,24786,55992,73,45,101,FR,France
198533,3,22611,8819,36403,41,16,66,FR,France
198532,3,7488,1851,13125,14,4,24,FR,France
198531,3,16958,8479,25437,31,16,46,FR,France
198530,3,11598,5507,17689,21,10,32,FR,France
198529,3,13054,6474,19634,24,12,36,FR,France
198528,3,14588,7659,21517,26,13,39,FR,France
198527,3,19670,11761,27579,36,22,50,FR,France
198526,3,18609,12637,24581,34,23,45,FR,France
198525,3,19362,12454,26270,35,22,48,FR,France
198524,3,19855,13577,26133,36,25,47,FR,France
198523,3,19373,10010,28736,35,18,52,FR,France
198522,3,24099,17190,31008,44,31,57,FR,France
198521,3,26096,19621,32571,47,35,59,FR,France
198520,3,27896,20885,34907,51,38,64,FR,France
198519,3,43154,32821,53487,78,59,97,FR,France
198518,3,40555,29935,51175,74,55,93,FR,France
198517,3,34053,24366,43740,62,44,80,FR,France
198516,3,50362,36451,64273,91,66,116,FR,France
198515,3,63881,45538,82224,116,83,149,FR,France
198514,3,134545,114400,154690,244,207,281,FR,France
198513,3,197206,176080,218332,357,319,395,FR,France
198512,3,245240,223304,267176,445,405,485,FR,France
198511,3,276205,252399,300011,501,458,544,FR,France
198510,3,353231,326279,380183,640,591,689,FR,France
198509,3,369895,341109,398681,670,618,722,FR,France
198508,3,389886,359529,420243,707,652,762,FR,France
198507,3,471852,432599,511105,855,784,926,FR,France
198506,3,565825,518011,613639,1026,939,1113,FR,France
198505,3,637302,592795,681809,1155,1074,1236,FR,France
198504,3,424937,390794,459080,770,708,832,FR,France
198503,3,213901,174689,253113,388,317,459,FR,France
198502,3,97586,80949,114223,177,147,207,FR,France
198501,3,85489,65918,105060,155,120,190,FR,France
198452,3,84830,60602,109058,154,110,198,FR,France
198451,3,101726,80242,123210,185,146,224,FR,France
198450,3,123680,101401,145959,225,184,266,FR,France
198449,3,101073,81684,120462,184,149,219,FR,France
198448,3,78620,60634,96606,143,110,176,FR,France
198447,3,72029,54274,89784,131,99,163,FR,France
198446,3,87330,67686,106974,159,123,195,FR,France
198445,3,135223,101414,169032,246,184,308,FR,France
198444,3,68422,20056,116788,125,37,213,FR,France
module3/data_6.csv 0 → 100644
View file @ e8e42a72
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@date=2022-06-04T12:28:03+02:00\nweek,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name\n202221,3,17538,12255,22821,26,18,34,FR,France\n202220,3,20413,16271,24555,31,25,37,FR,France\n202219,3,17874,14068,21680,27,21,33,FR,France\n202218,3,30353,25089,35617,46,38,54,FR,France\n202217,3,36006,30373,41639,54,46,62,FR,France\n202216,3,49949,42836,57062,75,64,86,FR,France\n202215,3,100806,90824,110788,152,137,167,FR,France\n202214,3,155441,143891,166991,234,217,251,FR,France\n202213,3,191914,179558,204270,289,270,308,FR,France\n202212,3,166224,155035,177413,251,234,268,FR,France\n202211,3,122849,113306,132392,185,171,199,FR,France\n202210,3,87904,79741,96067,133,121,145,FR,France\n202209,3,50182,43958,56406,76,67,85,FR,France\n202208,3,30963,25942,35984,47,39,55,FR,France\n202207,3,34882,29446,40318,53,45,61,FR,France\n202206,3,46623,40398,52848,70,61,79,FR,France\n202205,3,62970,56043,69897,95,85,105,FR,France\n202204,3,72209,64804,79614,109,98,120,FR,France\n202203,3,74613,67144,82082,113,102,124,FR,France\n202202,3,55920,49511,62329,84,74,94,FR,France\n202201,3,57629,50699,64559,87,77,97,FR,France\n202152,3,54349,47029,61669,82,71,93,FR,France\n202151,3,41698,35359,48037,63,53,73,FR,France\n202150,3,38117,32497,43737,58,49,67,FR,France\n202149,3,40168,34716,45620,61,53,69,FR,France\n202148,3,41842,36364,47320,63,55,71,FR,France\n202147,3,36598,31338,41858,55,47,63,FR,France\n202146,3,30059,25302,34816,46,39,53,FR,France\n202145,3,20364,16564,24164,31,25,37,FR,France\n202144,3,18999,15042,22956,29,23,35,FR,France\n202143,3,27040,21935,32145,41,33,49,FR,France\n202142,3,28343,23382,33304,43,35,51,FR,France\n202141,3,25043,20586,29500,38,31,45,FR,France\n202140,3,26286,21842,30730,40,33,47,FR,France\n202139,3,22155,18014,26296,34,28,40,FR,France\n202138,3,15614,12310,18918,24,19,29,FR,France\n202137,3,13673,10404,16942,21,16,26,FR,France\n202136,3,10289,7505,13073,16,12,20,FR,France\n202135,3,12609,9282,15936,19,14,24,FR,France\n202134,3,13081,9540,16622,20,15,25,FR,France\n202133,3,10392,7042,13742,16,11,21,FR,France\n202132,3,15586,11009,20163,24,17,31,FR,France\n202131,3,18855,13664,24046,29,21,37,FR,France\n202130,3,13991,9695,18287,21,14,28,FR,France\n202129,3,13626,9618,17634,21,15,27,FR,France\n202128,3,8636,5430,11842,13,8,18,FR,France\n202127,3,10693,6838,14548,16,10,22,FR,France\n202126,3,7086,4109,10063,11,6,16,FR,France\n202125,3,7942,5540,10344,12,8,16,FR,France\n202124,3,4855,3011,6699,7,4,10,FR,France\n202123,3,6710,4455,8965,10,7,13,FR,France\n202122,3,7879,5495,10263,12,8,16,FR,France\n202121,3,7827,5403,10251,12,8,16,FR,France\n202120,3,10278,7540,13016,16,12,20,FR,France\n202119,3,9539,6860,12218,14,10,18,FR,France\n202118,3,12135,9165,15105,18,14,22,FR,France\n202117,3,12058,8891,15225,18,13,23,FR,France\n202116,3,16505,12735,20275,25,19,31,FR,France\n202115,3,19306,15398,23214,29,23,35,FR,France\n202114,3,21073,17099,25047,32,26,38,FR,France\n202113,3,26413,22094,30732,40,33,47,FR,France\n202112,3,30658,25919,35397,46,39,53,FR,France\n202111,3,24988,20718,29258,38,32,44,FR,France\n202110,3,19539,15951,23127,30,25,35,FR,France\n202109,3,17572,13926,21218,27,21,33,FR,France\n202108,3,20882,16907,24857,32,26,38,FR,France\n202107,3,22393,18303,26483,34,28,40,FR,France\n202106,3,23183,19134,27232,35,29,41,FR,France\n202105,3,22426,18445,26407,34,28,40,FR,France\n202104,3,25804,21491,30117,39,32,46,FR,France\n202103,3,21810,17894,25726,33,27,39,FR,France\n202102,3,17320,13906,20734,26,21,31,FR,France\n202101,3,21799,17778,25820,33,27,39,FR,France\n202053,3,21220,16498,25942,32,25,39,FR,France\n202052,3,16428,12285,20571,25,19,31,FR,France\n202051,3,21619,17370,25868,33,27,39,FR,France\n202050,3,16845,13220,20470,26,20,32,FR,France\n202049,3,12939,9923,15955,20,15,25,FR,France\n202048,3,13804,10641,16967,21,16,26,FR,France\n202047,3,19085,15285,22885,29,23,35,FR,France\n202046,3,24801,20503,29099,38,31,45,FR,France\n202045,3,42516,36857,48175,65,56,74,FR,France\n202044,3,44567,38521,50613,68,59,77,FR,France\n202043,3,43799,37581,50017,67,58,76,FR,France\n202042,3,35183,29847,40519,53,45,61,FR,France\n202041,3,27926,23251,32601,42,35,49,FR,France\n202040,3,20443,16381,24505,31,25,37,FR,France\n202039,3,19810,15900,23720,30,24,36,FR,France\n202038,3,25559,21141,29977,39,32,46,FR,France\n202037,3,18485,14649,22321,28,22,34,FR,France\n202036,3,10390,7646,13134,16,12,20,FR,France\n202035,3,9918,6842,12994,15,10,20,FR,France\n202034,3,6084,3090,9078,9,4,14,FR,France\n202033,3,6106,3411,8801,9,5,13,FR,France\n202032,3,5918,3330,8506,9,5,13,FR,France\n202031,3,4351,2269,6433,7,4,10,FR,France\n202030,3,8179,5442,10916,12,8,16,FR,France\n202029,3,8687,5860,11514,13,9,17,FR,France\n202028,3,8325,5688,10962,13,9,17,FR,France\n202027,3,4066,2406,5726,6,3,9,FR,France\n202026,3,4039,2389,5689,6,3,9,FR,France\n202025,3,2853,1488,4218,4,2,6,FR,France\n202024,3,3058,1690,4426,5,3,7,FR,France\n202023,3,4168,2468,5868,6,3,9,FR,France\n202022,3,3580,1947,5213,5,3,7,FR,France\n202021,3,6114,4026,8202,9,6,12,FR,France\n202020,3,9315,6775,11855,14,10,18,FR,France\n202019,3,11679,8722,14636,18,14,22,FR,France\n202018,3,16398,12851,19945,25,20,30,FR,France\n202017,3,18082,14454,21710,27,21,33,FR,France\n202016,3,24165,19893,28437,37,31,43,FR,France\n202015,3,41049,35377,46721,62,53,71,FR,France\n202014,3,71666,64531,78801,109,98,120,FR,France\n202013,3,107742,99187,116297,164,151,177,FR,France\n202012,3,107283,98610,115956,163,150,176,FR,France\n202011,3,112943,104468,121418,172,159,185,FR,France\n202010,3,105145,96812,113478,160,147,173,FR,France\n202009,3,110696,102066,119326,168,155,181,FR,France\n202008,3,143753,133984,153522,218,203,233,FR,France\n202007,3,183610,172812,194408,279,263,295,FR,France\n202006,3,206669,195481,217857,314,297,331,FR,France\n202005,3,187957,177445,198469,285,269,301,FR,France\n202004,3,122331,113492,131170,186,173,199,FR,France\n202003,3,78413,71330,85496,119,108,130,FR,France\n202002,3,53614,47654,59574,81,72,90,FR,France\n202001,3,36850,31608,42092,56,48,64,FR,France\n201952,3,28135,23220,33050,43,36,50,FR,France\n201951,3,29786,25042,34530,45,38,52,FR,France\n201950,3,34223,29156,39290,52,44,60,FR,France\n201949,3,25662,21414,29910,39,33,45,FR,France\n201948,3,22367,18055,26679,34,27,41,FR,France\n201947,3,18669,14759,22579,28,22,34,FR,France\n201946,3,16030,12567,19493,24,19,29,FR,France\n201945,3,10138,7160,13116,15,10,20,FR,France\n201944,3,7822,5010,10634,12,8,16,FR,France\n201943,3,9487,6448,12526,14,9,19,FR,France\n201942,3,7747,5243,10251,12,8,16,FR,France\n201941,3,7122,4720,9524,11,7,15,FR,France\n201940,3,8505,5784,11226,13,9,17,FR,France\n201939,3,7091,4462,9720,11,7,15,FR,France\n201938,3,4897,2891,6903,7,4,10,FR,France\n201937,3,3172,1367,4977,5,2,8,FR,France\n201936,3,2295,728,3862,3,1,5,FR,France\n201935,3,1010,2,2018,2,0,4,FR,France\n201934,3,1672,279,3065,3,1,5,FR,France\n201933,3,1593,68,3118,2,0,4,FR,France\n201932,3,1592,71,3113,2,0,4,FR,France\n201931,3,2337,695,3979,4,2,6,FR,France\n201930,3,1944,415,3473,3,1,5,FR,France\n201929,3,2096,420,3772,3,0,6,FR,France\n201928,3,1195,125,2265,2,0,4,FR,France\n201927,3,2466,848,4084,4,2,6,FR,France\n201926,3,1798,402,3194,3,1,5,FR,France\n201925,3,1544,389,2699,2,0,4,FR,France\n201924,3,876,17,1735,1,0,2,FR,France\n201923,3,2004,748,3260,3,1,5,FR,France\n201922,3,2181,602,3760,3,1,5,FR,France\n201921,3,2585,1102,4068,4,2,6,FR,France\n201920,3,2891,1202,4580,4,1,7,FR,France\n201919,3,3221,1509,4933,5,2,8,FR,France\n201918,3,1385,278,2492,2,0,4,FR,France\n201917,3,3166,1348,4984,5,2,8,FR,France\n201916,3,3842,1973,5711,6,3,9,FR,France\n201915,3,5932,3669,8195,9,6,12,FR,France\n201914,3,12675,9167,16183,19,14,24,FR,France\n201913,3,16513,12530,20496,25,19,31,FR,France\n201912,3,22184,17786,26582,34,27,41,FR,France\n201911,3,31553,26556,36550,48,40,56,FR,France\n201910,3,49742,43268,56216,76,66,86,FR,France\n201909,3,88354,79564,97144,134,121,147,FR,France\n201908,3,172604,160024,185184,262,243,281,FR,France\n201907,3,307338,291220,323456,467,443,491,FR,France\n201906,3,394286,376782,411790,599,572,626,FR,France\n201905,3,355785,339295,372275,540,515,565,FR,France\n201904,3,241090,227261,254919,366,345,387,FR,France\n201903,3,147063,135890,158236,223,206,240,FR,France\n201902,3,75548,67632,83464,115,103,127,FR,France\n201901,3,50295,43525,57065,76,66,86,FR,France\n201852,3,37903,31375,44431,58,48,68,FR,France\n201851,3,39259,32977,45541,60,50,70,FR,France\n201850,3,27781,22638,32924,42,34,50,FR,France\n201849,3,19738,15481,23995,30,24,36,FR,France\n201848,3,19501,15275,23727,30,24,36,FR,France\n201847,3,15949,12105,19793,24,18,30,FR,France\n201846,3,11278,7957,14599,17,12,22,FR,France\n201845,3,11065,7791,14339,17,12,22,FR,France\n201844,3,6586,3875,9297,10,6,14,FR,France\n201843,3,6550,3988,9112,10,6,14,FR,France\n201842,3,7787,5129,10445,12,8,16,FR,France\n201841,3,8048,5098,10998,12,8,16,FR,France\n201840,3,7409,4717,10101,11,7,15,FR,France\n201839,3,7174,4235,10113,11,7,15,FR,France\n201838,3,7349,4399,10299,11,7,15,FR,France\n201837,3,4915,2386,7444,7,3,11,FR,France\n201836,3,3215,1349,5081,5,2,8,FR,France\n201835,3,1506,239,2773,2,0,4,FR,France\n201834,3,1368,116,2620,2,0,4,FR,France\n201833,3,1962,5,3919,3,0,6,FR,France\n201832,3,1839,183,3495,3,0,6,FR,France\n201831,3,2048,242,3854,3,0,6,FR,France\n201830,3,1951,202,3700,3,0,6,FR,France\n201829,3,1951,252,3650,3,0,6,FR,France\n201828,3,1654,52,3256,3,1,5,FR,France\n201827,3,3266,1145,5387,5,2,8,FR,France\n201826,3,3758,1493,6023,6,3,9,FR,France\n201825,3,4580,2220,6940,7,3,11,FR,France\n201824,3,3223,1351,5095,5,2,8,FR,France\n201823,3,1207,136,2278,2,0,4,FR,France\n201822,3,3202,1330,5074,5,2,8,FR,France\n201821,3,2537,763,4311,4,1,7,FR,France\n201820,3,2694,967,4421,4,1,7,FR,France\n201819,3,1025,0,2098,2,0,4,FR,France\n201818,3,3541,1416,5666,5,2,8,FR,France\n201817,3,2573,1003,4143,4,2,6,FR,France\n201816,3,4818,2724,6912,7,4,10,FR,France\n201815,3,16311,12168,20454,25,19,31,FR,France\n201814,3,22666,18092,27240,35,28,42,FR,France\n201813,3,32680,25536,39824,50,39,61,FR,France\n201812,3,52040,44590,59490,79,68,90,FR,France\n201811,3,65159,56506,73812,99,86,112,FR,France\n201810,3,93512,83989,103035,142,128,156,FR,France\n201809,3,108545,98645,118445,165,150,180,FR,France\n201808,3,131870,120950,142790,201,184,218,FR,France\n201807,3,141138,130177,152099,215,198,232,FR,France\n201806,3,138810,128164,149456,211,195,227,FR,France\n201805,3,157839,146646,169032,240,223,257,FR,France\n201804,3,175483,163835,187131,267,249,285,FR,France\n201803,3,178329,166640,190018,271,253,289,FR,France\n201802,3,198079,185663,210495,302,283,321,FR,France\n201801,3,235493,220941,250045,358,336,380,FR,France\n201752,3,299114,279359,318869,459,429,489,FR,France\n201751,3,229448,214366,244530,352,329,375,FR,France\n201750,3,129535,118787,140283,199,183,215,FR,France\n201749,3,63789,56120,71458,98,86,110,FR,France\n201748,3,37568,31541,43595,58,49,67,FR,France\n201747,3,24972,19923,30021,38,30,46,FR,France\n201746,3,13398,9948,16848,21,16,26,FR,France\n201745,3,14035,8091,19979,22,13,31,FR,France\n201744,3,8544,5318,11770,13,8,18,FR,France\n201743,3,7300,4402,10198,11,7,15,FR,France\n201742,3,9966,6503,13429,15,10,20,FR,France\n201741,3,12434,8718,16150,19,13,25,FR,France\n201740,3,12725,8690,16760,20,14,26,FR,France\n201739,3,14949,10534,19364,23,16,30,FR,France\n201738,3,11463,7438,15488,18,12,24,FR,France\n201737,3,9716,6364,13068,15,10,20,FR,France\n201736,3,2815,917,4713,4,1,7,FR,France\n201735,3,2794,850,4738,4,1,7,FR,France\n201734,3,2497,879,4115,4,2,6,FR,France\n201733,3,2406,766,4046,4,1,7,FR,France\n201732,3,2667,879,4455,4,1,7,FR,France\n201731,3,3256,1158,5354,5,2,8,FR,France\n201730,3,3759,1299,6219,6,2,10,FR,France\n201729,3,5014,1989,8039,8,3,13,FR,France\n201728,3,5271,2576,7966,8,4,12,FR,France\n201727,3,3924,1432,6416,6,2,10,FR,France\n201726,3,3171,1166,5176,5,2,8,FR,France\n201725,3,837,0,1721,1,0,2,FR,France\n201724,3,1566,248,2884,2,0,4,FR,France\n201723,3,1664,203,3125,3,1,5,FR,France\n201722,3,1305,92,2518,2,0,4,FR,France\n201721,3,971,0,2046,1,0,3,FR,France\n201720,3,2686,793,4579,4,1,7,FR,France\n201719,3,3461,1490,5432,5,2,8,FR,France\n201718,3,2102,515,3689,3,1,5,FR,France\n201717,3,2071,428,3714,3,0,6,FR,France\n201716,3,1380,222,2538,2,0,4,FR,France\n201715,3,479,0,1242,1,0,2,FR,France\n201714,3,1110,0,2549,2,0,4,FR,France\n201713,3,7594,3808,11380,12,6,18,FR,France\n201712,3,8780,4834,12726,13,7,19,FR,France\n201711,3,7814,4329,11299,12,7,17,FR,France\n201710,3,11802,7964,15640,18,12,24,FR,France\n201709,3,13111,9099,17123,20,14,26,FR,France\n201708,3,29545,23136,35954,45,35,55,FR,France\n201707,3,59590,49764,69416,91,76,106,FR,France\n201706,3,93628,82560,104696,144,127,161,FR,France\n201705,3,193677,179255,208099,297,275,319,FR,France\n201704,3,256428,240618,272238,394,370,418,FR,France\n201703,3,267276,251345,283207,410,386,434,FR,France\n201702,3,260588,245070,276106,400,376,424,FR,France\n201701,3,255535,239743,271327,392,368,416,FR,France\n201652,3,224489,207799,241179,345,319,371,FR,France\n201651,3,187704,172655,202753,288,265,311,FR,France\n201650,3,126570,115081,138059,194,176,212,FR,France\n201649,3,76390,67374,85406,117,103,131,FR,France\n201648,3,40502,33949,47055,62,52,72,FR,France\n201647,3,22270,17612,26928,34,27,41,FR,France\n201646,3,20816,16125,25507,32,25,39,FR,France\n201645,3,15957,11448,20466,24,17,31,FR,France\n201644,3,15145,10357,19933,23,16,30,FR,France\n201643,3,9378,5830,12926,14,9,19,FR,France\n201642,3,12920,9044,16796,20,14,26,FR,France\n201641,3,13909,9709,18109,21,15,27,FR,France\n201640,3,13379,8969,17789,21,14,28,FR,France\n201639,3,10598,6814,14382,16,10,22,FR,France\n201638,3,5969,3073,8865,9,5,13,FR,France\n201637,3,4065,1538,6592,6,2,10,FR,France\n201636,3,2372,473,4271,4,1,7,FR,France\n201635,3,3420,1350,5490,5,2,8,FR,France\n201634,3,2233,0,4643,3,0,7,FR,France\n201633,3,1567,0,3938,2,0,6,FR,France\n201632,3,2100,93,4107,3,0,6,FR,France\n201631,3,3691,0,9120,6,0,14,FR,France\n201630,3,3209,644,5774,5,1,9,FR,France\n201629,3,1469,0,3073,2,0,4,FR,France\n201628,3,2725,357,5093,4,0,8,FR,France\n201627,3,5905,2343,9467,9,4,14,FR,France\n201626,3,4186,1636,6736,6,2,10,FR,France\n201625,3,4611,1560,7662,7,2,12,FR,France\n201624,3,4977,2404,7550,8,4,12,FR,France\n201623,3,4893,2416,7370,8,4,12,FR,France\n201622,3,5667,3015,8319,9,5,13,FR,France\n201621,3,5603,2475,8731,9,4,14,FR,France\n201620,3,3908,1679,6137,6,3,9,FR,France\n201619,3,4738,2308,7168,7,3,11,FR,France\n201618,3,8204,4394,12014,13,7,19,FR,France\n201617,3,13385,8822,17948,21,14,28,FR,France\n201616,3,25670,19632,31708,39,30,48,FR,France\n201615,3,48441,39824,57058,74,61,87,FR,France\n201614,3,92603,81261,103945,142,125,159,FR,France\n201613,3,170654,156387,184921,262,240,284,FR,France\n201612,3,272174,254338,290010,418,391,445,FR,France\n201611,3,304543,286453,322633,467,439,495,FR,France\n201610,3,261822,245799,277845,402,377,427,FR,France\n201609,3,229943,214533,245353,353,329,377,FR,France\n201608,3,195067,180874,209260,299,277,321,FR,France\n201607,3,207359,193223,221495,318,296,340,FR,France\n201606,3,196143,182672,209614,301,280,322,FR,France\n201605,3,178963,166296,191630,275,256,294,FR,France\n201604,3,148473,136591,160355,228,210,246,FR,France\n201603,3,75277,66630,83924,116,103,129,FR,France\n201602,3,44617,37821,51413,68,58,78,FR,France\n201601,3,42263,35556,48970,65,55,75,FR,France\n201553,3,24835,19106,30564,38,29,47,FR,France\n201552,3,19495,14319,24671,30,22,38,FR,France\n201551,3,29080,23014,35146,45,36,54,FR,France\n201550,3,25043,19812,30274,39,31,47,FR,France\n201549,3,21479,16686,26272,33,26,40,FR,France\n201548,3,16428,12273,20583,25,19,31,FR,France\n201547,3,14959,10856,19062,23,17,29,FR,France\n201546,3,12599,8237,16961,20,13,27,FR,France\n201545,3,13577,9192,17962,21,14,28,FR,France\n201544,3,14596,10025,19167,23,16,30,FR,France\n201543,3,16749,11745,21753,26,18,34,FR,France\n201542,3,18675,13613,23737,29,21,37,FR,France\n201541,3,13585,9830,17340,21,15,27,FR,France\n201540,3,13100,9349,16851,20,14,26,FR,France\n201539,3,8595,5671,11519,13,8,18,FR,France\n201538,3,8402,4929,11875,13,8,18,FR,France\n201537,3,8817,4089,13545,14,7,21,FR,France\n201536,3,1922,440,3404,3,1,5,FR,France\n201535,3,229,0,644,0,0,1,FR,France\n201534,3,760,0,1618,1,0,2,FR,France\n201533,3,1537,208,2866,2,0,4,FR,France\n201532,3,1594,66,3122,2,0,4,FR,France\n201531,3,2845,475,5215,4,0,8,FR,France\n201530,3,2447,353,4541,4,1,7,FR,France\n201529,3,2389,332,4446,4,1,7,FR,France\n201528,3,2089,105,4073,3,0,6,FR,France\n201527,3,2257,393,4121,3,0,6,FR,France\n201526,3,2536,774,4298,4,1,7,FR,France\n201525,3,2607,680,4534,4,1,7,FR,France\n201524,3,2849,1000,4698,4,1,7,FR,France\n201523,3,2702,857,4547,4,1,7,FR,France\n201522,3,4262,1989,6535,7,3,11,FR,France\n201521,3,5547,2875,8219,9,5,13,FR,France\n201520,3,4594,2040,7148,7,3,11,FR,France\n201519,3,6307,3256,9358,10,5,15,FR,France\n201518,3,3664,1544,5784,6,3,9,FR,France\n201517,3,6382,3523,9241,10,6,14,FR,France\n201516,3,12098,7913,16283,19,13,25,FR,France\n201515,3,19458,14192,24724,30,22,38,FR,France\n201514,3,30940,24617,37263,48,38,58,FR,France\n201513,3,49563,41986,57140,77,65,89,FR,France\n201512,3,70024,61079,78969,109,95,123,FR,France\n201511,3,99295,88838,109752,154,138,170,FR,France\n201510,3,143931,131682,156180,223,204,242,FR,France\n201509,3,238947,222902,254992,370,345,395,FR,France\n201508,3,409972,388670,431274,635,602,668,FR,France\n201507,3,517750,494301,541199,802,766,838,FR,France\n201506,3,533317,510627,556007,827,792,862,FR,France\n201505,3,457911,436964,478858,710,678,742,FR,France\n201504,3,292161,275491,308831,453,427,479,FR,France\n201503,3,153931,141290,166572,239,219,259,FR,France\n201502,3,104096,93358,114834,161,144,178,FR,France\n201501,3,70962,60505,81419,110,94,126,FR,France\n201452,3,63168,52705,73631,98,82,114,FR,France\n201451,3,45346,38002,52690,71,60,82,FR,France\n201450,3,42182,35049,49315,66,55,77,FR,France\n201449,3,33537,27281,39793,52,42,62,FR,France\n201448,3,28156,21896,34416,44,34,54,FR,France\n201447,3,18158,13186,23130,28,20,36,FR,France\n201446,3,14764,10174,19354,23,16,30,FR,France\n201445,3,16172,11449,20895,25,18,32,FR,France\n201444,3,15500,10464,20536,24,16,32,FR,France\n201443,3,16011,10653,21369,25,17,33,FR,France\n201442,3,21651,15828,27474,34,25,43,FR,France\n201441,3,22486,16295,28677,35,25,45,FR,France\n201440,3,16526,11583,21469,26,18,34,FR,France\n201439,3,8583,5054,12112,13,8,18,FR,France\n201438,3,10567,6496,14638,16,10,22,FR,France\n201437,3,7714,3780,11648,12,6,18,FR,France\n201436,3,5018,1949,8087,8,3,13,FR,France\n201435,3,2268,355,4181,4,1,7,FR,France\n201434,3,2367,250,4484,4,1,7,FR,France\n201433,3,2358,0,4875,4,0,8,FR,France\n201432,3,3229,447,6011,5,1,9,FR,France\n201431,3,4143,349,7937,6,0,12,FR,France\n201430,3,4631,902,8360,7,1,13,FR,France\n201429,3,5122,1258,8986,8,2,14,FR,France\n201428,3,4145,1200,7090,6,1,11,FR,France\n201427,3,4823,1997,7649,8,4,12,FR,France\n201426,3,3858,1235,6481,6,2,10,FR,France\n201425,3,4564,1276,7852,7,2,12,FR,France\n201424,3,2007,249,3765,3,0,6,FR,France\n201423,3,5164,1853,8475,8,3,13,FR,France\n201422,3,6907,1856,11958,11,3,19,FR,France\n201421,3,4523,1039,8007,7,2,12,FR,France\n201420,3,5881,2432,9330,9,4,14,FR,France\n201419,3,3588,1277,5899,6,2,10,FR,France\n201418,3,4708,1654,7762,7,2,12,FR,France\n201417,3,2989,625,5353,5,1,9,FR,France\n201416,3,7057,3381,10733,11,5,17,FR,France\n201415,3,10800,6762,14838,17,11,23,FR,France\n201414,3,19217,13490,24944,30,21,39,FR,France\n201413,3,21577,15435,27719,34,24,44,FR,France\n201412,3,23524,17260,29788,37,27,47,FR,France\n201411,3,44513,35939,53087,69,56,82,FR,France\n201410,3,86105,73497,98713,134,114,154,FR,France\n201409,3,147035,131889,162181,229,205,253,FR,France\n201408,3,188419,171950,204888,293,267,319,FR,France\n201407,3,208726,191283,226169,325,298,352,FR,France\n201406,3,160403,145280,175526,250,226,274,FR,France\n201405,3,120261,107176,133346,187,167,207,FR,France\n201404,3,85280,74414,96146,133,116,150,FR,France\n201403,3,64159,54089,74229,100,84,116,FR,France\n201402,3,46850,38202,55498,73,60,86,FR,France\n201401,3,35624,27451,43797,55,42,68,FR,France\n201352,3,30142,22721,37563,47,35,59,FR,France\n201351,3,29787,23215,36359,47,37,57,FR,France\n201350,3,24055,18214,29896,38,29,47,FR,France\n201349,3,18071,13058,23084,28,20,36,FR,France\n201348,3,17606,12195,23017,28,20,36,FR,France\n201347,3,22636,16343,28929,35,25,45,FR,France\n201346,3,13340,8367,18313,21,13,29,FR,France\n201345,3,10596,6057,15135,17,10,24,FR,France\n201344,3,10193,5622,14764,16,9,23,FR,France\n201343,3,15780,9497,22063,25,15,35,FR,France\n201342,3,14830,9545,20115,23,15,31,FR,France\n201341,3,12391,7265,17517,19,11,27,FR,France\n201340,3,9794,5140,14448,15,8,22,FR,France\n201339,3,5371,1704,9038,8,2,14,FR,France\n201338,3,9324,4198,14450,15,7,23,FR,France\n201337,3,5027,1752,8302,8,3,13,FR,France\n201336,3,4639,1425,7853,7,2,12,FR,France\n201335,3,1291,0,3112,2,0,5,FR,France\n201334,3,1889,0,4912,3,0,8,FR,France\n201333,3,4740,348,9132,7,0,14,FR,France\n201332,3,4709,549,8869,7,0,14,FR,France\n201331,3,2270,0,5811,4,0,10,FR,France\n201330,3,2169,0,4630,3,0,7,FR,France\n201329,3,1696,0,3558,3,0,6,FR,France\n201328,3,983,0,2168,2,0,4,FR,France\n201327,3,4278,1327,7229,7,2,12,FR,France\n201326,3,3488,839,6137,5,1,9,FR,France\n201325,3,2735,0,5826,4,0,9,FR,France\n201324,3,7245,2997,11493,11,4,18,FR,France\n201323,3,16094,8918,23270,25,14,36,FR,France\n201322,3,7245,2923,11567,11,4,18,FR,France\n201321,3,5974,2401,9547,9,3,15,FR,France\n201320,3,3831,1245,6417,6,2,10,FR,France\n201319,3,1166,0,2680,2,0,4,FR,France\n201318,3,3415,757,6073,5,1,9,FR,France\n201317,3,7941,2950,12932,12,4,20,FR,France\n201316,3,9520,4758,14282,15,8,22,FR,France\n201315,3,19357,13311,25403,30,21,39,FR,France\n201314,3,36855,27737,45973,58,44,72,FR,France\n201313,3,43236,34048,52424,68,54,82,FR,France\n201312,3,60822,50414,71230,95,79,111,FR,France\n201311,3,84308,72456,96160,132,113,151,FR,France\n201310,3,165558,148471,182645,259,232,286,FR,France\n201309,3,259984,239067,280901,407,374,440,FR,France\n201308,3,351626,327537,375715,550,512,588,FR,France\n201307,3,470076,443682,496470,736,695,777,FR,France\n201306,3,471647,445112,498182,738,696,780,FR,France\n201305,3,492026,464729,519323,770,727,813,FR,France\n201304,3,391525,367182,415868,613,575,651,FR,France\n201303,3,224661,207134,242188,352,325,379,FR,France\n201302,3,184159,168343,199975,288,263,313,FR,France\n201301,3,163491,147340,179642,256,231,281,FR,France\n201252,3,159290,141978,176602,251,224,278,FR,France\n201251,3,113901,99835,127967,179,157,201,FR,France\n201250,3,79918,68086,91750,126,107,145,FR,France\n201249,3,47537,38711,56363,75,61,89,FR,France\n201248,3,43006,32863,53149,68,52,84,FR,France\n201247,3,39223,29140,49306,62,46,78,FR,France\n201246,3,26436,18286,34586,42,29,55,FR,France\n201245,3,18893,12799,24987,30,20,40,FR,France\n201244,3,13106,8784,17428,21,14,28,FR,France\n201243,3,17791,11284,24298,28,18,38,FR,France\n201242,3,13096,8369,17823,21,14,28,FR,France\n201241,3,18675,12010,25340,29,19,39,FR,France\n201240,3,17873,11545,24201,28,18,38,FR,France\n201239,3,20257,14180,26334,32,22,42,FR,France\n201238,3,14715,9178,20252,23,14,32,FR,France\n201237,3,7775,3509,12041,12,5,19,FR,France\n201236,3,6384,2420,10348,10,4,16,FR,France\n201235,3,8277,2206,14348,13,3,23,FR,France\n201234,3,3858,0,8641,6,0,14,FR,France\n201233,3,6492,840,12144,10,1,19,FR,France\n201232,3,6381,0,14034,10,0,22,FR,France\n201231,3,2696,0,5763,4,0,9,FR,France\n201230,3,1834,0,4194,3,0,7,FR,France\n201229,3,6329,1424,11234,10,2,18,FR,France\n201228,3,4628,1091,8165,7,1,13,FR,France\n201227,3,4162,1487,6837,7,3,11,FR,France\n201226,3,4819,1097,8541,8,2,14,FR,France\n201225,3,2669,530,4808,4,1,7,FR,France\n201224,3,5977,2335,9619,9,3,15,FR,France\n201223,3,2361,576,4146,4,1,7,FR,France\n201222,3,5772,2435,9109,9,4,14,FR,France\n201221,3,3722,821,6623,6,1,11,FR,France\n201220,3,2731,897,4565,4,1,7,FR,France\n201219,3,3267,1317,5217,5,2,8,FR,France\n201218,3,2328,569,4087,4,1,7,FR,France\n201217,3,6982,2701,11263,11,4,18,FR,France\n201216,3,11455,6874,16036,18,11,25,FR,France\n201215,3,20437,13435,27439,32,21,43,FR,France\n201214,3,36740,27799,45681,58,44,72,FR,France\n201213,3,62917,50171,75663,99,79,119,FR,France\n201212,3,84738,71566,97910,133,112,154,FR,France\n201211,3,128945,113778,144112,203,179,227,FR,France\n201210,3,174704,157337,192071,275,248,302,FR,France\n201209,3,225648,206810,244486,355,325,385,FR,France\n201208,3,287293,264901,309685,452,417,487,FR,France\n201207,3,263557,242711,284403,415,382,448,FR,France\n201206,3,175123,158942,191304,276,251,301,FR,France\n201205,3,106110,92524,119696,167,146,188,FR,France\n201204,3,67778,56784,78772,107,90,124,FR,France\n201203,3,49440,40981,57899,78,65,91,FR,France\n201202,3,40507,32652,48362,64,52,76,FR,France\n201201,3,45104,35640,54568,71,56,86,FR,France\n201152,3,36532,28367,44697,58,45,71,FR,France\n201151,3,25835,19002,32668,41,30,52,FR,France\n201150,3,24155,18145,30165,38,28,48,FR,France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189164,271,241,301,FR,France\n200943,3,131408,114883,147933,209,183,235,FR,France\n200942,3,99387,84491,114283,158,134,182,FR,France\n200941,3,100802,86381,115223,160,137,183,FR,France\n200940,3,111587,97628,125546,178,156,200,FR,France\n200939,3,121267,106153,136381,193,169,217,FR,France\n200938,3,137924,121242,154606,220,193,247,FR,France\n200937,3,101332,87522,115142,161,139,183,FR,France\n200936,3,46024,36435,55613,73,58,88,FR,France\n200935,3,31660,23669,39651,50,37,63,FR,France\n200934,3,24985,17699,32271,40,28,52,FR,France\n200933,3,24435,16308,32562,39,26,52,FR,France\n200932,3,23151,14624,31678,37,23,51,FR,France\n200931,3,30255,9818,50692,48,15,81,FR,France\n200930,3,13868,7861,19875,22,12,32,FR,France\n200929,3,10704,5314,16094,17,8,26,FR,France\n200928,3,15516,273,30759,25,1,49,FR,France\n200927,3,10354,2760,17948,16,4,28,FR,France\n200926,3,9932,5257,14607,16,9,23,FR,France\n200925,3,7619,4026,11212,12,6,18,FR,France\n200924,3,7794,3409,12179,12,5,19,FR,France\n200923,3,4342,1975,6709,7,3,11,FR,France\n200922,3,6390,3020,9760,10,5,15,FR,France\n200921,3,7118,3704,10532,11,6,16,FR,France\n200920,3,9482,5804,13160,15,9,21,FR,France\n200919,3,7538,4299,10777,12,7,17,FR,France\n200918,3,9627,5121,14133,15,8,22,FR,France\n200917,3,9537,5267,13807,15,8,22,FR,France\n200916,3,14666,9218,20114,23,14,32,FR,France\n200915,3,17533,12137,22929,28,19,37,FR,France\n200914,3,26324,19150,33498,42,31,53,FR,France\n200913,3,27737,20781,34693,44,33,55,FR,France\n200912,3,38811,29935,47687,62,48,76,FR,France\n200911,3,40410,30705,50115,64,49,79,FR,France\n200910,3,53395,41943,64847,85,67,103,FR,France\n200909,3,70558,57400,83716,112,91,133,FR,France\n200908,3,109100,94840,123360,174,151,197,FR,France\n200907,3,141531,125101,157961,225,199,251,FR,France\n200906,3,276274,252759,299789,440,403,477,FR,France\n200905,3,401868,375032,428704,640,597,683,FR,France\n200904,3,545313,512892,577734,868,816,920,FR,France\n200903,3,520957,487271,554643,829,775,883,FR,France\n200902,3,287145,262869,311421,457,418,496,FR,France\n200901,3,200349,180878,219820,319,288,350,FR,France\n200852,3,198418,115769,281067,323,188,458,FR,France\n200851,3,112588,96656,128520,184,158,210,FR,France\n200850,3,51746,43319,60173,84,70,98,FR,France\n200849,3,34950,27527,42373,57,45,69,FR,France\n200848,3,25604,18563,32645,42,31,53,FR,France\n200847,3,18706,10838,26574,30,17,43,FR,France\n200846,3,10899,5461,16337,18,9,27,FR,France\n200845,3,12472,7082,17862,20,11,29,FR,France\n200844,3,9772,5661,13883,16,9,23,FR,France\n200843,3,9345,5541,13149,15,9,21,FR,France\n200842,3,9087,5572,12602,15,9,21,FR,France\n200841,3,9925,5637,14213,16,9,23,FR,France\n200840,3,7869,4535,11203,13,8,18,FR,France\n200839,3,2195,506,3884,4,1,7,FR,France\n200838,3,3679,1481,5877,6,2,10,FR,France\n200837,3,2429,561,4297,4,1,7,FR,France\n200836,3,2512,492,4532,4,1,7,FR,France\n200835,3,1901,0,4869,3,0,8,FR,France\n200834,3,2552,0,6509,4,0,10,FR,France\n200833,3,7229,0,16106,12,0,26,FR,France\n200832,3,4378,107,8649,7,0,14,FR,France\n200831,3,3972,621,7323,6,1,11,FR,France\n200830,3,3821,643,6999,6,1,11,FR,France\n200829,3,2055,0,4225,3,0,7,FR,France\n200828,3,3257,208,6306,5,0,10,FR,France\n200827,3,2862,474,5250,5,1,9,FR,France\n200826,3,897,0,2062,1,0,3,FR,France\n200825,3,2006,360,3652,3,0,6,FR,France\n200824,3,3217,823,5611,5,1,9,FR,France\n200823,3,2906,1006,4806,5,2,8,FR,France\n200822,3,1792,451,3133,3,1,5,FR,France\n200821,3,3642,925,6359,6,2,10,FR,France\n200820,3,6452,2790,10114,11,5,17,FR,France\n200819,3,5173,1485,8861,8,2,14,FR,France\n200818,3,5315,1770,8860,9,3,15,FR,France\n200817,3,10150,5835,14465,17,10,24,FR,France\n200816,3,11876,7054,16698,19,11,27,FR,France\n200815,3,22871,16253,29489,37,26,48,FR,France\n200814,3,45610,27907,63313,74,45,103,FR,France\n200813,3,38600,29300,47900,63,48,78,FR,France\n200812,3,53169,43299,63039,87,71,103,FR,France\n200811,3,62014,50430,73598,101,82,120,FR,France\n200810,3,90342,75729,104955,147,123,171,FR,France\n200809,3,119696,104205,135187,195,170,220,FR,France\n200808,3,198688,180749,216627,324,295,353,FR,France\n200807,3,286498,264535,308461,467,431,503,FR,France\n200806,3,377097,350714,403480,615,572,658,FR,France\n200805,3,344050,320436,367664,561,523,599,FR,France\n200804,3,290196,268193,312199,473,437,509,FR,France\n200803,3,260268,233385,287151,424,380,468,FR,France\n200802,3,160872,145311,176433,262,237,287,FR,France\n200801,3,102562,88547,116577,167,144,190,FR,France\n200752,3,86742,72295,101189,141,117,165,FR,France\n200751,3,61954,51764,72144,101,84,118,FR,France\n200750,3,45366,36923,53809,74,60,88,FR,France\n200749,3,38351,26177,50525,63,43,83,FR,France\n200748,3,48174,35418,60930,79,58,100,FR,France\n200747,3,30716,23351,38081,50,38,62,FR,France\n200746,3,18204,12267,24141,30,20,40,FR,France\n200745,3,15521,10195,20847,25,16,34,FR,France\n200744,3,13904,9072,18736,23,15,31,FR,France\n200743,3,16212,10778,21646,26,17,35,FR,France\n200742,3,20197,13955,26439,33,23,43,FR,France\n200741,3,12987,8464,17510,21,14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e\n199915,3,11535,6814,16256,20,12,28,FR,France\n199914,3,18730,13131,24329,32,22,42,FR,France\n199913,3,38453,29560,47346,66,51,81,FR,France\n199912,3,58090,48072,68108,99,82,116,FR,France\n199911,3,91329,78686,103972,156,134,178,FR,France\n199910,3,147976,131058,164894,253,224,282,FR,France\n199909,3,207450,188710,226190,355,323,387,FR,France\n199908,3,313293,292280,334306,536,500,572,FR,France\n199907,3,524136,496702,551570,896,849,943,FR,France\n199906,3,493908,466605,521211,844,797,891,FR,France\n199905,3,476884,449696,504072,815,769,861,FR,France\n199904,3,368514,345131,391897,630,590,670,FR,France\n199903,3,242388,224208,260568,414,383,445,FR,France\n199902,3,160657,145209,176105,275,249,301,FR,France\n199901,3,130133,115125,145141,222,196,248,FR,France\n199853,3,107611,92301,122921,185,159,211,FR,France\n199852,3,72373,61032,83714,124,105,143,FR,France\n199851,3,78179,67156,89202,134,115,153,FR,France\n199850,3,54775,45478,64072,94,78,110,FR,France\n199849,3,33385,26332,40438,57,45,69,FR,France\n199848,3,22636,16668,28604,39,29,49,FR,France\n199847,3,14505,9746,19264,25,17,33,FR,France\n199846,3,13804,9049,18559,24,16,32,FR,France\n199845,3,13021,8113,17929,22,14,30,FR,France\n199844,3,12631,7410,17852,22,13,31,FR,France\n199843,3,12180,7125,17235,21,12,30,FR,France\n199842,3,18885,12726,25044,32,21,43,FR,France\n199841,3,24196,17506,30886,42,31,53,FR,France\n199840,3,20235,14114,26356,35,25,45,FR,France\n199839,3,17075,11538,22612,29,20,38,FR,France\n199838,3,10837,6336,15338,19,11,27,FR,France\n199837,3,6968,3227,10709,12,6,18,FR,France\n199836,3,3033,580,5486,5,1,9,FR,France\n199835,3,2491,0,5022,4,0,8,FR,France\n199834,3,3853,589,7117,7,1,13,FR,France\n199833,3,2934,0,6598,5,0,11,FR,France\n199832,3,1308,0,2894,2,0,5,FR,France\n199831,3,12147,0,29237,21,0,50,FR,France\n199830,3,5309,1628,8990,9,3,15,FR,France\n199829,3,6486,2465,10507,11,4,18,FR,France\n199828,3,9577,4464,14690,16,7,25,FR,France\n199827,3,12358,7158,17558,21,12,30,FR,France\n199826,3,10415,6547,14283,18,11,25,FR,France\n199825,3,18246,13050,23442,31,22,40,FR,France\n199824,3,16263,11126,21400,28,19,37,FR,France\n199823,3,8553,4911,12195,15,9,21,FR,France\n199822,3,5181,2669,7693,9,5,13,FR,France\n199821,3,4751,2416,7086,8,4,12,FR,France\n199820,3,12129,8099,16159,21,14,28,FR,France\n199819,3,24118,17906,30330,41,30,52,FR,France\n199818,3,31612,24512,38712,54,42,66,FR,France\n199817,3,61148,51894,70402,105,89,121,FR,France\n199816,3,123195,109878,136512,211,188,234,FR,France\n199815,3,171603,156715,186491,294,268,320,FR,France\n199814,3,319092,298398,339786,547,512,582,FR,France\n199813,3,298212,278513,317911,512,478,546,FR,France\n199812,3,263585,246356,280814,452,422,482,FR,France\n199811,3,220578,204894,236262,378,351,405,FR,France\n199810,3,202354,186304,218404,347,319,375,FR,France\n199809,3,227553,209970,245136,390,360,420,FR,France\n199808,3,271362,252005,290719,465,432,498,FR,France\n199807,3,190187,173694,206680,326,298,354,FR,France\n199806,3,88217,76829,99605,151,131,171,FR,France\n199805,3,45180,36970,53390,77,63,91,FR,France\n199804,3,30005,23272,36738,51,39,63,FR,France\n199803,3,23900,18221,29579,41,31,51,FR,France\n199802,3,31143,23994,38292,53,41,65,FR,France\n199801,3,24809,17786,31832,43,31,55,FR,France\n199752,3,29039,21984,36094,50,38,62,FR,France\n199751,3,34924,27737,42111,60,48,72,FR,France\n199750,3,33527,26388,40666,58,46,70,FR,France\n199749,3,15978,11147,20809,27,19,35,FR,France\n199748,3,11507,7744,15270,20,14,26,FR,France\n199747,3,11059,7151,14967,19,12,26,FR,France\n199746,3,8073,4613,11533,14,8,20,FR,France\n199745,3,18202,13113,23291,31,22,40,FR,France\n199744,3,19770,14405,25135,34,25,43,FR,France\n199743,3,16707,11945,21469,29,21,37,FR,France\n199742,3,15340,10351,20329,26,17,35,FR,France\n199741,3,16933,11941,21925,29,20,38,FR,France\n199740,3,13292,8709,17875,23,15,31,FR,France\n199739,3,10189,6279,14099,18,11,25,FR,France\n199738,3,3231,1061,5401,6,2,10,FR,France\n199737,3,4542,1949,7135,8,4,12,FR,France\n199736,3,5131,2205,8057,9,4,14,FR,France\n199735,3,1842,0,3740,3,0,6,FR,France\n199734,3,3226,0,6717,6,0,12,FR,France\n199733,3,1799,0,4368,3,0,7,FR,France\n199732,3,2086,0,4411,4,0,8,FR,France\n199731,3,1386,0,3332,2,0,5,FR,France\n199730,3,2116,0,4919,4,0,9,FR,France\n199729,3,1973,0,4347,3,0,7,FR,France\n199728,3,1560,216,2904,3,1,5,FR,France\n199727,3,2540,754,4326,4,1,7,FR,France\n199726,3,5582,2699,8465,10,5,15,FR,France\n199725,3,4012,1090,6934,7,2,12,FR,France\n199724,3,4696,1824,7568,8,3,13,FR,France\n199723,3,4709,2136,7282,8,4,12,FR,France\n199722,3,2283,665,3901,4,1,7,FR,France\n199721,3,2108,664,3552,4,2,6,FR,France\n199720,3,3257,1519,4995,6,3,9,FR,France\n199719,3,4646,2436,6856,8,4,12,FR,France\n199718,3,5246,2764,7728,9,5,13,FR,France\n199717,3,14236,9906,18566,24,17,31,FR,France\n199716,3,12169,8111,16227,21,14,28,FR,France\n199715,3,9516,6192,12840,16,10,22,FR,France\n199714,3,13602,9659,17545,23,16,30,FR,France\n199713,3,18032,13345,22719,31,23,39,FR,France\n199712,3,17199,12707,21691,30,22,38,FR,France\n199711,3,19988,15419,24557,34,26,42,FR,France\n199710,3,21903,17338,26468,38,30,46,FR,France\n199709,3,29860,24261,35459,51,41,61,FR,France\n199708,3,55445,47857,63033,95,82,108,FR,France\n199707,3,70876,62518,79234,122,108,136,FR,France\n199706,3,76906,68152,85660,132,117,147,FR,France\n199705,3,95900,86095,105705,165,148,182,FR,France\n199704,3,96896,87079,106713,167,150,184,FR,France\n199703,3,143844,131917,155771,248,227,269,FR,France\n199702,3,211578,197395,225761,364,340,388,FR,France\n199701,3,280440,263783,297097,483,454,512,FR,France\n199652,3,388201,369211,407191,670,637,703,FR,France\n199651,3,640627,617388,663866,1106,1066,1146,FR,France\n199650,3,535205,514568,555842,924,888,960,FR,France\n199649,3,411498,393335,429661,710,679,741,FR,France\n199648,3,195568,182563,208573,338,316,360,FR,France\n199647,3,71980,63619,80341,124,110,138,FR,France\n199646,3,32138,26358,37918,55,45,65,FR,France\n199645,3,25551,20136,30966,44,35,53,FR,France\n199644,3,10753,7230,14276,19,13,25,FR,France\n199643,3,12971,9311,16631,22,16,28,FR,France\n199642,3,11929,8472,15386,21,15,27,FR,France\n199641,3,9918,6674,13162,17,11,23,FR,France\n199640,3,10765,7067,14463,19,13,25,FR,France\n199639,3,8377,5183,11571,14,8,20,FR,France\n199638,3,9470,5965,12975,16,10,22,FR,France\n199637,3,2925,829,5021,5,1,9,FR,France\n199636,3,1122,23,2221,2,0,4,FR,France\n199635,3,1674,93,3255,3,0,6,FR,France\n199634,3,1273,122,2424,2,0,4,FR,France\n199633,3,540,0,1246,1,0,2,FR,France\n199632,3,1453,176,2730,3,1,5,FR,France\n199631,3,3010,752,5268,5,1,9,FR,France\n199630,3,2992,706,5278,5,1,9,FR,France\n199629,3,1559,144,2974,3,1,5,FR,France\n199628,3,3109,541,5677,5,1,9,FR,France\n199627,3,4456,1595,7317,8,3,13,FR,France\n199626,3,2871,1138,4604,5,2,8,FR,France\n199625,3,2308,856,3760,4,1,7,FR,France\n199624,3,2490,1067,3913,4,2,6,FR,France\n199623,3,2819,1262,4376,5,2,8,FR,France\n199622,3,4005,1984,6026,7,4,10,FR,France\n199621,3,7042,4291,9793,12,7,17,FR,France\n199620,3,10619,7365,13873,18,12,24,FR,France\n199619,3,11898,8065,15731,21,14,28,FR,France\n199618,3,18338,13352,23324,32,23,41,FR,France\n199617,3,24954,19100,30808,43,33,53,FR,France\n199616,3,29313,23868,34758,51,42,60,FR,France\n199615,3,51703,43644,59762,89,75,103,FR,France\n199614,3,44414,36774,52054,77,64,90,FR,France\n199613,3,30622,25062,36182,53,43,63,FR,France\n199612,3,31818,25852,37784,55,45,65,FR,France\n199611,3,24427,19499,29355,42,33,51,FR,France\n199610,3,20910,16198,25622,36,28,44,FR,France\n199609,3,19594,15228,23960,34,26,42,FR,France\n199608,3,19046,14850,23242,33,26,40,FR,France\n199607,3,23041,18338,27744,40,32,48,FR,France\n199606,3,21810,17153,26467,38,30,46,FR,France\n199605,3,25275,20410,30140,44,36,52,FR,France\n199604,3,43359,36948,49770,75,64,86,FR,France\n199603,3,54691,48016,61366,94,82,106,FR,France\n199602,3,105606,96106,115106,182,166,198,FR,France\n199601,3,223830,209274,238386,386,361,411,FR,France\n199552,3,397122,378252,415992,688,655,721,FR,France\n199551,3,749988,725434,774542,1299,1256,1342,FR,France\n199550,3,604926,583100,626752,1047,1009,1085,FR,France\n199549,3,375500,358200,392800,650,620,680,FR,France\n199548,3,206446,193457,219435,357,335,379,FR,France\n199547,3,120472,110526,130418,209,192,226,FR,France\n199546,3,62380,55042,69718,108,95,121,FR,France\n199545,3,29791,24523,35059,52,43,61,FR,France\n199544,3,13168,9820,16516,23,17,29,FR,France\n199543,3,16188,12389,19987,28,21,35,FR,France\n199542,3,15178,11387,18969,26,19,33,FR,France\n199541,3,14980,10851,19109,26,19,33,FR,France\n199540,3,16245,11610,20880,28,20,36,FR,France\n199539,3,18499,13844,23154,32,24,40,FR,France\n199538,3,13123,9410,16836,23,17,29,FR,France\n199537,3,4895,2666,7124,8,4,12,FR,France\n199536,3,3659,1574,5744,6,2,10,FR,France\n199535,3,2496,644,4348,4,1,7,FR,France\n199534,3,1887,214,3560,3,0,6,FR,France\n199533,3,905,0,2007,2,0,4,FR,France\n199532,3,700,0,1699,1,0,3,FR,France\n199531,3,1946,92,3800,3,0,6,FR,France\n199530,3,1898,46,3750,3,0,6,FR,France\n199529,3,2148,687,3609,4,1,7,FR,France\n199528,3,3312,1430,5194,6,3,9,FR,France\n199527,3,4853,2683,7023,8,4,12,FR,France\n199526,3,4986,2911,7061,9,5,13,FR,France\n199525,3,4571,2520,6622,8,4,12,FR,France\n199524,3,8058,5054,11062,14,9,19,FR,France\n199523,3,13820,9801,17839,24,17,31,FR,France\n199522,3,14124,9999,18249,24,17,31,FR,France\n199521,3,11931,8655,15207,21,15,27,FR,France\n199520,3,18846,14311,23381,33,25,41,FR,France\n199519,3,26261,21488,31034,45,37,53,FR,France\n199518,3,39231,33258,45204,68,58,78,FR,France\n199517,3,88640,79343,97937,153,137,169,FR,France\n199516,3,140488,129439,151537,243,224,262,FR,France\n199515,3,181007,169110,192904,313,292,334,FR,France\n199514,3,248704,235144,262264,431,408,454,FR,France\n199513,3,209839,197191,222487,363,341,385,FR,France\n199512,3,122434,112497,132371,212,195,229,FR,France\n199511,3,81730,73346,90114,142,127,157,FR,France\n199510,3,49387,42703,56071,86,74,98,FR,France\n199509,3,39696,33259,46133,69,58,80,FR,France\n199508,3,38008,32225,43791,66,56,76,FR,France\n199507,3,30550,25479,35621,53,44,62,FR,France\n199506,3,37351,32007,42695,65,56,74,FR,France\n199505,3,27876,23218,32534,48,40,56,FR,France\n199504,3,27643,22818,32468,48,40,56,FR,France\n199503,3,24844,20391,29297,43,35,51,FR,France\n199502,3,23480,19249,27711,41,34,48,FR,France\n199501,3,26556,21916,31196,46,38,54,FR,France\n199452,3,22036,17495,26577,38,30,46,FR,France\n199451,3,26912,21750,32074,47,38,56,FR,France\n199450,3,28831,23470,34192,50,41,59,FR,France\n199449,3,21161,16559,25763,37,29,45,FR,France\n199448,3,18487,14456,22518,32,25,39,FR,France\n199447,3,15206,11578,18834,26,20,32,FR,France\n199446,3,14252,10525,17979,25,19,31,FR,France\n199445,3,12152,8448,15856,21,15,27,FR,France\n199444,3,11307,7688,14926,20,14,26,FR,France\n199443,3,11254,8002,14506,20,14,26,FR,France\n199442,3,14406,10653,18159,25,18,32,FR,France\n199441,3,14073,10341,17805,24,18,30,FR,France\n199440,3,15962,11850,20074,28,21,35,FR,France\n199439,3,15878,11643,20113,28,21,35,FR,France\n199438,3,15366,11100,19632,27,20,34,FR,France\n199437,3,5949,3561,8337,10,6,14,FR,France\n199436,3,2806,1133,4479,5,2,8,FR,France\n199435,3,4556,2358,6754,8,4,12,FR,France\n199434,3,3459,1444,5474,6,2,10,FR,France\n199433,3,4272,977,7567,7,1,13,FR,France\n199432,3,4786,1613,7959,8,2,14,FR,France\n199431,3,5027,1580,8474,9,3,15,FR,France\n199430,3,2100,520,3680,4,1,7,FR,France\n199429,3,1188,0,2384,2,0,4,FR,France\n199428,3,1581,316,2846,3,1,5,FR,France\n199427,3,713,0,1459,1,0,2,FR,France\n199426,3,990,80,1900,2,0,4,FR,France\n199425,3,5431,3222,7640,9,5,13,FR,France\n199424,3,6288,3723,8853,11,7,15,FR,France\n199423,3,6440,1052,11828,11,2,20,FR,France\n199422,3,845,0,2449,1,0,4,FR,France\n199421,3,2197,395,3999,4,1,7,FR,France\n199420,3,2217,852,3582,4,2,6,FR,France\n199419,3,1483,406,2560,3,1,5,FR,France\n199418,3,3705,1940,5470,6,3,9,FR,France\n199417,3,2288,1064,3512,4,2,6,FR,France\n199416,3,5156,3176,7136,9,6,12,FR,France\n199415,3,6952,4678,9226,12,8,16,FR,France\n199414,3,4671,2784,6558,8,5,11,FR,France\n199413,3,3343,1641,5045,6,3,9,FR,France\n199412,3,4305,2412,6198,7,4,10,FR,France\n199411,3,5399,3327,7471,9,5,13,FR,France\n199410,3,4548,2529,6567,8,4,12,FR,France\n199409,3,5635,3251,8019,10,6,14,FR,France\n199408,3,9539,6652,12426,17,12,22,FR,France\n199407,3,14639,11188,18090,25,19,31,FR,France\n199406,3,17308,13395,21221,30,23,37,FR,France\n199405,3,18489,14290,22688,32,25,39,FR,France\n199404,3,23712,19048,28376,41,33,49,FR,France\n199403,3,29882,24817,34947,52,43,61,FR,France\n199402,3,47402,41415,53389,82,72,92,FR,France\n199401,3,118119,108182,128056,205,188,222,FR,France\n199352,3,233137,218608,247666,406,381,431,FR,France\n199351,3,377472,359792,395152,658,627,689,FR,France\n199350,3,627639,607097,648181,1094,1058,1130,FR,France\n199349,3,898045,873419,922671,1565,1522,1608,FR,France\n199348,3,527582,507752,547412,920,885,955,FR,France\n199347,3,241371,226769,255973,421,396,446,FR,France\n199346,3,76034,68003,84065,133,119,147,FR,France\n199345,3,32289,27022,37556,56,47,65,FR,France\n199344,3,17832,14015,21649,31,24,38,FR,France\n199343,3,15098,11333,18863,26,19,33,FR,France\n199342,3,19187,14893,23481,33,26,40,FR,France\n199341,3,18285,14384,22186,32,25,39,FR,France\n199340,3,13805,10348,17262,24,18,30,FR,France\n199339,3,14783,11173,18393,26,20,32,FR,France\n199338,3,10492,7329,13655,18,12,24,FR,France\n199337,3,7023,4503,9543,12,8,16,FR,France\n199336,3,4361,2445,6277,8,5,11,FR,France\n199335,3,5589,3066,8112,10,6,14,FR,France\n199334,3,2984,1209,4759,5,2,8,FR,France\n199333,3,3217,758,5676,6,2,10,FR,France\n199332,3,3755,1051,6459,7,2,12,FR,France\n199331,3,4163,1768,6558,7,3,11,FR,France\n199330,3,4055,1907,6203,7,3,11,FR,France\n199329,3,3714,1668,5760,6,2,10,FR,France\n199328,3,1774,484,3064,3,1,5,FR,France\n199327,3,2574,918,4230,4,1,7,FR,France\n199326,3,3048,1450,4646,5,2,8,FR,France\n199325,3,8348,5260,11436,15,10,20,FR,France\n199324,3,6624,3747,9501,12,7,17,FR,France\n199323,3,7424,4302,10546,13,8,18,FR,France\n199322,3,3432,1849,5015,6,3,9,FR,France\n199321,3,5942,3670,8214,10,6,14,FR,France\n199320,3,5137,3157,7117,9,6,12,FR,France\n199319,3,4593,2725,6461,8,5,11,FR,France\n199318,3,5027,3075,6979,9,6,12,FR,France\n199317,3,8111,5138,11084,14,9,19,FR,France\n199316,3,24932,19468,30396,43,33,53,FR,France\n199315,3,22181,17147,27215,39,30,48,FR,France\n199314,3,38266,30865,45667,67,54,80,FR,France\n199313,3,62987,54506,71468,110,95,125,FR,France\n199312,3,63493,55956,71030,111,98,124,FR,France\n199311,3,80548,72628,88468,140,126,154,FR,France\n199310,3,127910,117688,138132,223,205,241,FR,France\n199309,3,184150,171378,196922,321,299,343,FR,France\n199308,3,222932,209051,236813,389,365,413,FR,France\n199307,3,248494,234936,262052,433,409,457,FR,France\n199306,3,286939,271830,302048,500,474,526,FR,France\n199305,3,255890,241516,270264,446,421,471,FR,France\n199304,3,193107,181261,204953,337,316,358,FR,France\n199303,3,147854,137256,158452,258,240,276,FR,France\n199302,3,90269,82164,98374,157,143,171,FR,France\n199301,3,75288,67244,83332,131,117,145,FR,France\n199253,3,56622,49107,64137,99,86,112,FR,France\n199252,3,49588,42568,56608,87,75,99,FR,France\n199251,3,41156,35024,47288,72,61,83,FR,France\n199250,3,40100,34699,45501,70,61,79,FR,France\n199249,3,39146,33847,44445,69,60,78,FR,France\n199248,3,32392,27499,37285,57,48,66,FR,France\n199247,3,26276,21797,30755,46,38,54,FR,France\n199246,3,22758,18462,27054,40,32,48,FR,France\n199245,3,22023,17804,26242,39,32,46,FR,France\n199244,3,27619,22945,32293,48,40,56,FR,France\n199243,3,24969,20704,29234,44,37,51,FR,France\n199242,3,29980,25261,34699,52,44,60,FR,France\n199241,3,24091,19953,28229,42,35,49,FR,France\n199240,3,17593,13885,21301,31,25,37,FR,France\n199239,3,13535,10301,16769,24,18,30,FR,France\n199238,3,9837,7106,12568,17,12,22,FR,France\n199237,3,7480,5130,9830,13,9,17,FR,France\n199236,3,5155,2958,7352,9,5,13,FR,France\n199235,3,6383,3687,9079,11,6,16,FR,France\n199234,3,2953,922,4984,5,1,9,FR,France\n199233,3,4046,1549,6543,7,3,11,FR,France\n199232,3,4963,2215,7711,9,4,14,FR,France\n199231,3,4233,1733,6733,7,3,11,FR,France\n199230,3,3091,1145,5037,5,2,8,FR,France\n199229,3,3586,1583,5589,6,2,10,FR,France\n199228,3,4179,2133,6225,7,3,11,FR,France\n199227,3,5568,3134,8002,10,6,14,FR,France\n199226,3,5886,3229,8543,10,5,15,FR,France\n199225,3,5304,2805,7803,9,5,13,FR,France\n199224,3,5928,3482,8374,10,6,14,FR,France\n199223,3,3914,1855,5973,7,3,11,FR,France\n199222,3,4899,2641,7157,9,5,13,FR,France\n199221,3,5059,2889,7229,9,5,13,FR,France\n199220,3,4308,2226,6390,8,4,12,FR,France\n199219,3,2982,1181,4783,5,2,8,FR,France\n199218,3,3887,1777,5997,7,3,11,FR,France\n199217,3,3614,1216,6012,6,2,10,FR,France\n199216,3,5460,2934,7986,10,6,14,FR,France\n199215,3,8642,5029,12255,15,9,21,FR,France\n199214,3,11346,7536,15156,20,13,27,FR,France\n199213,3,11693,8096,15290,20,14,26,FR,France\n199212,3,11752,7834,15670,21,14,28,FR,France\n199211,3,11689,7575,15803,20,13,27,FR,France\n199210,3,19224,12971,25477,34,23,45,FR,France\n199209,3,26629,20275,32983,47,36,58,FR,France\n199208,3,37667,30887,44447,66,54,78,FR,France\n199207,3,57312,48777,65847,100,85,115,FR,France\n199206,3,112450,99989,124911,197,175,219,FR,France\n199205,3,165474,151342,179606,290,265,315,FR,France\n199204,3,147959,133595,162323,259,234,284,FR,France\n199203,3,137893,122944,152842,241,215,267,FR,France\n199202,3,185852,166558,205146,325,291,359,FR,France\n199201,3,247688,222574,272802,434,390,478,FR,France\n199152,3,349815,325499,374131,615,572,658,FR,France\n199151,3,378413,355928,400898,666,626,706,FR,France\n199150,3,198721,182878,214564,350,322,378,FR,France\n199149,3,93903,82992,104814,165,146,184,FR,France\n199148,3,45173,37384,52962,79,65,93,FR,France\n199147,3,35691,28224,43158,63,50,76,FR,France\n199146,3,23685,17531,29839,42,31,53,FR,France\n199145,3,19565,13551,25579,34,23,45,FR,France\n199144,3,21571,15477,27665,38,27,49,FR,France\n199143,3,28842,21958,35726,51,39,63,FR,France\n199142,3,27483,20385,34581,48,36,60,FR,France\n199141,3,28185,20655,35715,50,37,63,FR,France\n199140,3,26740,16049,37431,47,28,66,FR,France\n199139,3,14373,8734,20012,25,15,35,FR,France\n199138,3,7460,3700,11220,13,6,20,FR,France\n199137,3,2429,434,4424,4,0,8,FR,France\n199136,3,2380,0,4882,4,0,8,FR,France\n199135,3,2372,0,5025,4,0,9,FR,France\n199134,3,2099,0,5104,4,0,9,FR,France\n199133,3,1654,0,4102,3,0,7,FR,France\n199132,3,625,0,2190,1,0,4,FR,France\n199131,3,2464,0,5830,4,0,10,FR,France\n199130,3,2382,0,6857,4,0,12,FR,France\n199129,3,3837,40,7634,7,0,14,FR,France\n199128,3,3297,152,6442,6,0,12,FR,France\n199127,3,3164,934,5394,6,2,10,FR,France\n199126,3,6376,3324,9428,11,6,16,FR,France\n199125,3,8218,4776,11660,14,8,20,FR,France\n199124,3,8223,4660,11786,14,8,20,FR,France\n199123,3,6801,3596,10006,12,6,18,FR,France\n199122,3,6050,2682,9418,11,5,17,FR,France\n199121,3,6391,3385,9397,11,6,16,FR,France\n199120,3,8633,4683,12583,15,8,22,FR,France\n199119,3,7785,3986,11584,14,7,21,FR,France\n199118,3,10856,6457,15255,19,11,27,FR,France\n199117,3,15603,10950,20256,27,19,35,FR,France\n199116,3,15665,11184,20146,28,20,36,FR,France\n199115,3,15062,10715,19409,26,18,34,FR,France\n199114,3,27862,21583,34141,49,38,60,FR,France\n199113,3,32179,25829,38529,57,46,68,FR,France\n199112,3,27873,22312,33434,49,39,59,FR,France\n199111,3,46186,38876,53496,81,68,94,FR,France\n199110,3,88750,77784,99716,156,137,175,FR,France\n199109,3,139093,124326,153860,245,219,271,FR,France\n199108,3,216369,198630,234108,381,350,412,FR,France\n199107,3,208836,191789,225883,367,337,397,FR,France\n199106,3,134737,121280,148194,237,213,261,FR,France\n199105,3,73564,62716,84412,129,110,148,FR,France\n199104,3,48253,39031,57475,85,69,101,FR,France\n199103,3,29382,22258,36506,52,39,65,FR,France\n199102,3,29759,22044,37474,52,38,66,FR,France\n199101,3,42927,33706,52148,76,60,92,FR,France\n199052,3,41262,31607,50917,73,56,90,FR,France\n199051,3,46924,37544,56304,83,66,100,FR,France\n199050,3,44125,36137,52113,78,64,92,FR,France\n199049,3,38379,30603,46155,68,54,82,FR,France\n199048,3,29571,22315,36827,52,39,65,FR,France\n199047,3,23358,15890,30826,41,28,54,FR,France\n199046,3,20246,7930,32562,36,14,58,FR,France\n199045,3,17571,11591,23551,31,20,42,FR,France\n199044,3,16182,10305,22059,29,19,39,FR,France\n199043,3,17579,11588,23570,31,20,42,FR,France\n199042,3,13011,7875,18147,23,14,32,FR,France\n199041,3,19723,13330,26116,35,24,46,FR,France\n199040,3,20433,14614,26252,36,26,46,FR,France\n199039,3,15618,10315,20921,28,19,37,FR,France\n199038,3,11146,6197,16095,20,11,29,FR,France\n199037,3,4051,1022,7080,7,2,12,FR,France\n199036,3,2542,124,4960,4,0,8,FR,France\n199035,3,934,0,2681,2,0,5,FR,France\n199034,3,201,0,595,0,0,1,FR,France\n199033,3,0,0,0,0,0,0,FR,France\n199032,3,1399,0,3849,2,0,6,FR,France\n199031,3,881,0,2206,2,0,4,FR,France\n199030,3,425,0,1262,1,0,2,FR,France\n199029,3,1077,0,2643,2,0,5,FR,France\n199028,3,959,0,2252,2,0,4,FR,France\n199027,3,2948,793,5103,5,1,9,FR,France\n199026,3,7236,2651,11821,13,5,21,FR,France\n199025,3,7879,3136,12622,14,6,22,FR,France\n199024,3,5727,2460,8994,10,4,16,FR,France\n199023,3,3655,1043,6267,6,1,11,FR,France\n199022,3,4196,1292,7100,7,2,12,FR,France\n199021,3,1004,0,2367,2,0,4,FR,France\n199020,3,4506,1771,7241,8,3,13,FR,France\n199019,3,5897,2440,9354,10,4,16,FR,France\n199018,3,1738,141,3335,3,0,6,FR,France\n199017,3,5278,2197,8359,9,4,14,FR,France\n199016,3,8129,3754,12504,14,6,22,FR,France\n199015,3,11707,5831,17583,21,11,31,FR,France\n199014,3,12862,8177,17547,23,15,31,FR,France\n199013,3,21879,15088,28670,39,27,51,FR,France\n199012,3,17035,11135,22935,30,20,40,FR,France\n199011,3,20018,14311,25725,35,25,45,FR,France\n199010,3,16294,11045,21543,29,20,38,FR,France\n199009,3,21793,15460,28126,39,28,50,FR,France\n199008,3,26110,19342,32878,46,34,58,FR,France\n199007,3,61742,49720,73764,109,88,130,FR,France\n199006,3,399984,353345,446623,707,625,789,FR,France\n199005,3,161765,146354,177176,286,259,313,FR,France\n199004,3,287771,267698,307844,509,474,544,FR,France\n199003,3,315466,296550,334382,558,525,591,FR,France\n199002,3,345060,326087,364033,610,576,644,FR,France\n199001,3,483600,460913,506287,855,815,895,FR,France\n198952,3,581149,556023,606275,1035,990,1080,FR,France\n198951,3,821540,793846,849234,1463,1414,1512,FR,France\n198950,3,749283,723633,774933,1334,1288,1380,FR,France\n198949,3,358043,340053,376033,638,606,670,FR,France\n198948,3,119087,108253,129921,212,193,231,FR,France\n198947,3,40963,33897,48029,73,60,86,FR,France\n198946,3,23547,17952,29142,42,32,52,FR,France\n198945,3,22711,16999,28423,40,30,50,FR,France\n198944,3,23405,17475,29335,42,31,53,FR,France\n198943,3,29549,23287,35811,53,42,64,FR,France\n198942,3,39410,32172,46648,70,57,83,FR,France\n198941,3,43763,35245,52281,78,63,93,FR,France\n198940,3,31453,24288,38618,56,43,69,FR,France\n198939,3,24622,18425,30819,44,33,55,FR,France\n198938,3,18296,13483,23109,33,24,42,FR,France\n198937,3,12022,8082,15962,21,14,28,FR,France\n198936,3,4769,2299,7239,8,4,12,FR,France\n198935,3,4661,1696,7626,8,3,13,FR,France\n198934,3,6039,2185,9893,11,4,18,FR,France\n198933,3,7940,3858,12022,14,7,21,FR,France\n198932,3,7114,2361,11867,13,5,21,FR,France\n198931,3,2721,0,5478,5,0,10,FR,France\n198930,3,3168,561,5775,6,1,11,FR,France\n198929,3,3909,1504,6314,7,3,11,FR,France\n198928,3,1284,105,2463,2,0,4,FR,France\n198927,3,3641,1350,5932,6,2,10,FR,France\n198926,3,5753,2885,8621,10,5,15,FR,France\n198925,3,6299,3454,9144,11,6,16,FR,France\n198924,3,6337,3537,9137,11,6,16,FR,France\n198923,3,11779,7984,15574,21,14,28,FR,France\n198922,3,9104,4764,13444,16,8,24,FR,France\n198921,3,9554,4316,14792,17,8,26,FR,France\n198920,3,6093,1023,11163,11,2,20,FR,France\n198919,3,0,,,0,,,FR,France\n198918,3,13452,1365,25539,24,2,46,FR,France\n198917,3,10949,7147,14751,19,12,26,FR,France\n198916,3,10908,7494,14322,19,13,25,FR,France\n198915,3,9667,6209,13125,17,11,23,FR,France\n198914,3,15230,10469,19991,27,19,35,FR,France\n198913,3,10564,6767,14361,19,12,26,FR,France\n198912,3,13419,9542,17296,24,17,31,FR,France\n198911,3,16633,12140,21126,30,22,38,FR,France\n198910,3,12387,8750,16024,22,16,28,FR,France\n198909,3,12895,9183,16607,23,16,30,FR,France\n198908,3,19746,15258,24234,35,27,43,FR,France\n198907,3,27277,21760,32794,49,39,59,FR,France\n198906,3,47844,40320,55368,85,72,98,FR,France\n198905,3,52840,45665,60015,94,81,107,FR,France\n198904,3,54942,47750,62134,98,85,111,FR,France\n198903,3,66010,58065,73955,118,104,132,FR,France\n198902,3,112284,102003,122565,200,182,218,FR,France\n198901,3,202266,188305,216227,360,335,385,FR,France\n198852,3,467971,447033,488909,837,800,874,FR,France\n198851,3,872748,846468,899028,1562,1515,1609,FR,France\n198850,3,1001824,974799,1028849,1793,1745,1841,FR,France\n198849,3,966523,940068,992978,1729,1682,1776,FR,France\n198848,3,637811,614785,660837,1141,1100,1182,FR,France\n198847,3,246062,231234,260890,440,413,467,FR,France\n198846,3,92484,83160,101808,165,148,182,FR,France\n198845,3,53940,46148,61732,97,83,111,FR,France\n198844,3,42106,35336,48876,75,63,87,FR,France\n198843,3,38252,31909,44595,68,57,79,FR,France\n198842,3,45495,38467,52523,81,68,94,FR,France\n198841,3,46336,39344,53328,83,70,96,FR,France\n198840,3,39882,33507,46257,71,60,82,FR,France\n198839,3,43730,36755,50705,78,66,90,FR,France\n198838,3,35243,29367,41119,63,52,74,FR,France\n198837,3,15537,11911,19163,28,22,34,FR,France\n198836,3,7539,4840,10238,13,8,18,FR,France\n198835,3,7797,4762,10832,14,9,19,FR,France\n198834,3,4950,2005,7895,9,4,14,FR,France\n198833,3,7937,3861,12013,14,7,21,FR,France\n198832,3,7033,2595,11471,13,5,21,FR,France\n198831,3,8758,3591,13925,16,7,25,FR,France\n198830,3,4205,1224,7186,8,3,13,FR,France\n198829,3,6103,1013,11193,11,2,20,FR,France\n198828,3,8562,3483,13641,15,6,24,FR,France\n198827,3,4690,2196,7184,8,4,12,FR,France\n198826,3,7065,3905,10225,13,7,19,FR,France\n198825,3,7657,4664,10650,14,9,19,FR,France\n198824,3,6676,3978,9374,12,7,17,FR,France\n198823,3,8695,5755,11635,16,11,21,FR,France\n198822,3,11566,8282,14850,21,15,27,FR,France\n198821,3,11107,7742,14472,20,14,26,FR,France\n198820,3,14118,10223,18013,25,18,32,FR,France\n198819,3,18260,13847,22673,33,25,41,FR,France\n198818,3,20415,16281,24549,37,30,44,FR,France\n198817,3,21750,17436,26064,39,31,47,FR,France\n198816,3,33730,27496,39964,60,49,71,FR,France\n198815,3,70616,61754,79478,126,110,142,FR,France\n198814,3,123868,113211,134525,222,203,241,FR,France\n198813,3,193710,181519,205901,347,325,369,FR,France\n198812,3,283445,268834,298056,507,481,533,FR,France\n198811,3,316175,300858,331492,566,539,593,FR,France\n198810,3,235142,222004,248280,421,397,445,FR,France\n198809,3,135564,125263,145865,243,225,261,FR,France\n198808,3,87753,78449,97057,157,140,174,FR,France\n198807,3,77099,68423,85775,138,122,154,FR,France\n198806,3,69349,61502,77196,124,110,138,FR,France\n198805,3,72705,64952,80458,130,116,144,FR,France\n198804,3,72818,64944,80692,130,116,144,FR,France\n198803,3,68869,60922,76816,123,109,137,FR,France\n198802,3,59743,51907,67579,107,93,121,FR,France\n198801,3,60929,52573,69285,109,94,124,FR,France\n198753,3,47257,38170,56344,85,69,101,FR,France\n198752,3,11935,2353,21517,21,4,38,FR,France\n198751,3,47744,34266,61222,86,62,110,FR,France\n198750,3,57767,50181,65353,104,90,118,FR,France\n198749,3,49380,42461,56299,89,77,101,FR,France\n198748,3,41871,35115,48627,75,63,87,FR,France\n198747,3,29688,23465,35911,53,42,64,FR,France\n198746,3,37216,30199,44233,67,54,80,FR,France\n198745,3,35456,29024,41888,64,52,76,FR,France\n198744,3,41024,33829,48219,74,61,87,FR,France\n198743,3,46356,38370,54342,83,69,97,FR,France\n198742,3,38021,30236,45806,68,54,82,FR,France\n198741,3,42021,32016,52026,76,58,94,FR,France\n198740,3,24641,15930,33352,44,28,60,FR,France\n198739,3,32328,23548,41108,58,42,74,FR,France\n198738,3,16782,11870,21694,30,21,39,FR,France\n198737,3,11208,6542,15874,20,12,28,FR,France\n198736,3,7906,4014,11798,14,7,21,FR,France\n198735,3,6149,2970,9328,11,5,17,FR,France\n198734,3,6631,2734,10528,12,5,19,FR,France\n198733,3,6404,1834,10974,12,4,20,FR,France\n198732,3,7215,2353,12077,13,4,22,FR,France\n198731,3,8233,3655,12811,15,7,23,FR,France\n198730,3,4642,1301,7983,8,2,14,FR,France\n198729,3,4389,913,7865,8,2,14,FR,France\n198728,3,2702,138,5266,5,0,10,FR,France\n198727,3,10171,5904,14438,18,10,26,FR,France\n198726,3,12341,7824,16858,22,14,30,FR,France\n198725,3,23413,15490,31336,42,28,56,FR,France\n198724,3,11289,7282,15296,20,13,27,FR,France\n198723,3,15857,10943,20771,29,20,38,FR,France\n198722,3,14887,9743,20031,27,18,36,FR,France\n198721,3,17619,12649,22589,32,23,41,FR,France\n198720,3,10344,6454,14234,19,12,26,FR,France\n198719,3,12539,7943,17135,23,15,31,FR,France\n198718,3,16095,10330,21860,29,19,39,FR,France\n198717,3,21256,14850,27662,38,26,50,FR,France\n198716,3,32416,25100,39732,58,45,71,FR,France\n198715,3,44292,36456,52128,80,66,94,FR,France\n198714,3,50642,41866,59418,91,75,107,FR,France\n198713,3,62246,52749,71743,112,95,129,FR,France\n198712,3,59625,50653,68597,107,91,123,FR,France\n198711,3,53561,45035,62087,96,81,111,FR,France\n198710,3,93067,80519,105615,167,144,190,FR,France\n198709,3,147006,133519,160493,264,240,288,FR,France\n198708,3,217779,202179,233379,391,363,419,FR,France\n198707,3,288180,270718,305642,518,487,549,FR,France\n198706,3,296702,279051,314353,533,501,565,FR,France\n198705,3,236046,219483,252609,424,394,454,FR,France\n198704,3,158333,143625,173041,285,259,311,FR,France\n198703,3,103841,91699,115983,187,165,209,FR,France\n198702,3,74213,64014,84412,133,115,151,FR,France\n198701,3,69745,59207,80283,125,106,144,FR,France\n198652,3,76263,64958,87568,138,118,158,FR,France\n198651,3,72920,63047,82793,132,114,150,FR,France\n198650,3,73413,64019,82807,133,116,150,FR,France\n198649,3,56296,48229,64363,102,87,117,FR,France\n198648,3,46031,38578,53484,83,70,96,FR,France\n198647,3,36740,29710,43770,66,53,79,FR,France\n198646,3,32134,25327,38941,58,46,70,FR,France\n198645,3,38964,31382,46546,70,56,84,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rance\n198445,3,135223,101414,169032,246,184,308,FR,France\n198444,3,68422,20056,116788,125,37,213,FR,France\n'
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module3/data_7.csv 0 → 100644
View file @ e8e42a72
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@date=2022-06-04T12:28:03+02:00\nweek,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name\n202221,3,17538,12255,22821,26,18,34,FR,France\n202220,3,20413,16271,24555,31,25,37,FR,France\n202219,3,17874,14068,21680,27,21,33,FR,France\n202218,3,30353,25089,35617,46,38,54,FR,France\n202217,3,36006,30373,41639,54,46,62,FR,France\n202216,3,49949,42836,57062,75,64,86,FR,France\n202215,3,100806,90824,110788,152,137,167,FR,France\n202214,3,155441,143891,166991,234,217,251,FR,France\n202213,3,191914,179558,204270,289,270,308,FR,France\n202212,3,166224,155035,177413,251,234,268,FR,France\n202211,3,122849,113306,132392,185,171,199,FR,France\n202210,3,87904,79741,96067,133,121,145,FR,France\n202209,3,50182,43958,56406,76,67,85,FR,France\n202208,3,30963,25942,35984,47,39,55,FR,France\n202207,3,34882,29446,40318,53,45,61,FR,France\n202206,3,46623,40398,52848,70,61,79,FR,France\n202205,3,62970,56043,69897,95,85,105,FR,France\n202204,3,72209,64804,79614,109,98,120,FR,France\n202203,3,74613,67144,82082,113,102,124,FR,France\n202202,3,55920,49511,62329,84,74,94,FR,France\n202201,3,57629,50699,64559,87,77,97,FR,France\n202152,3,54349,47029,61669,82,71,93,FR,France\n202151,3,41698,35359,48037,63,53,73,FR,France\n202150,3,38117,32497,43737,58,49,67,FR,France\n202149,3,40168,34716,45620,61,53,69,FR,France\n202148,3,41842,36364,47320,63,55,71,FR,France\n202147,3,36598,31338,41858,55,47,63,FR,France\n202146,3,30059,25302,34816,46,39,53,FR,France\n202145,3,20364,16564,24164,31,25,37,FR,France\n202144,3,18999,15042,22956,29,23,35,FR,France\n202143,3,27040,21935,32145,41,33,49,FR,France\n202142,3,28343,23382,33304,43,35,51,FR,France\n202141,3,25043,20586,29500,38,31,45,FR,France\n202140,3,26286,21842,30730,40,33,47,FR,France\n202139,3,22155,18014,26296,34,28,40,FR,France\n202138,3,15614,12310,18918,24,19,29,FR,France\n202137,3,13673,10404,16942,21,16,26,FR,France\n202136,3,10289,7505,13073,16,12,20,FR,France\n202135,3,12609,9282,15936,19,14,24,FR,France\n202134,3,13081,9540,16622,20,15,25,FR,France\n202133,3,10392,7042,13742,16,11,21,FR,France\n202132,3,15586,11009,20163,24,17,31,FR,France\n202131,3,18855,13664,24046,29,21,37,FR,France\n202130,3,13991,9695,18287,21,14,28,FR,France\n202129,3,13626,9618,17634,21,15,27,FR,France\n202128,3,8636,5430,11842,13,8,18,FR,France\n202127,3,10693,6838,14548,16,10,22,FR,France\n202126,3,7086,4109,10063,11,6,16,FR,France\n202125,3,7942,5540,10344,12,8,16,FR,France\n202124,3,4855,3011,6699,7,4,10,FR,France\n202123,3,6710,4455,8965,10,7,13,FR,France\n202122,3,7879,5495,10263,12,8,16,FR,France\n202121,3,7827,5403,10251,12,8,16,FR,France\n202120,3,10278,7540,13016,16,12,20,FR,France\n202119,3,9539,6860,12218,14,10,18,FR,France\n202118,3,12135,9165,15105,18,14,22,FR,France\n202117,3,12058,8891,15225,18,13,23,FR,France\n202116,3,16505,12735,20275,25,19,31,FR,France\n202115,3,19306,15398,23214,29,23,35,FR,France\n202114,3,21073,17099,25047,32,26,38,FR,France\n202113,3,26413,22094,30732,40,33,47,FR,France\n202112,3,30658,25919,35397,46,39,53,FR,France\n202111,3,24988,20718,29258,38,32,44,FR,France\n202110,3,19539,15951,23127,30,25,35,FR,France\n202109,3,17572,13926,21218,27,21,33,FR,France\n202108,3,20882,16907,24857,32,26,38,FR,France\n202107,3,22393,18303,26483,34,28,40,FR,France\n202106,3,23183,19134,27232,35,29,41,FR,France\n202105,3,22426,18445,26407,34,28,40,FR,France\n202104,3,25804,21491,30117,39,32,46,FR,France\n202103,3,21810,17894,25726,33,27,39,FR,France\n202102,3,17320,13906,20734,26,21,31,FR,France\n202101,3,21799,17778,25820,33,27,39,FR,France\n202053,3,21220,16498,25942,32,25,39,FR,France\n202052,3,16428,12285,20571,25,19,31,FR,France\n202051,3,21619,17370,25868,33,27,39,FR,France\n202050,3,16845,13220,20470,26,20,32,FR,France\n202049,3,12939,9923,15955,20,15,25,FR,France\n202048,3,13804,10641,16967,21,16,26,FR,France\n202047,3,19085,15285,22885,29,23,35,FR,France\n202046,3,24801,20503,29099,38,31,45,FR,France\n202045,3,42516,36857,48175,65,56,74,FR,France\n202044,3,44567,38521,50613,68,59,77,FR,France\n202043,3,43799,37581,50017,67,58,76,FR,France\n202042,3,35183,29847,40519,53,45,61,FR,France\n202041,3,27926,23251,32601,42,35,49,FR,France\n202040,3,20443,16381,24505,31,25,37,FR,France\n202039,3,19810,15900,23720,30,24,36,FR,France\n202038,3,25559,21141,29977,39,32,46,FR,France\n202037,3,18485,14649,22321,28,22,34,FR,France\n202036,3,10390,7646,13134,16,12,20,FR,France\n202035,3,9918,6842,12994,15,10,20,FR,France\n202034,3,6084,3090,9078,9,4,14,FR,France\n202033,3,6106,3411,8801,9,5,13,FR,France\n202032,3,5918,3330,8506,9,5,13,FR,France\n202031,3,4351,2269,6433,7,4,10,FR,France\n202030,3,8179,5442,10916,12,8,16,FR,France\n202029,3,8687,5860,11514,13,9,17,FR,France\n202028,3,8325,5688,10962,13,9,17,FR,France\n202027,3,4066,2406,5726,6,3,9,FR,France\n202026,3,4039,2389,5689,6,3,9,FR,France\n202025,3,2853,1488,4218,4,2,6,FR,France\n202024,3,3058,1690,4426,5,3,7,FR,France\n202023,3,4168,2468,5868,6,3,9,FR,France\n202022,3,3580,1947,5213,5,3,7,FR,France\n202021,3,6114,4026,8202,9,6,12,FR,France\n202020,3,9315,6775,11855,14,10,18,FR,France\n202019,3,11679,8722,14636,18,14,22,FR,France\n202018,3,16398,12851,19945,25,20,30,FR,France\n202017,3,18082,14454,21710,27,21,33,FR,France\n202016,3,24165,19893,28437,37,31,43,FR,France\n202015,3,41049,35377,46721,62,53,71,FR,France\n202014,3,71666,64531,78801,109,98,120,FR,France\n202013,3,107742,99187,116297,164,151,177,FR,France\n202012,3,107283,98610,115956,163,150,176,FR,France\n202011,3,112943,104468,121418,172,159,185,FR,France\n202010,3,105145,96812,113478,160,147,173,FR,France\n202009,3,110696,102066,119326,168,155,181,FR,France\n202008,3,143753,133984,153522,218,203,233,FR,France\n202007,3,183610,172812,194408,279,263,295,FR,France\n202006,3,206669,195481,217857,314,297,331,FR,France\n202005,3,187957,177445,198469,285,269,301,FR,France\n202004,3,122331,113492,131170,186,173,199,FR,France\n202003,3,78413,71330,85496,119,108,130,FR,France\n202002,3,53614,47654,59574,81,72,90,FR,France\n202001,3,36850,31608,42092,56,48,64,FR,France\n201952,3,28135,23220,33050,43,36,50,FR,France\n201951,3,29786,25042,34530,45,38,52,FR,France\n201950,3,34223,29156,39290,52,44,60,FR,France\n201949,3,25662,21414,29910,39,33,45,FR,France\n201948,3,22367,18055,26679,34,27,41,FR,France\n201947,3,18669,14759,22579,28,22,34,FR,France\n201946,3,16030,12567,19493,24,19,29,FR,France\n201945,3,10138,7160,13116,15,10,20,FR,France\n201944,3,7822,5010,10634,12,8,16,FR,France\n201943,3,9487,6448,12526,14,9,19,FR,France\n201942,3,7747,5243,10251,12,8,16,FR,France\n201941,3,7122,4720,9524,11,7,15,FR,France\n201940,3,8505,5784,11226,13,9,17,FR,France\n201939,3,7091,4462,9720,11,7,15,FR,France\n201938,3,4897,2891,6903,7,4,10,FR,France\n201937,3,3172,1367,4977,5,2,8,FR,France\n201936,3,2295,728,3862,3,1,5,FR,France\n201935,3,1010,2,2018,2,0,4,FR,France\n201934,3,1672,279,3065,3,1,5,FR,France\n201933,3,1593,68,3118,2,0,4,FR,France\n201932,3,1592,71,3113,2,0,4,FR,France\n201931,3,2337,695,3979,4,2,6,FR,France\n201930,3,1944,415,3473,3,1,5,FR,France\n201929,3,2096,420,3772,3,0,6,FR,France\n201928,3,1195,125,2265,2,0,4,FR,France\n201927,3,2466,848,4084,4,2,6,FR,France\n201926,3,1798,402,3194,3,1,5,FR,France\n201925,3,1544,389,2699,2,0,4,FR,France\n201924,3,876,17,1735,1,0,2,FR,France\n201923,3,2004,748,3260,3,1,5,FR,France\n201922,3,2181,602,3760,3,1,5,FR,France\n201921,3,2585,1102,4068,4,2,6,FR,France\n201920,3,2891,1202,4580,4,1,7,FR,France\n201919,3,3221,1509,4933,5,2,8,FR,France\n201918,3,1385,278,2492,2,0,4,FR,France\n201917,3,3166,1348,4984,5,2,8,FR,France\n201916,3,3842,1973,5711,6,3,9,FR,France\n201915,3,5932,3669,8195,9,6,12,FR,France\n201914,3,12675,9167,16183,19,14,24,FR,France\n201913,3,16513,12530,20496,25,19,31,FR,France\n201912,3,22184,17786,26582,34,27,41,FR,France\n201911,3,31553,26556,36550,48,40,56,FR,France\n201910,3,49742,43268,56216,76,66,86,FR,France\n201909,3,88354,79564,97144,134,121,147,FR,France\n201908,3,172604,160024,185184,262,243,281,FR,France\n201907,3,307338,291220,323456,467,443,491,FR,France\n201906,3,394286,376782,411790,599,572,626,FR,France\n201905,3,355785,339295,372275,540,515,565,FR,France\n201904,3,241090,227261,254919,366,345,387,FR,France\n201903,3,147063,135890,158236,223,206,240,FR,France\n201902,3,75548,67632,83464,115,103,127,FR,France\n201901,3,50295,43525,57065,76,66,86,FR,France\n201852,3,37903,31375,44431,58,48,68,FR,France\n201851,3,39259,32977,45541,60,50,70,FR,France\n201850,3,27781,22638,32924,42,34,50,FR,France\n201849,3,19738,15481,23995,30,24,36,FR,France\n201848,3,19501,15275,23727,30,24,36,FR,France\n201847,3,15949,12105,19793,24,18,30,FR,France\n201846,3,11278,7957,14599,17,12,22,FR,France\n201845,3,11065,7791,14339,17,12,22,FR,France\n201844,3,6586,3875,9297,10,6,14,FR,France\n201843,3,6550,3988,9112,10,6,14,FR,France\n201842,3,7787,5129,10445,12,8,16,FR,France\n201841,3,8048,5098,10998,12,8,16,FR,France\n201840,3,7409,4717,10101,11,7,15,FR,France\n201839,3,7174,4235,10113,11,7,15,FR,France\n201838,3,7349,4399,10299,11,7,15,FR,France\n201837,3,4915,2386,7444,7,3,11,FR,France\n201836,3,3215,1349,5081,5,2,8,FR,France\n201835,3,1506,239,2773,2,0,4,FR,France\n201834,3,1368,116,2620,2,0,4,FR,France\n201833,3,1962,5,3919,3,0,6,FR,France\n201832,3,1839,183,3495,3,0,6,FR,France\n201831,3,2048,242,3854,3,0,6,FR,France\n201830,3,1951,202,3700,3,0,6,FR,France\n201829,3,1951,252,3650,3,0,6,FR,France\n201828,3,1654,52,3256,3,1,5,FR,France\n201827,3,3266,1145,5387,5,2,8,FR,France\n201826,3,3758,1493,6023,6,3,9,FR,France\n201825,3,4580,2220,6940,7,3,11,FR,France\n201824,3,3223,1351,5095,5,2,8,FR,France\n201823,3,1207,136,2278,2,0,4,FR,France\n201822,3,3202,1330,5074,5,2,8,FR,France\n201821,3,2537,763,4311,4,1,7,FR,France\n201820,3,2694,967,4421,4,1,7,FR,France\n201819,3,1025,0,2098,2,0,4,FR,France\n201818,3,3541,1416,5666,5,2,8,FR,France\n201817,3,2573,1003,4143,4,2,6,FR,France\n201816,3,4818,2724,6912,7,4,10,FR,France\n201815,3,16311,12168,20454,25,19,31,FR,France\n201814,3,22666,18092,27240,35,28,42,FR,France\n201813,3,32680,25536,39824,50,39,61,FR,France\n201812,3,52040,44590,59490,79,68,90,FR,France\n201811,3,65159,56506,73812,99,86,112,FR,France\n201810,3,93512,83989,103035,142,128,156,FR,France\n201809,3,108545,98645,118445,165,150,180,FR,France\n201808,3,131870,120950,142790,201,184,218,FR,France\n201807,3,141138,130177,152099,215,198,232,FR,France\n201806,3,138810,128164,149456,211,195,227,FR,France\n201805,3,157839,146646,169032,240,223,257,FR,France\n201804,3,175483,163835,187131,267,249,285,FR,France\n201803,3,178329,166640,190018,271,253,289,FR,France\n201802,3,198079,185663,210495,302,283,321,FR,France\n201801,3,235493,220941,250045,358,336,380,FR,France\n201752,3,299114,279359,318869,459,429,489,FR,France\n201751,3,229448,214366,244530,352,329,375,FR,France\n201750,3,129535,118787,140283,199,183,215,FR,France\n201749,3,63789,56120,71458,98,86,110,FR,France\n201748,3,37568,31541,43595,58,49,67,FR,France\n201747,3,24972,19923,30021,38,30,46,FR,France\n201746,3,13398,9948,16848,21,16,26,FR,France\n201745,3,14035,8091,19979,22,13,31,FR,France\n201744,3,8544,5318,11770,13,8,18,FR,France\n201743,3,7300,4402,10198,11,7,15,FR,France\n201742,3,9966,6503,13429,15,10,20,FR,France\n201741,3,12434,8718,16150,19,13,25,FR,France\n201740,3,12725,8690,16760,20,14,26,FR,France\n201739,3,14949,10534,19364,23,16,30,FR,France\n201738,3,11463,7438,15488,18,12,24,FR,France\n201737,3,9716,6364,13068,15,10,20,FR,France\n201736,3,2815,917,4713,4,1,7,FR,France\n201735,3,2794,850,4738,4,1,7,FR,France\n201734,3,2497,879,4115,4,2,6,FR,France\n201733,3,2406,766,4046,4,1,7,FR,France\n201732,3,2667,879,4455,4,1,7,FR,France\n201731,3,3256,1158,5354,5,2,8,FR,France\n201730,3,3759,1299,6219,6,2,10,FR,France\n201729,3,5014,1989,8039,8,3,13,FR,France\n201728,3,5271,2576,7966,8,4,12,FR,France\n201727,3,3924,1432,6416,6,2,10,FR,France\n201726,3,3171,1166,5176,5,2,8,FR,France\n201725,3,837,0,1721,1,0,2,FR,France\n201724,3,1566,248,2884,2,0,4,FR,France\n201723,3,1664,203,3125,3,1,5,FR,France\n201722,3,1305,92,2518,2,0,4,FR,France\n201721,3,971,0,2046,1,0,3,FR,France\n201720,3,2686,793,4579,4,1,7,FR,France\n201719,3,3461,1490,5432,5,2,8,FR,France\n201718,3,2102,515,3689,3,1,5,FR,France\n201717,3,2071,428,3714,3,0,6,FR,France\n201716,3,1380,222,2538,2,0,4,FR,France\n201715,3,479,0,1242,1,0,2,FR,France\n201714,3,1110,0,2549,2,0,4,FR,France\n201713,3,7594,3808,11380,12,6,18,FR,France\n201712,3,8780,4834,12726,13,7,19,FR,France\n201711,3,7814,4329,11299,12,7,17,FR,France\n201710,3,11802,7964,15640,18,12,24,FR,France\n201709,3,13111,9099,17123,20,14,26,FR,France\n201708,3,29545,23136,35954,45,35,55,FR,France\n201707,3,59590,49764,69416,91,76,106,FR,France\n201706,3,93628,82560,104696,144,127,161,FR,France\n201705,3,193677,179255,208099,297,275,319,FR,France\n201704,3,256428,240618,272238,394,370,418,FR,France\n201703,3,267276,251345,283207,410,386,434,FR,France\n201702,3,260588,245070,276106,400,376,424,FR,France\n201701,3,255535,239743,271327,392,368,416,FR,France\n201652,3,224489,207799,241179,345,319,371,FR,France\n201651,3,187704,172655,202753,288,265,311,FR,France\n201650,3,126570,115081,138059,194,176,212,FR,France\n201649,3,76390,67374,85406,117,103,131,FR,France\n201648,3,40502,33949,47055,62,52,72,FR,France\n201647,3,22270,17612,26928,34,27,41,FR,France\n201646,3,20816,16125,25507,32,25,39,FR,France\n201645,3,15957,11448,20466,24,17,31,FR,France\n201644,3,15145,10357,19933,23,16,30,FR,France\n201643,3,9378,5830,12926,14,9,19,FR,France\n201642,3,12920,9044,16796,20,14,26,FR,France\n201641,3,13909,9709,18109,21,15,27,FR,France\n201640,3,13379,8969,17789,21,14,28,FR,France\n201639,3,10598,6814,14382,16,10,22,FR,France\n201638,3,5969,3073,8865,9,5,13,FR,France\n201637,3,4065,1538,6592,6,2,10,FR,France\n201636,3,2372,473,4271,4,1,7,FR,France\n201635,3,3420,1350,5490,5,2,8,FR,France\n201634,3,2233,0,4643,3,0,7,FR,France\n201633,3,1567,0,3938,2,0,6,FR,France\n201632,3,2100,93,4107,3,0,6,FR,France\n201631,3,3691,0,9120,6,0,14,FR,France\n201630,3,3209,644,5774,5,1,9,FR,France\n201629,3,1469,0,3073,2,0,4,FR,France\n201628,3,2725,357,5093,4,0,8,FR,France\n201627,3,5905,2343,9467,9,4,14,FR,France\n201626,3,4186,1636,6736,6,2,10,FR,France\n201625,3,4611,1560,7662,7,2,12,FR,France\n201624,3,4977,2404,7550,8,4,12,FR,France\n201623,3,4893,2416,7370,8,4,12,FR,France\n201622,3,5667,3015,8319,9,5,13,FR,France\n201621,3,5603,2475,8731,9,4,14,FR,France\n201620,3,3908,1679,6137,6,3,9,FR,France\n201619,3,4738,2308,7168,7,3,11,FR,France\n201618,3,8204,4394,12014,13,7,19,FR,France\n201617,3,13385,8822,17948,21,14,28,FR,France\n201616,3,25670,19632,31708,39,30,48,FR,France\n201615,3,48441,39824,57058,74,61,87,FR,France\n201614,3,92603,81261,103945,142,125,159,FR,France\n201613,3,170654,156387,184921,262,240,284,FR,France\n201612,3,272174,254338,290010,418,391,445,FR,France\n201611,3,304543,286453,322633,467,439,495,FR,France\n201610,3,261822,245799,277845,402,377,427,FR,France\n201609,3,229943,214533,245353,353,329,377,FR,France\n201608,3,195067,180874,209260,299,277,321,FR,France\n201607,3,207359,193223,221495,318,296,340,FR,France\n201606,3,196143,182672,209614,301,280,322,FR,France\n201605,3,178963,166296,191630,275,256,294,FR,France\n201604,3,148473,136591,160355,228,210,246,FR,France\n201603,3,75277,66630,83924,116,103,129,FR,France\n201602,3,44617,37821,51413,68,58,78,FR,France\n201601,3,42263,35556,48970,65,55,75,FR,France\n201553,3,24835,19106,30564,38,29,47,FR,France\n201552,3,19495,14319,24671,30,22,38,FR,France\n201551,3,29080,23014,35146,45,36,54,FR,France\n201550,3,25043,19812,30274,39,31,47,FR,France\n201549,3,21479,16686,26272,33,26,40,FR,France\n201548,3,16428,12273,20583,25,19,31,FR,France\n201547,3,14959,10856,19062,23,17,29,FR,France\n201546,3,12599,8237,16961,20,13,27,FR,France\n201545,3,13577,9192,17962,21,14,28,FR,France\n201544,3,14596,10025,19167,23,16,30,FR,France\n201543,3,16749,11745,21753,26,18,34,FR,France\n201542,3,18675,13613,23737,29,21,37,FR,France\n201541,3,13585,9830,17340,21,15,27,FR,France\n201540,3,13100,9349,16851,20,14,26,FR,France\n201539,3,8595,5671,11519,13,8,18,FR,France\n201538,3,8402,4929,11875,13,8,18,FR,France\n201537,3,8817,4089,13545,14,7,21,FR,France\n201536,3,1922,440,3404,3,1,5,FR,France\n201535,3,229,0,644,0,0,1,FR,France\n201534,3,760,0,1618,1,0,2,FR,France\n201533,3,1537,208,2866,2,0,4,FR,France\n201532,3,1594,66,3122,2,0,4,FR,France\n201531,3,2845,475,5215,4,0,8,FR,France\n201530,3,2447,353,4541,4,1,7,FR,France\n201529,3,2389,332,4446,4,1,7,FR,France\n201528,3,2089,105,4073,3,0,6,FR,France\n201527,3,2257,393,4121,3,0,6,FR,France\n201526,3,2536,774,4298,4,1,7,FR,France\n201525,3,2607,680,4534,4,1,7,FR,France\n201524,3,2849,1000,4698,4,1,7,FR,France\n201523,3,2702,857,4547,4,1,7,FR,France\n201522,3,4262,1989,6535,7,3,11,FR,France\n201521,3,5547,2875,8219,9,5,13,FR,France\n201520,3,4594,2040,7148,7,3,11,FR,France\n201519,3,6307,3256,9358,10,5,15,FR,France\n201518,3,3664,1544,5784,6,3,9,FR,France\n201517,3,6382,3523,9241,10,6,14,FR,France\n201516,3,12098,7913,16283,19,13,25,FR,France\n201515,3,19458,14192,24724,30,22,38,FR,France\n201514,3,30940,24617,37263,48,38,58,FR,France\n201513,3,49563,41986,57140,77,65,89,FR,France\n201512,3,70024,61079,78969,109,95,123,FR,France\n201511,3,99295,88838,109752,154,138,170,FR,France\n201510,3,143931,131682,156180,223,204,242,FR,France\n201509,3,238947,222902,254992,370,345,395,FR,France\n201508,3,409972,388670,431274,635,602,668,FR,France\n201507,3,517750,494301,541199,802,766,838,FR,France\n201506,3,533317,510627,556007,827,792,862,FR,France\n201505,3,457911,436964,478858,710,678,742,FR,France\n201504,3,292161,275491,308831,453,427,479,FR,France\n201503,3,153931,141290,166572,239,219,259,FR,France\n201502,3,104096,93358,114834,161,144,178,FR,France\n201501,3,70962,60505,81419,110,94,126,FR,France\n201452,3,63168,52705,73631,98,82,114,FR,France\n201451,3,45346,38002,52690,71,60,82,FR,France\n201450,3,42182,35049,49315,66,55,77,FR,France\n201449,3,33537,27281,39793,52,42,62,FR,France\n201448,3,28156,21896,34416,44,34,54,FR,France\n201447,3,18158,13186,23130,28,20,36,FR,France\n201446,3,14764,10174,19354,23,16,30,FR,France\n201445,3,16172,11449,20895,25,18,32,FR,France\n201444,3,15500,10464,20536,24,16,32,FR,France\n201443,3,16011,10653,21369,25,17,33,FR,France\n201442,3,21651,15828,27474,34,25,43,FR,France\n201441,3,22486,16295,28677,35,25,45,FR,France\n201440,3,16526,11583,21469,26,18,34,FR,France\n201439,3,8583,5054,12112,13,8,18,FR,France\n201438,3,10567,6496,14638,16,10,22,FR,France\n201437,3,7714,3780,11648,12,6,18,FR,France\n201436,3,5018,1949,8087,8,3,13,FR,France\n201435,3,2268,355,4181,4,1,7,FR,France\n201434,3,2367,250,4484,4,1,7,FR,France\n201433,3,2358,0,4875,4,0,8,FR,France\n201432,3,3229,447,6011,5,1,9,FR,France\n201431,3,4143,349,7937,6,0,12,FR,France\n201430,3,4631,902,8360,7,1,13,FR,France\n201429,3,5122,1258,8986,8,2,14,FR,France\n201428,3,4145,1200,7090,6,1,11,FR,France\n201427,3,4823,1997,7649,8,4,12,FR,France\n201426,3,3858,1235,6481,6,2,10,FR,France\n201425,3,4564,1276,7852,7,2,12,FR,France\n201424,3,2007,249,3765,3,0,6,FR,France\n201423,3,5164,1853,8475,8,3,13,FR,France\n201422,3,6907,1856,11958,11,3,19,FR,France\n201421,3,4523,1039,8007,7,2,12,FR,France\n201420,3,5881,2432,9330,9,4,14,FR,France\n201419,3,3588,1277,5899,6,2,10,FR,France\n201418,3,4708,1654,7762,7,2,12,FR,France\n201417,3,2989,625,5353,5,1,9,FR,France\n201416,3,7057,3381,10733,11,5,17,FR,France\n201415,3,10800,6762,14838,17,11,23,FR,France\n201414,3,19217,13490,24944,30,21,39,FR,France\n201413,3,21577,15435,27719,34,24,44,FR,France\n201412,3,23524,17260,29788,37,27,47,FR,France\n201411,3,44513,35939,53087,69,56,82,FR,France\n201410,3,86105,73497,98713,134,114,154,FR,France\n201409,3,147035,131889,162181,229,205,253,FR,France\n201408,3,188419,171950,204888,293,267,319,FR,France\n201407,3,208726,191283,226169,325,298,352,FR,France\n201406,3,160403,145280,175526,250,226,274,FR,France\n201405,3,120261,107176,133346,187,167,207,FR,France\n201404,3,85280,74414,96146,133,116,150,FR,France\n201403,3,64159,54089,74229,100,84,116,FR,France\n201402,3,46850,38202,55498,73,60,86,FR,France\n201401,3,35624,27451,43797,55,42,68,FR,France\n201352,3,30142,22721,37563,47,35,59,FR,France\n201351,3,29787,23215,36359,47,37,57,FR,France\n201350,3,24055,18214,29896,38,29,47,FR,France\n201349,3,18071,13058,23084,28,20,36,FR,France\n201348,3,17606,12195,23017,28,20,36,FR,France\n201347,3,22636,16343,28929,35,25,45,FR,France\n201346,3,13340,8367,18313,21,13,29,FR,France\n201345,3,10596,6057,15135,17,10,24,FR,France\n201344,3,10193,5622,14764,16,9,23,FR,France\n201343,3,15780,9497,22063,25,15,35,FR,France\n201342,3,14830,9545,20115,23,15,31,FR,France\n201341,3,12391,7265,17517,19,11,27,FR,France\n201340,3,9794,5140,14448,15,8,22,FR,France\n201339,3,5371,1704,9038,8,2,14,FR,France\n201338,3,9324,4198,14450,15,7,23,FR,France\n201337,3,5027,1752,8302,8,3,13,FR,France\n201336,3,4639,1425,7853,7,2,12,FR,France\n201335,3,1291,0,3112,2,0,5,FR,France\n201334,3,1889,0,4912,3,0,8,FR,France\n201333,3,4740,348,9132,7,0,14,FR,France\n201332,3,4709,549,8869,7,0,14,FR,France\n201331,3,2270,0,5811,4,0,10,FR,France\n201330,3,2169,0,4630,3,0,7,FR,France\n201329,3,1696,0,3558,3,0,6,FR,France\n201328,3,983,0,2168,2,0,4,FR,France\n201327,3,4278,1327,7229,7,2,12,FR,France\n201326,3,3488,839,6137,5,1,9,FR,France\n201325,3,2735,0,5826,4,0,9,FR,France\n201324,3,7245,2997,11493,11,4,18,FR,France\n201323,3,16094,8918,23270,25,14,36,FR,France\n201322,3,7245,2923,11567,11,4,18,FR,France\n201321,3,5974,2401,9547,9,3,15,FR,France\n201320,3,3831,1245,6417,6,2,10,FR,France\n201319,3,1166,0,2680,2,0,4,FR,France\n201318,3,3415,757,6073,5,1,9,FR,France\n201317,3,7941,2950,12932,12,4,20,FR,France\n201316,3,9520,4758,14282,15,8,22,FR,France\n201315,3,19357,13311,25403,30,21,39,FR,France\n201314,3,36855,27737,45973,58,44,72,FR,France\n201313,3,43236,34048,52424,68,54,82,FR,France\n201312,3,60822,50414,71230,95,79,111,FR,France\n201311,3,84308,72456,96160,132,113,151,FR,France\n201310,3,165558,148471,182645,259,232,286,FR,France\n201309,3,259984,239067,280901,407,374,440,FR,France\n201308,3,351626,327537,375715,550,512,588,FR,France\n201307,3,470076,443682,496470,736,695,777,FR,France\n201306,3,471647,445112,498182,738,696,780,FR,France\n201305,3,492026,464729,519323,770,727,813,FR,France\n201304,3,391525,367182,415868,613,575,651,FR,France\n201303,3,224661,207134,242188,352,325,379,FR,France\n201302,3,184159,168343,199975,288,263,313,FR,France\n201301,3,163491,147340,179642,256,231,281,FR,France\n201252,3,159290,141978,176602,251,224,278,FR,France\n201251,3,113901,99835,127967,179,157,201,FR,France\n201250,3,79918,68086,91750,126,107,145,FR,France\n201249,3,47537,38711,56363,75,61,89,FR,France\n201248,3,43006,32863,53149,68,52,84,FR,France\n201247,3,39223,29140,49306,62,46,78,FR,France\n201246,3,26436,18286,34586,42,29,55,FR,France\n201245,3,18893,12799,24987,30,20,40,FR,France\n201244,3,13106,8784,17428,21,14,28,FR,France\n201243,3,17791,11284,24298,28,18,38,FR,France\n201242,3,13096,8369,17823,21,14,28,FR,France\n201241,3,18675,12010,25340,29,19,39,FR,France\n201240,3,17873,11545,24201,28,18,38,FR,France\n201239,3,20257,14180,26334,32,22,42,FR,France\n201238,3,14715,9178,20252,23,14,32,FR,France\n201237,3,7775,3509,12041,12,5,19,FR,France\n201236,3,6384,2420,10348,10,4,16,FR,France\n201235,3,8277,2206,14348,13,3,23,FR,France\n201234,3,3858,0,8641,6,0,14,FR,France\n201233,3,6492,840,12144,10,1,19,FR,France\n201232,3,6381,0,14034,10,0,22,FR,France\n201231,3,2696,0,5763,4,0,9,FR,France\n201230,3,1834,0,4194,3,0,7,FR,France\n201229,3,6329,1424,11234,10,2,18,FR,France\n201228,3,4628,1091,8165,7,1,13,FR,France\n201227,3,4162,1487,6837,7,3,11,FR,France\n201226,3,4819,1097,8541,8,2,14,FR,France\n201225,3,2669,530,4808,4,1,7,FR,France\n201224,3,5977,2335,9619,9,3,15,FR,France\n201223,3,2361,576,4146,4,1,7,FR,France\n201222,3,5772,2435,9109,9,4,14,FR,France\n201221,3,3722,821,6623,6,1,11,FR,France\n201220,3,2731,897,4565,4,1,7,FR,France\n201219,3,3267,1317,5217,5,2,8,FR,France\n201218,3,2328,569,4087,4,1,7,FR,France\n201217,3,6982,2701,11263,11,4,18,FR,France\n201216,3,11455,6874,16036,18,11,25,FR,France\n201215,3,20437,13435,27439,32,21,43,FR,France\n201214,3,36740,27799,45681,58,44,72,FR,France\n201213,3,62917,50171,75663,99,79,119,FR,France\n201212,3,84738,71566,97910,133,112,154,FR,France\n201211,3,128945,113778,144112,203,179,227,FR,France\n201210,3,174704,157337,192071,275,248,302,FR,France\n201209,3,225648,206810,244486,355,325,385,FR,France\n201208,3,287293,264901,309685,452,417,487,FR,France\n201207,3,263557,242711,284403,415,382,448,FR,France\n201206,3,175123,158942,191304,276,251,301,FR,France\n201205,3,106110,92524,119696,167,146,188,FR,France\n201204,3,67778,56784,78772,107,90,124,FR,France\n201203,3,49440,40981,57899,78,65,91,FR,France\n201202,3,40507,32652,48362,64,52,76,FR,France\n201201,3,45104,35640,54568,71,56,86,FR,France\n201152,3,36532,28367,44697,58,45,71,FR,France\n201151,3,25835,19002,32668,41,30,52,FR,France\n201150,3,24155,18145,30165,38,28,48,FR,France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189164,271,241,301,FR,France\n200943,3,131408,114883,147933,209,183,235,FR,France\n200942,3,99387,84491,114283,158,134,182,FR,France\n200941,3,100802,86381,115223,160,137,183,FR,France\n200940,3,111587,97628,125546,178,156,200,FR,France\n200939,3,121267,106153,136381,193,169,217,FR,France\n200938,3,137924,121242,154606,220,193,247,FR,France\n200937,3,101332,87522,115142,161,139,183,FR,France\n200936,3,46024,36435,55613,73,58,88,FR,France\n200935,3,31660,23669,39651,50,37,63,FR,France\n200934,3,24985,17699,32271,40,28,52,FR,France\n200933,3,24435,16308,32562,39,26,52,FR,France\n200932,3,23151,14624,31678,37,23,51,FR,France\n200931,3,30255,9818,50692,48,15,81,FR,France\n200930,3,13868,7861,19875,22,12,32,FR,France\n200929,3,10704,5314,16094,17,8,26,FR,France\n200928,3,15516,273,30759,25,1,49,FR,France\n200927,3,10354,2760,17948,16,4,28,FR,France\n200926,3,9932,5257,14607,16,9,23,FR,France\n200925,3,7619,4026,11212,12,6,18,FR,France\n200924,3,7794,3409,12179,12,5,19,FR,France\n200923,3,4342,1975,6709,7,3,11,FR,France\n200922,3,6390,3020,9760,10,5,15,FR,France\n200921,3,7118,3704,10532,11,6,16,FR,France\n200920,3,9482,5804,13160,15,9,21,FR,France\n200919,3,7538,4299,10777,12,7,17,FR,France\n200918,3,9627,5121,14133,15,8,22,FR,France\n200917,3,9537,5267,13807,15,8,22,FR,France\n200916,3,14666,9218,20114,23,14,32,FR,France\n200915,3,17533,12137,22929,28,19,37,FR,France\n200914,3,26324,19150,33498,42,31,53,FR,France\n200913,3,27737,20781,34693,44,33,55,FR,France\n200912,3,38811,29935,47687,62,48,76,FR,France\n200911,3,40410,30705,50115,64,49,79,FR,France\n200910,3,53395,41943,64847,85,67,103,FR,France\n200909,3,70558,57400,83716,112,91,133,FR,France\n200908,3,109100,94840,123360,174,151,197,FR,France\n200907,3,141531,125101,157961,225,199,251,FR,France\n200906,3,276274,252759,299789,440,403,477,FR,France\n200905,3,401868,375032,428704,640,597,683,FR,France\n200904,3,545313,512892,577734,868,816,920,FR,France\n200903,3,520957,487271,554643,829,775,883,FR,France\n200902,3,287145,262869,311421,457,418,496,FR,France\n200901,3,200349,180878,219820,319,288,350,FR,France\n200852,3,198418,115769,281067,323,188,458,FR,France\n200851,3,112588,96656,128520,184,158,210,FR,France\n200850,3,51746,43319,60173,84,70,98,FR,France\n200849,3,34950,27527,42373,57,45,69,FR,France\n200848,3,25604,18563,32645,42,31,53,FR,France\n200847,3,18706,10838,26574,30,17,43,FR,France\n200846,3,10899,5461,16337,18,9,27,FR,France\n200845,3,12472,7082,17862,20,11,29,FR,France\n200844,3,9772,5661,13883,16,9,23,FR,France\n200843,3,9345,5541,13149,15,9,21,FR,France\n200842,3,9087,5572,12602,15,9,21,FR,France\n200841,3,9925,5637,14213,16,9,23,FR,France\n200840,3,7869,4535,11203,13,8,18,FR,France\n200839,3,2195,506,3884,4,1,7,FR,France\n200838,3,3679,1481,5877,6,2,10,FR,France\n200837,3,2429,561,4297,4,1,7,FR,France\n200836,3,2512,492,4532,4,1,7,FR,France\n200835,3,1901,0,4869,3,0,8,FR,France\n200834,3,2552,0,6509,4,0,10,FR,France\n200833,3,7229,0,16106,12,0,26,FR,France\n200832,3,4378,107,8649,7,0,14,FR,France\n200831,3,3972,621,7323,6,1,11,FR,France\n200830,3,3821,643,6999,6,1,11,FR,France\n200829,3,2055,0,4225,3,0,7,FR,France\n200828,3,3257,208,6306,5,0,10,FR,France\n200827,3,2862,474,5250,5,1,9,FR,France\n200826,3,897,0,2062,1,0,3,FR,France\n200825,3,2006,360,3652,3,0,6,FR,France\n200824,3,3217,823,5611,5,1,9,FR,France\n200823,3,2906,1006,4806,5,2,8,FR,France\n200822,3,1792,451,3133,3,1,5,FR,France\n200821,3,3642,925,6359,6,2,10,FR,France\n200820,3,6452,2790,10114,11,5,17,FR,France\n200819,3,5173,1485,8861,8,2,14,FR,France\n200818,3,5315,1770,8860,9,3,15,FR,France\n200817,3,10150,5835,14465,17,10,24,FR,France\n200816,3,11876,7054,16698,19,11,27,FR,France\n200815,3,22871,16253,29489,37,26,48,FR,France\n200814,3,45610,27907,63313,74,45,103,FR,France\n200813,3,38600,29300,47900,63,48,78,FR,France\n200812,3,53169,43299,63039,87,71,103,FR,France\n200811,3,62014,50430,73598,101,82,120,FR,France\n200810,3,90342,75729,104955,147,123,171,FR,France\n200809,3,119696,104205,135187,195,170,220,FR,France\n200808,3,198688,180749,216627,324,295,353,FR,France\n200807,3,286498,264535,308461,467,431,503,FR,France\n200806,3,377097,350714,403480,615,572,658,FR,France\n200805,3,344050,320436,367664,561,523,599,FR,France\n200804,3,290196,268193,312199,473,437,509,FR,France\n200803,3,260268,233385,287151,424,380,468,FR,France\n200802,3,160872,145311,176433,262,237,287,FR,France\n200801,3,102562,88547,116577,167,144,190,FR,France\n200752,3,86742,72295,101189,141,117,165,FR,France\n200751,3,61954,51764,72144,101,84,118,FR,France\n200750,3,45366,36923,53809,74,60,88,FR,France\n200749,3,38351,26177,50525,63,43,83,FR,France\n200748,3,48174,35418,60930,79,58,100,FR,France\n200747,3,30716,23351,38081,50,38,62,FR,France\n200746,3,18204,12267,24141,30,20,40,FR,France\n200745,3,15521,10195,20847,25,16,34,FR,France\n200744,3,13904,9072,18736,23,15,31,FR,France\n200743,3,16212,10778,21646,26,17,35,FR,France\n200742,3,20197,13955,26439,33,23,43,FR,France\n200741,3,12987,8464,17510,21,14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e\n199915,3,11535,6814,16256,20,12,28,FR,France\n199914,3,18730,13131,24329,32,22,42,FR,France\n199913,3,38453,29560,47346,66,51,81,FR,France\n199912,3,58090,48072,68108,99,82,116,FR,France\n199911,3,91329,78686,103972,156,134,178,FR,France\n199910,3,147976,131058,164894,253,224,282,FR,France\n199909,3,207450,188710,226190,355,323,387,FR,France\n199908,3,313293,292280,334306,536,500,572,FR,France\n199907,3,524136,496702,551570,896,849,943,FR,France\n199906,3,493908,466605,521211,844,797,891,FR,France\n199905,3,476884,449696,504072,815,769,861,FR,France\n199904,3,368514,345131,391897,630,590,670,FR,France\n199903,3,242388,224208,260568,414,383,445,FR,France\n199902,3,160657,145209,176105,275,249,301,FR,France\n199901,3,130133,115125,145141,222,196,248,FR,France\n199853,3,107611,92301,122921,185,159,211,FR,France\n199852,3,72373,61032,83714,124,105,143,FR,France\n199851,3,78179,67156,89202,134,115,153,FR,France\n199850,3,54775,45478,64072,94,78,110,FR,France\n199849,3,33385,26332,40438,57,45,69,FR,France\n199848,3,22636,16668,28604,39,29,49,FR,France\n199847,3,14505,9746,19264,25,17,33,FR,France\n199846,3,13804,9049,18559,24,16,32,FR,France\n199845,3,13021,8113,17929,22,14,30,FR,France\n199844,3,12631,7410,17852,22,13,31,FR,France\n199843,3,12180,7125,17235,21,12,30,FR,France\n199842,3,18885,12726,25044,32,21,43,FR,France\n199841,3,24196,17506,30886,42,31,53,FR,France\n199840,3,20235,14114,26356,35,25,45,FR,France\n199839,3,17075,11538,22612,29,20,38,FR,France\n199838,3,10837,6336,15338,19,11,27,FR,France\n199837,3,6968,3227,10709,12,6,18,FR,France\n199836,3,3033,580,5486,5,1,9,FR,France\n199835,3,2491,0,5022,4,0,8,FR,France\n199834,3,3853,589,7117,7,1,13,FR,France\n199833,3,2934,0,6598,5,0,11,FR,France\n199832,3,1308,0,2894,2,0,5,FR,France\n199831,3,12147,0,29237,21,0,50,FR,France\n199830,3,5309,1628,8990,9,3,15,FR,France\n199829,3,6486,2465,10507,11,4,18,FR,France\n199828,3,9577,4464,14690,16,7,25,FR,France\n199827,3,12358,7158,17558,21,12,30,FR,France\n199826,3,10415,6547,14283,18,11,25,FR,France\n199825,3,18246,13050,23442,31,22,40,FR,France\n199824,3,16263,11126,21400,28,19,37,FR,France\n199823,3,8553,4911,12195,15,9,21,FR,France\n199822,3,5181,2669,7693,9,5,13,FR,France\n199821,3,4751,2416,7086,8,4,12,FR,France\n199820,3,12129,8099,16159,21,14,28,FR,France\n199819,3,24118,17906,30330,41,30,52,FR,France\n199818,3,31612,24512,38712,54,42,66,FR,France\n199817,3,61148,51894,70402,105,89,121,FR,France\n199816,3,123195,109878,136512,211,188,234,FR,France\n199815,3,171603,156715,186491,294,268,320,FR,France\n199814,3,319092,298398,339786,547,512,582,FR,France\n199813,3,298212,278513,317911,512,478,546,FR,France\n199812,3,263585,246356,280814,452,422,482,FR,France\n199811,3,220578,204894,236262,378,351,405,FR,France\n199810,3,202354,186304,218404,347,319,375,FR,France\n199809,3,227553,209970,245136,390,360,420,FR,France\n199808,3,271362,252005,290719,465,432,498,FR,France\n199807,3,190187,173694,206680,326,298,354,FR,France\n199806,3,88217,76829,99605,151,131,171,FR,France\n199805,3,45180,36970,53390,77,63,91,FR,France\n199804,3,30005,23272,36738,51,39,63,FR,France\n199803,3,23900,18221,29579,41,31,51,FR,France\n199802,3,31143,23994,38292,53,41,65,FR,France\n199801,3,24809,17786,31832,43,31,55,FR,France\n199752,3,29039,21984,36094,50,38,62,FR,France\n199751,3,34924,27737,42111,60,48,72,FR,France\n199750,3,33527,26388,40666,58,46,70,FR,France\n199749,3,15978,11147,20809,27,19,35,FR,France\n199748,3,11507,7744,15270,20,14,26,FR,France\n199747,3,11059,7151,14967,19,12,26,FR,France\n199746,3,8073,4613,11533,14,8,20,FR,France\n199745,3,18202,13113,23291,31,22,40,FR,France\n199744,3,19770,14405,25135,34,25,43,FR,France\n199743,3,16707,11945,21469,29,21,37,FR,France\n199742,3,15340,10351,20329,26,17,35,FR,France\n199741,3,16933,11941,21925,29,20,38,FR,France\n199740,3,13292,8709,17875,23,15,31,FR,France\n199739,3,10189,6279,14099,18,11,25,FR,France\n199738,3,3231,1061,5401,6,2,10,FR,France\n199737,3,4542,1949,7135,8,4,12,FR,France\n199736,3,5131,2205,8057,9,4,14,FR,France\n199735,3,1842,0,3740,3,0,6,FR,France\n199734,3,3226,0,6717,6,0,12,FR,France\n199733,3,1799,0,4368,3,0,7,FR,France\n199732,3,2086,0,4411,4,0,8,FR,France\n199731,3,1386,0,3332,2,0,5,FR,France\n199730,3,2116,0,4919,4,0,9,FR,France\n199729,3,1973,0,4347,3,0,7,FR,France\n199728,3,1560,216,2904,3,1,5,FR,France\n199727,3,2540,754,4326,4,1,7,FR,France\n199726,3,5582,2699,8465,10,5,15,FR,France\n199725,3,4012,1090,6934,7,2,12,FR,France\n199724,3,4696,1824,7568,8,3,13,FR,France\n199723,3,4709,2136,7282,8,4,12,FR,France\n199722,3,2283,665,3901,4,1,7,FR,France\n199721,3,2108,664,3552,4,2,6,FR,France\n199720,3,3257,1519,4995,6,3,9,FR,France\n199719,3,4646,2436,6856,8,4,12,FR,France\n199718,3,5246,2764,7728,9,5,13,FR,France\n199717,3,14236,9906,18566,24,17,31,FR,France\n199716,3,12169,8111,16227,21,14,28,FR,France\n199715,3,9516,6192,12840,16,10,22,FR,France\n199714,3,13602,9659,17545,23,16,30,FR,France\n199713,3,18032,13345,22719,31,23,39,FR,France\n199712,3,17199,12707,21691,30,22,38,FR,France\n199711,3,19988,15419,24557,34,26,42,FR,France\n199710,3,21903,17338,26468,38,30,46,FR,France\n199709,3,29860,24261,35459,51,41,61,FR,France\n199708,3,55445,47857,63033,95,82,108,FR,France\n199707,3,70876,62518,79234,122,108,136,FR,France\n199706,3,76906,68152,85660,132,117,147,FR,France\n199705,3,95900,86095,105705,165,148,182,FR,France\n199704,3,96896,87079,106713,167,150,184,FR,France\n199703,3,143844,131917,155771,248,227,269,FR,France\n199702,3,211578,197395,225761,364,340,388,FR,France\n199701,3,280440,263783,297097,483,454,512,FR,France\n199652,3,388201,369211,407191,670,637,703,FR,France\n199651,3,640627,617388,663866,1106,1066,1146,FR,France\n199650,3,535205,514568,555842,924,888,960,FR,France\n199649,3,411498,393335,429661,710,679,741,FR,France\n199648,3,195568,182563,208573,338,316,360,FR,France\n199647,3,71980,63619,80341,124,110,138,FR,France\n199646,3,32138,26358,37918,55,45,65,FR,France\n199645,3,25551,20136,30966,44,35,53,FR,France\n199644,3,10753,7230,14276,19,13,25,FR,France\n199643,3,12971,9311,16631,22,16,28,FR,France\n199642,3,11929,8472,15386,21,15,27,FR,France\n199641,3,9918,6674,13162,17,11,23,FR,France\n199640,3,10765,7067,14463,19,13,25,FR,France\n199639,3,8377,5183,11571,14,8,20,FR,France\n199638,3,9470,5965,12975,16,10,22,FR,France\n199637,3,2925,829,5021,5,1,9,FR,France\n199636,3,1122,23,2221,2,0,4,FR,France\n199635,3,1674,93,3255,3,0,6,FR,France\n199634,3,1273,122,2424,2,0,4,FR,France\n199633,3,540,0,1246,1,0,2,FR,France\n199632,3,1453,176,2730,3,1,5,FR,France\n199631,3,3010,752,5268,5,1,9,FR,France\n199630,3,2992,706,5278,5,1,9,FR,France\n199629,3,1559,144,2974,3,1,5,FR,France\n199628,3,3109,541,5677,5,1,9,FR,France\n199627,3,4456,1595,7317,8,3,13,FR,France\n199626,3,2871,1138,4604,5,2,8,FR,France\n199625,3,2308,856,3760,4,1,7,FR,France\n199624,3,2490,1067,3913,4,2,6,FR,France\n199623,3,2819,1262,4376,5,2,8,FR,France\n199622,3,4005,1984,6026,7,4,10,FR,France\n199621,3,7042,4291,9793,12,7,17,FR,France\n199620,3,10619,7365,13873,18,12,24,FR,France\n199619,3,11898,8065,15731,21,14,28,FR,France\n199618,3,18338,13352,23324,32,23,41,FR,France\n199617,3,24954,19100,30808,43,33,53,FR,France\n199616,3,29313,23868,34758,51,42,60,FR,France\n199615,3,51703,43644,59762,89,75,103,FR,France\n199614,3,44414,36774,52054,77,64,90,FR,France\n199613,3,30622,25062,36182,53,43,63,FR,France\n199612,3,31818,25852,37784,55,45,65,FR,France\n199611,3,24427,19499,29355,42,33,51,FR,France\n199610,3,20910,16198,25622,36,28,44,FR,France\n199609,3,19594,15228,23960,34,26,42,FR,France\n199608,3,19046,14850,23242,33,26,40,FR,France\n199607,3,23041,18338,27744,40,32,48,FR,France\n199606,3,21810,17153,26467,38,30,46,FR,France\n199605,3,25275,20410,30140,44,36,52,FR,France\n199604,3,43359,36948,49770,75,64,86,FR,France\n199603,3,54691,48016,61366,94,82,106,FR,France\n199602,3,105606,96106,115106,182,166,198,FR,France\n199601,3,223830,209274,238386,386,361,411,FR,France\n199552,3,397122,378252,415992,688,655,721,FR,France\n199551,3,749988,725434,774542,1299,1256,1342,FR,France\n199550,3,604926,583100,626752,1047,1009,1085,FR,France\n199549,3,375500,358200,392800,650,620,680,FR,France\n199548,3,206446,193457,219435,357,335,379,FR,France\n199547,3,120472,110526,130418,209,192,226,FR,France\n199546,3,62380,55042,69718,108,95,121,FR,France\n199545,3,29791,24523,35059,52,43,61,FR,France\n199544,3,13168,9820,16516,23,17,29,FR,France\n199543,3,16188,12389,19987,28,21,35,FR,France\n199542,3,15178,11387,18969,26,19,33,FR,France\n199541,3,14980,10851,19109,26,19,33,FR,France\n199540,3,16245,11610,20880,28,20,36,FR,France\n199539,3,18499,13844,23154,32,24,40,FR,France\n199538,3,13123,9410,16836,23,17,29,FR,France\n199537,3,4895,2666,7124,8,4,12,FR,France\n199536,3,3659,1574,5744,6,2,10,FR,France\n199535,3,2496,644,4348,4,1,7,FR,France\n199534,3,1887,214,3560,3,0,6,FR,France\n199533,3,905,0,2007,2,0,4,FR,France\n199532,3,700,0,1699,1,0,3,FR,France\n199531,3,1946,92,3800,3,0,6,FR,France\n199530,3,1898,46,3750,3,0,6,FR,France\n199529,3,2148,687,3609,4,1,7,FR,France\n199528,3,3312,1430,5194,6,3,9,FR,France\n199527,3,4853,2683,7023,8,4,12,FR,France\n199526,3,4986,2911,7061,9,5,13,FR,France\n199525,3,4571,2520,6622,8,4,12,FR,France\n199524,3,8058,5054,11062,14,9,19,FR,France\n199523,3,13820,9801,17839,24,17,31,FR,France\n199522,3,14124,9999,18249,24,17,31,FR,France\n199521,3,11931,8655,15207,21,15,27,FR,France\n199520,3,18846,14311,23381,33,25,41,FR,France\n199519,3,26261,21488,31034,45,37,53,FR,France\n199518,3,39231,33258,45204,68,58,78,FR,France\n199517,3,88640,79343,97937,153,137,169,FR,France\n199516,3,140488,129439,151537,243,224,262,FR,France\n199515,3,181007,169110,192904,313,292,334,FR,France\n199514,3,248704,235144,262264,431,408,454,FR,France\n199513,3,209839,197191,222487,363,341,385,FR,France\n199512,3,122434,112497,132371,212,195,229,FR,France\n199511,3,81730,73346,90114,142,127,157,FR,France\n199510,3,49387,42703,56071,86,74,98,FR,France\n199509,3,39696,33259,46133,69,58,80,FR,France\n199508,3,38008,32225,43791,66,56,76,FR,France\n199507,3,30550,25479,35621,53,44,62,FR,France\n199506,3,37351,32007,42695,65,56,74,FR,France\n199505,3,27876,23218,32534,48,40,56,FR,France\n199504,3,27643,22818,32468,48,40,56,FR,France\n199503,3,24844,20391,29297,43,35,51,FR,France\n199502,3,23480,19249,27711,41,34,48,FR,France\n199501,3,26556,21916,31196,46,38,54,FR,France\n199452,3,22036,17495,26577,38,30,46,FR,France\n199451,3,26912,21750,32074,47,38,56,FR,France\n199450,3,28831,23470,34192,50,41,59,FR,France\n199449,3,21161,16559,25763,37,29,45,FR,France\n199448,3,18487,14456,22518,32,25,39,FR,France\n199447,3,15206,11578,18834,26,20,32,FR,France\n199446,3,14252,10525,17979,25,19,31,FR,France\n199445,3,12152,8448,15856,21,15,27,FR,France\n199444,3,11307,7688,14926,20,14,26,FR,France\n199443,3,11254,8002,14506,20,14,26,FR,France\n199442,3,14406,10653,18159,25,18,32,FR,France\n199441,3,14073,10341,17805,24,18,30,FR,France\n199440,3,15962,11850,20074,28,21,35,FR,France\n199439,3,15878,11643,20113,28,21,35,FR,France\n199438,3,15366,11100,19632,27,20,34,FR,France\n199437,3,5949,3561,8337,10,6,14,FR,France\n199436,3,2806,1133,4479,5,2,8,FR,France\n199435,3,4556,2358,6754,8,4,12,FR,France\n199434,3,3459,1444,5474,6,2,10,FR,France\n199433,3,4272,977,7567,7,1,13,FR,France\n199432,3,4786,1613,7959,8,2,14,FR,France\n199431,3,5027,1580,8474,9,3,15,FR,France\n199430,3,2100,520,3680,4,1,7,FR,France\n199429,3,1188,0,2384,2,0,4,FR,France\n199428,3,1581,316,2846,3,1,5,FR,France\n199427,3,713,0,1459,1,0,2,FR,France\n199426,3,990,80,1900,2,0,4,FR,France\n199425,3,5431,3222,7640,9,5,13,FR,France\n199424,3,6288,3723,8853,11,7,15,FR,France\n199423,3,6440,1052,11828,11,2,20,FR,France\n199422,3,845,0,2449,1,0,4,FR,France\n199421,3,2197,395,3999,4,1,7,FR,France\n199420,3,2217,852,3582,4,2,6,FR,France\n199419,3,1483,406,2560,3,1,5,FR,France\n199418,3,3705,1940,5470,6,3,9,FR,France\n199417,3,2288,1064,3512,4,2,6,FR,France\n199416,3,5156,3176,7136,9,6,12,FR,France\n199415,3,6952,4678,9226,12,8,16,FR,France\n199414,3,4671,2784,6558,8,5,11,FR,France\n199413,3,3343,1641,5045,6,3,9,FR,France\n199412,3,4305,2412,6198,7,4,10,FR,France\n199411,3,5399,3327,7471,9,5,13,FR,France\n199410,3,4548,2529,6567,8,4,12,FR,France\n199409,3,5635,3251,8019,10,6,14,FR,France\n199408,3,9539,6652,12426,17,12,22,FR,France\n199407,3,14639,11188,18090,25,19,31,FR,France\n199406,3,17308,13395,21221,30,23,37,FR,France\n199405,3,18489,14290,22688,32,25,39,FR,France\n199404,3,23712,19048,28376,41,33,49,FR,France\n199403,3,29882,24817,34947,52,43,61,FR,France\n199402,3,47402,41415,53389,82,72,92,FR,France\n199401,3,118119,108182,128056,205,188,222,FR,France\n199352,3,233137,218608,247666,406,381,431,FR,France\n199351,3,377472,359792,395152,658,627,689,FR,France\n199350,3,627639,607097,648181,1094,1058,1130,FR,France\n199349,3,898045,873419,922671,1565,1522,1608,FR,France\n199348,3,527582,507752,547412,920,885,955,FR,France\n199347,3,241371,226769,255973,421,396,446,FR,France\n199346,3,76034,68003,84065,133,119,147,FR,France\n199345,3,32289,27022,37556,56,47,65,FR,France\n199344,3,17832,14015,21649,31,24,38,FR,France\n199343,3,15098,11333,18863,26,19,33,FR,France\n199342,3,19187,14893,23481,33,26,40,FR,France\n199341,3,18285,14384,22186,32,25,39,FR,France\n199340,3,13805,10348,17262,24,18,30,FR,France\n199339,3,14783,11173,18393,26,20,32,FR,France\n199338,3,10492,7329,13655,18,12,24,FR,France\n199337,3,7023,4503,9543,12,8,16,FR,France\n199336,3,4361,2445,6277,8,5,11,FR,France\n199335,3,5589,3066,8112,10,6,14,FR,France\n199334,3,2984,1209,4759,5,2,8,FR,France\n199333,3,3217,758,5676,6,2,10,FR,France\n199332,3,3755,1051,6459,7,2,12,FR,France\n199331,3,4163,1768,6558,7,3,11,FR,France\n199330,3,4055,1907,6203,7,3,11,FR,France\n199329,3,3714,1668,5760,6,2,10,FR,France\n199328,3,1774,484,3064,3,1,5,FR,France\n199327,3,2574,918,4230,4,1,7,FR,France\n199326,3,3048,1450,4646,5,2,8,FR,France\n199325,3,8348,5260,11436,15,10,20,FR,France\n199324,3,6624,3747,9501,12,7,17,FR,France\n199323,3,7424,4302,10546,13,8,18,FR,France\n199322,3,3432,1849,5015,6,3,9,FR,France\n199321,3,5942,3670,8214,10,6,14,FR,France\n199320,3,5137,3157,7117,9,6,12,FR,France\n199319,3,4593,2725,6461,8,5,11,FR,France\n199318,3,5027,3075,6979,9,6,12,FR,France\n199317,3,8111,5138,11084,14,9,19,FR,France\n199316,3,24932,19468,30396,43,33,53,FR,France\n199315,3,22181,17147,27215,39,30,48,FR,France\n199314,3,38266,30865,45667,67,54,80,FR,France\n199313,3,62987,54506,71468,110,95,125,FR,France\n199312,3,63493,55956,71030,111,98,124,FR,France\n199311,3,80548,72628,88468,140,126,154,FR,France\n199310,3,127910,117688,138132,223,205,241,FR,France\n199309,3,184150,171378,196922,321,299,343,FR,France\n199308,3,222932,209051,236813,389,365,413,FR,France\n199307,3,248494,234936,262052,433,409,457,FR,France\n199306,3,286939,271830,302048,500,474,526,FR,France\n199305,3,255890,241516,270264,446,421,471,FR,France\n199304,3,193107,181261,204953,337,316,358,FR,France\n199303,3,147854,137256,158452,258,240,276,FR,France\n199302,3,90269,82164,98374,157,143,171,FR,France\n199301,3,75288,67244,83332,131,117,145,FR,France\n199253,3,56622,49107,64137,99,86,112,FR,France\n199252,3,49588,42568,56608,87,75,99,FR,France\n199251,3,41156,35024,47288,72,61,83,FR,France\n199250,3,40100,34699,45501,70,61,79,FR,France\n199249,3,39146,33847,44445,69,60,78,FR,France\n199248,3,32392,27499,37285,57,48,66,FR,France\n199247,3,26276,21797,30755,46,38,54,FR,France\n199246,3,22758,18462,27054,40,32,48,FR,France\n199245,3,22023,17804,26242,39,32,46,FR,France\n199244,3,27619,22945,32293,48,40,56,FR,France\n199243,3,24969,20704,29234,44,37,51,FR,France\n199242,3,29980,25261,34699,52,44,60,FR,France\n199241,3,24091,19953,28229,42,35,49,FR,France\n199240,3,17593,13885,21301,31,25,37,FR,France\n199239,3,13535,10301,16769,24,18,30,FR,France\n199238,3,9837,7106,12568,17,12,22,FR,France\n199237,3,7480,5130,9830,13,9,17,FR,France\n199236,3,5155,2958,7352,9,5,13,FR,France\n199235,3,6383,3687,9079,11,6,16,FR,France\n199234,3,2953,922,4984,5,1,9,FR,France\n199233,3,4046,1549,6543,7,3,11,FR,France\n199232,3,4963,2215,7711,9,4,14,FR,France\n199231,3,4233,1733,6733,7,3,11,FR,France\n199230,3,3091,1145,5037,5,2,8,FR,France\n199229,3,3586,1583,5589,6,2,10,FR,France\n199228,3,4179,2133,6225,7,3,11,FR,France\n199227,3,5568,3134,8002,10,6,14,FR,France\n199226,3,5886,3229,8543,10,5,15,FR,France\n199225,3,5304,2805,7803,9,5,13,FR,France\n199224,3,5928,3482,8374,10,6,14,FR,France\n199223,3,3914,1855,5973,7,3,11,FR,France\n199222,3,4899,2641,7157,9,5,13,FR,France\n199221,3,5059,2889,7229,9,5,13,FR,France\n199220,3,4308,2226,6390,8,4,12,FR,France\n199219,3,2982,1181,4783,5,2,8,FR,France\n199218,3,3887,1777,5997,7,3,11,FR,France\n199217,3,3614,1216,6012,6,2,10,FR,France\n199216,3,5460,2934,7986,10,6,14,FR,France\n199215,3,8642,5029,12255,15,9,21,FR,France\n199214,3,11346,7536,15156,20,13,27,FR,France\n199213,3,11693,8096,15290,20,14,26,FR,France\n199212,3,11752,7834,15670,21,14,28,FR,France\n199211,3,11689,7575,15803,20,13,27,FR,France\n199210,3,19224,12971,25477,34,23,45,FR,France\n199209,3,26629,20275,32983,47,36,58,FR,France\n199208,3,37667,30887,44447,66,54,78,FR,France\n199207,3,57312,48777,65847,100,85,115,FR,France\n199206,3,112450,99989,124911,197,175,219,FR,France\n199205,3,165474,151342,179606,290,265,315,FR,France\n199204,3,147959,133595,162323,259,234,284,FR,France\n199203,3,137893,122944,152842,241,215,267,FR,France\n199202,3,185852,166558,205146,325,291,359,FR,France\n199201,3,247688,222574,272802,434,390,478,FR,France\n199152,3,349815,325499,374131,615,572,658,FR,France\n199151,3,378413,355928,400898,666,626,706,FR,France\n199150,3,198721,182878,214564,350,322,378,FR,France\n199149,3,93903,82992,104814,165,146,184,FR,France\n199148,3,45173,37384,52962,79,65,93,FR,France\n199147,3,35691,28224,43158,63,50,76,FR,France\n199146,3,23685,17531,29839,42,31,53,FR,France\n199145,3,19565,13551,25579,34,23,45,FR,France\n199144,3,21571,15477,27665,38,27,49,FR,France\n199143,3,28842,21958,35726,51,39,63,FR,France\n199142,3,27483,20385,34581,48,36,60,FR,France\n199141,3,28185,20655,35715,50,37,63,FR,France\n199140,3,26740,16049,37431,47,28,66,FR,France\n199139,3,14373,8734,20012,25,15,35,FR,France\n199138,3,7460,3700,11220,13,6,20,FR,France\n199137,3,2429,434,4424,4,0,8,FR,France\n199136,3,2380,0,4882,4,0,8,FR,France\n199135,3,2372,0,5025,4,0,9,FR,France\n199134,3,2099,0,5104,4,0,9,FR,France\n199133,3,1654,0,4102,3,0,7,FR,France\n199132,3,625,0,2190,1,0,4,FR,France\n199131,3,2464,0,5830,4,0,10,FR,France\n199130,3,2382,0,6857,4,0,12,FR,France\n199129,3,3837,40,7634,7,0,14,FR,France\n199128,3,3297,152,6442,6,0,12,FR,France\n199127,3,3164,934,5394,6,2,10,FR,France\n199126,3,6376,3324,9428,11,6,16,FR,France\n199125,3,8218,4776,11660,14,8,20,FR,France\n199124,3,8223,4660,11786,14,8,20,FR,France\n199123,3,6801,3596,10006,12,6,18,FR,France\n199122,3,6050,2682,9418,11,5,17,FR,France\n199121,3,6391,3385,9397,11,6,16,FR,France\n199120,3,8633,4683,12583,15,8,22,FR,France\n199119,3,7785,3986,11584,14,7,21,FR,France\n199118,3,10856,6457,15255,19,11,27,FR,France\n199117,3,15603,10950,20256,27,19,35,FR,France\n199116,3,15665,11184,20146,28,20,36,FR,France\n199115,3,15062,10715,19409,26,18,34,FR,France\n199114,3,27862,21583,34141,49,38,60,FR,France\n199113,3,32179,25829,38529,57,46,68,FR,France\n199112,3,27873,22312,33434,49,39,59,FR,France\n199111,3,46186,38876,53496,81,68,94,FR,France\n199110,3,88750,77784,99716,156,137,175,FR,France\n199109,3,139093,124326,153860,245,219,271,FR,France\n199108,3,216369,198630,234108,381,350,412,FR,France\n199107,3,208836,191789,225883,367,337,397,FR,France\n199106,3,134737,121280,148194,237,213,261,FR,France\n199105,3,73564,62716,84412,129,110,148,FR,France\n199104,3,48253,39031,57475,85,69,101,FR,France\n199103,3,29382,22258,36506,52,39,65,FR,France\n199102,3,29759,22044,37474,52,38,66,FR,France\n199101,3,42927,33706,52148,76,60,92,FR,France\n199052,3,41262,31607,50917,73,56,90,FR,France\n199051,3,46924,37544,56304,83,66,100,FR,France\n199050,3,44125,36137,52113,78,64,92,FR,France\n199049,3,38379,30603,46155,68,54,82,FR,France\n199048,3,29571,22315,36827,52,39,65,FR,France\n199047,3,23358,15890,30826,41,28,54,FR,France\n199046,3,20246,7930,32562,36,14,58,FR,France\n199045,3,17571,11591,23551,31,20,42,FR,France\n199044,3,16182,10305,22059,29,19,39,FR,France\n199043,3,17579,11588,23570,31,20,42,FR,France\n199042,3,13011,7875,18147,23,14,32,FR,France\n199041,3,19723,13330,26116,35,24,46,FR,France\n199040,3,20433,14614,26252,36,26,46,FR,France\n199039,3,15618,10315,20921,28,19,37,FR,France\n199038,3,11146,6197,16095,20,11,29,FR,France\n199037,3,4051,1022,7080,7,2,12,FR,France\n199036,3,2542,124,4960,4,0,8,FR,France\n199035,3,934,0,2681,2,0,5,FR,France\n199034,3,201,0,595,0,0,1,FR,France\n199033,3,0,0,0,0,0,0,FR,France\n199032,3,1399,0,3849,2,0,6,FR,France\n199031,3,881,0,2206,2,0,4,FR,France\n199030,3,425,0,1262,1,0,2,FR,France\n199029,3,1077,0,2643,2,0,5,FR,France\n199028,3,959,0,2252,2,0,4,FR,France\n199027,3,2948,793,5103,5,1,9,FR,France\n199026,3,7236,2651,11821,13,5,21,FR,France\n199025,3,7879,3136,12622,14,6,22,FR,France\n199024,3,5727,2460,8994,10,4,16,FR,France\n199023,3,3655,1043,6267,6,1,11,FR,France\n199022,3,4196,1292,7100,7,2,12,FR,France\n199021,3,1004,0,2367,2,0,4,FR,France\n199020,3,4506,1771,7241,8,3,13,FR,France\n199019,3,5897,2440,9354,10,4,16,FR,France\n199018,3,1738,141,3335,3,0,6,FR,France\n199017,3,5278,2197,8359,9,4,14,FR,France\n199016,3,8129,3754,12504,14,6,22,FR,France\n199015,3,11707,5831,17583,21,11,31,FR,France\n199014,3,12862,8177,17547,23,15,31,FR,France\n199013,3,21879,15088,28670,39,27,51,FR,France\n199012,3,17035,11135,22935,30,20,40,FR,France\n199011,3,20018,14311,25725,35,25,45,FR,France\n199010,3,16294,11045,21543,29,20,38,FR,France\n199009,3,21793,15460,28126,39,28,50,FR,France\n199008,3,26110,19342,32878,46,34,58,FR,France\n199007,3,61742,49720,73764,109,88,130,FR,France\n199006,3,399984,353345,446623,707,625,789,FR,France\n199005,3,161765,146354,177176,286,259,313,FR,France\n199004,3,287771,267698,307844,509,474,544,FR,France\n199003,3,315466,296550,334382,558,525,591,FR,France\n199002,3,345060,326087,364033,610,576,644,FR,France\n199001,3,483600,460913,506287,855,815,895,FR,France\n198952,3,581149,556023,606275,1035,990,1080,FR,France\n198951,3,821540,793846,849234,1463,1414,1512,FR,France\n198950,3,749283,723633,774933,1334,1288,1380,FR,France\n198949,3,358043,340053,376033,638,606,670,FR,France\n198948,3,119087,108253,129921,212,193,231,FR,France\n198947,3,40963,33897,48029,73,60,86,FR,France\n198946,3,23547,17952,29142,42,32,52,FR,France\n198945,3,22711,16999,28423,40,30,50,FR,France\n198944,3,23405,17475,29335,42,31,53,FR,France\n198943,3,29549,23287,35811,53,42,64,FR,France\n198942,3,39410,32172,46648,70,57,83,FR,France\n198941,3,43763,35245,52281,78,63,93,FR,France\n198940,3,31453,24288,38618,56,43,69,FR,France\n198939,3,24622,18425,30819,44,33,55,FR,France\n198938,3,18296,13483,23109,33,24,42,FR,France\n198937,3,12022,8082,15962,21,14,28,FR,France\n198936,3,4769,2299,7239,8,4,12,FR,France\n198935,3,4661,1696,7626,8,3,13,FR,France\n198934,3,6039,2185,9893,11,4,18,FR,France\n198933,3,7940,3858,12022,14,7,21,FR,France\n198932,3,7114,2361,11867,13,5,21,FR,France\n198931,3,2721,0,5478,5,0,10,FR,France\n198930,3,3168,561,5775,6,1,11,FR,France\n198929,3,3909,1504,6314,7,3,11,FR,France\n198928,3,1284,105,2463,2,0,4,FR,France\n198927,3,3641,1350,5932,6,2,10,FR,France\n198926,3,5753,2885,8621,10,5,15,FR,France\n198925,3,6299,3454,9144,11,6,16,FR,France\n198924,3,6337,3537,9137,11,6,16,FR,France\n198923,3,11779,7984,15574,21,14,28,FR,France\n198922,3,9104,4764,13444,16,8,24,FR,France\n198921,3,9554,4316,14792,17,8,26,FR,France\n198920,3,6093,1023,11163,11,2,20,FR,France\n198919,3,0,,,0,,,FR,France\n198918,3,13452,1365,25539,24,2,46,FR,France\n198917,3,10949,7147,14751,19,12,26,FR,France\n198916,3,10908,7494,14322,19,13,25,FR,France\n198915,3,9667,6209,13125,17,11,23,FR,France\n198914,3,15230,10469,19991,27,19,35,FR,France\n198913,3,10564,6767,14361,19,12,26,FR,France\n198912,3,13419,9542,17296,24,17,31,FR,France\n198911,3,16633,12140,21126,30,22,38,FR,France\n198910,3,12387,8750,16024,22,16,28,FR,France\n198909,3,12895,9183,16607,23,16,30,FR,France\n198908,3,19746,15258,24234,35,27,43,FR,France\n198907,3,27277,21760,32794,49,39,59,FR,France\n198906,3,47844,40320,55368,85,72,98,FR,France\n198905,3,52840,45665,60015,94,81,107,FR,France\n198904,3,54942,47750,62134,98,85,111,FR,France\n198903,3,66010,58065,73955,118,104,132,FR,France\n198902,3,112284,102003,122565,200,182,218,FR,France\n198901,3,202266,188305,216227,360,335,385,FR,France\n198852,3,467971,447033,488909,837,800,874,FR,France\n198851,3,872748,846468,899028,1562,1515,1609,FR,France\n198850,3,1001824,974799,1028849,1793,1745,1841,FR,France\n198849,3,966523,940068,992978,1729,1682,1776,FR,France\n198848,3,637811,614785,660837,1141,1100,1182,FR,France\n198847,3,246062,231234,260890,440,413,467,FR,France\n198846,3,92484,83160,101808,165,148,182,FR,France\n198845,3,53940,46148,61732,97,83,111,FR,France\n198844,3,42106,35336,48876,75,63,87,FR,France\n198843,3,38252,31909,44595,68,57,79,FR,France\n198842,3,45495,38467,52523,81,68,94,FR,France\n198841,3,46336,39344,53328,83,70,96,FR,France\n198840,3,39882,33507,46257,71,60,82,FR,France\n198839,3,43730,36755,50705,78,66,90,FR,France\n198838,3,35243,29367,41119,63,52,74,FR,France\n198837,3,15537,11911,19163,28,22,34,FR,France\n198836,3,7539,4840,10238,13,8,18,FR,France\n198835,3,7797,4762,10832,14,9,19,FR,France\n198834,3,4950,2005,7895,9,4,14,FR,France\n198833,3,7937,3861,12013,14,7,21,FR,France\n198832,3,7033,2595,11471,13,5,21,FR,France\n198831,3,8758,3591,13925,16,7,25,FR,France\n198830,3,4205,1224,7186,8,3,13,FR,France\n198829,3,6103,1013,11193,11,2,20,FR,France\n198828,3,8562,3483,13641,15,6,24,FR,France\n198827,3,4690,2196,7184,8,4,12,FR,France\n198826,3,7065,3905,10225,13,7,19,FR,France\n198825,3,7657,4664,10650,14,9,19,FR,France\n198824,3,6676,3978,9374,12,7,17,FR,France\n198823,3,8695,5755,11635,16,11,21,FR,France\n198822,3,11566,8282,14850,21,15,27,FR,France\n198821,3,11107,7742,14472,20,14,26,FR,France\n198820,3,14118,10223,18013,25,18,32,FR,France\n198819,3,18260,13847,22673,33,25,41,FR,France\n198818,3,20415,16281,24549,37,30,44,FR,France\n198817,3,21750,17436,26064,39,31,47,FR,France\n198816,3,33730,27496,39964,60,49,71,FR,France\n198815,3,70616,61754,79478,126,110,142,FR,France\n198814,3,123868,113211,134525,222,203,241,FR,France\n198813,3,193710,181519,205901,347,325,369,FR,France\n198812,3,283445,268834,298056,507,481,533,FR,France\n198811,3,316175,300858,331492,566,539,593,FR,France\n198810,3,235142,222004,248280,421,397,445,FR,France\n198809,3,135564,125263,145865,243,225,261,FR,France\n198808,3,87753,78449,97057,157,140,174,FR,France\n198807,3,77099,68423,85775,138,122,154,FR,France\n198806,3,69349,61502,77196,124,110,138,FR,France\n198805,3,72705,64952,80458,130,116,144,FR,France\n198804,3,72818,64944,80692,130,116,144,FR,France\n198803,3,68869,60922,76816,123,109,137,FR,France\n198802,3,59743,51907,67579,107,93,121,FR,France\n198801,3,60929,52573,69285,109,94,124,FR,France\n198753,3,47257,38170,56344,85,69,101,FR,France\n198752,3,11935,2353,21517,21,4,38,FR,France\n198751,3,47744,34266,61222,86,62,110,FR,France\n198750,3,57767,50181,65353,104,90,118,FR,France\n198749,3,49380,42461,56299,89,77,101,FR,France\n198748,3,41871,35115,48627,75,63,87,FR,France\n198747,3,29688,23465,35911,53,42,64,FR,France\n198746,3,37216,30199,44233,67,54,80,FR,France\n198745,3,35456,29024,41888,64,52,76,FR,France\n198744,3,41024,33829,48219,74,61,87,FR,France\n198743,3,46356,38370,54342,83,69,97,FR,France\n198742,3,38021,30236,45806,68,54,82,FR,France\n198741,3,42021,32016,52026,76,58,94,FR,France\n198740,3,24641,15930,33352,44,28,60,FR,France\n198739,3,32328,23548,41108,58,42,74,FR,France\n198738,3,16782,11870,21694,30,21,39,FR,France\n198737,3,11208,6542,15874,20,12,28,FR,France\n198736,3,7906,4014,11798,14,7,21,FR,France\n198735,3,6149,2970,9328,11,5,17,FR,France\n198734,3,6631,2734,10528,12,5,19,FR,France\n198733,3,6404,1834,10974,12,4,20,FR,France\n198732,3,7215,2353,12077,13,4,22,FR,France\n198731,3,8233,3655,12811,15,7,23,FR,France\n198730,3,4642,1301,7983,8,2,14,FR,France\n198729,3,4389,913,7865,8,2,14,FR,France\n198728,3,2702,138,5266,5,0,10,FR,France\n198727,3,10171,5904,14438,18,10,26,FR,France\n198726,3,12341,7824,16858,22,14,30,FR,France\n198725,3,23413,15490,31336,42,28,56,FR,France\n198724,3,11289,7282,15296,20,13,27,FR,France\n198723,3,15857,10943,20771,29,20,38,FR,France\n198722,3,14887,9743,20031,27,18,36,FR,France\n198721,3,17619,12649,22589,32,23,41,FR,France\n198720,3,10344,6454,14234,19,12,26,FR,France\n198719,3,12539,7943,17135,23,15,31,FR,France\n198718,3,16095,10330,21860,29,19,39,FR,France\n198717,3,21256,14850,27662,38,26,50,FR,France\n198716,3,32416,25100,39732,58,45,71,FR,France\n198715,3,44292,36456,52128,80,66,94,FR,France\n198714,3,50642,41866,59418,91,75,107,FR,France\n198713,3,62246,52749,71743,112,95,129,FR,France\n198712,3,59625,50653,68597,107,91,123,FR,France\n198711,3,53561,45035,62087,96,81,111,FR,France\n198710,3,93067,80519,105615,167,144,190,FR,France\n198709,3,147006,133519,160493,264,240,288,FR,France\n198708,3,217779,202179,233379,391,363,419,FR,France\n198707,3,288180,270718,305642,518,487,549,FR,France\n198706,3,296702,279051,314353,533,501,565,FR,France\n198705,3,236046,219483,252609,424,394,454,FR,France\n198704,3,158333,143625,173041,285,259,311,FR,France\n198703,3,103841,91699,115983,187,165,209,FR,France\n198702,3,74213,64014,84412,133,115,151,FR,France\n198701,3,69745,59207,80283,125,106,144,FR,France\n198652,3,76263,64958,87568,138,118,158,FR,France\n198651,3,72920,63047,82793,132,114,150,FR,France\n198650,3,73413,64019,82807,133,116,150,FR,France\n198649,3,56296,48229,64363,102,87,117,FR,France\n198648,3,46031,38578,53484,83,70,96,FR,France\n198647,3,36740,29710,43770,66,53,79,FR,France\n198646,3,32134,25327,38941,58,46,70,FR,France\n198645,3,38964,31382,46546,70,56,84,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rance\n198445,3,135223,101414,169032,246,184,308,FR,France\n198444,3,68422,20056,116788,125,37,213,FR,France\n'
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module3/data_8.csv 0 → 100644
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@date=2022-06-04T12:28:03+02:00\nweek,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name\n202221,3,17538,12255,22821,26,18,34,FR,France\n202220,3,20413,16271,24555,31,25,37,FR,France\n202219,3,17874,14068,21680,27,21,33,FR,France\n202218,3,30353,25089,35617,46,38,54,FR,France\n202217,3,36006,30373,41639,54,46,62,FR,France\n202216,3,49949,42836,57062,75,64,86,FR,France\n202215,3,100806,90824,110788,152,137,167,FR,France\n202214,3,155441,143891,166991,234,217,251,FR,France\n202213,3,191914,179558,204270,289,270,308,FR,France\n202212,3,166224,155035,177413,251,234,268,FR,France\n202211,3,122849,113306,132392,185,171,199,FR,France\n202210,3,87904,79741,96067,133,121,145,FR,France\n202209,3,50182,43958,56406,76,67,85,FR,France\n202208,3,30963,25942,35984,47,39,55,FR,France\n202207,3,34882,29446,40318,53,45,61,FR,France\n202206,3,46623,40398,52848,70,61,79,FR,France\n202205,3,62970,56043,69897,95,85,105,FR,France\n202204,3,72209,64804,79614,109,98,120,FR,France\n202203,3,74613,67144,82082,113,102,124,FR,France\n202202,3,55920,49511,62329,84,74,94,FR,France\n202201,3,57629,50699,64559,87,77,97,FR,France\n202152,3,54349,47029,61669,82,71,93,FR,France\n202151,3,41698,35359,48037,63,53,73,FR,France\n202150,3,38117,32497,43737,58,49,67,FR,France\n202149,3,40168,34716,45620,61,53,69,FR,France\n202148,3,41842,36364,47320,63,55,71,FR,France\n202147,3,36598,31338,41858,55,47,63,FR,France\n202146,3,30059,25302,34816,46,39,53,FR,France\n202145,3,20364,16564,24164,31,25,37,FR,France\n202144,3,18999,15042,22956,29,23,35,FR,France\n202143,3,27040,21935,32145,41,33,49,FR,France\n202142,3,28343,23382,33304,43,35,51,FR,France\n202141,3,25043,20586,29500,38,31,45,FR,France\n202140,3,26286,21842,30730,40,33,47,FR,France\n202139,3,22155,18014,26296,34,28,40,FR,France\n202138,3,15614,12310,18918,24,19,29,FR,France\n202137,3,13673,10404,16942,21,16,26,FR,France\n202136,3,10289,7505,13073,16,12,20,FR,France\n202135,3,12609,9282,15936,19,14,24,FR,France\n202134,3,13081,9540,16622,20,15,25,FR,France\n202133,3,10392,7042,13742,16,11,21,FR,France\n202132,3,15586,11009,20163,24,17,31,FR,France\n202131,3,18855,13664,24046,29,21,37,FR,France\n202130,3,13991,9695,18287,21,14,28,FR,France\n202129,3,13626,9618,17634,21,15,27,FR,France\n202128,3,8636,5430,11842,13,8,18,FR,France\n202127,3,10693,6838,14548,16,10,22,FR,France\n202126,3,7086,4109,10063,11,6,16,FR,France\n202125,3,7942,5540,10344,12,8,16,FR,France\n202124,3,4855,3011,6699,7,4,10,FR,France\n202123,3,6710,4455,8965,10,7,13,FR,France\n202122,3,7879,5495,10263,12,8,16,FR,France\n202121,3,7827,5403,10251,12,8,16,FR,France\n202120,3,10278,7540,13016,16,12,20,FR,France\n202119,3,9539,6860,12218,14,10,18,FR,France\n202118,3,12135,9165,15105,18,14,22,FR,France\n202117,3,12058,8891,15225,18,13,23,FR,France\n202116,3,16505,12735,20275,25,19,31,FR,France\n202115,3,19306,15398,23214,29,23,35,FR,France\n202114,3,21073,17099,25047,32,26,38,FR,France\n202113,3,26413,22094,30732,40,33,47,FR,France\n202112,3,30658,25919,35397,46,39,53,FR,France\n202111,3,24988,20718,29258,38,32,44,FR,France\n202110,3,19539,15951,23127,30,25,35,FR,France\n202109,3,17572,13926,21218,27,21,33,FR,France\n202108,3,20882,16907,24857,32,26,38,FR,France\n202107,3,22393,18303,26483,34,28,40,FR,France\n202106,3,23183,19134,27232,35,29,41,FR,France\n202105,3,22426,18445,26407,34,28,40,FR,France\n202104,3,25804,21491,30117,39,32,46,FR,France\n202103,3,21810,17894,25726,33,27,39,FR,France\n202102,3,17320,13906,20734,26,21,31,FR,France\n202101,3,21799,17778,25820,33,27,39,FR,France\n202053,3,21220,16498,25942,32,25,39,FR,France\n202052,3,16428,12285,20571,25,19,31,FR,France\n202051,3,21619,17370,25868,33,27,39,FR,France\n202050,3,16845,13220,20470,26,20,32,FR,France\n202049,3,12939,9923,15955,20,15,25,FR,France\n202048,3,13804,10641,16967,21,16,26,FR,France\n202047,3,19085,15285,22885,29,23,35,FR,France\n202046,3,24801,20503,29099,38,31,45,FR,France\n202045,3,42516,36857,48175,65,56,74,FR,France\n202044,3,44567,38521,50613,68,59,77,FR,France\n202043,3,43799,37581,50017,67,58,76,FR,France\n202042,3,35183,29847,40519,53,45,61,FR,France\n202041,3,27926,23251,32601,42,35,49,FR,France\n202040,3,20443,16381,24505,31,25,37,FR,France\n202039,3,19810,15900,23720,30,24,36,FR,France\n202038,3,25559,21141,29977,39,32,46,FR,France\n202037,3,18485,14649,22321,28,22,34,FR,France\n202036,3,10390,7646,13134,16,12,20,FR,France\n202035,3,9918,6842,12994,15,10,20,FR,France\n202034,3,6084,3090,9078,9,4,14,FR,France\n202033,3,6106,3411,8801,9,5,13,FR,France\n202032,3,5918,3330,8506,9,5,13,FR,France\n202031,3,4351,2269,6433,7,4,10,FR,France\n202030,3,8179,5442,10916,12,8,16,FR,France\n202029,3,8687,5860,11514,13,9,17,FR,France\n202028,3,8325,5688,10962,13,9,17,FR,France\n202027,3,4066,2406,5726,6,3,9,FR,France\n202026,3,4039,2389,5689,6,3,9,FR,France\n202025,3,2853,1488,4218,4,2,6,FR,France\n202024,3,3058,1690,4426,5,3,7,FR,France\n202023,3,4168,2468,5868,6,3,9,FR,France\n202022,3,3580,1947,5213,5,3,7,FR,France\n202021,3,6114,4026,8202,9,6,12,FR,France\n202020,3,9315,6775,11855,14,10,18,FR,France\n202019,3,11679,8722,14636,18,14,22,FR,France\n202018,3,16398,12851,19945,25,20,30,FR,France\n202017,3,18082,14454,21710,27,21,33,FR,France\n202016,3,24165,19893,28437,37,31,43,FR,France\n202015,3,41049,35377,46721,62,53,71,FR,France\n202014,3,71666,64531,78801,109,98,120,FR,France\n202013,3,107742,99187,116297,164,151,177,FR,France\n202012,3,107283,98610,115956,163,150,176,FR,France\n202011,3,112943,104468,121418,172,159,185,FR,France\n202010,3,105145,96812,113478,160,147,173,FR,France\n202009,3,110696,102066,119326,168,155,181,FR,France\n202008,3,143753,133984,153522,218,203,233,FR,France\n202007,3,183610,172812,194408,279,263,295,FR,France\n202006,3,206669,195481,217857,314,297,331,FR,France\n202005,3,187957,177445,198469,285,269,301,FR,France\n202004,3,122331,113492,131170,186,173,199,FR,France\n202003,3,78413,71330,85496,119,108,130,FR,France\n202002,3,53614,47654,59574,81,72,90,FR,France\n202001,3,36850,31608,42092,56,48,64,FR,France\n201952,3,28135,23220,33050,43,36,50,FR,France\n201951,3,29786,25042,34530,45,38,52,FR,France\n201950,3,34223,29156,39290,52,44,60,FR,France\n201949,3,25662,21414,29910,39,33,45,FR,France\n201948,3,22367,18055,26679,34,27,41,FR,France\n201947,3,18669,14759,22579,28,22,34,FR,France\n201946,3,16030,12567,19493,24,19,29,FR,France\n201945,3,10138,7160,13116,15,10,20,FR,France\n201944,3,7822,5010,10634,12,8,16,FR,France\n201943,3,9487,6448,12526,14,9,19,FR,France\n201942,3,7747,5243,10251,12,8,16,FR,France\n201941,3,7122,4720,9524,11,7,15,FR,France\n201940,3,8505,5784,11226,13,9,17,FR,France\n201939,3,7091,4462,9720,11,7,15,FR,France\n201938,3,4897,2891,6903,7,4,10,FR,France\n201937,3,3172,1367,4977,5,2,8,FR,France\n201936,3,2295,728,3862,3,1,5,FR,France\n201935,3,1010,2,2018,2,0,4,FR,France\n201934,3,1672,279,3065,3,1,5,FR,France\n201933,3,1593,68,3118,2,0,4,FR,France\n201932,3,1592,71,3113,2,0,4,FR,France\n201931,3,2337,695,3979,4,2,6,FR,France\n201930,3,1944,415,3473,3,1,5,FR,France\n201929,3,2096,420,3772,3,0,6,FR,France\n201928,3,1195,125,2265,2,0,4,FR,France\n201927,3,2466,848,4084,4,2,6,FR,France\n201926,3,1798,402,3194,3,1,5,FR,France\n201925,3,1544,389,2699,2,0,4,FR,France\n201924,3,876,17,1735,1,0,2,FR,France\n201923,3,2004,748,3260,3,1,5,FR,France\n201922,3,2181,602,3760,3,1,5,FR,France\n201921,3,2585,1102,4068,4,2,6,FR,France\n201920,3,2891,1202,4580,4,1,7,FR,France\n201919,3,3221,1509,4933,5,2,8,FR,France\n201918,3,1385,278,2492,2,0,4,FR,France\n201917,3,3166,1348,4984,5,2,8,FR,France\n201916,3,3842,1973,5711,6,3,9,FR,France\n201915,3,5932,3669,8195,9,6,12,FR,France\n201914,3,12675,9167,16183,19,14,24,FR,France\n201913,3,16513,12530,20496,25,19,31,FR,France\n201912,3,22184,17786,26582,34,27,41,FR,France\n201911,3,31553,26556,36550,48,40,56,FR,France\n201910,3,49742,43268,56216,76,66,86,FR,France\n201909,3,88354,79564,97144,134,121,147,FR,France\n201908,3,172604,160024,185184,262,243,281,FR,France\n201907,3,307338,291220,323456,467,443,491,FR,France\n201906,3,394286,376782,411790,599,572,626,FR,France\n201905,3,355785,339295,372275,540,515,565,FR,France\n201904,3,241090,227261,254919,366,345,387,FR,France\n201903,3,147063,135890,158236,223,206,240,FR,France\n201902,3,75548,67632,83464,115,103,127,FR,France\n201901,3,50295,43525,57065,76,66,86,FR,France\n201852,3,37903,31375,44431,58,48,68,FR,France\n201851,3,39259,32977,45541,60,50,70,FR,France\n201850,3,27781,22638,32924,42,34,50,FR,France\n201849,3,19738,15481,23995,30,24,36,FR,France\n201848,3,19501,15275,23727,30,24,36,FR,France\n201847,3,15949,12105,19793,24,18,30,FR,France\n201846,3,11278,7957,14599,17,12,22,FR,France\n201845,3,11065,7791,14339,17,12,22,FR,France\n201844,3,6586,3875,9297,10,6,14,FR,France\n201843,3,6550,3988,9112,10,6,14,FR,France\n201842,3,7787,5129,10445,12,8,16,FR,France\n201841,3,8048,5098,10998,12,8,16,FR,France\n201840,3,7409,4717,10101,11,7,15,FR,France\n201839,3,7174,4235,10113,11,7,15,FR,France\n201838,3,7349,4399,10299,11,7,15,FR,France\n201837,3,4915,2386,7444,7,3,11,FR,France\n201836,3,3215,1349,5081,5,2,8,FR,France\n201835,3,1506,239,2773,2,0,4,FR,France\n201834,3,1368,116,2620,2,0,4,FR,France\n201833,3,1962,5,3919,3,0,6,FR,France\n201832,3,1839,183,3495,3,0,6,FR,France\n201831,3,2048,242,3854,3,0,6,FR,France\n201830,3,1951,202,3700,3,0,6,FR,France\n201829,3,1951,252,3650,3,0,6,FR,France\n201828,3,1654,52,3256,3,1,5,FR,France\n201827,3,3266,1145,5387,5,2,8,FR,France\n201826,3,3758,1493,6023,6,3,9,FR,France\n201825,3,4580,2220,6940,7,3,11,FR,France\n201824,3,3223,1351,5095,5,2,8,FR,France\n201823,3,1207,136,2278,2,0,4,FR,France\n201822,3,3202,1330,5074,5,2,8,FR,France\n201821,3,2537,763,4311,4,1,7,FR,France\n201820,3,2694,967,4421,4,1,7,FR,France\n201819,3,1025,0,2098,2,0,4,FR,France\n201818,3,3541,1416,5666,5,2,8,FR,France\n201817,3,2573,1003,4143,4,2,6,FR,France\n201816,3,4818,2724,6912,7,4,10,FR,France\n201815,3,16311,12168,20454,25,19,31,FR,France\n201814,3,22666,18092,27240,35,28,42,FR,France\n201813,3,32680,25536,39824,50,39,61,FR,France\n201812,3,52040,44590,59490,79,68,90,FR,France\n201811,3,65159,56506,73812,99,86,112,FR,France\n201810,3,93512,83989,103035,142,128,156,FR,France\n201809,3,108545,98645,118445,165,150,180,FR,France\n201808,3,131870,120950,142790,201,184,218,FR,France\n201807,3,141138,130177,152099,215,198,232,FR,France\n201806,3,138810,128164,149456,211,195,227,FR,France\n201805,3,157839,146646,169032,240,223,257,FR,France\n201804,3,175483,163835,187131,267,249,285,FR,France\n201803,3,178329,166640,190018,271,253,289,FR,France\n201802,3,198079,185663,210495,302,283,321,FR,France\n201801,3,235493,220941,250045,358,336,380,FR,France\n201752,3,299114,279359,318869,459,429,489,FR,France\n201751,3,229448,214366,244530,352,329,375,FR,France\n201750,3,129535,118787,140283,199,183,215,FR,France\n201749,3,63789,56120,71458,98,86,110,FR,France\n201748,3,37568,31541,43595,58,49,67,FR,France\n201747,3,24972,19923,30021,38,30,46,FR,France\n201746,3,13398,9948,16848,21,16,26,FR,France\n201745,3,14035,8091,19979,22,13,31,FR,France\n201744,3,8544,5318,11770,13,8,18,FR,France\n201743,3,7300,4402,10198,11,7,15,FR,France\n201742,3,9966,6503,13429,15,10,20,FR,France\n201741,3,12434,8718,16150,19,13,25,FR,France\n201740,3,12725,8690,16760,20,14,26,FR,France\n201739,3,14949,10534,19364,23,16,30,FR,France\n201738,3,11463,7438,15488,18,12,24,FR,France\n201737,3,9716,6364,13068,15,10,20,FR,France\n201736,3,2815,917,4713,4,1,7,FR,France\n201735,3,2794,850,4738,4,1,7,FR,France\n201734,3,2497,879,4115,4,2,6,FR,France\n201733,3,2406,766,4046,4,1,7,FR,France\n201732,3,2667,879,4455,4,1,7,FR,France\n201731,3,3256,1158,5354,5,2,8,FR,France\n201730,3,3759,1299,6219,6,2,10,FR,France\n201729,3,5014,1989,8039,8,3,13,FR,France\n201728,3,5271,2576,7966,8,4,12,FR,France\n201727,3,3924,1432,6416,6,2,10,FR,France\n201726,3,3171,1166,5176,5,2,8,FR,France\n201725,3,837,0,1721,1,0,2,FR,France\n201724,3,1566,248,2884,2,0,4,FR,France\n201723,3,1664,203,3125,3,1,5,FR,France\n201722,3,1305,92,2518,2,0,4,FR,France\n201721,3,971,0,2046,1,0,3,FR,France\n201720,3,2686,793,4579,4,1,7,FR,France\n201719,3,3461,1490,5432,5,2,8,FR,France\n201718,3,2102,515,3689,3,1,5,FR,France\n201717,3,2071,428,3714,3,0,6,FR,France\n201716,3,1380,222,2538,2,0,4,FR,France\n201715,3,479,0,1242,1,0,2,FR,France\n201714,3,1110,0,2549,2,0,4,FR,France\n201713,3,7594,3808,11380,12,6,18,FR,France\n201712,3,8780,4834,12726,13,7,19,FR,France\n201711,3,7814,4329,11299,12,7,17,FR,France\n201710,3,11802,7964,15640,18,12,24,FR,France\n201709,3,13111,9099,17123,20,14,26,FR,France\n201708,3,29545,23136,35954,45,35,55,FR,France\n201707,3,59590,49764,69416,91,76,106,FR,France\n201706,3,93628,82560,104696,144,127,161,FR,France\n201705,3,193677,179255,208099,297,275,319,FR,France\n201704,3,256428,240618,272238,394,370,418,FR,France\n201703,3,267276,251345,283207,410,386,434,FR,France\n201702,3,260588,245070,276106,400,376,424,FR,France\n201701,3,255535,239743,271327,392,368,416,FR,France\n201652,3,224489,207799,241179,345,319,371,FR,France\n201651,3,187704,172655,202753,288,265,311,FR,France\n201650,3,126570,115081,138059,194,176,212,FR,France\n201649,3,76390,67374,85406,117,103,131,FR,France\n201648,3,40502,33949,47055,62,52,72,FR,France\n201647,3,22270,17612,26928,34,27,41,FR,France\n201646,3,20816,16125,25507,32,25,39,FR,France\n201645,3,15957,11448,20466,24,17,31,FR,France\n201644,3,15145,10357,19933,23,16,30,FR,France\n201643,3,9378,5830,12926,14,9,19,FR,France\n201642,3,12920,9044,16796,20,14,26,FR,France\n201641,3,13909,9709,18109,21,15,27,FR,France\n201640,3,13379,8969,17789,21,14,28,FR,France\n201639,3,10598,6814,14382,16,10,22,FR,France\n201638,3,5969,3073,8865,9,5,13,FR,France\n201637,3,4065,1538,6592,6,2,10,FR,France\n201636,3,2372,473,4271,4,1,7,FR,France\n201635,3,3420,1350,5490,5,2,8,FR,France\n201634,3,2233,0,4643,3,0,7,FR,France\n201633,3,1567,0,3938,2,0,6,FR,France\n201632,3,2100,93,4107,3,0,6,FR,France\n201631,3,3691,0,9120,6,0,14,FR,France\n201630,3,3209,644,5774,5,1,9,FR,France\n201629,3,1469,0,3073,2,0,4,FR,France\n201628,3,2725,357,5093,4,0,8,FR,France\n201627,3,5905,2343,9467,9,4,14,FR,France\n201626,3,4186,1636,6736,6,2,10,FR,France\n201625,3,4611,1560,7662,7,2,12,FR,France\n201624,3,4977,2404,7550,8,4,12,FR,France\n201623,3,4893,2416,7370,8,4,12,FR,France\n201622,3,5667,3015,8319,9,5,13,FR,France\n201621,3,5603,2475,8731,9,4,14,FR,France\n201620,3,3908,1679,6137,6,3,9,FR,France\n201619,3,4738,2308,7168,7,3,11,FR,France\n201618,3,8204,4394,12014,13,7,19,FR,France\n201617,3,13385,8822,17948,21,14,28,FR,France\n201616,3,25670,19632,31708,39,30,48,FR,France\n201615,3,48441,39824,57058,74,61,87,FR,France\n201614,3,92603,81261,103945,142,125,159,FR,France\n201613,3,170654,156387,184921,262,240,284,FR,France\n201612,3,272174,254338,290010,418,391,445,FR,France\n201611,3,304543,286453,322633,467,439,495,FR,France\n201610,3,261822,245799,277845,402,377,427,FR,France\n201609,3,229943,214533,245353,353,329,377,FR,France\n201608,3,195067,180874,209260,299,277,321,FR,France\n201607,3,207359,193223,221495,318,296,340,FR,France\n201606,3,196143,182672,209614,301,280,322,FR,France\n201605,3,178963,166296,191630,275,256,294,FR,France\n201604,3,148473,136591,160355,228,210,246,FR,France\n201603,3,75277,66630,83924,116,103,129,FR,France\n201602,3,44617,37821,51413,68,58,78,FR,France\n201601,3,42263,35556,48970,65,55,75,FR,France\n201553,3,24835,19106,30564,38,29,47,FR,France\n201552,3,19495,14319,24671,30,22,38,FR,France\n201551,3,29080,23014,35146,45,36,54,FR,France\n201550,3,25043,19812,30274,39,31,47,FR,France\n201549,3,21479,16686,26272,33,26,40,FR,France\n201548,3,16428,12273,20583,25,19,31,FR,France\n201547,3,14959,10856,19062,23,17,29,FR,France\n201546,3,12599,8237,16961,20,13,27,FR,France\n201545,3,13577,9192,17962,21,14,28,FR,France\n201544,3,14596,10025,19167,23,16,30,FR,France\n201543,3,16749,11745,21753,26,18,34,FR,France\n201542,3,18675,13613,23737,29,21,37,FR,France\n201541,3,13585,9830,17340,21,15,27,FR,France\n201540,3,13100,9349,16851,20,14,26,FR,France\n201539,3,8595,5671,11519,13,8,18,FR,France\n201538,3,8402,4929,11875,13,8,18,FR,France\n201537,3,8817,4089,13545,14,7,21,FR,France\n201536,3,1922,440,3404,3,1,5,FR,France\n201535,3,229,0,644,0,0,1,FR,France\n201534,3,760,0,1618,1,0,2,FR,France\n201533,3,1537,208,2866,2,0,4,FR,France\n201532,3,1594,66,3122,2,0,4,FR,France\n201531,3,2845,475,5215,4,0,8,FR,France\n201530,3,2447,353,4541,4,1,7,FR,France\n201529,3,2389,332,4446,4,1,7,FR,France\n201528,3,2089,105,4073,3,0,6,FR,France\n201527,3,2257,393,4121,3,0,6,FR,France\n201526,3,2536,774,4298,4,1,7,FR,France\n201525,3,2607,680,4534,4,1,7,FR,France\n201524,3,2849,1000,4698,4,1,7,FR,France\n201523,3,2702,857,4547,4,1,7,FR,France\n201522,3,4262,1989,6535,7,3,11,FR,France\n201521,3,5547,2875,8219,9,5,13,FR,France\n201520,3,4594,2040,7148,7,3,11,FR,France\n201519,3,6307,3256,9358,10,5,15,FR,France\n201518,3,3664,1544,5784,6,3,9,FR,France\n201517,3,6382,3523,9241,10,6,14,FR,France\n201516,3,12098,7913,16283,19,13,25,FR,France\n201515,3,19458,14192,24724,30,22,38,FR,France\n201514,3,30940,24617,37263,48,38,58,FR,France\n201513,3,49563,41986,57140,77,65,89,FR,France\n201512,3,70024,61079,78969,109,95,123,FR,France\n201511,3,99295,88838,109752,154,138,170,FR,France\n201510,3,143931,131682,156180,223,204,242,FR,France\n201509,3,238947,222902,254992,370,345,395,FR,France\n201508,3,409972,388670,431274,635,602,668,FR,France\n201507,3,517750,494301,541199,802,766,838,FR,France\n201506,3,533317,510627,556007,827,792,862,FR,France\n201505,3,457911,436964,478858,710,678,742,FR,France\n201504,3,292161,275491,308831,453,427,479,FR,France\n201503,3,153931,141290,166572,239,219,259,FR,France\n201502,3,104096,93358,114834,161,144,178,FR,France\n201501,3,70962,60505,81419,110,94,126,FR,France\n201452,3,63168,52705,73631,98,82,114,FR,France\n201451,3,45346,38002,52690,71,60,82,FR,France\n201450,3,42182,35049,49315,66,55,77,FR,France\n201449,3,33537,27281,39793,52,42,62,FR,France\n201448,3,28156,21896,34416,44,34,54,FR,France\n201447,3,18158,13186,23130,28,20,36,FR,France\n201446,3,14764,10174,19354,23,16,30,FR,France\n201445,3,16172,11449,20895,25,18,32,FR,France\n201444,3,15500,10464,20536,24,16,32,FR,France\n201443,3,16011,10653,21369,25,17,33,FR,France\n201442,3,21651,15828,27474,34,25,43,FR,France\n201441,3,22486,16295,28677,35,25,45,FR,France\n201440,3,16526,11583,21469,26,18,34,FR,France\n201439,3,8583,5054,12112,13,8,18,FR,France\n201438,3,10567,6496,14638,16,10,22,FR,France\n201437,3,7714,3780,11648,12,6,18,FR,France\n201436,3,5018,1949,8087,8,3,13,FR,France\n201435,3,2268,355,4181,4,1,7,FR,France\n201434,3,2367,250,4484,4,1,7,FR,France\n201433,3,2358,0,4875,4,0,8,FR,France\n201432,3,3229,447,6011,5,1,9,FR,France\n201431,3,4143,349,7937,6,0,12,FR,France\n201430,3,4631,902,8360,7,1,13,FR,France\n201429,3,5122,1258,8986,8,2,14,FR,France\n201428,3,4145,1200,7090,6,1,11,FR,France\n201427,3,4823,1997,7649,8,4,12,FR,France\n201426,3,3858,1235,6481,6,2,10,FR,France\n201425,3,4564,1276,7852,7,2,12,FR,France\n201424,3,2007,249,3765,3,0,6,FR,France\n201423,3,5164,1853,8475,8,3,13,FR,France\n201422,3,6907,1856,11958,11,3,19,FR,France\n201421,3,4523,1039,8007,7,2,12,FR,France\n201420,3,5881,2432,9330,9,4,14,FR,France\n201419,3,3588,1277,5899,6,2,10,FR,France\n201418,3,4708,1654,7762,7,2,12,FR,France\n201417,3,2989,625,5353,5,1,9,FR,France\n201416,3,7057,3381,10733,11,5,17,FR,France\n201415,3,10800,6762,14838,17,11,23,FR,France\n201414,3,19217,13490,24944,30,21,39,FR,France\n201413,3,21577,15435,27719,34,24,44,FR,France\n201412,3,23524,17260,29788,37,27,47,FR,France\n201411,3,44513,35939,53087,69,56,82,FR,France\n201410,3,86105,73497,98713,134,114,154,FR,France\n201409,3,147035,131889,162181,229,205,253,FR,France\n201408,3,188419,171950,204888,293,267,319,FR,France\n201407,3,208726,191283,226169,325,298,352,FR,France\n201406,3,160403,145280,175526,250,226,274,FR,France\n201405,3,120261,107176,133346,187,167,207,FR,France\n201404,3,85280,74414,96146,133,116,150,FR,France\n201403,3,64159,54089,74229,100,84,116,FR,France\n201402,3,46850,38202,55498,73,60,86,FR,France\n201401,3,35624,27451,43797,55,42,68,FR,France\n201352,3,30142,22721,37563,47,35,59,FR,France\n201351,3,29787,23215,36359,47,37,57,FR,France\n201350,3,24055,18214,29896,38,29,47,FR,France\n201349,3,18071,13058,23084,28,20,36,FR,France\n201348,3,17606,12195,23017,28,20,36,FR,France\n201347,3,22636,16343,28929,35,25,45,FR,France\n201346,3,13340,8367,18313,21,13,29,FR,France\n201345,3,10596,6057,15135,17,10,24,FR,France\n201344,3,10193,5622,14764,16,9,23,FR,France\n201343,3,15780,9497,22063,25,15,35,FR,France\n201342,3,14830,9545,20115,23,15,31,FR,France\n201341,3,12391,7265,17517,19,11,27,FR,France\n201340,3,9794,5140,14448,15,8,22,FR,France\n201339,3,5371,1704,9038,8,2,14,FR,France\n201338,3,9324,4198,14450,15,7,23,FR,France\n201337,3,5027,1752,8302,8,3,13,FR,France\n201336,3,4639,1425,7853,7,2,12,FR,France\n201335,3,1291,0,3112,2,0,5,FR,France\n201334,3,1889,0,4912,3,0,8,FR,France\n201333,3,4740,348,9132,7,0,14,FR,France\n201332,3,4709,549,8869,7,0,14,FR,France\n201331,3,2270,0,5811,4,0,10,FR,France\n201330,3,2169,0,4630,3,0,7,FR,France\n201329,3,1696,0,3558,3,0,6,FR,France\n201328,3,983,0,2168,2,0,4,FR,France\n201327,3,4278,1327,7229,7,2,12,FR,France\n201326,3,3488,839,6137,5,1,9,FR,France\n201325,3,2735,0,5826,4,0,9,FR,France\n201324,3,7245,2997,11493,11,4,18,FR,France\n201323,3,16094,8918,23270,25,14,36,FR,France\n201322,3,7245,2923,11567,11,4,18,FR,France\n201321,3,5974,2401,9547,9,3,15,FR,France\n201320,3,3831,1245,6417,6,2,10,FR,France\n201319,3,1166,0,2680,2,0,4,FR,France\n201318,3,3415,757,6073,5,1,9,FR,France\n201317,3,7941,2950,12932,12,4,20,FR,France\n201316,3,9520,4758,14282,15,8,22,FR,France\n201315,3,19357,13311,25403,30,21,39,FR,France\n201314,3,36855,27737,45973,58,44,72,FR,France\n201313,3,43236,34048,52424,68,54,82,FR,France\n201312,3,60822,50414,71230,95,79,111,FR,France\n201311,3,84308,72456,96160,132,113,151,FR,France\n201310,3,165558,148471,182645,259,232,286,FR,France\n201309,3,259984,239067,280901,407,374,440,FR,France\n201308,3,351626,327537,375715,550,512,588,FR,France\n201307,3,470076,443682,496470,736,695,777,FR,France\n201306,3,471647,445112,498182,738,696,780,FR,France\n201305,3,492026,464729,519323,770,727,813,FR,France\n201304,3,391525,367182,415868,613,575,651,FR,France\n201303,3,224661,207134,242188,352,325,379,FR,France\n201302,3,184159,168343,199975,288,263,313,FR,France\n201301,3,163491,147340,179642,256,231,281,FR,France\n201252,3,159290,141978,176602,251,224,278,FR,France\n201251,3,113901,99835,127967,179,157,201,FR,France\n201250,3,79918,68086,91750,126,107,145,FR,France\n201249,3,47537,38711,56363,75,61,89,FR,France\n201248,3,43006,32863,53149,68,52,84,FR,France\n201247,3,39223,29140,49306,62,46,78,FR,France\n201246,3,26436,18286,34586,42,29,55,FR,France\n201245,3,18893,12799,24987,30,20,40,FR,France\n201244,3,13106,8784,17428,21,14,28,FR,France\n201243,3,17791,11284,24298,28,18,38,FR,France\n201242,3,13096,8369,17823,21,14,28,FR,France\n201241,3,18675,12010,25340,29,19,39,FR,France\n201240,3,17873,11545,24201,28,18,38,FR,France\n201239,3,20257,14180,26334,32,22,42,FR,France\n201238,3,14715,9178,20252,23,14,32,FR,France\n201237,3,7775,3509,12041,12,5,19,FR,France\n201236,3,6384,2420,10348,10,4,16,FR,France\n201235,3,8277,2206,14348,13,3,23,FR,France\n201234,3,3858,0,8641,6,0,14,FR,France\n201233,3,6492,840,12144,10,1,19,FR,France\n201232,3,6381,0,14034,10,0,22,FR,France\n201231,3,2696,0,5763,4,0,9,FR,France\n201230,3,1834,0,4194,3,0,7,FR,France\n201229,3,6329,1424,11234,10,2,18,FR,France\n201228,3,4628,1091,8165,7,1,13,FR,France\n201227,3,4162,1487,6837,7,3,11,FR,France\n201226,3,4819,1097,8541,8,2,14,FR,France\n201225,3,2669,530,4808,4,1,7,FR,France\n201224,3,5977,2335,9619,9,3,15,FR,France\n201223,3,2361,576,4146,4,1,7,FR,France\n201222,3,5772,2435,9109,9,4,14,FR,France\n201221,3,3722,821,6623,6,1,11,FR,France\n201220,3,2731,897,4565,4,1,7,FR,France\n201219,3,3267,1317,5217,5,2,8,FR,France\n201218,3,2328,569,4087,4,1,7,FR,France\n201217,3,6982,2701,11263,11,4,18,FR,France\n201216,3,11455,6874,16036,18,11,25,FR,France\n201215,3,20437,13435,27439,32,21,43,FR,France\n201214,3,36740,27799,45681,58,44,72,FR,France\n201213,3,62917,50171,75663,99,79,119,FR,France\n201212,3,84738,71566,97910,133,112,154,FR,France\n201211,3,128945,113778,144112,203,179,227,FR,France\n201210,3,174704,157337,192071,275,248,302,FR,France\n201209,3,225648,206810,244486,355,325,385,FR,France\n201208,3,287293,264901,309685,452,417,487,FR,France\n201207,3,263557,242711,284403,415,382,448,FR,France\n201206,3,175123,158942,191304,276,251,301,FR,France\n201205,3,106110,92524,119696,167,146,188,FR,France\n201204,3,67778,56784,78772,107,90,124,FR,France\n201203,3,49440,40981,57899,78,65,91,FR,France\n201202,3,40507,32652,48362,64,52,76,FR,France\n201201,3,45104,35640,54568,71,56,86,FR,France\n201152,3,36532,28367,44697,58,45,71,FR,France\n201151,3,25835,19002,32668,41,30,52,FR,France\n201150,3,24155,18145,30165,38,28,48,FR,France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189164,271,241,301,FR,France\n200943,3,131408,114883,147933,209,183,235,FR,France\n200942,3,99387,84491,114283,158,134,182,FR,France\n200941,3,100802,86381,115223,160,137,183,FR,France\n200940,3,111587,97628,125546,178,156,200,FR,France\n200939,3,121267,106153,136381,193,169,217,FR,France\n200938,3,137924,121242,154606,220,193,247,FR,France\n200937,3,101332,87522,115142,161,139,183,FR,France\n200936,3,46024,36435,55613,73,58,88,FR,France\n200935,3,31660,23669,39651,50,37,63,FR,France\n200934,3,24985,17699,32271,40,28,52,FR,France\n200933,3,24435,16308,32562,39,26,52,FR,France\n200932,3,23151,14624,31678,37,23,51,FR,France\n200931,3,30255,9818,50692,48,15,81,FR,France\n200930,3,13868,7861,19875,22,12,32,FR,France\n200929,3,10704,5314,16094,17,8,26,FR,France\n200928,3,15516,273,30759,25,1,49,FR,France\n200927,3,10354,2760,17948,16,4,28,FR,France\n200926,3,9932,5257,14607,16,9,23,FR,France\n200925,3,7619,4026,11212,12,6,18,FR,France\n200924,3,7794,3409,12179,12,5,19,FR,France\n200923,3,4342,1975,6709,7,3,11,FR,France\n200922,3,6390,3020,9760,10,5,15,FR,France\n200921,3,7118,3704,10532,11,6,16,FR,France\n200920,3,9482,5804,13160,15,9,21,FR,France\n200919,3,7538,4299,10777,12,7,17,FR,France\n200918,3,9627,5121,14133,15,8,22,FR,France\n200917,3,9537,5267,13807,15,8,22,FR,France\n200916,3,14666,9218,20114,23,14,32,FR,France\n200915,3,17533,12137,22929,28,19,37,FR,France\n200914,3,26324,19150,33498,42,31,53,FR,France\n200913,3,27737,20781,34693,44,33,55,FR,France\n200912,3,38811,29935,47687,62,48,76,FR,France\n200911,3,40410,30705,50115,64,49,79,FR,France\n200910,3,53395,41943,64847,85,67,103,FR,France\n200909,3,70558,57400,83716,112,91,133,FR,France\n200908,3,109100,94840,123360,174,151,197,FR,France\n200907,3,141531,125101,157961,225,199,251,FR,France\n200906,3,276274,252759,299789,440,403,477,FR,France\n200905,3,401868,375032,428704,640,597,683,FR,France\n200904,3,545313,512892,577734,868,816,920,FR,France\n200903,3,520957,487271,554643,829,775,883,FR,France\n200902,3,287145,262869,311421,457,418,496,FR,France\n200901,3,200349,180878,219820,319,288,350,FR,France\n200852,3,198418,115769,281067,323,188,458,FR,France\n200851,3,112588,96656,128520,184,158,210,FR,France\n200850,3,51746,43319,60173,84,70,98,FR,France\n200849,3,34950,27527,42373,57,45,69,FR,France\n200848,3,25604,18563,32645,42,31,53,FR,France\n200847,3,18706,10838,26574,30,17,43,FR,France\n200846,3,10899,5461,16337,18,9,27,FR,France\n200845,3,12472,7082,17862,20,11,29,FR,France\n200844,3,9772,5661,13883,16,9,23,FR,France\n200843,3,9345,5541,13149,15,9,21,FR,France\n200842,3,9087,5572,12602,15,9,21,FR,France\n200841,3,9925,5637,14213,16,9,23,FR,France\n200840,3,7869,4535,11203,13,8,18,FR,France\n200839,3,2195,506,3884,4,1,7,FR,France\n200838,3,3679,1481,5877,6,2,10,FR,France\n200837,3,2429,561,4297,4,1,7,FR,France\n200836,3,2512,492,4532,4,1,7,FR,France\n200835,3,1901,0,4869,3,0,8,FR,France\n200834,3,2552,0,6509,4,0,10,FR,France\n200833,3,7229,0,16106,12,0,26,FR,France\n200832,3,4378,107,8649,7,0,14,FR,France\n200831,3,3972,621,7323,6,1,11,FR,France\n200830,3,3821,643,6999,6,1,11,FR,France\n200829,3,2055,0,4225,3,0,7,FR,France\n200828,3,3257,208,6306,5,0,10,FR,France\n200827,3,2862,474,5250,5,1,9,FR,France\n200826,3,897,0,2062,1,0,3,FR,France\n200825,3,2006,360,3652,3,0,6,FR,France\n200824,3,3217,823,5611,5,1,9,FR,France\n200823,3,2906,1006,4806,5,2,8,FR,France\n200822,3,1792,451,3133,3,1,5,FR,France\n200821,3,3642,925,6359,6,2,10,FR,France\n200820,3,6452,2790,10114,11,5,17,FR,France\n200819,3,5173,1485,8861,8,2,14,FR,France\n200818,3,5315,1770,8860,9,3,15,FR,France\n200817,3,10150,5835,14465,17,10,24,FR,France\n200816,3,11876,7054,16698,19,11,27,FR,France\n200815,3,22871,16253,29489,37,26,48,FR,France\n200814,3,45610,27907,63313,74,45,103,FR,France\n200813,3,38600,29300,47900,63,48,78,FR,France\n200812,3,53169,43299,63039,87,71,103,FR,France\n200811,3,62014,50430,73598,101,82,120,FR,France\n200810,3,90342,75729,104955,147,123,171,FR,France\n200809,3,119696,104205,135187,195,170,220,FR,France\n200808,3,198688,180749,216627,324,295,353,FR,France\n200807,3,286498,264535,308461,467,431,503,FR,France\n200806,3,377097,350714,403480,615,572,658,FR,France\n200805,3,344050,320436,367664,561,523,599,FR,France\n200804,3,290196,268193,312199,473,437,509,FR,France\n200803,3,260268,233385,287151,424,380,468,FR,France\n200802,3,160872,145311,176433,262,237,287,FR,France\n200801,3,102562,88547,116577,167,144,190,FR,France\n200752,3,86742,72295,101189,141,117,165,FR,France\n200751,3,61954,51764,72144,101,84,118,FR,France\n200750,3,45366,36923,53809,74,60,88,FR,France\n200749,3,38351,26177,50525,63,43,83,FR,France\n200748,3,48174,35418,60930,79,58,100,FR,France\n200747,3,30716,23351,38081,50,38,62,FR,France\n200746,3,18204,12267,24141,30,20,40,FR,France\n200745,3,15521,10195,20847,25,16,34,FR,France\n200744,3,13904,9072,18736,23,15,31,FR,France\n200743,3,16212,10778,21646,26,17,35,FR,France\n200742,3,20197,13955,26439,33,23,43,FR,France\n200741,3,12987,8464,17510,21,14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e\n199915,3,11535,6814,16256,20,12,28,FR,France\n199914,3,18730,13131,24329,32,22,42,FR,France\n199913,3,38453,29560,47346,66,51,81,FR,France\n199912,3,58090,48072,68108,99,82,116,FR,France\n199911,3,91329,78686,103972,156,134,178,FR,France\n199910,3,147976,131058,164894,253,224,282,FR,France\n199909,3,207450,188710,226190,355,323,387,FR,France\n199908,3,313293,292280,334306,536,500,572,FR,France\n199907,3,524136,496702,551570,896,849,943,FR,France\n199906,3,493908,466605,521211,844,797,891,FR,France\n199905,3,476884,449696,504072,815,769,861,FR,France\n199904,3,368514,345131,391897,630,590,670,FR,France\n199903,3,242388,224208,260568,414,383,445,FR,France\n199902,3,160657,145209,176105,275,249,301,FR,France\n199901,3,130133,115125,145141,222,196,248,FR,France\n199853,3,107611,92301,122921,185,159,211,FR,France\n199852,3,72373,61032,83714,124,105,143,FR,France\n199851,3,78179,67156,89202,134,115,153,FR,France\n199850,3,54775,45478,64072,94,78,110,FR,France\n199849,3,33385,26332,40438,57,45,69,FR,France\n199848,3,22636,16668,28604,39,29,49,FR,France\n199847,3,14505,9746,19264,25,17,33,FR,France\n199846,3,13804,9049,18559,24,16,32,FR,France\n199845,3,13021,8113,17929,22,14,30,FR,France\n199844,3,12631,7410,17852,22,13,31,FR,France\n199843,3,12180,7125,17235,21,12,30,FR,France\n199842,3,18885,12726,25044,32,21,43,FR,France\n199841,3,24196,17506,30886,42,31,53,FR,France\n199840,3,20235,14114,26356,35,25,45,FR,France\n199839,3,17075,11538,22612,29,20,38,FR,France\n199838,3,10837,6336,15338,19,11,27,FR,France\n199837,3,6968,3227,10709,12,6,18,FR,France\n199836,3,3033,580,5486,5,1,9,FR,France\n199835,3,2491,0,5022,4,0,8,FR,France\n199834,3,3853,589,7117,7,1,13,FR,France\n199833,3,2934,0,6598,5,0,11,FR,France\n199832,3,1308,0,2894,2,0,5,FR,France\n199831,3,12147,0,29237,21,0,50,FR,France\n199830,3,5309,1628,8990,9,3,15,FR,France\n199829,3,6486,2465,10507,11,4,18,FR,France\n199828,3,9577,4464,14690,16,7,25,FR,France\n199827,3,12358,7158,17558,21,12,30,FR,France\n199826,3,10415,6547,14283,18,11,25,FR,France\n199825,3,18246,13050,23442,31,22,40,FR,France\n199824,3,16263,11126,21400,28,19,37,FR,France\n199823,3,8553,4911,12195,15,9,21,FR,France\n199822,3,5181,2669,7693,9,5,13,FR,France\n199821,3,4751,2416,7086,8,4,12,FR,France\n199820,3,12129,8099,16159,21,14,28,FR,France\n199819,3,24118,17906,30330,41,30,52,FR,France\n199818,3,31612,24512,38712,54,42,66,FR,France\n199817,3,61148,51894,70402,105,89,121,FR,France\n199816,3,123195,109878,136512,211,188,234,FR,France\n199815,3,171603,156715,186491,294,268,320,FR,France\n199814,3,319092,298398,339786,547,512,582,FR,France\n199813,3,298212,278513,317911,512,478,546,FR,France\n199812,3,263585,246356,280814,452,422,482,FR,France\n199811,3,220578,204894,236262,378,351,405,FR,France\n199810,3,202354,186304,218404,347,319,375,FR,France\n199809,3,227553,209970,245136,390,360,420,FR,France\n199808,3,271362,252005,290719,465,432,498,FR,France\n199807,3,190187,173694,206680,326,298,354,FR,France\n199806,3,88217,76829,99605,151,131,171,FR,France\n199805,3,45180,36970,53390,77,63,91,FR,France\n199804,3,30005,23272,36738,51,39,63,FR,France\n199803,3,23900,18221,29579,41,31,51,FR,France\n199802,3,31143,23994,38292,53,41,65,FR,France\n199801,3,24809,17786,31832,43,31,55,FR,France\n199752,3,29039,21984,36094,50,38,62,FR,France\n199751,3,34924,27737,42111,60,48,72,FR,France\n199750,3,33527,26388,40666,58,46,70,FR,France\n199749,3,15978,11147,20809,27,19,35,FR,France\n199748,3,11507,7744,15270,20,14,26,FR,France\n199747,3,11059,7151,14967,19,12,26,FR,France\n199746,3,8073,4613,11533,14,8,20,FR,France\n199745,3,18202,13113,23291,31,22,40,FR,France\n199744,3,19770,14405,25135,34,25,43,FR,France\n199743,3,16707,11945,21469,29,21,37,FR,France\n199742,3,15340,10351,20329,26,17,35,FR,France\n199741,3,16933,11941,21925,29,20,38,FR,France\n199740,3,13292,8709,17875,23,15,31,FR,France\n199739,3,10189,6279,14099,18,11,25,FR,France\n199738,3,3231,1061,5401,6,2,10,FR,France\n199737,3,4542,1949,7135,8,4,12,FR,France\n199736,3,5131,2205,8057,9,4,14,FR,France\n199735,3,1842,0,3740,3,0,6,FR,France\n199734,3,3226,0,6717,6,0,12,FR,France\n199733,3,1799,0,4368,3,0,7,FR,France\n199732,3,2086,0,4411,4,0,8,FR,France\n199731,3,1386,0,3332,2,0,5,FR,France\n199730,3,2116,0,4919,4,0,9,FR,France\n199729,3,1973,0,4347,3,0,7,FR,France\n199728,3,1560,216,2904,3,1,5,FR,France\n199727,3,2540,754,4326,4,1,7,FR,France\n199726,3,5582,2699,8465,10,5,15,FR,France\n199725,3,4012,1090,6934,7,2,12,FR,France\n199724,3,4696,1824,7568,8,3,13,FR,France\n199723,3,4709,2136,7282,8,4,12,FR,France\n199722,3,2283,665,3901,4,1,7,FR,France\n199721,3,2108,664,3552,4,2,6,FR,France\n199720,3,3257,1519,4995,6,3,9,FR,France\n199719,3,4646,2436,6856,8,4,12,FR,France\n199718,3,5246,2764,7728,9,5,13,FR,France\n199717,3,14236,9906,18566,24,17,31,FR,France\n199716,3,12169,8111,16227,21,14,28,FR,France\n199715,3,9516,6192,12840,16,10,22,FR,France\n199714,3,13602,9659,17545,23,16,30,FR,France\n199713,3,18032,13345,22719,31,23,39,FR,France\n199712,3,17199,12707,21691,30,22,38,FR,France\n199711,3,19988,15419,24557,34,26,42,FR,France\n199710,3,21903,17338,26468,38,30,46,FR,France\n199709,3,29860,24261,35459,51,41,61,FR,France\n199708,3,55445,47857,63033,95,82,108,FR,France\n199707,3,70876,62518,79234,122,108,136,FR,France\n199706,3,76906,68152,85660,132,117,147,FR,France\n199705,3,95900,86095,105705,165,148,182,FR,France\n199704,3,96896,87079,106713,167,150,184,FR,France\n199703,3,143844,131917,155771,248,227,269,FR,France\n199702,3,211578,197395,225761,364,340,388,FR,France\n199701,3,280440,263783,297097,483,454,512,FR,France\n199652,3,388201,369211,407191,670,637,703,FR,France\n199651,3,640627,617388,663866,1106,1066,1146,FR,France\n199650,3,535205,514568,555842,924,888,960,FR,France\n199649,3,411498,393335,429661,710,679,741,FR,France\n199648,3,195568,182563,208573,338,316,360,FR,France\n199647,3,71980,63619,80341,124,110,138,FR,France\n199646,3,32138,26358,37918,55,45,65,FR,France\n199645,3,25551,20136,30966,44,35,53,FR,France\n199644,3,10753,7230,14276,19,13,25,FR,France\n199643,3,12971,9311,16631,22,16,28,FR,France\n199642,3,11929,8472,15386,21,15,27,FR,France\n199641,3,9918,6674,13162,17,11,23,FR,France\n199640,3,10765,7067,14463,19,13,25,FR,France\n199639,3,8377,5183,11571,14,8,20,FR,France\n199638,3,9470,5965,12975,16,10,22,FR,France\n199637,3,2925,829,5021,5,1,9,FR,France\n199636,3,1122,23,2221,2,0,4,FR,France\n199635,3,1674,93,3255,3,0,6,FR,France\n199634,3,1273,122,2424,2,0,4,FR,France\n199633,3,540,0,1246,1,0,2,FR,France\n199632,3,1453,176,2730,3,1,5,FR,France\n199631,3,3010,752,5268,5,1,9,FR,France\n199630,3,2992,706,5278,5,1,9,FR,France\n199629,3,1559,144,2974,3,1,5,FR,France\n199628,3,3109,541,5677,5,1,9,FR,France\n199627,3,4456,1595,7317,8,3,13,FR,France\n199626,3,2871,1138,4604,5,2,8,FR,France\n199625,3,2308,856,3760,4,1,7,FR,France\n199624,3,2490,1067,3913,4,2,6,FR,France\n199623,3,2819,1262,4376,5,2,8,FR,France\n199622,3,4005,1984,6026,7,4,10,FR,France\n199621,3,7042,4291,9793,12,7,17,FR,France\n199620,3,10619,7365,13873,18,12,24,FR,France\n199619,3,11898,8065,15731,21,14,28,FR,France\n199618,3,18338,13352,23324,32,23,41,FR,France\n199617,3,24954,19100,30808,43,33,53,FR,France\n199616,3,29313,23868,34758,51,42,60,FR,France\n199615,3,51703,43644,59762,89,75,103,FR,France\n199614,3,44414,36774,52054,77,64,90,FR,France\n199613,3,30622,25062,36182,53,43,63,FR,France\n199612,3,31818,25852,37784,55,45,65,FR,France\n199611,3,24427,19499,29355,42,33,51,FR,France\n199610,3,20910,16198,25622,36,28,44,FR,France\n199609,3,19594,15228,23960,34,26,42,FR,France\n199608,3,19046,14850,23242,33,26,40,FR,France\n199607,3,23041,18338,27744,40,32,48,FR,France\n199606,3,21810,17153,26467,38,30,46,FR,France\n199605,3,25275,20410,30140,44,36,52,FR,France\n199604,3,43359,36948,49770,75,64,86,FR,France\n199603,3,54691,48016,61366,94,82,106,FR,France\n199602,3,105606,96106,115106,182,166,198,FR,France\n199601,3,223830,209274,238386,386,361,411,FR,France\n199552,3,397122,378252,415992,688,655,721,FR,France\n199551,3,749988,725434,774542,1299,1256,1342,FR,France\n199550,3,604926,583100,626752,1047,1009,1085,FR,France\n199549,3,375500,358200,392800,650,620,680,FR,France\n199548,3,206446,193457,219435,357,335,379,FR,France\n199547,3,120472,110526,130418,209,192,226,FR,France\n199546,3,62380,55042,69718,108,95,121,FR,France\n199545,3,29791,24523,35059,52,43,61,FR,France\n199544,3,13168,9820,16516,23,17,29,FR,France\n199543,3,16188,12389,19987,28,21,35,FR,France\n199542,3,15178,11387,18969,26,19,33,FR,France\n199541,3,14980,10851,19109,26,19,33,FR,France\n199540,3,16245,11610,20880,28,20,36,FR,France\n199539,3,18499,13844,23154,32,24,40,FR,France\n199538,3,13123,9410,16836,23,17,29,FR,France\n199537,3,4895,2666,7124,8,4,12,FR,France\n199536,3,3659,1574,5744,6,2,10,FR,France\n199535,3,2496,644,4348,4,1,7,FR,France\n199534,3,1887,214,3560,3,0,6,FR,France\n199533,3,905,0,2007,2,0,4,FR,France\n199532,3,700,0,1699,1,0,3,FR,France\n199531,3,1946,92,3800,3,0,6,FR,France\n199530,3,1898,46,3750,3,0,6,FR,France\n199529,3,2148,687,3609,4,1,7,FR,France\n199528,3,3312,1430,5194,6,3,9,FR,France\n199527,3,4853,2683,7023,8,4,12,FR,France\n199526,3,4986,2911,7061,9,5,13,FR,France\n199525,3,4571,2520,6622,8,4,12,FR,France\n199524,3,8058,5054,11062,14,9,19,FR,France\n199523,3,13820,9801,17839,24,17,31,FR,France\n199522,3,14124,9999,18249,24,17,31,FR,France\n199521,3,11931,8655,15207,21,15,27,FR,France\n199520,3,18846,14311,23381,33,25,41,FR,France\n199519,3,26261,21488,31034,45,37,53,FR,France\n199518,3,39231,33258,45204,68,58,78,FR,France\n199517,3,88640,79343,97937,153,137,169,FR,France\n199516,3,140488,129439,151537,243,224,262,FR,France\n199515,3,181007,169110,192904,313,292,334,FR,France\n199514,3,248704,235144,262264,431,408,454,FR,France\n199513,3,209839,197191,222487,363,341,385,FR,France\n199512,3,122434,112497,132371,212,195,229,FR,France\n199511,3,81730,73346,90114,142,127,157,FR,France\n199510,3,49387,42703,56071,86,74,98,FR,France\n199509,3,39696,33259,46133,69,58,80,FR,France\n199508,3,38008,32225,43791,66,56,76,FR,France\n199507,3,30550,25479,35621,53,44,62,FR,France\n199506,3,37351,32007,42695,65,56,74,FR,France\n199505,3,27876,23218,32534,48,40,56,FR,France\n199504,3,27643,22818,32468,48,40,56,FR,France\n199503,3,24844,20391,29297,43,35,51,FR,France\n199502,3,23480,19249,27711,41,34,48,FR,France\n199501,3,26556,21916,31196,46,38,54,FR,France\n199452,3,22036,17495,26577,38,30,46,FR,France\n199451,3,26912,21750,32074,47,38,56,FR,France\n199450,3,28831,23470,34192,50,41,59,FR,France\n199449,3,21161,16559,25763,37,29,45,FR,France\n199448,3,18487,14456,22518,32,25,39,FR,France\n199447,3,15206,11578,18834,26,20,32,FR,France\n199446,3,14252,10525,17979,25,19,31,FR,France\n199445,3,12152,8448,15856,21,15,27,FR,France\n199444,3,11307,7688,14926,20,14,26,FR,France\n199443,3,11254,8002,14506,20,14,26,FR,France\n199442,3,14406,10653,18159,25,18,32,FR,France\n199441,3,14073,10341,17805,24,18,30,FR,France\n199440,3,15962,11850,20074,28,21,35,FR,France\n199439,3,15878,11643,20113,28,21,35,FR,France\n199438,3,15366,11100,19632,27,20,34,FR,France\n199437,3,5949,3561,8337,10,6,14,FR,France\n199436,3,2806,1133,4479,5,2,8,FR,France\n199435,3,4556,2358,6754,8,4,12,FR,France\n199434,3,3459,1444,5474,6,2,10,FR,France\n199433,3,4272,977,7567,7,1,13,FR,France\n199432,3,4786,1613,7959,8,2,14,FR,France\n199431,3,5027,1580,8474,9,3,15,FR,France\n199430,3,2100,520,3680,4,1,7,FR,France\n199429,3,1188,0,2384,2,0,4,FR,France\n199428,3,1581,316,2846,3,1,5,FR,France\n199427,3,713,0,1459,1,0,2,FR,France\n199426,3,990,80,1900,2,0,4,FR,France\n199425,3,5431,3222,7640,9,5,13,FR,France\n199424,3,6288,3723,8853,11,7,15,FR,France\n199423,3,6440,1052,11828,11,2,20,FR,France\n199422,3,845,0,2449,1,0,4,FR,France\n199421,3,2197,395,3999,4,1,7,FR,France\n199420,3,2217,852,3582,4,2,6,FR,France\n199419,3,1483,406,2560,3,1,5,FR,France\n199418,3,3705,1940,5470,6,3,9,FR,France\n199417,3,2288,1064,3512,4,2,6,FR,France\n199416,3,5156,3176,7136,9,6,12,FR,France\n199415,3,6952,4678,9226,12,8,16,FR,France\n199414,3,4671,2784,6558,8,5,11,FR,France\n199413,3,3343,1641,5045,6,3,9,FR,France\n199412,3,4305,2412,6198,7,4,10,FR,France\n199411,3,5399,3327,7471,9,5,13,FR,France\n199410,3,4548,2529,6567,8,4,12,FR,France\n199409,3,5635,3251,8019,10,6,14,FR,France\n199408,3,9539,6652,12426,17,12,22,FR,France\n199407,3,14639,11188,18090,25,19,31,FR,France\n199406,3,17308,13395,21221,30,23,37,FR,France\n199405,3,18489,14290,22688,32,25,39,FR,France\n199404,3,23712,19048,28376,41,33,49,FR,France\n199403,3,29882,24817,34947,52,43,61,FR,France\n199402,3,47402,41415,53389,82,72,92,FR,France\n199401,3,118119,108182,128056,205,188,222,FR,France\n199352,3,233137,218608,247666,406,381,431,FR,France\n199351,3,377472,359792,395152,658,627,689,FR,France\n199350,3,627639,607097,648181,1094,1058,1130,FR,France\n199349,3,898045,873419,922671,1565,1522,1608,FR,France\n199348,3,527582,507752,547412,920,885,955,FR,France\n199347,3,241371,226769,255973,421,396,446,FR,France\n199346,3,76034,68003,84065,133,119,147,FR,France\n199345,3,32289,27022,37556,56,47,65,FR,France\n199344,3,17832,14015,21649,31,24,38,FR,France\n199343,3,15098,11333,18863,26,19,33,FR,France\n199342,3,19187,14893,23481,33,26,40,FR,France\n199341,3,18285,14384,22186,32,25,39,FR,France\n199340,3,13805,10348,17262,24,18,30,FR,France\n199339,3,14783,11173,18393,26,20,32,FR,France\n199338,3,10492,7329,13655,18,12,24,FR,France\n199337,3,7023,4503,9543,12,8,16,FR,France\n199336,3,4361,2445,6277,8,5,11,FR,France\n199335,3,5589,3066,8112,10,6,14,FR,France\n199334,3,2984,1209,4759,5,2,8,FR,France\n199333,3,3217,758,5676,6,2,10,FR,France\n199332,3,3755,1051,6459,7,2,12,FR,France\n199331,3,4163,1768,6558,7,3,11,FR,France\n199330,3,4055,1907,6203,7,3,11,FR,France\n199329,3,3714,1668,5760,6,2,10,FR,France\n199328,3,1774,484,3064,3,1,5,FR,France\n199327,3,2574,918,4230,4,1,7,FR,France\n199326,3,3048,1450,4646,5,2,8,FR,France\n199325,3,8348,5260,11436,15,10,20,FR,France\n199324,3,6624,3747,9501,12,7,17,FR,France\n199323,3,7424,4302,10546,13,8,18,FR,France\n199322,3,3432,1849,5015,6,3,9,FR,France\n199321,3,5942,3670,8214,10,6,14,FR,France\n199320,3,5137,3157,7117,9,6,12,FR,France\n199319,3,4593,2725,6461,8,5,11,FR,France\n199318,3,5027,3075,6979,9,6,12,FR,France\n199317,3,8111,5138,11084,14,9,19,FR,France\n199316,3,24932,19468,30396,43,33,53,FR,France\n199315,3,22181,17147,27215,39,30,48,FR,France\n199314,3,38266,30865,45667,67,54,80,FR,France\n199313,3,62987,54506,71468,110,95,125,FR,France\n199312,3,63493,55956,71030,111,98,124,FR,France\n199311,3,80548,72628,88468,140,126,154,FR,France\n199310,3,127910,117688,138132,223,205,241,FR,France\n199309,3,184150,171378,196922,321,299,343,FR,France\n199308,3,222932,209051,236813,389,365,413,FR,France\n199307,3,248494,234936,262052,433,409,457,FR,France\n199306,3,286939,271830,302048,500,474,526,FR,France\n199305,3,255890,241516,270264,446,421,471,FR,France\n199304,3,193107,181261,204953,337,316,358,FR,France\n199303,3,147854,137256,158452,258,240,276,FR,France\n199302,3,90269,82164,98374,157,143,171,FR,France\n199301,3,75288,67244,83332,131,117,145,FR,France\n199253,3,56622,49107,64137,99,86,112,FR,France\n199252,3,49588,42568,56608,87,75,99,FR,France\n199251,3,41156,35024,47288,72,61,83,FR,France\n199250,3,40100,34699,45501,70,61,79,FR,France\n199249,3,39146,33847,44445,69,60,78,FR,France\n199248,3,32392,27499,37285,57,48,66,FR,France\n199247,3,26276,21797,30755,46,38,54,FR,France\n199246,3,22758,18462,27054,40,32,48,FR,France\n199245,3,22023,17804,26242,39,32,46,FR,France\n199244,3,27619,22945,32293,48,40,56,FR,France\n199243,3,24969,20704,29234,44,37,51,FR,France\n199242,3,29980,25261,34699,52,44,60,FR,France\n199241,3,24091,19953,28229,42,35,49,FR,France\n199240,3,17593,13885,21301,31,25,37,FR,France\n199239,3,13535,10301,16769,24,18,30,FR,France\n199238,3,9837,7106,12568,17,12,22,FR,France\n199237,3,7480,5130,9830,13,9,17,FR,France\n199236,3,5155,2958,7352,9,5,13,FR,France\n199235,3,6383,3687,9079,11,6,16,FR,France\n199234,3,2953,922,4984,5,1,9,FR,France\n199233,3,4046,1549,6543,7,3,11,FR,France\n199232,3,4963,2215,7711,9,4,14,FR,France\n199231,3,4233,1733,6733,7,3,11,FR,France\n199230,3,3091,1145,5037,5,2,8,FR,France\n199229,3,3586,1583,5589,6,2,10,FR,France\n199228,3,4179,2133,6225,7,3,11,FR,France\n199227,3,5568,3134,8002,10,6,14,FR,France\n199226,3,5886,3229,8543,10,5,15,FR,France\n199225,3,5304,2805,7803,9,5,13,FR,France\n199224,3,5928,3482,8374,10,6,14,FR,France\n199223,3,3914,1855,5973,7,3,11,FR,France\n199222,3,4899,2641,7157,9,5,13,FR,France\n199221,3,5059,2889,7229,9,5,13,FR,France\n199220,3,4308,2226,6390,8,4,12,FR,France\n199219,3,2982,1181,4783,5,2,8,FR,France\n199218,3,3887,1777,5997,7,3,11,FR,France\n199217,3,3614,1216,6012,6,2,10,FR,France\n199216,3,5460,2934,7986,10,6,14,FR,France\n199215,3,8642,5029,12255,15,9,21,FR,France\n199214,3,11346,7536,15156,20,13,27,FR,France\n199213,3,11693,8096,15290,20,14,26,FR,France\n199212,3,11752,7834,15670,21,14,28,FR,France\n199211,3,11689,7575,15803,20,13,27,FR,France\n199210,3,19224,12971,25477,34,23,45,FR,France\n199209,3,26629,20275,32983,47,36,58,FR,France\n199208,3,37667,30887,44447,66,54,78,FR,France\n199207,3,57312,48777,65847,100,85,115,FR,France\n199206,3,112450,99989,124911,197,175,219,FR,France\n199205,3,165474,151342,179606,290,265,315,FR,France\n199204,3,147959,133595,162323,259,234,284,FR,France\n199203,3,137893,122944,152842,241,215,267,FR,France\n199202,3,185852,166558,205146,325,291,359,FR,France\n199201,3,247688,222574,272802,434,390,478,FR,France\n199152,3,349815,325499,374131,615,572,658,FR,France\n199151,3,378413,355928,400898,666,626,706,FR,France\n199150,3,198721,182878,214564,350,322,378,FR,France\n199149,3,93903,82992,104814,165,146,184,FR,France\n199148,3,45173,37384,52962,79,65,93,FR,France\n199147,3,35691,28224,43158,63,50,76,FR,France\n199146,3,23685,17531,29839,42,31,53,FR,France\n199145,3,19565,13551,25579,34,23,45,FR,France\n199144,3,21571,15477,27665,38,27,49,FR,France\n199143,3,28842,21958,35726,51,39,63,FR,France\n199142,3,27483,20385,34581,48,36,60,FR,France\n199141,3,28185,20655,35715,50,37,63,FR,France\n199140,3,26740,16049,37431,47,28,66,FR,France\n199139,3,14373,8734,20012,25,15,35,FR,France\n199138,3,7460,3700,11220,13,6,20,FR,France\n199137,3,2429,434,4424,4,0,8,FR,France\n199136,3,2380,0,4882,4,0,8,FR,France\n199135,3,2372,0,5025,4,0,9,FR,France\n199134,3,2099,0,5104,4,0,9,FR,France\n199133,3,1654,0,4102,3,0,7,FR,France\n199132,3,625,0,2190,1,0,4,FR,France\n199131,3,2464,0,5830,4,0,10,FR,France\n199130,3,2382,0,6857,4,0,12,FR,France\n199129,3,3837,40,7634,7,0,14,FR,France\n199128,3,3297,152,6442,6,0,12,FR,France\n199127,3,3164,934,5394,6,2,10,FR,France\n199126,3,6376,3324,9428,11,6,16,FR,France\n199125,3,8218,4776,11660,14,8,20,FR,France\n199124,3,8223,4660,11786,14,8,20,FR,France\n199123,3,6801,3596,10006,12,6,18,FR,France\n199122,3,6050,2682,9418,11,5,17,FR,France\n199121,3,6391,3385,9397,11,6,16,FR,France\n199120,3,8633,4683,12583,15,8,22,FR,France\n199119,3,7785,3986,11584,14,7,21,FR,France\n199118,3,10856,6457,15255,19,11,27,FR,France\n199117,3,15603,10950,20256,27,19,35,FR,France\n199116,3,15665,11184,20146,28,20,36,FR,France\n199115,3,15062,10715,19409,26,18,34,FR,France\n199114,3,27862,21583,34141,49,38,60,FR,France\n199113,3,32179,25829,38529,57,46,68,FR,France\n199112,3,27873,22312,33434,49,39,59,FR,France\n199111,3,46186,38876,53496,81,68,94,FR,France\n199110,3,88750,77784,99716,156,137,175,FR,France\n199109,3,139093,124326,153860,245,219,271,FR,France\n199108,3,216369,198630,234108,381,350,412,FR,France\n199107,3,208836,191789,225883,367,337,397,FR,France\n199106,3,134737,121280,148194,237,213,261,FR,France\n199105,3,73564,62716,84412,129,110,148,FR,France\n199104,3,48253,39031,57475,85,69,101,FR,France\n199103,3,29382,22258,36506,52,39,65,FR,France\n199102,3,29759,22044,37474,52,38,66,FR,France\n199101,3,42927,33706,52148,76,60,92,FR,France\n199052,3,41262,31607,50917,73,56,90,FR,France\n199051,3,46924,37544,56304,83,66,100,FR,France\n199050,3,44125,36137,52113,78,64,92,FR,France\n199049,3,38379,30603,46155,68,54,82,FR,France\n199048,3,29571,22315,36827,52,39,65,FR,France\n199047,3,23358,15890,30826,41,28,54,FR,France\n199046,3,20246,7930,32562,36,14,58,FR,France\n199045,3,17571,11591,23551,31,20,42,FR,France\n199044,3,16182,10305,22059,29,19,39,FR,France\n199043,3,17579,11588,23570,31,20,42,FR,France\n199042,3,13011,7875,18147,23,14,32,FR,France\n199041,3,19723,13330,26116,35,24,46,FR,France\n199040,3,20433,14614,26252,36,26,46,FR,France\n199039,3,15618,10315,20921,28,19,37,FR,France\n199038,3,11146,6197,16095,20,11,29,FR,France\n199037,3,4051,1022,7080,7,2,12,FR,France\n199036,3,2542,124,4960,4,0,8,FR,France\n199035,3,934,0,2681,2,0,5,FR,France\n199034,3,201,0,595,0,0,1,FR,France\n199033,3,0,0,0,0,0,0,FR,France\n199032,3,1399,0,3849,2,0,6,FR,France\n199031,3,881,0,2206,2,0,4,FR,France\n199030,3,425,0,1262,1,0,2,FR,France\n199029,3,1077,0,2643,2,0,5,FR,France\n199028,3,959,0,2252,2,0,4,FR,France\n199027,3,2948,793,5103,5,1,9,FR,France\n199026,3,7236,2651,11821,13,5,21,FR,France\n199025,3,7879,3136,12622,14,6,22,FR,France\n199024,3,5727,2460,8994,10,4,16,FR,France\n199023,3,3655,1043,6267,6,1,11,FR,France\n199022,3,4196,1292,7100,7,2,12,FR,France\n199021,3,1004,0,2367,2,0,4,FR,France\n199020,3,4506,1771,7241,8,3,13,FR,France\n199019,3,5897,2440,9354,10,4,16,FR,France\n199018,3,1738,141,3335,3,0,6,FR,France\n199017,3,5278,2197,8359,9,4,14,FR,France\n199016,3,8129,3754,12504,14,6,22,FR,France\n199015,3,11707,5831,17583,21,11,31,FR,France\n199014,3,12862,8177,17547,23,15,31,FR,France\n199013,3,21879,15088,28670,39,27,51,FR,France\n199012,3,17035,11135,22935,30,20,40,FR,France\n199011,3,20018,14311,25725,35,25,45,FR,France\n199010,3,16294,11045,21543,29,20,38,FR,France\n199009,3,21793,15460,28126,39,28,50,FR,France\n199008,3,26110,19342,32878,46,34,58,FR,France\n199007,3,61742,49720,73764,109,88,130,FR,France\n199006,3,399984,353345,446623,707,625,789,FR,France\n199005,3,161765,146354,177176,286,259,313,FR,France\n199004,3,287771,267698,307844,509,474,544,FR,France\n199003,3,315466,296550,334382,558,525,591,FR,France\n199002,3,345060,326087,364033,610,576,644,FR,France\n199001,3,483600,460913,506287,855,815,895,FR,France\n198952,3,581149,556023,606275,1035,990,1080,FR,France\n198951,3,821540,793846,849234,1463,1414,1512,FR,France\n198950,3,749283,723633,774933,1334,1288,1380,FR,France\n198949,3,358043,340053,376033,638,606,670,FR,France\n198948,3,119087,108253,129921,212,193,231,FR,France\n198947,3,40963,33897,48029,73,60,86,FR,France\n198946,3,23547,17952,29142,42,32,52,FR,France\n198945,3,22711,16999,28423,40,30,50,FR,France\n198944,3,23405,17475,29335,42,31,53,FR,France\n198943,3,29549,23287,35811,53,42,64,FR,France\n198942,3,39410,32172,46648,70,57,83,FR,France\n198941,3,43763,35245,52281,78,63,93,FR,France\n198940,3,31453,24288,38618,56,43,69,FR,France\n198939,3,24622,18425,30819,44,33,55,FR,France\n198938,3,18296,13483,23109,33,24,42,FR,France\n198937,3,12022,8082,15962,21,14,28,FR,France\n198936,3,4769,2299,7239,8,4,12,FR,France\n198935,3,4661,1696,7626,8,3,13,FR,France\n198934,3,6039,2185,9893,11,4,18,FR,France\n198933,3,7940,3858,12022,14,7,21,FR,France\n198932,3,7114,2361,11867,13,5,21,FR,France\n198931,3,2721,0,5478,5,0,10,FR,France\n198930,3,3168,561,5775,6,1,11,FR,France\n198929,3,3909,1504,6314,7,3,11,FR,France\n198928,3,1284,105,2463,2,0,4,FR,France\n198927,3,3641,1350,5932,6,2,10,FR,France\n198926,3,5753,2885,8621,10,5,15,FR,France\n198925,3,6299,3454,9144,11,6,16,FR,France\n198924,3,6337,3537,9137,11,6,16,FR,France\n198923,3,11779,7984,15574,21,14,28,FR,France\n198922,3,9104,4764,13444,16,8,24,FR,France\n198921,3,9554,4316,14792,17,8,26,FR,France\n198920,3,6093,1023,11163,11,2,20,FR,France\n198919,3,0,,,0,,,FR,France\n198918,3,13452,1365,25539,24,2,46,FR,France\n198917,3,10949,7147,14751,19,12,26,FR,France\n198916,3,10908,7494,14322,19,13,25,FR,France\n198915,3,9667,6209,13125,17,11,23,FR,France\n198914,3,15230,10469,19991,27,19,35,FR,France\n198913,3,10564,6767,14361,19,12,26,FR,France\n198912,3,13419,9542,17296,24,17,31,FR,France\n198911,3,16633,12140,21126,30,22,38,FR,France\n198910,3,12387,8750,16024,22,16,28,FR,France\n198909,3,12895,9183,16607,23,16,30,FR,France\n198908,3,19746,15258,24234,35,27,43,FR,France\n198907,3,27277,21760,32794,49,39,59,FR,France\n198906,3,47844,40320,55368,85,72,98,FR,France\n198905,3,52840,45665,60015,94,81,107,FR,France\n198904,3,54942,47750,62134,98,85,111,FR,France\n198903,3,66010,58065,73955,118,104,132,FR,France\n198902,3,112284,102003,122565,200,182,218,FR,France\n198901,3,202266,188305,216227,360,335,385,FR,France\n198852,3,467971,447033,488909,837,800,874,FR,France\n198851,3,872748,846468,899028,1562,1515,1609,FR,France\n198850,3,1001824,974799,1028849,1793,1745,1841,FR,France\n198849,3,966523,940068,992978,1729,1682,1776,FR,France\n198848,3,637811,614785,660837,1141,1100,1182,FR,France\n198847,3,246062,231234,260890,440,413,467,FR,France\n198846,3,92484,83160,101808,165,148,182,FR,France\n198845,3,53940,46148,61732,97,83,111,FR,France\n198844,3,42106,35336,48876,75,63,87,FR,France\n198843,3,38252,31909,44595,68,57,79,FR,France\n198842,3,45495,38467,52523,81,68,94,FR,France\n198841,3,46336,39344,53328,83,70,96,FR,France\n198840,3,39882,33507,46257,71,60,82,FR,France\n198839,3,43730,36755,50705,78,66,90,FR,France\n198838,3,35243,29367,41119,63,52,74,FR,France\n198837,3,15537,11911,19163,28,22,34,FR,France\n198836,3,7539,4840,10238,13,8,18,FR,France\n198835,3,7797,4762,10832,14,9,19,FR,France\n198834,3,4950,2005,7895,9,4,14,FR,France\n198833,3,7937,3861,12013,14,7,21,FR,France\n198832,3,7033,2595,11471,13,5,21,FR,France\n198831,3,8758,3591,13925,16,7,25,FR,France\n198830,3,4205,1224,7186,8,3,13,FR,France\n198829,3,6103,1013,11193,11,2,20,FR,France\n198828,3,8562,3483,13641,15,6,24,FR,France\n198827,3,4690,2196,7184,8,4,12,FR,France\n198826,3,7065,3905,10225,13,7,19,FR,France\n198825,3,7657,4664,10650,14,9,19,FR,France\n198824,3,6676,3978,9374,12,7,17,FR,France\n198823,3,8695,5755,11635,16,11,21,FR,France\n198822,3,11566,8282,14850,21,15,27,FR,France\n198821,3,11107,7742,14472,20,14,26,FR,France\n198820,3,14118,10223,18013,25,18,32,FR,France\n198819,3,18260,13847,22673,33,25,41,FR,France\n198818,3,20415,16281,24549,37,30,44,FR,France\n198817,3,21750,17436,26064,39,31,47,FR,France\n198816,3,33730,27496,39964,60,49,71,FR,France\n198815,3,70616,61754,79478,126,110,142,FR,France\n198814,3,123868,113211,134525,222,203,241,FR,France\n198813,3,193710,181519,205901,347,325,369,FR,France\n198812,3,283445,268834,298056,507,481,533,FR,France\n198811,3,316175,300858,331492,566,539,593,FR,France\n198810,3,235142,222004,248280,421,397,445,FR,France\n198809,3,135564,125263,145865,243,225,261,FR,France\n198808,3,87753,78449,97057,157,140,174,FR,France\n198807,3,77099,68423,85775,138,122,154,FR,France\n198806,3,69349,61502,77196,124,110,138,FR,France\n198805,3,72705,64952,80458,130,116,144,FR,France\n198804,3,72818,64944,80692,130,116,144,FR,France\n198803,3,68869,60922,76816,123,109,137,FR,France\n198802,3,59743,51907,67579,107,93,121,FR,France\n198801,3,60929,52573,69285,109,94,124,FR,France\n198753,3,47257,38170,56344,85,69,101,FR,France\n198752,3,11935,2353,21517,21,4,38,FR,France\n198751,3,47744,34266,61222,86,62,110,FR,France\n198750,3,57767,50181,65353,104,90,118,FR,France\n198749,3,49380,42461,56299,89,77,101,FR,France\n198748,3,41871,35115,48627,75,63,87,FR,France\n198747,3,29688,23465,35911,53,42,64,FR,France\n198746,3,37216,30199,44233,67,54,80,FR,France\n198745,3,35456,29024,41888,64,52,76,FR,France\n198744,3,41024,33829,48219,74,61,87,FR,France\n198743,3,46356,38370,54342,83,69,97,FR,France\n198742,3,38021,30236,45806,68,54,82,FR,France\n198741,3,42021,32016,52026,76,58,94,FR,France\n198740,3,24641,15930,33352,44,28,60,FR,France\n198739,3,32328,23548,41108,58,42,74,FR,France\n198738,3,16782,11870,21694,30,21,39,FR,France\n198737,3,11208,6542,15874,20,12,28,FR,France\n198736,3,7906,4014,11798,14,7,21,FR,France\n198735,3,6149,2970,9328,11,5,17,FR,France\n198734,3,6631,2734,10528,12,5,19,FR,France\n198733,3,6404,1834,10974,12,4,20,FR,France\n198732,3,7215,2353,12077,13,4,22,FR,France\n198731,3,8233,3655,12811,15,7,23,FR,France\n198730,3,4642,1301,7983,8,2,14,FR,France\n198729,3,4389,913,7865,8,2,14,FR,France\n198728,3,2702,138,5266,5,0,10,FR,France\n198727,3,10171,5904,14438,18,10,26,FR,France\n198726,3,12341,7824,16858,22,14,30,FR,France\n198725,3,23413,15490,31336,42,28,56,FR,France\n198724,3,11289,7282,15296,20,13,27,FR,France\n198723,3,15857,10943,20771,29,20,38,FR,France\n198722,3,14887,9743,20031,27,18,36,FR,France\n198721,3,17619,12649,22589,32,23,41,FR,France\n198720,3,10344,6454,14234,19,12,26,FR,France\n198719,3,12539,7943,17135,23,15,31,FR,France\n198718,3,16095,10330,21860,29,19,39,FR,France\n198717,3,21256,14850,27662,38,26,50,FR,France\n198716,3,32416,25100,39732,58,45,71,FR,France\n198715,3,44292,36456,52128,80,66,94,FR,France\n198714,3,50642,41866,59418,91,75,107,FR,France\n198713,3,62246,52749,71743,112,95,129,FR,France\n198712,3,59625,50653,68597,107,91,123,FR,France\n198711,3,53561,45035,62087,96,81,111,FR,France\n198710,3,93067,80519,105615,167,144,190,FR,France\n198709,3,147006,133519,160493,264,240,288,FR,France\n198708,3,217779,202179,233379,391,363,419,FR,France\n198707,3,288180,270718,305642,518,487,549,FR,France\n198706,3,296702,279051,314353,533,501,565,FR,France\n198705,3,236046,219483,252609,424,394,454,FR,France\n198704,3,158333,143625,173041,285,259,311,FR,France\n198703,3,103841,91699,115983,187,165,209,FR,France\n198702,3,74213,64014,84412,133,115,151,FR,France\n198701,3,69745,59207,80283,125,106,144,FR,France\n198652,3,76263,64958,87568,138,118,158,FR,France\n198651,3,72920,63047,82793,132,114,150,FR,France\n198650,3,73413,64019,82807,133,116,150,FR,France\n198649,3,56296,48229,64363,102,87,117,FR,France\n198648,3,46031,38578,53484,83,70,96,FR,France\n198647,3,36740,29710,43770,66,53,79,FR,France\n198646,3,32134,25327,38941,58,46,70,FR,France\n198645,3,38964,31382,46546,70,56,84,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rance\n198445,3,135223,101414,169032,246,184,308,FR,France\n198444,3,68422,20056,116788,125,37,213,FR,France\n'
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module3/data_9.csv 0 → 100644
View file @ e8e42a72
# @source="rseau Sentinelles, INSERM, Sorbonne Universit, http://www.sentiweb.fr", @meta={"period":[198444,202221],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2022-06-04T12:28:03+02:00
week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
202221,3,17538,12255,22821,26,18,34,FR,France
202220,3,20413,16271,24555,31,25,37,FR,France
202219,3,17874,14068,21680,27,21,33,FR,France
202218,3,30353,25089,35617,46,38,54,FR,France
202217,3,36006,30373,41639,54,46,62,FR,France
202216,3,49949,42836,57062,75,64,86,FR,France
202215,3,100806,90824,110788,152,137,167,FR,France
202214,3,155441,143891,166991,234,217,251,FR,France
202213,3,191914,179558,204270,289,270,308,FR,France
202212,3,166224,155035,177413,251,234,268,FR,France
202211,3,122849,113306,132392,185,171,199,FR,France
202210,3,87904,79741,96067,133,121,145,FR,France
202209,3,50182,43958,56406,76,67,85,FR,France
202208,3,30963,25942,35984,47,39,55,FR,France
202207,3,34882,29446,40318,53,45,61,FR,France
202206,3,46623,40398,52848,70,61,79,FR,France
202205,3,62970,56043,69897,95,85,105,FR,France
202204,3,72209,64804,79614,109,98,120,FR,France
202203,3,74613,67144,82082,113,102,124,FR,France
202202,3,55920,49511,62329,84,74,94,FR,France
202201,3,57629,50699,64559,87,77,97,FR,France
202152,3,54349,47029,61669,82,71,93,FR,France
202151,3,41698,35359,48037,63,53,73,FR,France
202150,3,38117,32497,43737,58,49,67,FR,France
202149,3,40168,34716,45620,61,53,69,FR,France
202148,3,41842,36364,47320,63,55,71,FR,France
202147,3,36598,31338,41858,55,47,63,FR,France
202146,3,30059,25302,34816,46,39,53,FR,France
202145,3,20364,16564,24164,31,25,37,FR,France
202144,3,18999,15042,22956,29,23,35,FR,France
202143,3,27040,21935,32145,41,33,49,FR,France
202142,3,28343,23382,33304,43,35,51,FR,France
202141,3,25043,20586,29500,38,31,45,FR,France
202140,3,26286,21842,30730,40,33,47,FR,France
202139,3,22155,18014,26296,34,28,40,FR,France
202138,3,15614,12310,18918,24,19,29,FR,France
202137,3,13673,10404,16942,21,16,26,FR,France
202136,3,10289,7505,13073,16,12,20,FR,France
202135,3,12609,9282,15936,19,14,24,FR,France
202134,3,13081,9540,16622,20,15,25,FR,France
202133,3,10392,7042,13742,16,11,21,FR,France
202132,3,15586,11009,20163,24,17,31,FR,France
202131,3,18855,13664,24046,29,21,37,FR,France
202130,3,13991,9695,18287,21,14,28,FR,France
202129,3,13626,9618,17634,21,15,27,FR,France
202128,3,8636,5430,11842,13,8,18,FR,France
202127,3,10693,6838,14548,16,10,22,FR,France
202126,3,7086,4109,10063,11,6,16,FR,France
202125,3,7942,5540,10344,12,8,16,FR,France
202124,3,4855,3011,6699,7,4,10,FR,France
202123,3,6710,4455,8965,10,7,13,FR,France
202122,3,7879,5495,10263,12,8,16,FR,France
202121,3,7827,5403,10251,12,8,16,FR,France
202120,3,10278,7540,13016,16,12,20,FR,France
202119,3,9539,6860,12218,14,10,18,FR,France
202118,3,12135,9165,15105,18,14,22,FR,France
202117,3,12058,8891,15225,18,13,23,FR,France
202116,3,16505,12735,20275,25,19,31,FR,France
202115,3,19306,15398,23214,29,23,35,FR,France
202114,3,21073,17099,25047,32,26,38,FR,France
202113,3,26413,22094,30732,40,33,47,FR,France
202112,3,30658,25919,35397,46,39,53,FR,France
202111,3,24988,20718,29258,38,32,44,FR,France
202110,3,19539,15951,23127,30,25,35,FR,France
202109,3,17572,13926,21218,27,21,33,FR,France
202108,3,20882,16907,24857,32,26,38,FR,France
202107,3,22393,18303,26483,34,28,40,FR,France
202106,3,23183,19134,27232,35,29,41,FR,France
202105,3,22426,18445,26407,34,28,40,FR,France
202104,3,25804,21491,30117,39,32,46,FR,France
202103,3,21810,17894,25726,33,27,39,FR,France
202102,3,17320,13906,20734,26,21,31,FR,France
202101,3,21799,17778,25820,33,27,39,FR,France
202053,3,21220,16498,25942,32,25,39,FR,France
202052,3,16428,12285,20571,25,19,31,FR,France
202051,3,21619,17370,25868,33,27,39,FR,France
202050,3,16845,13220,20470,26,20,32,FR,France
202049,3,12939,9923,15955,20,15,25,FR,France
202048,3,13804,10641,16967,21,16,26,FR,France
202047,3,19085,15285,22885,29,23,35,FR,France
202046,3,24801,20503,29099,38,31,45,FR,France
202045,3,42516,36857,48175,65,56,74,FR,France
202044,3,44567,38521,50613,68,59,77,FR,France
202043,3,43799,37581,50017,67,58,76,FR,France
202042,3,35183,29847,40519,53,45,61,FR,France
202041,3,27926,23251,32601,42,35,49,FR,France
202040,3,20443,16381,24505,31,25,37,FR,France
202039,3,19810,15900,23720,30,24,36,FR,France
202038,3,25559,21141,29977,39,32,46,FR,France
202037,3,18485,14649,22321,28,22,34,FR,France
202036,3,10390,7646,13134,16,12,20,FR,France
202035,3,9918,6842,12994,15,10,20,FR,France
202034,3,6084,3090,9078,9,4,14,FR,France
202033,3,6106,3411,8801,9,5,13,FR,France
202032,3,5918,3330,8506,9,5,13,FR,France
202031,3,4351,2269,6433,7,4,10,FR,France
202030,3,8179,5442,10916,12,8,16,FR,France
202029,3,8687,5860,11514,13,9,17,FR,France
202028,3,8325,5688,10962,13,9,17,FR,France
202027,3,4066,2406,5726,6,3,9,FR,France
202026,3,4039,2389,5689,6,3,9,FR,France
202025,3,2853,1488,4218,4,2,6,FR,France
202024,3,3058,1690,4426,5,3,7,FR,France
202023,3,4168,2468,5868,6,3,9,FR,France
202022,3,3580,1947,5213,5,3,7,FR,France
202021,3,6114,4026,8202,9,6,12,FR,France
202020,3,9315,6775,11855,14,10,18,FR,France
202019,3,11679,8722,14636,18,14,22,FR,France
202018,3,16398,12851,19945,25,20,30,FR,France
202017,3,18082,14454,21710,27,21,33,FR,France
202016,3,24165,19893,28437,37,31,43,FR,France
202015,3,41049,35377,46721,62,53,71,FR,France
202014,3,71666,64531,78801,109,98,120,FR,France
202013,3,107742,99187,116297,164,151,177,FR,France
202012,3,107283,98610,115956,163,150,176,FR,France
202011,3,112943,104468,121418,172,159,185,FR,France
202010,3,105145,96812,113478,160,147,173,FR,France
202009,3,110696,102066,119326,168,155,181,FR,France
202008,3,143753,133984,153522,218,203,233,FR,France
202007,3,183610,172812,194408,279,263,295,FR,France
202006,3,206669,195481,217857,314,297,331,FR,France
202005,3,187957,177445,198469,285,269,301,FR,France
202004,3,122331,113492,131170,186,173,199,FR,France
202003,3,78413,71330,85496,119,108,130,FR,France
202002,3,53614,47654,59574,81,72,90,FR,France
202001,3,36850,31608,42092,56,48,64,FR,France
201952,3,28135,23220,33050,43,36,50,FR,France
201951,3,29786,25042,34530,45,38,52,FR,France
201950,3,34223,29156,39290,52,44,60,FR,France
201949,3,25662,21414,29910,39,33,45,FR,France
201948,3,22367,18055,26679,34,27,41,FR,France
201947,3,18669,14759,22579,28,22,34,FR,France
201946,3,16030,12567,19493,24,19,29,FR,France
201945,3,10138,7160,13116,15,10,20,FR,France
201944,3,7822,5010,10634,12,8,16,FR,France
201943,3,9487,6448,12526,14,9,19,FR,France
201942,3,7747,5243,10251,12,8,16,FR,France
201941,3,7122,4720,9524,11,7,15,FR,France
201940,3,8505,5784,11226,13,9,17,FR,France
201939,3,7091,4462,9720,11,7,15,FR,France
201938,3,4897,2891,6903,7,4,10,FR,France
201937,3,3172,1367,4977,5,2,8,FR,France
201936,3,2295,728,3862,3,1,5,FR,France
201935,3,1010,2,2018,2,0,4,FR,France
201934,3,1672,279,3065,3,1,5,FR,France
201933,3,1593,68,3118,2,0,4,FR,France
201932,3,1592,71,3113,2,0,4,FR,France
201931,3,2337,695,3979,4,2,6,FR,France
201930,3,1944,415,3473,3,1,5,FR,France
201929,3,2096,420,3772,3,0,6,FR,France
201928,3,1195,125,2265,2,0,4,FR,France
201927,3,2466,848,4084,4,2,6,FR,France
201926,3,1798,402,3194,3,1,5,FR,France
201925,3,1544,389,2699,2,0,4,FR,France
201924,3,876,17,1735,1,0,2,FR,France
201923,3,2004,748,3260,3,1,5,FR,France
201922,3,2181,602,3760,3,1,5,FR,France
201921,3,2585,1102,4068,4,2,6,FR,France
201920,3,2891,1202,4580,4,1,7,FR,France
201919,3,3221,1509,4933,5,2,8,FR,France
201918,3,1385,278,2492,2,0,4,FR,France
201917,3,3166,1348,4984,5,2,8,FR,France
201916,3,3842,1973,5711,6,3,9,FR,France
201915,3,5932,3669,8195,9,6,12,FR,France
201914,3,12675,9167,16183,19,14,24,FR,France
201913,3,16513,12530,20496,25,19,31,FR,France
201912,3,22184,17786,26582,34,27,41,FR,France
201911,3,31553,26556,36550,48,40,56,FR,France
201910,3,49742,43268,56216,76,66,86,FR,France
201909,3,88354,79564,97144,134,121,147,FR,France
201908,3,172604,160024,185184,262,243,281,FR,France
201907,3,307338,291220,323456,467,443,491,FR,France
201906,3,394286,376782,411790,599,572,626,FR,France
201905,3,355785,339295,372275,540,515,565,FR,France
201904,3,241090,227261,254919,366,345,387,FR,France
201903,3,147063,135890,158236,223,206,240,FR,France
201902,3,75548,67632,83464,115,103,127,FR,France
201901,3,50295,43525,57065,76,66,86,FR,France
201852,3,37903,31375,44431,58,48,68,FR,France
201851,3,39259,32977,45541,60,50,70,FR,France
201850,3,27781,22638,32924,42,34,50,FR,France
201849,3,19738,15481,23995,30,24,36,FR,France
201848,3,19501,15275,23727,30,24,36,FR,France
201847,3,15949,12105,19793,24,18,30,FR,France
201846,3,11278,7957,14599,17,12,22,FR,France
201845,3,11065,7791,14339,17,12,22,FR,France
201844,3,6586,3875,9297,10,6,14,FR,France
201843,3,6550,3988,9112,10,6,14,FR,France
201842,3,7787,5129,10445,12,8,16,FR,France
201841,3,8048,5098,10998,12,8,16,FR,France
201840,3,7409,4717,10101,11,7,15,FR,France
201839,3,7174,4235,10113,11,7,15,FR,France
201838,3,7349,4399,10299,11,7,15,FR,France
201837,3,4915,2386,7444,7,3,11,FR,France
201836,3,3215,1349,5081,5,2,8,FR,France
201835,3,1506,239,2773,2,0,4,FR,France
201834,3,1368,116,2620,2,0,4,FR,France
201833,3,1962,5,3919,3,0,6,FR,France
201832,3,1839,183,3495,3,0,6,FR,France
201831,3,2048,242,3854,3,0,6,FR,France
201830,3,1951,202,3700,3,0,6,FR,France
201829,3,1951,252,3650,3,0,6,FR,France
201828,3,1654,52,3256,3,1,5,FR,France
201827,3,3266,1145,5387,5,2,8,FR,France
201826,3,3758,1493,6023,6,3,9,FR,France
201825,3,4580,2220,6940,7,3,11,FR,France
201824,3,3223,1351,5095,5,2,8,FR,France
201823,3,1207,136,2278,2,0,4,FR,France
201822,3,3202,1330,5074,5,2,8,FR,France
201821,3,2537,763,4311,4,1,7,FR,France
201820,3,2694,967,4421,4,1,7,FR,France
201819,3,1025,0,2098,2,0,4,FR,France
201818,3,3541,1416,5666,5,2,8,FR,France
201817,3,2573,1003,4143,4,2,6,FR,France
201816,3,4818,2724,6912,7,4,10,FR,France
201815,3,16311,12168,20454,25,19,31,FR,France
201814,3,22666,18092,27240,35,28,42,FR,France
201813,3,32680,25536,39824,50,39,61,FR,France
201812,3,52040,44590,59490,79,68,90,FR,France
201811,3,65159,56506,73812,99,86,112,FR,France
201810,3,93512,83989,103035,142,128,156,FR,France
201809,3,108545,98645,118445,165,150,180,FR,France
201808,3,131870,120950,142790,201,184,218,FR,France
201807,3,141138,130177,152099,215,198,232,FR,France
201806,3,138810,128164,149456,211,195,227,FR,France
201805,3,157839,146646,169032,240,223,257,FR,France
201804,3,175483,163835,187131,267,249,285,FR,France
201803,3,178329,166640,190018,271,253,289,FR,France
201802,3,198079,185663,210495,302,283,321,FR,France
201801,3,235493,220941,250045,358,336,380,FR,France
201752,3,299114,279359,318869,459,429,489,FR,France
201751,3,229448,214366,244530,352,329,375,FR,France
201750,3,129535,118787,140283,199,183,215,FR,France
201749,3,63789,56120,71458,98,86,110,FR,France
201748,3,37568,31541,43595,58,49,67,FR,France
201747,3,24972,19923,30021,38,30,46,FR,France
201746,3,13398,9948,16848,21,16,26,FR,France
201745,3,14035,8091,19979,22,13,31,FR,France
201744,3,8544,5318,11770,13,8,18,FR,France
201743,3,7300,4402,10198,11,7,15,FR,France
201742,3,9966,6503,13429,15,10,20,FR,France
201741,3,12434,8718,16150,19,13,25,FR,France
201740,3,12725,8690,16760,20,14,26,FR,France
201739,3,14949,10534,19364,23,16,30,FR,France
201738,3,11463,7438,15488,18,12,24,FR,France
201737,3,9716,6364,13068,15,10,20,FR,France
201736,3,2815,917,4713,4,1,7,FR,France
201735,3,2794,850,4738,4,1,7,FR,France
201734,3,2497,879,4115,4,2,6,FR,France
201733,3,2406,766,4046,4,1,7,FR,France
201732,3,2667,879,4455,4,1,7,FR,France
201731,3,3256,1158,5354,5,2,8,FR,France
201730,3,3759,1299,6219,6,2,10,FR,France
201729,3,5014,1989,8039,8,3,13,FR,France
201728,3,5271,2576,7966,8,4,12,FR,France
201727,3,3924,1432,6416,6,2,10,FR,France
201726,3,3171,1166,5176,5,2,8,FR,France
201725,3,837,0,1721,1,0,2,FR,France
201724,3,1566,248,2884,2,0,4,FR,France
201723,3,1664,203,3125,3,1,5,FR,France
201722,3,1305,92,2518,2,0,4,FR,France
201721,3,971,0,2046,1,0,3,FR,France
201720,3,2686,793,4579,4,1,7,FR,France
201719,3,3461,1490,5432,5,2,8,FR,France
201718,3,2102,515,3689,3,1,5,FR,France
201717,3,2071,428,3714,3,0,6,FR,France
201716,3,1380,222,2538,2,0,4,FR,France
201715,3,479,0,1242,1,0,2,FR,France
201714,3,1110,0,2549,2,0,4,FR,France
201713,3,7594,3808,11380,12,6,18,FR,France
201712,3,8780,4834,12726,13,7,19,FR,France
201711,3,7814,4329,11299,12,7,17,FR,France
201710,3,11802,7964,15640,18,12,24,FR,France
201709,3,13111,9099,17123,20,14,26,FR,France
201708,3,29545,23136,35954,45,35,55,FR,France
201707,3,59590,49764,69416,91,76,106,FR,France
201706,3,93628,82560,104696,144,127,161,FR,France
201705,3,193677,179255,208099,297,275,319,FR,France
201704,3,256428,240618,272238,394,370,418,FR,France
201703,3,267276,251345,283207,410,386,434,FR,France
201702,3,260588,245070,276106,400,376,424,FR,France
201701,3,255535,239743,271327,392,368,416,FR,France
201652,3,224489,207799,241179,345,319,371,FR,France
201651,3,187704,172655,202753,288,265,311,FR,France
201650,3,126570,115081,138059,194,176,212,FR,France
201649,3,76390,67374,85406,117,103,131,FR,France
201648,3,40502,33949,47055,62,52,72,FR,France
201647,3,22270,17612,26928,34,27,41,FR,France
201646,3,20816,16125,25507,32,25,39,FR,France
201645,3,15957,11448,20466,24,17,31,FR,France
201644,3,15145,10357,19933,23,16,30,FR,France
201643,3,9378,5830,12926,14,9,19,FR,France
201642,3,12920,9044,16796,20,14,26,FR,France
201641,3,13909,9709,18109,21,15,27,FR,France
201640,3,13379,8969,17789,21,14,28,FR,France
201639,3,10598,6814,14382,16,10,22,FR,France
201638,3,5969,3073,8865,9,5,13,FR,France
201637,3,4065,1538,6592,6,2,10,FR,France
201636,3,2372,473,4271,4,1,7,FR,France
201635,3,3420,1350,5490,5,2,8,FR,France
201634,3,2233,0,4643,3,0,7,FR,France
201633,3,1567,0,3938,2,0,6,FR,France
201632,3,2100,93,4107,3,0,6,FR,France
201631,3,3691,0,9120,6,0,14,FR,France
201630,3,3209,644,5774,5,1,9,FR,France
201629,3,1469,0,3073,2,0,4,FR,France
201628,3,2725,357,5093,4,0,8,FR,France
201627,3,5905,2343,9467,9,4,14,FR,France
201626,3,4186,1636,6736,6,2,10,FR,France
201625,3,4611,1560,7662,7,2,12,FR,France
201624,3,4977,2404,7550,8,4,12,FR,France
201623,3,4893,2416,7370,8,4,12,FR,France
201622,3,5667,3015,8319,9,5,13,FR,France
201621,3,5603,2475,8731,9,4,14,FR,France
201620,3,3908,1679,6137,6,3,9,FR,France
201619,3,4738,2308,7168,7,3,11,FR,France
201618,3,8204,4394,12014,13,7,19,FR,France
201617,3,13385,8822,17948,21,14,28,FR,France
201616,3,25670,19632,31708,39,30,48,FR,France
201615,3,48441,39824,57058,74,61,87,FR,France
201614,3,92603,81261,103945,142,125,159,FR,France
201613,3,170654,156387,184921,262,240,284,FR,France
201612,3,272174,254338,290010,418,391,445,FR,France
201611,3,304543,286453,322633,467,439,495,FR,France
201610,3,261822,245799,277845,402,377,427,FR,France
201609,3,229943,214533,245353,353,329,377,FR,France
201608,3,195067,180874,209260,299,277,321,FR,France
201607,3,207359,193223,221495,318,296,340,FR,France
201606,3,196143,182672,209614,301,280,322,FR,France
201605,3,178963,166296,191630,275,256,294,FR,France
201604,3,148473,136591,160355,228,210,246,FR,France
201603,3,75277,66630,83924,116,103,129,FR,France
201602,3,44617,37821,51413,68,58,78,FR,France
201601,3,42263,35556,48970,65,55,75,FR,France
201553,3,24835,19106,30564,38,29,47,FR,France
201552,3,19495,14319,24671,30,22,38,FR,France
201551,3,29080,23014,35146,45,36,54,FR,France
201550,3,25043,19812,30274,39,31,47,FR,France
201549,3,21479,16686,26272,33,26,40,FR,France
201548,3,16428,12273,20583,25,19,31,FR,France
201547,3,14959,10856,19062,23,17,29,FR,France
201546,3,12599,8237,16961,20,13,27,FR,France
201545,3,13577,9192,17962,21,14,28,FR,France
201544,3,14596,10025,19167,23,16,30,FR,France
201543,3,16749,11745,21753,26,18,34,FR,France
201542,3,18675,13613,23737,29,21,37,FR,France
201541,3,13585,9830,17340,21,15,27,FR,France
201540,3,13100,9349,16851,20,14,26,FR,France
201539,3,8595,5671,11519,13,8,18,FR,France
201538,3,8402,4929,11875,13,8,18,FR,France
201537,3,8817,4089,13545,14,7,21,FR,France
201536,3,1922,440,3404,3,1,5,FR,France
201535,3,229,0,644,0,0,1,FR,France
201534,3,760,0,1618,1,0,2,FR,France
201533,3,1537,208,2866,2,0,4,FR,France
201532,3,1594,66,3122,2,0,4,FR,France
201531,3,2845,475,5215,4,0,8,FR,France
201530,3,2447,353,4541,4,1,7,FR,France
201529,3,2389,332,4446,4,1,7,FR,France
201528,3,2089,105,4073,3,0,6,FR,France
201527,3,2257,393,4121,3,0,6,FR,France
201526,3,2536,774,4298,4,1,7,FR,France
201525,3,2607,680,4534,4,1,7,FR,France
201524,3,2849,1000,4698,4,1,7,FR,France
201523,3,2702,857,4547,4,1,7,FR,France
201522,3,4262,1989,6535,7,3,11,FR,France
201521,3,5547,2875,8219,9,5,13,FR,France
201520,3,4594,2040,7148,7,3,11,FR,France
201519,3,6307,3256,9358,10,5,15,FR,France
201518,3,3664,1544,5784,6,3,9,FR,France
201517,3,6382,3523,9241,10,6,14,FR,France
201516,3,12098,7913,16283,19,13,25,FR,France
201515,3,19458,14192,24724,30,22,38,FR,France
201514,3,30940,24617,37263,48,38,58,FR,France
201513,3,49563,41986,57140,77,65,89,FR,France
201512,3,70024,61079,78969,109,95,123,FR,France
201511,3,99295,88838,109752,154,138,170,FR,France
201510,3,143931,131682,156180,223,204,242,FR,France
201509,3,238947,222902,254992,370,345,395,FR,France
201508,3,409972,388670,431274,635,602,668,FR,France
201507,3,517750,494301,541199,802,766,838,FR,France
201506,3,533317,510627,556007,827,792,862,FR,France
201505,3,457911,436964,478858,710,678,742,FR,France
201504,3,292161,275491,308831,453,427,479,FR,France
201503,3,153931,141290,166572,239,219,259,FR,France
201502,3,104096,93358,114834,161,144,178,FR,France
201501,3,70962,60505,81419,110,94,126,FR,France
201452,3,63168,52705,73631,98,82,114,FR,France
201451,3,45346,38002,52690,71,60,82,FR,France
201450,3,42182,35049,49315,66,55,77,FR,France
201449,3,33537,27281,39793,52,42,62,FR,France
201448,3,28156,21896,34416,44,34,54,FR,France
201447,3,18158,13186,23130,28,20,36,FR,France
201446,3,14764,10174,19354,23,16,30,FR,France
201445,3,16172,11449,20895,25,18,32,FR,France
201444,3,15500,10464,20536,24,16,32,FR,France
201443,3,16011,10653,21369,25,17,33,FR,France
201442,3,21651,15828,27474,34,25,43,FR,France
201441,3,22486,16295,28677,35,25,45,FR,France
201440,3,16526,11583,21469,26,18,34,FR,France
201439,3,8583,5054,12112,13,8,18,FR,France
201438,3,10567,6496,14638,16,10,22,FR,France
201437,3,7714,3780,11648,12,6,18,FR,France
201436,3,5018,1949,8087,8,3,13,FR,France
201435,3,2268,355,4181,4,1,7,FR,France
201434,3,2367,250,4484,4,1,7,FR,France
201433,3,2358,0,4875,4,0,8,FR,France
201432,3,3229,447,6011,5,1,9,FR,France
201431,3,4143,349,7937,6,0,12,FR,France
201430,3,4631,902,8360,7,1,13,FR,France
201429,3,5122,1258,8986,8,2,14,FR,France
201428,3,4145,1200,7090,6,1,11,FR,France
201427,3,4823,1997,7649,8,4,12,FR,France
201426,3,3858,1235,6481,6,2,10,FR,France
201425,3,4564,1276,7852,7,2,12,FR,France
201424,3,2007,249,3765,3,0,6,FR,France
201423,3,5164,1853,8475,8,3,13,FR,France
201422,3,6907,1856,11958,11,3,19,FR,France
201421,3,4523,1039,8007,7,2,12,FR,France
201420,3,5881,2432,9330,9,4,14,FR,France
201419,3,3588,1277,5899,6,2,10,FR,France
201418,3,4708,1654,7762,7,2,12,FR,France
201417,3,2989,625,5353,5,1,9,FR,France
201416,3,7057,3381,10733,11,5,17,FR,France
201415,3,10800,6762,14838,17,11,23,FR,France
201414,3,19217,13490,24944,30,21,39,FR,France
201413,3,21577,15435,27719,34,24,44,FR,France
201412,3,23524,17260,29788,37,27,47,FR,France
201411,3,44513,35939,53087,69,56,82,FR,France
201410,3,86105,73497,98713,134,114,154,FR,France
201409,3,147035,131889,162181,229,205,253,FR,France
201408,3,188419,171950,204888,293,267,319,FR,France
201407,3,208726,191283,226169,325,298,352,FR,France
201406,3,160403,145280,175526,250,226,274,FR,France
201405,3,120261,107176,133346,187,167,207,FR,France
201404,3,85280,74414,96146,133,116,150,FR,France
201403,3,64159,54089,74229,100,84,116,FR,France
201402,3,46850,38202,55498,73,60,86,FR,France
201401,3,35624,27451,43797,55,42,68,FR,France
201352,3,30142,22721,37563,47,35,59,FR,France
201351,3,29787,23215,36359,47,37,57,FR,France
201350,3,24055,18214,29896,38,29,47,FR,France
201349,3,18071,13058,23084,28,20,36,FR,France
201348,3,17606,12195,23017,28,20,36,FR,France
201347,3,22636,16343,28929,35,25,45,FR,France
201346,3,13340,8367,18313,21,13,29,FR,France
201345,3,10596,6057,15135,17,10,24,FR,France
201344,3,10193,5622,14764,16,9,23,FR,France
201343,3,15780,9497,22063,25,15,35,FR,France
201342,3,14830,9545,20115,23,15,31,FR,France
201341,3,12391,7265,17517,19,11,27,FR,France
201340,3,9794,5140,14448,15,8,22,FR,France
201339,3,5371,1704,9038,8,2,14,FR,France
201338,3,9324,4198,14450,15,7,23,FR,France
201337,3,5027,1752,8302,8,3,13,FR,France
201336,3,4639,1425,7853,7,2,12,FR,France
201335,3,1291,0,3112,2,0,5,FR,France
201334,3,1889,0,4912,3,0,8,FR,France
201333,3,4740,348,9132,7,0,14,FR,France
201332,3,4709,549,8869,7,0,14,FR,France
201331,3,2270,0,5811,4,0,10,FR,France
201330,3,2169,0,4630,3,0,7,FR,France
201329,3,1696,0,3558,3,0,6,FR,France
201328,3,983,0,2168,2,0,4,FR,France
201327,3,4278,1327,7229,7,2,12,FR,France
201326,3,3488,839,6137,5,1,9,FR,France
201325,3,2735,0,5826,4,0,9,FR,France
201324,3,7245,2997,11493,11,4,18,FR,France
201323,3,16094,8918,23270,25,14,36,FR,France
201322,3,7245,2923,11567,11,4,18,FR,France
201321,3,5974,2401,9547,9,3,15,FR,France
201320,3,3831,1245,6417,6,2,10,FR,France
201319,3,1166,0,2680,2,0,4,FR,France
201318,3,3415,757,6073,5,1,9,FR,France
201317,3,7941,2950,12932,12,4,20,FR,France
201316,3,9520,4758,14282,15,8,22,FR,France
201315,3,19357,13311,25403,30,21,39,FR,France
201314,3,36855,27737,45973,58,44,72,FR,France
201313,3,43236,34048,52424,68,54,82,FR,France
201312,3,60822,50414,71230,95,79,111,FR,France
201311,3,84308,72456,96160,132,113,151,FR,France
201310,3,165558,148471,182645,259,232,286,FR,France
201309,3,259984,239067,280901,407,374,440,FR,France
201308,3,351626,327537,375715,550,512,588,FR,France
201307,3,470076,443682,496470,736,695,777,FR,France
201306,3,471647,445112,498182,738,696,780,FR,France
201305,3,492026,464729,519323,770,727,813,FR,France
201304,3,391525,367182,415868,613,575,651,FR,France
201303,3,224661,207134,242188,352,325,379,FR,France
201302,3,184159,168343,199975,288,263,313,FR,France
201301,3,163491,147340,179642,256,231,281,FR,France
201252,3,159290,141978,176602,251,224,278,FR,France
201251,3,113901,99835,127967,179,157,201,FR,France
201250,3,79918,68086,91750,126,107,145,FR,France
201249,3,47537,38711,56363,75,61,89,FR,France
201248,3,43006,32863,53149,68,52,84,FR,France
201247,3,39223,29140,49306,62,46,78,FR,France
201246,3,26436,18286,34586,42,29,55,FR,France
201245,3,18893,12799,24987,30,20,40,FR,France
201244,3,13106,8784,17428,21,14,28,FR,France
201243,3,17791,11284,24298,28,18,38,FR,France
201242,3,13096,8369,17823,21,14,28,FR,France
201241,3,18675,12010,25340,29,19,39,FR,France
201240,3,17873,11545,24201,28,18,38,FR,France
201239,3,20257,14180,26334,32,22,42,FR,France
201238,3,14715,9178,20252,23,14,32,FR,France
201237,3,7775,3509,12041,12,5,19,FR,France
201236,3,6384,2420,10348,10,4,16,FR,France
201235,3,8277,2206,14348,13,3,23,FR,France
201234,3,3858,0,8641,6,0,14,FR,France
201233,3,6492,840,12144,10,1,19,FR,France
201232,3,6381,0,14034,10,0,22,FR,France
201231,3,2696,0,5763,4,0,9,FR,France
201230,3,1834,0,4194,3,0,7,FR,France
201229,3,6329,1424,11234,10,2,18,FR,France
201228,3,4628,1091,8165,7,1,13,FR,France
201227,3,4162,1487,6837,7,3,11,FR,France
201226,3,4819,1097,8541,8,2,14,FR,France
201225,3,2669,530,4808,4,1,7,FR,France
201224,3,5977,2335,9619,9,3,15,FR,France
201223,3,2361,576,4146,4,1,7,FR,France
201222,3,5772,2435,9109,9,4,14,FR,France
201221,3,3722,821,6623,6,1,11,FR,France
201220,3,2731,897,4565,4,1,7,FR,France
201219,3,3267,1317,5217,5,2,8,FR,France
201218,3,2328,569,4087,4,1,7,FR,France
201217,3,6982,2701,11263,11,4,18,FR,France
201216,3,11455,6874,16036,18,11,25,FR,France
201215,3,20437,13435,27439,32,21,43,FR,France
201214,3,36740,27799,45681,58,44,72,FR,France
201213,3,62917,50171,75663,99,79,119,FR,France
201212,3,84738,71566,97910,133,112,154,FR,France
201211,3,128945,113778,144112,203,179,227,FR,France
201210,3,174704,157337,192071,275,248,302,FR,France
201209,3,225648,206810,244486,355,325,385,FR,France
201208,3,287293,264901,309685,452,417,487,FR,France
201207,3,263557,242711,284403,415,382,448,FR,France
201206,3,175123,158942,191304,276,251,301,FR,France
201205,3,106110,92524,119696,167,146,188,FR,France
201204,3,67778,56784,78772,107,90,124,FR,France
201203,3,49440,40981,57899,78,65,91,FR,France
201202,3,40507,32652,48362,64,52,76,FR,France
201201,3,45104,35640,54568,71,56,86,FR,France
201152,3,36532,28367,44697,58,45,71,FR,France
201151,3,25835,19002,32668,41,30,52,FR,France
201150,3,24155,18145,30165,38,28,48,FR,France
201149,3,27209,20376,34042,43,32,54,FR,France
201148,3,32358,24451,40265,51,38,64,FR,France
201147,3,17627,11780,23474,28,19,37,FR,France
201146,3,22368,15730,29006,35,24,46,FR,France
201145,3,18104,11995,24213,29,19,39,FR,France
201144,3,14050,8471,19629,22,13,31,FR,France
201143,3,21522,14251,28793,34,22,46,FR,France
201142,3,16932,11363,22501,27,18,36,FR,France
201141,3,7486,4024,10948,12,7,17,FR,France
201140,3,14053,8659,19447,22,13,31,FR,France
201139,3,17021,11062,22980,27,18,36,FR,France
201138,3,14007,8465,19549,22,13,31,FR,France
201137,3,8365,4174,12556,13,6,20,FR,France
201136,3,4606,1714,7498,7,2,12,FR,France
201135,3,4178,1634,6722,7,3,11,FR,France
201134,3,3312,683,5941,5,1,9,FR,France
201133,3,2421,0,5277,4,0,9,FR,France
201132,3,2590,119,5061,4,0,8,FR,France
201131,3,2409,320,4498,4,1,7,FR,France
201130,3,3972,1395,6549,6,2,10,FR,France
201129,3,2265,717,3813,4,2,6,FR,France
201128,3,1977,255,3699,3,0,6,FR,France
201127,3,3524,551,6497,6,1,11,FR,France
201126,3,1155,0,2685,2,0,4,FR,France
201125,3,3791,1006,6576,6,2,10,FR,France
201124,3,3507,1149,5865,6,2,10,FR,France
201123,3,3406,1170,5642,5,1,9,FR,France
201122,3,3122,1125,5119,5,2,8,FR,France
201121,3,2694,769,4619,4,1,7,FR,France
201120,3,3951,1443,6459,6,2,10,FR,France
201119,3,5416,1995,8837,9,4,14,FR,France
201118,3,5306,1815,8797,8,2,14,FR,France
201117,3,2659,310,5008,4,0,8,FR,France
201116,3,5061,1988,8134,8,3,13,FR,France
201115,3,6557,3038,10076,10,4,16,FR,France
201114,3,7352,3784,10920,12,6,18,FR,France
201113,3,8749,5213,12285,14,8,20,FR,France
201112,3,12491,7845,17137,20,13,27,FR,France
201111,3,14619,10009,19229,23,16,30,FR,France
201110,3,33628,26073,41183,53,41,65,FR,France
201109,3,54522,46057,62987,86,73,99,FR,France
201108,3,78392,67885,88899,124,107,141,FR,France
201107,3,149219,134798,163640,236,213,259,FR,France
201106,3,216579,200236,232922,343,317,369,FR,France
201105,3,278192,260235,296149,440,412,468,FR,France
201104,3,278218,259626,296810,440,411,469,FR,France
201103,3,275882,257313,294451,437,408,466,FR,France
201102,3,308949,288320,329578,489,456,522,FR,France
201101,3,309933,288190,331676,490,456,524,FR,France
201052,3,228105,208046,248164,363,331,395,FR,France
201051,3,158957,142576,175338,253,227,279,FR,France
201050,3,104874,91639,118109,167,146,188,FR,France
201049,3,54971,46418,63524,88,74,102,FR,France
201048,3,36982,29304,44660,59,47,71,FR,France
201047,3,26598,20123,33073,42,32,52,FR,France
201046,3,15465,10915,20015,25,18,32,FR,France
201045,3,9040,5772,12308,14,9,19,FR,France
201044,3,15833,10255,21411,25,16,34,FR,France
201043,3,16002,11001,21003,25,17,33,FR,France
201042,3,18709,13376,24042,30,22,38,FR,France
201041,3,17352,12182,22522,28,20,36,FR,France
201040,3,18331,12824,23838,29,20,38,FR,France
201039,3,11978,7913,16043,19,13,25,FR,France
201038,3,8936,4906,12966,14,8,20,FR,France
201037,3,5318,2551,8085,8,4,12,FR,France
201036,3,4954,2058,7850,8,3,13,FR,France
201035,3,4279,1604,6954,7,3,11,FR,France
201034,3,4926,566,9286,8,1,15,FR,France
201033,3,2950,0,6507,5,0,11,FR,France
201032,3,671,0,1522,1,0,2,FR,France
201031,3,2732,509,4955,4,0,8,FR,France
201030,3,3989,1068,6910,6,1,11,FR,France
201029,3,4123,1531,6715,7,3,11,FR,France
201028,3,1209,0,2640,2,0,4,FR,France
201027,3,2494,433,4555,4,1,7,FR,France
201026,3,5808,2454,9162,9,4,14,FR,France
201025,3,8019,4395,11643,13,7,19,FR,France
201024,3,3584,1657,5511,6,3,9,FR,France
201023,3,4016,1905,6127,6,3,9,FR,France
201022,3,6251,3664,8838,10,6,14,FR,France
201021,3,3860,1636,6084,6,2,10,FR,France
201020,3,2470,442,4498,4,1,7,FR,France
201019,3,2273,636,3910,4,1,7,FR,France
201018,3,4095,1639,6551,7,3,11,FR,France
201017,3,2216,817,3615,4,2,6,FR,France
201016,3,3471,1085,5857,6,2,10,FR,France
201015,3,3990,1376,6604,6,2,10,FR,France
201014,3,6188,3191,9185,10,5,15,FR,France
201013,3,6705,3665,9745,11,6,16,FR,France
201012,3,6727,3582,9872,11,6,16,FR,France
201011,3,8692,5002,12382,14,8,20,FR,France
201010,3,8844,5465,12223,14,9,19,FR,France
201009,3,12081,7334,16828,19,11,27,FR,France
201008,3,15433,10422,20444,25,17,33,FR,France
201007,3,19690,11728,27652,31,18,44,FR,France
201006,3,27858,18883,36833,44,30,58,FR,France
201005,3,22197,17019,27375,35,27,43,FR,France
201004,3,33817,26151,41483,54,42,66,FR,France
201003,3,36236,27936,44536,58,45,71,FR,France
201002,3,40691,32891,48491,65,53,77,FR,France
201001,3,66574,56164,76984,106,89,123,FR,France
200953,3,96141,81818,110464,153,130,176,FR,France
200952,3,172872,153238,192506,275,244,306,FR,France
200951,3,247809,229140,266478,395,365,425,FR,France
200950,3,379424,355974,402874,604,567,641,FR,France
200949,3,473718,447756,499680,754,713,795,FR,France
200948,3,467551,441506,493596,744,703,785,FR,France
200947,3,378924,355752,402096,603,566,640,FR,France
200946,3,223847,203918,243776,356,324,388,FR,France
200945,3,147046,131155,162937,234,209,259,FR,France
200944,3,170231,151298,189164,271,241,301,FR,France
200943,3,131408,114883,147933,209,183,235,FR,France
200942,3,99387,84491,114283,158,134,182,FR,France
200941,3,100802,86381,115223,160,137,183,FR,France
200940,3,111587,97628,125546,178,156,200,FR,France
200939,3,121267,106153,136381,193,169,217,FR,France
200938,3,137924,121242,154606,220,193,247,FR,France
200937,3,101332,87522,115142,161,139,183,FR,France
200936,3,46024,36435,55613,73,58,88,FR,France
200935,3,31660,23669,39651,50,37,63,FR,France
200934,3,24985,17699,32271,40,28,52,FR,France
200933,3,24435,16308,32562,39,26,52,FR,France
200932,3,23151,14624,31678,37,23,51,FR,France
200931,3,30255,9818,50692,48,15,81,FR,France
200930,3,13868,7861,19875,22,12,32,FR,France
200929,3,10704,5314,16094,17,8,26,FR,France
200928,3,15516,273,30759,25,1,49,FR,France
200927,3,10354,2760,17948,16,4,28,FR,France
200926,3,9932,5257,14607,16,9,23,FR,France
200925,3,7619,4026,11212,12,6,18,FR,France
200924,3,7794,3409,12179,12,5,19,FR,France
200923,3,4342,1975,6709,7,3,11,FR,France
200922,3,6390,3020,9760,10,5,15,FR,France
200921,3,7118,3704,10532,11,6,16,FR,France
200920,3,9482,5804,13160,15,9,21,FR,France
200919,3,7538,4299,10777,12,7,17,FR,France
200918,3,9627,5121,14133,15,8,22,FR,France
200917,3,9537,5267,13807,15,8,22,FR,France
200916,3,14666,9218,20114,23,14,32,FR,France
200915,3,17533,12137,22929,28,19,37,FR,France
200914,3,26324,19150,33498,42,31,53,FR,France
200913,3,27737,20781,34693,44,33,55,FR,France
200912,3,38811,29935,47687,62,48,76,FR,France
200911,3,40410,30705,50115,64,49,79,FR,France
200910,3,53395,41943,64847,85,67,103,FR,France
200909,3,70558,57400,83716,112,91,133,FR,France
200908,3,109100,94840,123360,174,151,197,FR,France
200907,3,141531,125101,157961,225,199,251,FR,France
200906,3,276274,252759,299789,440,403,477,FR,France
200905,3,401868,375032,428704,640,597,683,FR,France
200904,3,545313,512892,577734,868,816,920,FR,France
200903,3,520957,487271,554643,829,775,883,FR,France
200902,3,287145,262869,311421,457,418,496,FR,France
200901,3,200349,180878,219820,319,288,350,FR,France
200852,3,198418,115769,281067,323,188,458,FR,France
200851,3,112588,96656,128520,184,158,210,FR,France
200850,3,51746,43319,60173,84,70,98,FR,France
200849,3,34950,27527,42373,57,45,69,FR,France
200848,3,25604,18563,32645,42,31,53,FR,France
200847,3,18706,10838,26574,30,17,43,FR,France
200846,3,10899,5461,16337,18,9,27,FR,France
200845,3,12472,7082,17862,20,11,29,FR,France
200844,3,9772,5661,13883,16,9,23,FR,France
200843,3,9345,5541,13149,15,9,21,FR,France
200842,3,9087,5572,12602,15,9,21,FR,France
200841,3,9925,5637,14213,16,9,23,FR,France
200840,3,7869,4535,11203,13,8,18,FR,France
200839,3,2195,506,3884,4,1,7,FR,France
200838,3,3679,1481,5877,6,2,10,FR,France
200837,3,2429,561,4297,4,1,7,FR,France
200836,3,2512,492,4532,4,1,7,FR,France
200835,3,1901,0,4869,3,0,8,FR,France
200834,3,2552,0,6509,4,0,10,FR,France
200833,3,7229,0,16106,12,0,26,FR,France
200832,3,4378,107,8649,7,0,14,FR,France
200831,3,3972,621,7323,6,1,11,FR,France
200830,3,3821,643,6999,6,1,11,FR,France
200829,3,2055,0,4225,3,0,7,FR,France
200828,3,3257,208,6306,5,0,10,FR,France
200827,3,2862,474,5250,5,1,9,FR,France
200826,3,897,0,2062,1,0,3,FR,France
200825,3,2006,360,3652,3,0,6,FR,France
200824,3,3217,823,5611,5,1,9,FR,France
200823,3,2906,1006,4806,5,2,8,FR,France
200822,3,1792,451,3133,3,1,5,FR,France
200821,3,3642,925,6359,6,2,10,FR,France
200820,3,6452,2790,10114,11,5,17,FR,France
200819,3,5173,1485,8861,8,2,14,FR,France
200818,3,5315,1770,8860,9,3,15,FR,France
200817,3,10150,5835,14465,17,10,24,FR,France
200816,3,11876,7054,16698,19,11,27,FR,France
200815,3,22871,16253,29489,37,26,48,FR,France
200814,3,45610,27907,63313,74,45,103,FR,France
200813,3,38600,29300,47900,63,48,78,FR,France
200812,3,53169,43299,63039,87,71,103,FR,France
200811,3,62014,50430,73598,101,82,120,FR,France
200810,3,90342,75729,104955,147,123,171,FR,France
200809,3,119696,104205,135187,195,170,220,FR,France
200808,3,198688,180749,216627,324,295,353,FR,France
200807,3,286498,264535,308461,467,431,503,FR,France
200806,3,377097,350714,403480,615,572,658,FR,France
200805,3,344050,320436,367664,561,523,599,FR,France
200804,3,290196,268193,312199,473,437,509,FR,France
200803,3,260268,233385,287151,424,380,468,FR,France
200802,3,160872,145311,176433,262,237,287,FR,France
200801,3,102562,88547,116577,167,144,190,FR,France
200752,3,86742,72295,101189,141,117,165,FR,France
200751,3,61954,51764,72144,101,84,118,FR,France
200750,3,45366,36923,53809,74,60,88,FR,France
200749,3,38351,26177,50525,63,43,83,FR,France
200748,3,48174,35418,60930,79,58,100,FR,France
200747,3,30716,23351,38081,50,38,62,FR,France
200746,3,18204,12267,24141,30,20,40,FR,France
200745,3,15521,10195,20847,25,16,34,FR,France
200744,3,13904,9072,18736,23,15,31,FR,France
200743,3,16212,10778,21646,26,17,35,FR,France
200742,3,20197,13955,26439,33,23,43,FR,France
200741,3,12987,8464,17510,21,14,28,FR,France
200740,3,13517,2983,24051,22,5,39,FR,France
200739,3,15985,7519,24451,26,12,40,FR,France
200738,3,4769,837,8701,8,2,14,FR,France
200737,3,1449,300,2598,2,0,4,FR,France
200736,3,1100,0,2424,2,0,4,FR,France
200735,3,1177,0,2872,2,0,5,FR,France
200734,3,3353,654,6052,5,1,9,FR,France
200733,3,4189,360,8018,7,1,13,FR,France
200732,3,132,0,688,0,0,1,FR,France
200731,3,1965,0,4461,3,0,7,FR,France
200730,3,2158,0,4583,4,0,8,FR,France
200729,3,3406,240,6572,6,1,11,FR,France
200728,3,1459,0,3467,2,0,5,FR,France
200727,3,1453,0,3382,2,0,5,FR,France
200726,3,157,0,513,0,0,1,FR,France
200725,3,3699,0,7778,6,0,13,FR,France
200724,3,2854,481,5227,5,1,9,FR,France
200723,3,5343,2164,8522,9,4,14,FR,France
200722,3,7689,4224,11154,13,7,19,FR,France
200721,3,4319,1659,6979,7,3,11,FR,France
200720,3,6400,2685,10115,10,4,16,FR,France
200719,3,3012,703,5321,5,1,9,FR,France
200718,3,2232,348,4116,4,1,7,FR,France
200717,3,4705,1736,7674,8,3,13,FR,France
200716,3,3817,1438,6196,6,2,10,FR,France
200715,3,4757,717,8797,8,1,15,FR,France
200714,3,11377,6957,15797,19,12,26,FR,France
200713,3,21271,13093,29449,35,22,48,FR,France
200712,3,25433,17717,33149,41,28,54,FR,France
200711,3,30764,23356,38172,50,38,62,FR,France
200710,3,49469,40368,58570,81,66,96,FR,France
200709,3,138901,117018,160784,226,190,262,FR,France
200708,3,316747,284988,348506,516,464,568,FR,France
200707,3,417698,386505,448891,681,630,732,FR,France
200706,3,500016,466668,533364,815,761,869,FR,France
200705,3,375457,346822,404092,612,565,659,FR,France
200704,3,209878,189332,230424,342,309,375,FR,France
200703,3,126161,110596,141726,206,181,231,FR,France
200702,3,82849,69493,96205,135,113,157,FR,France
200701,3,70842,58613,83071,115,95,135,FR,France
200652,3,78190,64191,92189,128,105,151,FR,France
200651,3,62734,50210,75258,103,82,124,FR,France
200650,3,35668,27280,44056,58,44,72,FR,France
200649,3,18773,13164,24382,31,22,40,FR,France
200648,3,16439,11225,21653,27,18,36,FR,France
200647,3,16104,9343,22865,26,15,37,FR,France
200646,3,14032,5590,22474,23,9,37,FR,France
200645,3,12285,7745,16825,20,13,27,FR,France
200644,3,8031,4172,11890,13,7,19,FR,France
200643,3,21157,12483,29831,35,21,49,FR,France
200642,3,16673,8249,25097,27,13,41,FR,France
200641,3,13920,9081,18759,23,15,31,FR,France
200640,3,11950,7132,16768,20,12,28,FR,France
200639,3,8945,4333,13557,15,7,23,FR,France
200638,3,2532,138,4926,4,0,8,FR,France
200637,3,1786,233,3339,3,0,6,FR,France
200636,3,1107,0,2346,2,0,4,FR,France
200635,3,2170,0,4760,4,0,8,FR,France
200634,3,1572,0,3756,3,0,7,FR,France
200633,3,0,0,0,0,0,0,FR,France
200632,3,0,0,0,0,0,0,FR,France
200631,3,1773,0,3892,3,0,6,FR,France
200630,3,665,0,1614,1,0,3,FR,France
200629,3,1339,0,3260,2,0,5,FR,France
200628,3,843,0,2245,1,0,3,FR,France
200627,3,1351,0,3031,2,0,5,FR,France
200626,3,4564,1506,7622,7,2,12,FR,France
200625,3,6259,2072,10446,10,3,17,FR,France
200624,3,4279,964,7594,7,2,12,FR,France
200623,3,4532,1489,7575,7,2,12,FR,France
200622,3,5807,2667,8947,10,5,15,FR,France
200621,3,4661,1761,7561,8,3,13,FR,France
200620,3,8859,4754,12964,15,8,22,FR,France
200619,3,5083,2011,8155,8,3,13,FR,France
200618,3,4454,1632,7276,7,2,12,FR,France
200617,3,17762,11802,23722,29,19,39,FR,France
200616,3,22096,15420,28772,36,25,47,FR,France
200615,3,26969,19631,34307,44,32,56,FR,France
200614,3,40321,31022,49620,66,51,81,FR,France
200613,3,77053,63531,90575,126,104,148,FR,France
200612,3,108004,93005,123003,177,152,202,FR,France
200611,3,122437,106388,138486,201,175,227,FR,France
200610,3,124749,109104,140394,204,178,230,FR,France
200609,3,164150,146099,182201,269,239,299,FR,France
200608,3,199088,178830,219346,326,293,359,FR,France
200607,3,243908,221071,266745,400,363,437,FR,France
200606,3,256758,235190,278326,421,386,456,FR,France
200605,3,184928,166901,202955,303,273,333,FR,France
200604,3,104620,90909,118331,171,149,193,FR,France
200603,3,66255,55727,76783,109,92,126,FR,France
200602,3,39211,31418,47004,64,51,77,FR,France
200601,3,34603,26269,42937,57,43,71,FR,France
200552,3,32132,24389,39875,53,40,66,FR,France
200551,3,40344,28397,52291,67,47,87,FR,France
200550,3,36880,28635,45125,61,47,75,FR,France
200549,3,27589,20576,34602,46,34,58,FR,France
200548,3,24860,17839,31881,41,29,53,FR,France
200547,3,26884,19810,33958,44,32,56,FR,France
200546,3,23967,17155,30779,40,29,51,FR,France
200545,3,14609,8709,20509,24,14,34,FR,France
200544,3,20481,13625,27337,34,23,45,FR,France
200543,3,18045,11916,24174,30,20,40,FR,France
200542,3,23653,15209,32097,39,25,53,FR,France
200541,3,26466,18270,34662,44,30,58,FR,France
200540,3,26647,18088,35206,44,30,58,FR,France
200539,3,23994,15381,32607,40,26,54,FR,France
200538,3,21881,13979,29783,36,23,49,FR,France
200537,3,10347,5384,15310,17,9,25,FR,France
200536,3,7082,2806,11358,12,5,19,FR,France
200535,3,2448,0,4987,4,0,8,FR,France
200534,3,5281,539,10023,9,1,17,FR,France
200533,3,2815,0,6252,5,0,11,FR,France
200532,3,1572,0,3690,3,0,6,FR,France
200531,3,3767,0,10955,6,0,18,FR,France
200530,3,2203,0,5072,4,0,9,FR,France
200529,3,3965,739,7191,7,2,12,FR,France
200528,3,1988,96,3880,3,0,6,FR,France
200527,3,2305,0,4713,4,0,8,FR,France
200526,3,4720,1385,8055,8,2,14,FR,France
200525,3,2354,0,4747,4,0,8,FR,France
200524,3,5892,2029,9755,10,4,16,FR,France
200523,3,5246,1722,8770,9,3,15,FR,France
200522,3,3935,1031,6839,6,1,11,FR,France
200521,3,4284,474,8094,7,1,13,FR,France
200520,3,7841,3611,12071,13,6,20,FR,France
200519,3,7638,3346,11930,13,6,20,FR,France
200518,3,2755,388,5122,5,1,9,FR,France
200517,3,7166,3530,10802,12,6,18,FR,France
200516,3,9741,5344,14138,16,9,23,FR,France
200515,3,14881,9018,20744,25,15,35,FR,France
200514,3,21988,14834,29142,36,24,48,FR,France
200513,3,42971,33053,52889,71,55,87,FR,France
200512,3,90040,75374,104706,149,125,173,FR,France
200511,3,183032,161407,204657,302,266,338,FR,France
200510,3,222526,199990,245062,367,330,404,FR,France
200509,3,251784,229464,274104,416,379,453,FR,France
200508,3,277423,254825,300021,458,421,495,FR,France
200507,3,459444,430026,488862,759,710,808,FR,France
200506,3,568610,536207,601013,939,885,993,FR,France
200505,3,568285,534912,601658,938,883,993,FR,France
200504,3,316856,292011,341701,523,482,564,FR,France
200503,3,154208,137061,171355,255,227,283,FR,France
200502,3,88853,75576,102130,147,125,169,FR,France
200501,3,55801,45339,66263,92,75,109,FR,France
200453,3,40695,31926,49464,68,53,83,FR,France
200452,3,32687,24316,41058,54,40,68,FR,France
200451,3,46209,36017,56401,77,60,94,FR,France
200450,3,42358,31865,52851,70,53,87,FR,France
200449,3,27092,17910,36274,45,30,60,FR,France
200448,3,30522,21236,39808,51,36,66,FR,France
200447,3,21148,13386,28910,35,22,48,FR,France
200446,3,13934,8335,19533,23,14,32,FR,France
200445,3,15658,9703,21613,26,16,36,FR,France
200444,3,23166,14852,31480,38,24,52,FR,France
200443,3,16780,10545,23015,28,18,38,FR,France
200442,3,20480,13909,27051,34,23,45,FR,France
200441,3,15852,9789,21915,26,16,36,FR,France
200440,3,25639,17291,33987,43,29,57,FR,France
200439,3,22680,13222,32138,38,22,54,FR,France
200438,3,17483,9417,25549,29,16,42,FR,France
200437,3,9103,4768,13438,15,8,22,FR,France
200436,3,7753,3596,11910,13,6,20,FR,France
200435,3,4408,775,8041,7,1,13,FR,France
200434,3,4501,610,8392,7,1,13,FR,France
200433,3,1697,0,4046,3,0,7,FR,France
200432,3,3496,0,8181,6,0,14,FR,France
200431,3,2949,20,5878,5,0,10,FR,France
200430,3,3557,642,6472,6,1,11,FR,France
200429,3,5164,1162,9166,9,2,16,FR,France
200428,3,6358,2224,10492,11,4,18,FR,France
200427,3,7486,3040,11932,12,5,19,FR,France
200426,3,7113,0,14709,12,0,25,FR,France
200425,3,3275,508,6042,5,0,10,FR,France
200424,3,6737,2394,11080,11,4,18,FR,France
200423,3,9792,807,18777,16,1,31,FR,France
200422,3,8077,3482,12672,13,5,21,FR,France
200421,3,8073,3588,12558,13,6,20,FR,France
200420,3,7885,3454,12316,13,6,20,FR,France
200419,3,7235,3101,11369,12,5,19,FR,France
200418,3,5108,1830,8386,8,3,13,FR,France
200417,3,3647,523,6771,6,1,11,FR,France
200416,3,5265,1359,9171,9,3,15,FR,France
200415,3,8272,3655,12889,14,6,22,FR,France
200414,3,15657,8888,22426,26,15,37,FR,France
200413,3,8316,4067,12565,14,7,21,FR,France
200412,3,12482,6899,18065,21,12,30,FR,France
200411,3,13964,7879,20049,23,13,33,FR,France
200410,3,22531,14164,30898,37,23,51,FR,France
200409,3,12618,7283,17953,21,12,30,FR,France
200408,3,17738,11055,24421,29,18,40,FR,France
200407,3,25484,17228,33740,42,28,56,FR,France
200406,3,27452,19505,35399,46,33,59,FR,France
200405,3,35110,25869,44351,58,43,73,FR,France
200404,3,44571,35266,53876,74,59,89,FR,France
200403,3,60482,50389,70575,100,83,117,FR,France
200402,3,95234,81407,109061,158,135,181,FR,France
200401,3,109116,84565,133667,181,140,222,FR,France
200352,3,72239,5520,138958,121,10,232,FR,France
200351,3,445464,389214,501714,744,650,838,FR,France
200350,3,522427,491781,553073,873,822,924,FR,France
200349,3,555492,524706,586278,928,877,979,FR,France
200348,3,514668,485364,543972,860,811,909,FR,France
200347,3,332927,305972,359882,556,511,601,FR,France
200346,3,146101,126840,165362,244,212,276,FR,France
200345,3,95565,80900,110230,160,135,185,FR,France
200344,3,54703,43193,66213,91,72,110,FR,France
200343,3,45834,36611,55057,77,62,92,FR,France
200342,3,39010,28885,49135,65,48,82,FR,France
200341,3,29579,21478,37680,49,35,63,FR,France
200340,3,30862,19484,42240,52,33,71,FR,France
200339,3,26592,18927,34257,44,31,57,FR,France
200338,3,14811,8777,20845,25,15,35,FR,France
200337,3,14735,7495,21975,25,13,37,FR,France
200336,3,10951,3732,18170,18,6,30,FR,France
200335,3,1504,0,3349,3,0,6,FR,France
200334,3,2194,0,4889,4,0,9,FR,France
200333,3,1504,0,3921,3,0,7,FR,France
200332,3,1619,0,4072,3,0,7,FR,France
200331,3,5164,0,10601,9,0,18,FR,France
200330,3,3183,28,6338,5,0,10,FR,France
200329,3,6801,450,13152,11,0,22,FR,France
200328,3,3975,609,7341,7,1,13,FR,France
200327,3,2293,0,4605,4,0,8,FR,France
200326,3,5333,2138,8528,9,4,14,FR,France
200325,3,2602,0,5228,4,0,8,FR,France
200324,3,8429,0,19483,14,0,32,FR,France
200323,3,4821,1479,8163,8,2,14,FR,France
200322,3,2573,158,4988,4,0,8,FR,France
200321,3,5563,2465,8661,9,4,14,FR,France
200320,3,7554,3748,11360,13,7,19,FR,France
200319,3,8325,3777,12873,14,6,22,FR,France
200318,3,12268,6392,18144,20,10,30,FR,France
200317,3,46253,36234,56272,77,60,94,FR,France
200316,3,50759,39835,61683,85,67,103,FR,France
200315,3,69269,55778,82760,116,93,139,FR,France
200314,3,70084,55374,84794,117,92,142,FR,France
200313,3,70335,56370,84300,118,95,141,FR,France
200312,3,88582,73568,103596,148,123,173,FR,France
200311,3,99729,83353,116105,167,140,194,FR,France
200310,3,121516,104361,138671,203,174,232,FR,France
200309,3,177255,151800,202710,296,253,339,FR,France
200308,3,222638,194269,251007,372,325,419,FR,France
200307,3,237104,207851,266357,396,347,445,FR,France
200306,3,206955,177973,235937,346,298,394,FR,France
200305,3,151864,125877,177851,254,211,297,FR,France
200304,3,95356,76211,114501,159,127,191,FR,France
200303,3,50983,38264,63702,85,64,106,FR,France
200302,3,31447,21706,41188,53,37,69,FR,France
200301,3,31228,19202,43254,52,32,72,FR,France
200252,3,47016,33692,60340,79,57,101,FR,France
200251,3,47629,36912,58346,80,62,98,FR,France
200250,3,35221,26217,44225,59,44,74,FR,France
200249,3,24656,16900,32412,41,28,54,FR,France
200248,3,19799,12868,26730,33,21,45,FR,France
200247,3,16449,9214,23684,28,16,40,FR,France
200246,3,12753,5779,19727,21,9,33,FR,France
200245,3,19304,8475,30133,32,14,50,FR,France
200244,3,18082,10671,25493,30,18,42,FR,France
200243,3,14326,7548,21104,24,13,35,FR,France
200242,3,13774,7800,19748,23,13,33,FR,France
200241,3,11036,5650,16422,19,10,28,FR,France
200240,3,8137,3375,12899,14,6,22,FR,France
200239,3,15989,9892,22086,27,17,37,FR,France
200238,3,7067,3299,10835,12,6,18,FR,France
200237,3,12409,4981,19837,21,9,33,FR,France
200236,3,1679,0,4072,3,0,7,FR,France
200235,3,2126,0,6301,4,0,11,FR,France
200234,3,2843,0,7483,5,0,13,FR,France
200233,3,2670,0,5462,4,0,9,FR,France
200232,3,1087,0,3003,2,0,5,FR,France
200231,3,5455,399,10511,9,1,17,FR,France
200230,3,3601,0,7836,6,0,13,FR,France
200229,3,5576,379,10773,9,0,18,FR,France
200228,3,6602,0,14289,11,0,24,FR,France
200227,3,1882,0,6151,3,0,10,FR,France
200226,3,4523,0,12320,8,0,21,FR,France
200225,3,4765,1076,8454,8,2,14,FR,France
200224,3,12063,7174,16952,20,12,28,FR,France
200223,3,15468,9806,21130,26,16,36,FR,France
200222,3,4854,1696,8012,8,3,13,FR,France
200221,3,5901,2212,9590,10,4,16,FR,France
200220,3,3803,1215,6391,6,2,10,FR,France
200219,3,6139,2598,9680,10,4,16,FR,France
200218,3,6083,2646,9520,10,4,16,FR,France
200217,3,7223,2678,11768,12,4,20,FR,France
200216,3,17762,9887,25637,30,17,43,FR,France
200215,3,21654,13662,29646,36,23,49,FR,France
200214,3,23877,15709,32045,40,26,54,FR,France
200213,3,27497,16289,38705,46,27,65,FR,France
200212,3,33510,20938,46082,56,35,77,FR,France
200211,3,40426,29171,51681,68,49,87,FR,France
200210,3,42915,24537,61293,72,41,103,FR,France
200209,3,63735,48368,79102,107,81,133,FR,France
200208,3,117204,95548,138860,197,161,233,FR,France
200207,3,170251,137065,203437,286,230,342,FR,France
200206,3,325084,296111,354057,546,497,595,FR,France
200205,3,456186,422559,489813,767,710,824,FR,France
200204,3,504715,470859,538571,848,791,905,FR,France
200203,3,383720,353019,414421,645,593,697,FR,France
200202,3,244028,217752,270304,410,366,454,FR,France
200201,3,115422,95696,135148,194,161,227,FR,France
200152,3,57999,43225,72773,98,73,123,FR,France
200151,3,45961,36017,55905,78,61,95,FR,France
200150,3,31309,22878,39740,53,39,67,FR,France
200149,3,34792,23268,46316,59,40,78,FR,France
200148,3,43283,20164,66402,73,34,112,FR,France
200147,3,27455,20021,34889,46,33,59,FR,France
200146,3,21127,14294,27960,36,24,48,FR,France
200145,3,20766,13979,27553,35,24,46,FR,France
200144,3,11410,6593,16227,19,11,27,FR,France
200143,3,23311,15652,30970,39,26,52,FR,France
200142,3,18963,11652,26274,32,20,44,FR,France
200141,3,20241,14032,26450,34,24,44,FR,France
200140,3,18113,9971,26255,31,17,45,FR,France
200139,3,25407,7785,43029,43,13,73,FR,France
200138,3,9736,4985,14487,16,8,24,FR,France
200137,3,8025,3527,12523,14,6,22,FR,France
200136,3,4663,654,8672,8,1,15,FR,France
200135,3,4399,0,9810,7,0,16,FR,France
200134,3,2990,0,6419,5,0,11,FR,France
200133,3,0,0,0,0,0,0,FR,France
200132,3,0,0,0,0,0,0,FR,France
200131,3,18999,4286,33712,32,7,57,FR,France
200130,3,2144,0,5670,4,0,10,FR,France
200129,3,2408,0,5215,4,0,9,FR,France
200128,3,3555,553,6557,6,1,11,FR,France
200127,3,4739,1122,8356,8,2,14,FR,France
200126,3,3335,466,6204,6,1,11,FR,France
200125,3,2643,527,4759,4,0,8,FR,France
200124,3,4784,2158,7410,8,4,12,FR,France
200123,3,6299,3161,9437,11,6,16,FR,France
200122,3,4544,2006,7082,8,4,12,FR,France
200121,3,8925,4094,13756,15,7,23,FR,France
200120,3,15269,8883,21655,26,15,37,FR,France
200119,3,17369,10575,24163,29,18,40,FR,France
200118,3,21043,14262,27824,36,25,47,FR,France
200117,3,25787,19109,32465,44,33,55,FR,France
200116,3,24025,16833,31217,41,29,53,FR,France
200115,3,24188,17340,31036,41,29,53,FR,France
200114,3,40429,31774,49084,68,53,83,FR,France
200113,3,48644,39517,57771,82,67,97,FR,France
200112,3,45411,35780,55042,77,61,93,FR,France
200111,3,49809,40534,59084,84,68,100,FR,France
200110,3,46649,37240,56058,79,63,95,FR,France
200109,3,58623,47346,69900,99,80,118,FR,France
200108,3,77423,63237,91609,131,107,155,FR,France
200107,3,126970,107898,146042,215,183,247,FR,France
200106,3,225969,198142,253796,382,335,429,FR,France
200105,3,278674,249486,307862,471,422,520,FR,France
200104,3,209193,189129,229257,354,320,388,FR,France
200103,3,139823,124243,155403,236,210,262,FR,France
200102,3,105356,92392,118320,178,156,200,FR,France
200101,3,98930,84599,113261,167,143,191,FR,France
200052,3,143525,124203,162847,244,211,277,FR,France
200051,3,125224,108719,141729,213,185,241,FR,France
200050,3,99177,84857,113497,169,145,193,FR,France
200049,3,74170,54196,94144,126,92,160,FR,France
200048,3,43642,34064,53220,74,58,90,FR,France
200047,3,64848,11322,118374,110,19,201,FR,France
200046,3,20598,14053,27143,35,24,46,FR,France
200045,3,25375,17229,33521,43,29,57,FR,France
200044,3,16330,9762,22898,28,17,39,FR,France
200043,3,36951,27693,46209,63,47,79,FR,France
200042,3,41200,30772,51628,70,52,88,FR,France
200041,3,40022,30939,49105,68,53,83,FR,France
200040,3,27237,19986,34488,46,34,58,FR,France
200039,3,19338,12649,26027,33,22,44,FR,France
200038,3,7417,3193,11641,13,6,20,FR,France
200037,3,2243,0,4722,4,0,8,FR,France
200036,3,2990,0,6416,5,0,11,FR,France
200035,3,5590,0,12003,10,0,21,FR,France
200034,3,5188,0,12418,9,0,21,FR,France
200033,3,1690,0,3859,3,0,7,FR,France
200032,3,1405,0,4239,2,0,7,FR,France
200031,3,2159,0,4744,4,0,8,FR,France
200030,3,218,0,783,0,0,1,FR,France
200029,3,1532,0,3751,3,0,7,FR,France
200028,3,1071,0,2881,2,0,5,FR,France
200027,3,2427,150,4704,4,0,8,FR,France
200026,3,1997,0,4996,3,0,8,FR,France
200025,3,4239,221,8257,7,0,14,FR,France
200024,3,5411,1122,9700,9,2,16,FR,France
200023,3,8757,4101,13413,15,7,23,FR,France
200022,3,4966,1694,8238,8,2,14,FR,France
200021,3,4271,1389,7153,7,2,12,FR,France
200020,3,4520,1478,7562,8,3,13,FR,France
200019,3,13867,8548,19186,24,15,33,FR,France
200018,3,5386,2261,8511,9,4,14,FR,France
200017,3,7018,1581,12455,12,3,21,FR,France
200016,3,5328,1433,9223,9,2,16,FR,France
200015,3,12020,6436,17604,20,11,29,FR,France
200014,3,10942,5691,16193,19,10,28,FR,France
200013,3,8572,3443,13701,15,6,24,FR,France
200012,3,7081,3097,11065,12,5,19,FR,France
200011,3,12172,7447,16897,21,13,29,FR,France
200010,3,9091,5450,12732,15,9,21,FR,France
200009,3,14631,9200,20062,25,16,34,FR,France
200008,3,23647,17172,30122,40,29,51,FR,France
200007,3,59173,48440,69906,101,83,119,FR,France
200006,3,146517,129961,163073,249,221,277,FR,France
200005,3,261687,239983,283391,445,408,482,FR,France
200004,3,374822,349785,399859,637,594,680,FR,France
200003,3,484233,456706,511760,824,777,871,FR,France
200002,3,521069,492185,549953,886,837,935,FR,France
200001,3,541945,511326,572564,922,870,974,FR,France
199952,3,387655,360652,414658,663,617,709,FR,France
199951,3,272075,250906,293244,465,429,501,FR,France
199950,3,181113,164571,197655,310,282,338,FR,France
199949,3,112328,99058,125598,192,169,215,FR,France
199948,3,58710,48651,68769,100,83,117,FR,France
199947,3,35912,23462,48362,61,40,82,FR,France
199946,3,8601,1503,15699,15,3,27,FR,France
199945,3,17781,10817,24745,30,18,42,FR,France
199944,3,18238,12870,23606,31,22,40,FR,France
199943,3,18135,12601,23669,31,22,40,FR,France
199942,3,19183,13258,25108,33,23,43,FR,France
199941,3,25171,18689,31653,43,32,54,FR,France
199940,3,24185,16184,32186,41,27,55,FR,France
199939,3,28553,20776,36330,49,36,62,FR,France
199938,3,12430,7759,17101,21,13,29,FR,France
199937,3,7543,4283,10803,13,7,19,FR,France
199936,3,8191,2827,13555,14,5,23,FR,France
199935,3,3334,1188,5480,6,2,10,FR,France
199934,3,7600,0,27730,13,0,47,FR,France
199933,3,9757,354,19160,17,1,33,FR,France
199932,3,7149,0,15077,12,0,26,FR,France
199931,3,2640,0,5463,5,0,10,FR,France
199930,3,1478,0,3153,3,0,6,FR,France
199929,3,3983,498,7468,7,1,13,FR,France
199928,3,3731,712,6750,6,1,11,FR,France
199927,3,5004,1597,8411,9,3,15,FR,France
199926,3,3459,699,6219,6,1,11,FR,France
199925,3,5302,2057,8547,9,3,15,FR,France
199924,3,4327,1646,7008,7,2,12,FR,France
199923,3,5370,2374,8366,9,4,14,FR,France
199922,3,4404,1643,7165,8,3,13,FR,France
199921,3,4180,1485,6875,7,2,12,FR,France
199920,3,6073,2775,9371,10,4,16,FR,France
199919,3,6241,3220,9262,11,6,16,FR,France
199918,3,3057,678,5436,5,1,9,FR,France
199917,3,2904,701,5107,5,1,9,FR,France
199916,3,7539,3360,11718,13,6,20,FR,France
199915,3,11535,6814,16256,20,12,28,FR,France
199914,3,18730,13131,24329,32,22,42,FR,France
199913,3,38453,29560,47346,66,51,81,FR,France
199912,3,58090,48072,68108,99,82,116,FR,France
199911,3,91329,78686,103972,156,134,178,FR,France
199910,3,147976,131058,164894,253,224,282,FR,France
199909,3,207450,188710,226190,355,323,387,FR,France
199908,3,313293,292280,334306,536,500,572,FR,France
199907,3,524136,496702,551570,896,849,943,FR,France
199906,3,493908,466605,521211,844,797,891,FR,France
199905,3,476884,449696,504072,815,769,861,FR,France
199904,3,368514,345131,391897,630,590,670,FR,France
199903,3,242388,224208,260568,414,383,445,FR,France
199902,3,160657,145209,176105,275,249,301,FR,France
199901,3,130133,115125,145141,222,196,248,FR,France
199853,3,107611,92301,122921,185,159,211,FR,France
199852,3,72373,61032,83714,124,105,143,FR,France
199851,3,78179,67156,89202,134,115,153,FR,France
199850,3,54775,45478,64072,94,78,110,FR,France
199849,3,33385,26332,40438,57,45,69,FR,France
199848,3,22636,16668,28604,39,29,49,FR,France
199847,3,14505,9746,19264,25,17,33,FR,France
199846,3,13804,9049,18559,24,16,32,FR,France
199845,3,13021,8113,17929,22,14,30,FR,France
199844,3,12631,7410,17852,22,13,31,FR,France
199843,3,12180,7125,17235,21,12,30,FR,France
199842,3,18885,12726,25044,32,21,43,FR,France
199841,3,24196,17506,30886,42,31,53,FR,France
199840,3,20235,14114,26356,35,25,45,FR,France
199839,3,17075,11538,22612,29,20,38,FR,France
199838,3,10837,6336,15338,19,11,27,FR,France
199837,3,6968,3227,10709,12,6,18,FR,France
199836,3,3033,580,5486,5,1,9,FR,France
199835,3,2491,0,5022,4,0,8,FR,France
199834,3,3853,589,7117,7,1,13,FR,France
199833,3,2934,0,6598,5,0,11,FR,France
199832,3,1308,0,2894,2,0,5,FR,France
199831,3,12147,0,29237,21,0,50,FR,France
199830,3,5309,1628,8990,9,3,15,FR,France
199829,3,6486,2465,10507,11,4,18,FR,France
199828,3,9577,4464,14690,16,7,25,FR,France
199827,3,12358,7158,17558,21,12,30,FR,France
199826,3,10415,6547,14283,18,11,25,FR,France
199825,3,18246,13050,23442,31,22,40,FR,France
199824,3,16263,11126,21400,28,19,37,FR,France
199823,3,8553,4911,12195,15,9,21,FR,France
199822,3,5181,2669,7693,9,5,13,FR,France
199821,3,4751,2416,7086,8,4,12,FR,France
199820,3,12129,8099,16159,21,14,28,FR,France
199819,3,24118,17906,30330,41,30,52,FR,France
199818,3,31612,24512,38712,54,42,66,FR,France
199817,3,61148,51894,70402,105,89,121,FR,France
199816,3,123195,109878,136512,211,188,234,FR,France
199815,3,171603,156715,186491,294,268,320,FR,France
199814,3,319092,298398,339786,547,512,582,FR,France
199813,3,298212,278513,317911,512,478,546,FR,France
199812,3,263585,246356,280814,452,422,482,FR,France
199811,3,220578,204894,236262,378,351,405,FR,France
199810,3,202354,186304,218404,347,319,375,FR,France
199809,3,227553,209970,245136,390,360,420,FR,France
199808,3,271362,252005,290719,465,432,498,FR,France
199807,3,190187,173694,206680,326,298,354,FR,France
199806,3,88217,76829,99605,151,131,171,FR,France
199805,3,45180,36970,53390,77,63,91,FR,France
199804,3,30005,23272,36738,51,39,63,FR,France
199803,3,23900,18221,29579,41,31,51,FR,France
199802,3,31143,23994,38292,53,41,65,FR,France
199801,3,24809,17786,31832,43,31,55,FR,France
199752,3,29039,21984,36094,50,38,62,FR,France
199751,3,34924,27737,42111,60,48,72,FR,France
199750,3,33527,26388,40666,58,46,70,FR,France
199749,3,15978,11147,20809,27,19,35,FR,France
199748,3,11507,7744,15270,20,14,26,FR,France
199747,3,11059,7151,14967,19,12,26,FR,France
199746,3,8073,4613,11533,14,8,20,FR,France
199745,3,18202,13113,23291,31,22,40,FR,France
199744,3,19770,14405,25135,34,25,43,FR,France
199743,3,16707,11945,21469,29,21,37,FR,France
199742,3,15340,10351,20329,26,17,35,FR,France
199741,3,16933,11941,21925,29,20,38,FR,France
199740,3,13292,8709,17875,23,15,31,FR,France
199739,3,10189,6279,14099,18,11,25,FR,France
199738,3,3231,1061,5401,6,2,10,FR,France
199737,3,4542,1949,7135,8,4,12,FR,France
199736,3,5131,2205,8057,9,4,14,FR,France
199735,3,1842,0,3740,3,0,6,FR,France
199734,3,3226,0,6717,6,0,12,FR,France
199733,3,1799,0,4368,3,0,7,FR,France
199732,3,2086,0,4411,4,0,8,FR,France
199731,3,1386,0,3332,2,0,5,FR,France
199730,3,2116,0,4919,4,0,9,FR,France
199729,3,1973,0,4347,3,0,7,FR,France
199728,3,1560,216,2904,3,1,5,FR,France
199727,3,2540,754,4326,4,1,7,FR,France
199726,3,5582,2699,8465,10,5,15,FR,France
199725,3,4012,1090,6934,7,2,12,FR,France
199724,3,4696,1824,7568,8,3,13,FR,France
199723,3,4709,2136,7282,8,4,12,FR,France
199722,3,2283,665,3901,4,1,7,FR,France
199721,3,2108,664,3552,4,2,6,FR,France
199720,3,3257,1519,4995,6,3,9,FR,France
199719,3,4646,2436,6856,8,4,12,FR,France
199718,3,5246,2764,7728,9,5,13,FR,France
199717,3,14236,9906,18566,24,17,31,FR,France
199716,3,12169,8111,16227,21,14,28,FR,France
199715,3,9516,6192,12840,16,10,22,FR,France
199714,3,13602,9659,17545,23,16,30,FR,France
199713,3,18032,13345,22719,31,23,39,FR,France
199712,3,17199,12707,21691,30,22,38,FR,France
199711,3,19988,15419,24557,34,26,42,FR,France
199710,3,21903,17338,26468,38,30,46,FR,France
199709,3,29860,24261,35459,51,41,61,FR,France
199708,3,55445,47857,63033,95,82,108,FR,France
199707,3,70876,62518,79234,122,108,136,FR,France
199706,3,76906,68152,85660,132,117,147,FR,France
199705,3,95900,86095,105705,165,148,182,FR,France
199704,3,96896,87079,106713,167,150,184,FR,France
199703,3,143844,131917,155771,248,227,269,FR,France
199702,3,211578,197395,225761,364,340,388,FR,France
199701,3,280440,263783,297097,483,454,512,FR,France
199652,3,388201,369211,407191,670,637,703,FR,France
199651,3,640627,617388,663866,1106,1066,1146,FR,France
199650,3,535205,514568,555842,924,888,960,FR,France
199649,3,411498,393335,429661,710,679,741,FR,France
199648,3,195568,182563,208573,338,316,360,FR,France
199647,3,71980,63619,80341,124,110,138,FR,France
199646,3,32138,26358,37918,55,45,65,FR,France
199645,3,25551,20136,30966,44,35,53,FR,France
199644,3,10753,7230,14276,19,13,25,FR,France
199643,3,12971,9311,16631,22,16,28,FR,France
199642,3,11929,8472,15386,21,15,27,FR,France
199641,3,9918,6674,13162,17,11,23,FR,France
199640,3,10765,7067,14463,19,13,25,FR,France
199639,3,8377,5183,11571,14,8,20,FR,France
199638,3,9470,5965,12975,16,10,22,FR,France
199637,3,2925,829,5021,5,1,9,FR,France
199636,3,1122,23,2221,2,0,4,FR,France
199635,3,1674,93,3255,3,0,6,FR,France
199634,3,1273,122,2424,2,0,4,FR,France
199633,3,540,0,1246,1,0,2,FR,France
199632,3,1453,176,2730,3,1,5,FR,France
199631,3,3010,752,5268,5,1,9,FR,France
199630,3,2992,706,5278,5,1,9,FR,France
199629,3,1559,144,2974,3,1,5,FR,France
199628,3,3109,541,5677,5,1,9,FR,France
199627,3,4456,1595,7317,8,3,13,FR,France
199626,3,2871,1138,4604,5,2,8,FR,France
199625,3,2308,856,3760,4,1,7,FR,France
199624,3,2490,1067,3913,4,2,6,FR,France
199623,3,2819,1262,4376,5,2,8,FR,France
199622,3,4005,1984,6026,7,4,10,FR,France
199621,3,7042,4291,9793,12,7,17,FR,France
199620,3,10619,7365,13873,18,12,24,FR,France
199619,3,11898,8065,15731,21,14,28,FR,France
199618,3,18338,13352,23324,32,23,41,FR,France
199617,3,24954,19100,30808,43,33,53,FR,France
199616,3,29313,23868,34758,51,42,60,FR,France
199615,3,51703,43644,59762,89,75,103,FR,France
199614,3,44414,36774,52054,77,64,90,FR,France
199613,3,30622,25062,36182,53,43,63,FR,France
199612,3,31818,25852,37784,55,45,65,FR,France
199611,3,24427,19499,29355,42,33,51,FR,France
199610,3,20910,16198,25622,36,28,44,FR,France
199609,3,19594,15228,23960,34,26,42,FR,France
199608,3,19046,14850,23242,33,26,40,FR,France
199607,3,23041,18338,27744,40,32,48,FR,France
199606,3,21810,17153,26467,38,30,46,FR,France
199605,3,25275,20410,30140,44,36,52,FR,France
199604,3,43359,36948,49770,75,64,86,FR,France
199603,3,54691,48016,61366,94,82,106,FR,France
199602,3,105606,96106,115106,182,166,198,FR,France
199601,3,223830,209274,238386,386,361,411,FR,France
199552,3,397122,378252,415992,688,655,721,FR,France
199551,3,749988,725434,774542,1299,1256,1342,FR,France
199550,3,604926,583100,626752,1047,1009,1085,FR,France
199549,3,375500,358200,392800,650,620,680,FR,France
199548,3,206446,193457,219435,357,335,379,FR,France
199547,3,120472,110526,130418,209,192,226,FR,France
199546,3,62380,55042,69718,108,95,121,FR,France
199545,3,29791,24523,35059,52,43,61,FR,France
199544,3,13168,9820,16516,23,17,29,FR,France
199543,3,16188,12389,19987,28,21,35,FR,France
199542,3,15178,11387,18969,26,19,33,FR,France
199541,3,14980,10851,19109,26,19,33,FR,France
199540,3,16245,11610,20880,28,20,36,FR,France
199539,3,18499,13844,23154,32,24,40,FR,France
199538,3,13123,9410,16836,23,17,29,FR,France
199537,3,4895,2666,7124,8,4,12,FR,France
199536,3,3659,1574,5744,6,2,10,FR,France
199535,3,2496,644,4348,4,1,7,FR,France
199534,3,1887,214,3560,3,0,6,FR,France
199533,3,905,0,2007,2,0,4,FR,France
199532,3,700,0,1699,1,0,3,FR,France
199531,3,1946,92,3800,3,0,6,FR,France
199530,3,1898,46,3750,3,0,6,FR,France
199529,3,2148,687,3609,4,1,7,FR,France
199528,3,3312,1430,5194,6,3,9,FR,France
199527,3,4853,2683,7023,8,4,12,FR,France
199526,3,4986,2911,7061,9,5,13,FR,France
199525,3,4571,2520,6622,8,4,12,FR,France
199524,3,8058,5054,11062,14,9,19,FR,France
199523,3,13820,9801,17839,24,17,31,FR,France
199522,3,14124,9999,18249,24,17,31,FR,France
199521,3,11931,8655,15207,21,15,27,FR,France
199520,3,18846,14311,23381,33,25,41,FR,France
199519,3,26261,21488,31034,45,37,53,FR,France
199518,3,39231,33258,45204,68,58,78,FR,France
199517,3,88640,79343,97937,153,137,169,FR,France
199516,3,140488,129439,151537,243,224,262,FR,France
199515,3,181007,169110,192904,313,292,334,FR,France
199514,3,248704,235144,262264,431,408,454,FR,France
199513,3,209839,197191,222487,363,341,385,FR,France
199512,3,122434,112497,132371,212,195,229,FR,France
199511,3,81730,73346,90114,142,127,157,FR,France
199510,3,49387,42703,56071,86,74,98,FR,France
199509,3,39696,33259,46133,69,58,80,FR,France
199508,3,38008,32225,43791,66,56,76,FR,France
199507,3,30550,25479,35621,53,44,62,FR,France
199506,3,37351,32007,42695,65,56,74,FR,France
199505,3,27876,23218,32534,48,40,56,FR,France
199504,3,27643,22818,32468,48,40,56,FR,France
199503,3,24844,20391,29297,43,35,51,FR,France
199502,3,23480,19249,27711,41,34,48,FR,France
199501,3,26556,21916,31196,46,38,54,FR,France
199452,3,22036,17495,26577,38,30,46,FR,France
199451,3,26912,21750,32074,47,38,56,FR,France
199450,3,28831,23470,34192,50,41,59,FR,France
199449,3,21161,16559,25763,37,29,45,FR,France
199448,3,18487,14456,22518,32,25,39,FR,France
199447,3,15206,11578,18834,26,20,32,FR,France
199446,3,14252,10525,17979,25,19,31,FR,France
199445,3,12152,8448,15856,21,15,27,FR,France
199444,3,11307,7688,14926,20,14,26,FR,France
199443,3,11254,8002,14506,20,14,26,FR,France
199442,3,14406,10653,18159,25,18,32,FR,France
199441,3,14073,10341,17805,24,18,30,FR,France
199440,3,15962,11850,20074,28,21,35,FR,France
199439,3,15878,11643,20113,28,21,35,FR,France
199438,3,15366,11100,19632,27,20,34,FR,France
199437,3,5949,3561,8337,10,6,14,FR,France
199436,3,2806,1133,4479,5,2,8,FR,France
199435,3,4556,2358,6754,8,4,12,FR,France
199434,3,3459,1444,5474,6,2,10,FR,France
199433,3,4272,977,7567,7,1,13,FR,France
199432,3,4786,1613,7959,8,2,14,FR,France
199431,3,5027,1580,8474,9,3,15,FR,France
199430,3,2100,520,3680,4,1,7,FR,France
199429,3,1188,0,2384,2,0,4,FR,France
199428,3,1581,316,2846,3,1,5,FR,France
199427,3,713,0,1459,1,0,2,FR,France
199426,3,990,80,1900,2,0,4,FR,France
199425,3,5431,3222,7640,9,5,13,FR,France
199424,3,6288,3723,8853,11,7,15,FR,France
199423,3,6440,1052,11828,11,2,20,FR,France
199422,3,845,0,2449,1,0,4,FR,France
199421,3,2197,395,3999,4,1,7,FR,France
199420,3,2217,852,3582,4,2,6,FR,France
199419,3,1483,406,2560,3,1,5,FR,France
199418,3,3705,1940,5470,6,3,9,FR,France
199417,3,2288,1064,3512,4,2,6,FR,France
199416,3,5156,3176,7136,9,6,12,FR,France
199415,3,6952,4678,9226,12,8,16,FR,France
199414,3,4671,2784,6558,8,5,11,FR,France
199413,3,3343,1641,5045,6,3,9,FR,France
199412,3,4305,2412,6198,7,4,10,FR,France
199411,3,5399,3327,7471,9,5,13,FR,France
199410,3,4548,2529,6567,8,4,12,FR,France
199409,3,5635,3251,8019,10,6,14,FR,France
199408,3,9539,6652,12426,17,12,22,FR,France
199407,3,14639,11188,18090,25,19,31,FR,France
199406,3,17308,13395,21221,30,23,37,FR,France
199405,3,18489,14290,22688,32,25,39,FR,France
199404,3,23712,19048,28376,41,33,49,FR,France
199403,3,29882,24817,34947,52,43,61,FR,France
199402,3,47402,41415,53389,82,72,92,FR,France
199401,3,118119,108182,128056,205,188,222,FR,France
199352,3,233137,218608,247666,406,381,431,FR,France
199351,3,377472,359792,395152,658,627,689,FR,France
199350,3,627639,607097,648181,1094,1058,1130,FR,France
199349,3,898045,873419,922671,1565,1522,1608,FR,France
199348,3,527582,507752,547412,920,885,955,FR,France
199347,3,241371,226769,255973,421,396,446,FR,France
199346,3,76034,68003,84065,133,119,147,FR,France
199345,3,32289,27022,37556,56,47,65,FR,France
199344,3,17832,14015,21649,31,24,38,FR,France
199343,3,15098,11333,18863,26,19,33,FR,France
199342,3,19187,14893,23481,33,26,40,FR,France
199341,3,18285,14384,22186,32,25,39,FR,France
199340,3,13805,10348,17262,24,18,30,FR,France
199339,3,14783,11173,18393,26,20,32,FR,France
199338,3,10492,7329,13655,18,12,24,FR,France
199337,3,7023,4503,9543,12,8,16,FR,France
199336,3,4361,2445,6277,8,5,11,FR,France
199335,3,5589,3066,8112,10,6,14,FR,France
199334,3,2984,1209,4759,5,2,8,FR,France
199333,3,3217,758,5676,6,2,10,FR,France
199332,3,3755,1051,6459,7,2,12,FR,France
199331,3,4163,1768,6558,7,3,11,FR,France
199330,3,4055,1907,6203,7,3,11,FR,France
199329,3,3714,1668,5760,6,2,10,FR,France
199328,3,1774,484,3064,3,1,5,FR,France
199327,3,2574,918,4230,4,1,7,FR,France
199326,3,3048,1450,4646,5,2,8,FR,France
199325,3,8348,5260,11436,15,10,20,FR,France
199324,3,6624,3747,9501,12,7,17,FR,France
199323,3,7424,4302,10546,13,8,18,FR,France
199322,3,3432,1849,5015,6,3,9,FR,France
199321,3,5942,3670,8214,10,6,14,FR,France
199320,3,5137,3157,7117,9,6,12,FR,France
199319,3,4593,2725,6461,8,5,11,FR,France
199318,3,5027,3075,6979,9,6,12,FR,France
199317,3,8111,5138,11084,14,9,19,FR,France
199316,3,24932,19468,30396,43,33,53,FR,France
199315,3,22181,17147,27215,39,30,48,FR,France
199314,3,38266,30865,45667,67,54,80,FR,France
199313,3,62987,54506,71468,110,95,125,FR,France
199312,3,63493,55956,71030,111,98,124,FR,France
199311,3,80548,72628,88468,140,126,154,FR,France
199310,3,127910,117688,138132,223,205,241,FR,France
199309,3,184150,171378,196922,321,299,343,FR,France
199308,3,222932,209051,236813,389,365,413,FR,France
199307,3,248494,234936,262052,433,409,457,FR,France
199306,3,286939,271830,302048,500,474,526,FR,France
199305,3,255890,241516,270264,446,421,471,FR,France
199304,3,193107,181261,204953,337,316,358,FR,France
199303,3,147854,137256,158452,258,240,276,FR,France
199302,3,90269,82164,98374,157,143,171,FR,France
199301,3,75288,67244,83332,131,117,145,FR,France
199253,3,56622,49107,64137,99,86,112,FR,France
199252,3,49588,42568,56608,87,75,99,FR,France
199251,3,41156,35024,47288,72,61,83,FR,France
199250,3,40100,34699,45501,70,61,79,FR,France
199249,3,39146,33847,44445,69,60,78,FR,France
199248,3,32392,27499,37285,57,48,66,FR,France
199247,3,26276,21797,30755,46,38,54,FR,France
199246,3,22758,18462,27054,40,32,48,FR,France
199245,3,22023,17804,26242,39,32,46,FR,France
199244,3,27619,22945,32293,48,40,56,FR,France
199243,3,24969,20704,29234,44,37,51,FR,France
199242,3,29980,25261,34699,52,44,60,FR,France
199241,3,24091,19953,28229,42,35,49,FR,France
199240,3,17593,13885,21301,31,25,37,FR,France
199239,3,13535,10301,16769,24,18,30,FR,France
199238,3,9837,7106,12568,17,12,22,FR,France
199237,3,7480,5130,9830,13,9,17,FR,France
199236,3,5155,2958,7352,9,5,13,FR,France
199235,3,6383,3687,9079,11,6,16,FR,France
199234,3,2953,922,4984,5,1,9,FR,France
199233,3,4046,1549,6543,7,3,11,FR,France
199232,3,4963,2215,7711,9,4,14,FR,France
199231,3,4233,1733,6733,7,3,11,FR,France
199230,3,3091,1145,5037,5,2,8,FR,France
199229,3,3586,1583,5589,6,2,10,FR,France
199228,3,4179,2133,6225,7,3,11,FR,France
199227,3,5568,3134,8002,10,6,14,FR,France
199226,3,5886,3229,8543,10,5,15,FR,France
199225,3,5304,2805,7803,9,5,13,FR,France
199224,3,5928,3482,8374,10,6,14,FR,France
199223,3,3914,1855,5973,7,3,11,FR,France
199222,3,4899,2641,7157,9,5,13,FR,France
199221,3,5059,2889,7229,9,5,13,FR,France
199220,3,4308,2226,6390,8,4,12,FR,France
199219,3,2982,1181,4783,5,2,8,FR,France
199218,3,3887,1777,5997,7,3,11,FR,France
199217,3,3614,1216,6012,6,2,10,FR,France
199216,3,5460,2934,7986,10,6,14,FR,France
199215,3,8642,5029,12255,15,9,21,FR,France
199214,3,11346,7536,15156,20,13,27,FR,France
199213,3,11693,8096,15290,20,14,26,FR,France
199212,3,11752,7834,15670,21,14,28,FR,France
199211,3,11689,7575,15803,20,13,27,FR,France
199210,3,19224,12971,25477,34,23,45,FR,France
199209,3,26629,20275,32983,47,36,58,FR,France
199208,3,37667,30887,44447,66,54,78,FR,France
199207,3,57312,48777,65847,100,85,115,FR,France
199206,3,112450,99989,124911,197,175,219,FR,France
199205,3,165474,151342,179606,290,265,315,FR,France
199204,3,147959,133595,162323,259,234,284,FR,France
199203,3,137893,122944,152842,241,215,267,FR,France
199202,3,185852,166558,205146,325,291,359,FR,France
199201,3,247688,222574,272802,434,390,478,FR,France
199152,3,349815,325499,374131,615,572,658,FR,France
199151,3,378413,355928,400898,666,626,706,FR,France
199150,3,198721,182878,214564,350,322,378,FR,France
199149,3,93903,82992,104814,165,146,184,FR,France
199148,3,45173,37384,52962,79,65,93,FR,France
199147,3,35691,28224,43158,63,50,76,FR,France
199146,3,23685,17531,29839,42,31,53,FR,France
199145,3,19565,13551,25579,34,23,45,FR,France
199144,3,21571,15477,27665,38,27,49,FR,France
199143,3,28842,21958,35726,51,39,63,FR,France
199142,3,27483,20385,34581,48,36,60,FR,France
199141,3,28185,20655,35715,50,37,63,FR,France
199140,3,26740,16049,37431,47,28,66,FR,France
199139,3,14373,8734,20012,25,15,35,FR,France
199138,3,7460,3700,11220,13,6,20,FR,France
199137,3,2429,434,4424,4,0,8,FR,France
199136,3,2380,0,4882,4,0,8,FR,France
199135,3,2372,0,5025,4,0,9,FR,France
199134,3,2099,0,5104,4,0,9,FR,France
199133,3,1654,0,4102,3,0,7,FR,France
199132,3,625,0,2190,1,0,4,FR,France
199131,3,2464,0,5830,4,0,10,FR,France
199130,3,2382,0,6857,4,0,12,FR,France
199129,3,3837,40,7634,7,0,14,FR,France
199128,3,3297,152,6442,6,0,12,FR,France
199127,3,3164,934,5394,6,2,10,FR,France
199126,3,6376,3324,9428,11,6,16,FR,France
199125,3,8218,4776,11660,14,8,20,FR,France
199124,3,8223,4660,11786,14,8,20,FR,France
199123,3,6801,3596,10006,12,6,18,FR,France
199122,3,6050,2682,9418,11,5,17,FR,France
199121,3,6391,3385,9397,11,6,16,FR,France
199120,3,8633,4683,12583,15,8,22,FR,France
199119,3,7785,3986,11584,14,7,21,FR,France
199118,3,10856,6457,15255,19,11,27,FR,France
199117,3,15603,10950,20256,27,19,35,FR,France
199116,3,15665,11184,20146,28,20,36,FR,France
199115,3,15062,10715,19409,26,18,34,FR,France
199114,3,27862,21583,34141,49,38,60,FR,France
199113,3,32179,25829,38529,57,46,68,FR,France
199112,3,27873,22312,33434,49,39,59,FR,France
199111,3,46186,38876,53496,81,68,94,FR,France
199110,3,88750,77784,99716,156,137,175,FR,France
199109,3,139093,124326,153860,245,219,271,FR,France
199108,3,216369,198630,234108,381,350,412,FR,France
199107,3,208836,191789,225883,367,337,397,FR,France
199106,3,134737,121280,148194,237,213,261,FR,France
199105,3,73564,62716,84412,129,110,148,FR,France
199104,3,48253,39031,57475,85,69,101,FR,France
199103,3,29382,22258,36506,52,39,65,FR,France
199102,3,29759,22044,37474,52,38,66,FR,France
199101,3,42927,33706,52148,76,60,92,FR,France
199052,3,41262,31607,50917,73,56,90,FR,France
199051,3,46924,37544,56304,83,66,100,FR,France
199050,3,44125,36137,52113,78,64,92,FR,France
199049,3,38379,30603,46155,68,54,82,FR,France
199048,3,29571,22315,36827,52,39,65,FR,France
199047,3,23358,15890,30826,41,28,54,FR,France
199046,3,20246,7930,32562,36,14,58,FR,France
199045,3,17571,11591,23551,31,20,42,FR,France
199044,3,16182,10305,22059,29,19,39,FR,France
199043,3,17579,11588,23570,31,20,42,FR,France
199042,3,13011,7875,18147,23,14,32,FR,France
199041,3,19723,13330,26116,35,24,46,FR,France
199040,3,20433,14614,26252,36,26,46,FR,France
199039,3,15618,10315,20921,28,19,37,FR,France
199038,3,11146,6197,16095,20,11,29,FR,France
199037,3,4051,1022,7080,7,2,12,FR,France
199036,3,2542,124,4960,4,0,8,FR,France
199035,3,934,0,2681,2,0,5,FR,France
199034,3,201,0,595,0,0,1,FR,France
199033,3,0,0,0,0,0,0,FR,France
199032,3,1399,0,3849,2,0,6,FR,France
199031,3,881,0,2206,2,0,4,FR,France
199030,3,425,0,1262,1,0,2,FR,France
199029,3,1077,0,2643,2,0,5,FR,France
199028,3,959,0,2252,2,0,4,FR,France
199027,3,2948,793,5103,5,1,9,FR,France
199026,3,7236,2651,11821,13,5,21,FR,France
199025,3,7879,3136,12622,14,6,22,FR,France
199024,3,5727,2460,8994,10,4,16,FR,France
199023,3,3655,1043,6267,6,1,11,FR,France
199022,3,4196,1292,7100,7,2,12,FR,France
199021,3,1004,0,2367,2,0,4,FR,France
199020,3,4506,1771,7241,8,3,13,FR,France
199019,3,5897,2440,9354,10,4,16,FR,France
199018,3,1738,141,3335,3,0,6,FR,France
199017,3,5278,2197,8359,9,4,14,FR,France
199016,3,8129,3754,12504,14,6,22,FR,France
199015,3,11707,5831,17583,21,11,31,FR,France
199014,3,12862,8177,17547,23,15,31,FR,France
199013,3,21879,15088,28670,39,27,51,FR,France
199012,3,17035,11135,22935,30,20,40,FR,France
199011,3,20018,14311,25725,35,25,45,FR,France
199010,3,16294,11045,21543,29,20,38,FR,France
199009,3,21793,15460,28126,39,28,50,FR,France
199008,3,26110,19342,32878,46,34,58,FR,France
199007,3,61742,49720,73764,109,88,130,FR,France
199006,3,399984,353345,446623,707,625,789,FR,France
199005,3,161765,146354,177176,286,259,313,FR,France
199004,3,287771,267698,307844,509,474,544,FR,France
199003,3,315466,296550,334382,558,525,591,FR,France
199002,3,345060,326087,364033,610,576,644,FR,France
199001,3,483600,460913,506287,855,815,895,FR,France
198952,3,581149,556023,606275,1035,990,1080,FR,France
198951,3,821540,793846,849234,1463,1414,1512,FR,France
198950,3,749283,723633,774933,1334,1288,1380,FR,France
198949,3,358043,340053,376033,638,606,670,FR,France
198948,3,119087,108253,129921,212,193,231,FR,France
198947,3,40963,33897,48029,73,60,86,FR,France
198946,3,23547,17952,29142,42,32,52,FR,France
198945,3,22711,16999,28423,40,30,50,FR,France
198944,3,23405,17475,29335,42,31,53,FR,France
198943,3,29549,23287,35811,53,42,64,FR,France
198942,3,39410,32172,46648,70,57,83,FR,France
198941,3,43763,35245,52281,78,63,93,FR,France
198940,3,31453,24288,38618,56,43,69,FR,France
198939,3,24622,18425,30819,44,33,55,FR,France
198938,3,18296,13483,23109,33,24,42,FR,France
198937,3,12022,8082,15962,21,14,28,FR,France
198936,3,4769,2299,7239,8,4,12,FR,France
198935,3,4661,1696,7626,8,3,13,FR,France
198934,3,6039,2185,9893,11,4,18,FR,France
198933,3,7940,3858,12022,14,7,21,FR,France
198932,3,7114,2361,11867,13,5,21,FR,France
198931,3,2721,0,5478,5,0,10,FR,France
198930,3,3168,561,5775,6,1,11,FR,France
198929,3,3909,1504,6314,7,3,11,FR,France
198928,3,1284,105,2463,2,0,4,FR,France
198927,3,3641,1350,5932,6,2,10,FR,France
198926,3,5753,2885,8621,10,5,15,FR,France
198925,3,6299,3454,9144,11,6,16,FR,France
198924,3,6337,3537,9137,11,6,16,FR,France
198923,3,11779,7984,15574,21,14,28,FR,France
198922,3,9104,4764,13444,16,8,24,FR,France
198921,3,9554,4316,14792,17,8,26,FR,France
198920,3,6093,1023,11163,11,2,20,FR,France
198919,3,0,,,0,,,FR,France
198918,3,13452,1365,25539,24,2,46,FR,France
198917,3,10949,7147,14751,19,12,26,FR,France
198916,3,10908,7494,14322,19,13,25,FR,France
198915,3,9667,6209,13125,17,11,23,FR,France
198914,3,15230,10469,19991,27,19,35,FR,France
198913,3,10564,6767,14361,19,12,26,FR,France
198912,3,13419,9542,17296,24,17,31,FR,France
198911,3,16633,12140,21126,30,22,38,FR,France
198910,3,12387,8750,16024,22,16,28,FR,France
198909,3,12895,9183,16607,23,16,30,FR,France
198908,3,19746,15258,24234,35,27,43,FR,France
198907,3,27277,21760,32794,49,39,59,FR,France
198906,3,47844,40320,55368,85,72,98,FR,France
198905,3,52840,45665,60015,94,81,107,FR,France
198904,3,54942,47750,62134,98,85,111,FR,France
198903,3,66010,58065,73955,118,104,132,FR,France
198902,3,112284,102003,122565,200,182,218,FR,France
198901,3,202266,188305,216227,360,335,385,FR,France
198852,3,467971,447033,488909,837,800,874,FR,France
198851,3,872748,846468,899028,1562,1515,1609,FR,France
198850,3,1001824,974799,1028849,1793,1745,1841,FR,France
198849,3,966523,940068,992978,1729,1682,1776,FR,France
198848,3,637811,614785,660837,1141,1100,1182,FR,France
198847,3,246062,231234,260890,440,413,467,FR,France
198846,3,92484,83160,101808,165,148,182,FR,France
198845,3,53940,46148,61732,97,83,111,FR,France
198844,3,42106,35336,48876,75,63,87,FR,France
198843,3,38252,31909,44595,68,57,79,FR,France
198842,3,45495,38467,52523,81,68,94,FR,France
198841,3,46336,39344,53328,83,70,96,FR,France
198840,3,39882,33507,46257,71,60,82,FR,France
198839,3,43730,36755,50705,78,66,90,FR,France
198838,3,35243,29367,41119,63,52,74,FR,France
198837,3,15537,11911,19163,28,22,34,FR,France
198836,3,7539,4840,10238,13,8,18,FR,France
198835,3,7797,4762,10832,14,9,19,FR,France
198834,3,4950,2005,7895,9,4,14,FR,France
198833,3,7937,3861,12013,14,7,21,FR,France
198832,3,7033,2595,11471,13,5,21,FR,France
198831,3,8758,3591,13925,16,7,25,FR,France
198830,3,4205,1224,7186,8,3,13,FR,France
198829,3,6103,1013,11193,11,2,20,FR,France
198828,3,8562,3483,13641,15,6,24,FR,France
198827,3,4690,2196,7184,8,4,12,FR,France
198826,3,7065,3905,10225,13,7,19,FR,France
198825,3,7657,4664,10650,14,9,19,FR,France
198824,3,6676,3978,9374,12,7,17,FR,France
198823,3,8695,5755,11635,16,11,21,FR,France
198822,3,11566,8282,14850,21,15,27,FR,France
198821,3,11107,7742,14472,20,14,26,FR,France
198820,3,14118,10223,18013,25,18,32,FR,France
198819,3,18260,13847,22673,33,25,41,FR,France
198818,3,20415,16281,24549,37,30,44,FR,France
198817,3,21750,17436,26064,39,31,47,FR,France
198816,3,33730,27496,39964,60,49,71,FR,France
198815,3,70616,61754,79478,126,110,142,FR,France
198814,3,123868,113211,134525,222,203,241,FR,France
198813,3,193710,181519,205901,347,325,369,FR,France
198812,3,283445,268834,298056,507,481,533,FR,France
198811,3,316175,300858,331492,566,539,593,FR,France
198810,3,235142,222004,248280,421,397,445,FR,France
198809,3,135564,125263,145865,243,225,261,FR,France
198808,3,87753,78449,97057,157,140,174,FR,France
198807,3,77099,68423,85775,138,122,154,FR,France
198806,3,69349,61502,77196,124,110,138,FR,France
198805,3,72705,64952,80458,130,116,144,FR,France
198804,3,72818,64944,80692,130,116,144,FR,France
198803,3,68869,60922,76816,123,109,137,FR,France
198802,3,59743,51907,67579,107,93,121,FR,France
198801,3,60929,52573,69285,109,94,124,FR,France
198753,3,47257,38170,56344,85,69,101,FR,France
198752,3,11935,2353,21517,21,4,38,FR,France
198751,3,47744,34266,61222,86,62,110,FR,France
198750,3,57767,50181,65353,104,90,118,FR,France
198749,3,49380,42461,56299,89,77,101,FR,France
198748,3,41871,35115,48627,75,63,87,FR,France
198747,3,29688,23465,35911,53,42,64,FR,France
198746,3,37216,30199,44233,67,54,80,FR,France
198745,3,35456,29024,41888,64,52,76,FR,France
198744,3,41024,33829,48219,74,61,87,FR,France
198743,3,46356,38370,54342,83,69,97,FR,France
198742,3,38021,30236,45806,68,54,82,FR,France
198741,3,42021,32016,52026,76,58,94,FR,France
198740,3,24641,15930,33352,44,28,60,FR,France
198739,3,32328,23548,41108,58,42,74,FR,France
198738,3,16782,11870,21694,30,21,39,FR,France
198737,3,11208,6542,15874,20,12,28,FR,France
198736,3,7906,4014,11798,14,7,21,FR,France
198735,3,6149,2970,9328,11,5,17,FR,France
198734,3,6631,2734,10528,12,5,19,FR,France
198733,3,6404,1834,10974,12,4,20,FR,France
198732,3,7215,2353,12077,13,4,22,FR,France
198731,3,8233,3655,12811,15,7,23,FR,France
198730,3,4642,1301,7983,8,2,14,FR,France
198729,3,4389,913,7865,8,2,14,FR,France
198728,3,2702,138,5266,5,0,10,FR,France
198727,3,10171,5904,14438,18,10,26,FR,France
198726,3,12341,7824,16858,22,14,30,FR,France
198725,3,23413,15490,31336,42,28,56,FR,France
198724,3,11289,7282,15296,20,13,27,FR,France
198723,3,15857,10943,20771,29,20,38,FR,France
198722,3,14887,9743,20031,27,18,36,FR,France
198721,3,17619,12649,22589,32,23,41,FR,France
198720,3,10344,6454,14234,19,12,26,FR,France
198719,3,12539,7943,17135,23,15,31,FR,France
198718,3,16095,10330,21860,29,19,39,FR,France
198717,3,21256,14850,27662,38,26,50,FR,France
198716,3,32416,25100,39732,58,45,71,FR,France
198715,3,44292,36456,52128,80,66,94,FR,France
198714,3,50642,41866,59418,91,75,107,FR,France
198713,3,62246,52749,71743,112,95,129,FR,France
198712,3,59625,50653,68597,107,91,123,FR,France
198711,3,53561,45035,62087,96,81,111,FR,France
198710,3,93067,80519,105615,167,144,190,FR,France
198709,3,147006,133519,160493,264,240,288,FR,France
198708,3,217779,202179,233379,391,363,419,FR,France
198707,3,288180,270718,305642,518,487,549,FR,France
198706,3,296702,279051,314353,533,501,565,FR,France
198705,3,236046,219483,252609,424,394,454,FR,France
198704,3,158333,143625,173041,285,259,311,FR,France
198703,3,103841,91699,115983,187,165,209,FR,France
198702,3,74213,64014,84412,133,115,151,FR,France
198701,3,69745,59207,80283,125,106,144,FR,France
198652,3,76263,64958,87568,138,118,158,FR,France
198651,3,72920,63047,82793,132,114,150,FR,France
198650,3,73413,64019,82807,133,116,150,FR,France
198649,3,56296,48229,64363,102,87,117,FR,France
198648,3,46031,38578,53484,83,70,96,FR,France
198647,3,36740,29710,43770,66,53,79,FR,France
198646,3,32134,25327,38941,58,46,70,FR,France
198645,3,38964,31382,46546,70,56,84,FR,France
198644,3,28646,22048,35244,52,40,64,FR,France
198643,3,27532,20842,34222,50,38,62,FR,France
198642,3,31815,25124,38506,57,45,69,FR,France
198641,3,32864,25939,39789,59,47,71,FR,France
198640,3,33516,26776,40256,60,48,72,FR,France
198639,3,28665,22477,34853,52,41,63,FR,France
198638,3,26615,20479,32751,48,37,59,FR,France
198637,3,15998,10802,21194,29,20,38,FR,France
198636,3,9182,4982,13382,17,9,25,FR,France
198635,3,10587,4470,16704,19,8,30,FR,France
198634,3,5762,858,10666,10,1,19,FR,France
198633,3,3115,554,5676,6,1,11,FR,France
198632,3,1027,0,2311,2,0,4,FR,France
198631,3,2247,0,4574,4,0,8,FR,France
198630,3,2346,141,4551,4,0,8,FR,France
198629,3,3654,931,6377,7,2,12,FR,France
198628,3,2327,0,5318,4,0,9,FR,France
198627,3,7529,3353,11705,14,6,22,FR,France
198626,3,8778,5106,12450,16,9,23,FR,France
198625,3,11075,6804,15346,20,12,28,FR,France
198624,3,11160,7252,15068,20,13,27,FR,France
198623,3,14372,9896,18848,26,18,34,FR,France
198622,3,9717,5594,13840,18,11,25,FR,France
198621,3,14460,9575,19345,26,17,35,FR,France
198620,3,17133,12106,22160,31,22,40,FR,France
198619,3,22177,16008,28346,40,29,51,FR,France
198618,3,31736,24115,39357,57,43,71,FR,France
198617,3,34874,27440,42308,63,50,76,FR,France
198616,3,41196,32894,49498,74,59,89,FR,France
198615,3,42659,33537,51781,77,61,93,FR,France
198614,3,49792,39728,59856,90,72,108,FR,France
198613,3,87249,63562,110936,157,114,200,FR,France
198612,3,124777,97237,152317,225,175,275,FR,France
198611,3,168146,151035,185257,303,272,334,FR,France
198610,3,257305,231225,283385,464,417,511,FR,France
198609,3,321140,296644,345636,580,536,624,FR,France
198608,3,448786,419219,478353,810,757,863,FR,France
198607,3,490723,460150,521296,886,831,941,FR,France
198606,3,439300,411764,466836,793,743,843,FR,France
198605,3,364727,339868,389586,658,613,703,FR,France
198604,3,348509,322464,374554,629,582,676,FR,France
198603,3,271539,248654,294424,490,449,531,FR,France
198602,3,178138,159344,196932,322,288,356,FR,France
198601,3,112614,96539,128689,203,174,232,FR,France
198552,3,86452,72250,100654,157,131,183,FR,France
198551,3,114666,99538,129794,208,181,235,FR,France
198550,3,86031,73604,98458,156,133,179,FR,France
198549,3,65931,55326,76536,120,101,139,FR,France
198548,3,68291,57581,79001,124,105,143,FR,France
198547,3,66177,55221,77133,120,100,140,FR,France
198546,3,70534,58788,82280,128,107,149,FR,France
198545,3,57514,47167,67861,104,85,123,FR,France
198544,3,67356,55744,78968,122,101,143,FR,France
198543,3,87402,74208,100596,158,134,182,FR,France
198542,3,76218,64604,87832,138,117,159,FR,France
198541,3,45712,36755,54669,83,67,99,FR,France
198540,3,49739,40335,59143,90,73,107,FR,France
198539,3,39819,31234,48404,72,56,88,FR,France
198538,3,27605,20614,34596,50,37,63,FR,France
198537,3,22219,15626,28812,40,28,52,FR,France
198536,3,27986,18992,36980,51,35,67,FR,France
198535,3,30215,18546,41884,55,34,76,FR,France
198534,3,40389,24786,55992,73,45,101,FR,France
198533,3,22611,8819,36403,41,16,66,FR,France
198532,3,7488,1851,13125,14,4,24,FR,France
198531,3,16958,8479,25437,31,16,46,FR,France
198530,3,11598,5507,17689,21,10,32,FR,France
198529,3,13054,6474,19634,24,12,36,FR,France
198528,3,14588,7659,21517,26,13,39,FR,France
198527,3,19670,11761,27579,36,22,50,FR,France
198526,3,18609,12637,24581,34,23,45,FR,France
198525,3,19362,12454,26270,35,22,48,FR,France
198524,3,19855,13577,26133,36,25,47,FR,France
198523,3,19373,10010,28736,35,18,52,FR,France
198522,3,24099,17190,31008,44,31,57,FR,France
198521,3,26096,19621,32571,47,35,59,FR,France
198520,3,27896,20885,34907,51,38,64,FR,France
198519,3,43154,32821,53487,78,59,97,FR,France
198518,3,40555,29935,51175,74,55,93,FR,France
198517,3,34053,24366,43740,62,44,80,FR,France
198516,3,50362,36451,64273,91,66,116,FR,France
198515,3,63881,45538,82224,116,83,149,FR,France
198514,3,134545,114400,154690,244,207,281,FR,France
198513,3,197206,176080,218332,357,319,395,FR,France
198512,3,245240,223304,267176,445,405,485,FR,France
198511,3,276205,252399,300011,501,458,544,FR,France
198510,3,353231,326279,380183,640,591,689,FR,France
198509,3,369895,341109,398681,670,618,722,FR,France
198508,3,389886,359529,420243,707,652,762,FR,France
198507,3,471852,432599,511105,855,784,926,FR,France
198506,3,565825,518011,613639,1026,939,1113,FR,France
198505,3,637302,592795,681809,1155,1074,1236,FR,France
198504,3,424937,390794,459080,770,708,832,FR,France
198503,3,213901,174689,253113,388,317,459,FR,France
198502,3,97586,80949,114223,177,147,207,FR,France
198501,3,85489,65918,105060,155,120,190,FR,France
198452,3,84830,60602,109058,154,110,198,FR,France
198451,3,101726,80242,123210,185,146,224,FR,France
198450,3,123680,101401,145959,225,184,266,FR,France
198449,3,101073,81684,120462,184,149,219,FR,France
198448,3,78620,60634,96606,143,110,176,FR,France
198447,3,72029,54274,89784,131,99,163,FR,France
198446,3,87330,67686,106974,159,123,195,FR,France
198445,3,135223,101414,169032,246,184,308,FR,France
198444,3,68422,20056,116788,125,37,213,FR,France
module3/exo1/analyse-syndrome-grippal.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Analyse de l'incidence du syndrôme grippal"
author: "Konrad Hinsen"
output:
pdf_document:
toc: true
html_document:
toc: true
theme: journal
documentclass: article
classoption: a4paper
header-includes:
- \usepackage[french]{babel}
- \usepackage[upright]{fourier}
- \hypersetup{colorlinks=true,pagebackref=true}
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Préparation des données
Les données de l'incidence du syndrome grippal sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1984 et se termine avec une semaine récente. L'URL est:
```{r}
data_url = "http://www.sentiweb.fr/datasets/incidence-PAY-3.csv"
```
Voici l'explication des colonnes donnée sur le [sur le site d'origine](https://ns.sentiweb.fr/incidence/csv-schema-v1.json):
| Nom de colonne | Libellé de colonne |
|----------------+-----------------------------------------------------------------------------------------------------------------------------------|
| `week` | Semaine calendaire (ISO 8601) |
| `indicator` | Code de l'indicateur de surveillance |
| `inc` | Estimation de l'incidence de consultations en nombre de cas |
| `inc_low` | Estimation de la borne inférieure de l'IC95% du nombre de cas de consultation |
| `inc_up` | Estimation de la borne supérieure de l'IC95% du nombre de cas de consultation |
| `inc100` | Estimation du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |
| `inc100_low` | Estimation de la borne inférieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |
| `inc100_up` | Estimation de la borne supérieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |
| `geo_insee` | Code de la zone géographique concernée (Code INSEE) http://www.insee.fr/fr/methodes/nomenclatures/cog/ |
| `geo_name` | Libellé de la zone géographique (ce libellé peut être modifié sans préavis) |
La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skip=1`.
### Téléchargement
```{r}
data = read.csv(data_url, skip=1)
```
Regardons ce que nous avons obtenu:
```{r}
head(data)
tail(data)
```
Y a-t-il des points manquants dans nos données ?
```{r}
na_records = apply(data, 1, function (x) any(is.na(x)))
data[na_records,]
```
Les deux colonnes qui nous intéressent sont `week` et `inc`. Vérifions leurs classes:
```{r}
class(data$week)
class(data$inc)
```
Ce sont des entiers, tout va bien !
### Conversion des numéros de semaine
La gestion des dates est toujours un sujet délicat. Il y a un grand nombre de conventions différentes qu'il ne faut pas confondre. Notre jeux de données utilise un format que peu de logiciels savent traiter: les semaines en format [ISO-8601](https://en.wikipedia.org/wiki/ISO_8601). En `R`, il est géré par la bibliothèque [parsedate](https://cran.r-project.org/package=parsedate):
```{r}
library(parsedate)
```
Pour faciliter le traitement suivant, nous remplaçons ces semaines par les dates qui correspondent aux lundis. Voici une petite fonction qui fait la conversion pour une seule valeur:
```{r}
convert_week = function(w) {
ws = paste(w)
iso = paste0(substring(ws, 1, 4), "-W", substring(ws, 5, 6))
as.character(parse_iso_8601(iso))
}
```
Nous appliquons cette fonction à tous les points, créant une nouvelle colonne `date` dans notre jeu de données:
```{r}
data$date = as.Date(convert_week(data$week))
```
Vérifions qu'elle est de classe `Date`:
```{r}
class(data$date)
```
Les points sont dans l'ordre chronologique inverse, il est donc utile de les trier:
```{r}
data = data[order(data$date),]
```
C'est l'occasion pour faire une vérification: nos dates doivent être séparées d'exactement sept jours:
```{r}
all(diff(data$date) == 7)
```
### Inspection
Regardons enfin à quoi ressemblent nos données !
```{r}
plot(data$date, data$inc, type="l", xlab="Date", ylab="Incidence hebdomadaire")
```
Un zoom sur les dernières années montre mieux la localisation des pics en hiver. Le creux des incidences se trouve en été.
```{r}
with(tail(data, 200), plot(date, inc, type="l", xlab="Date", ylab="Incidence hebdomadaire"))
```
## L'incidence annuelle
### Calcul
Étant donné que le pic de l'épidémie se situe en hiver, à cheval entre deux années civiles, nous définissons la période de référence entre deux minima de l'incidence, du 1er août de l'année $N$ au 1er août de l'année $N+1$. Nous mettons l'année $N+1$ comme étiquette sur cette année décalée, car le pic de l'épidémie est toujours au début de l'année $N+1$. Comme l'incidence de syndrome grippal est très faible en été, cette modification ne risque pas de fausser nos conclusions.
L'argument `na.rm=True` dans la sommation précise qu'il faut supprimer les points manquants. Ce choix est raisonnable car il n'y a qu'un seul point manquant, dont l'impact ne peut pas être très fort.
```{r}
pic_annuel = function(annee) {
debut = paste0(annee-1,"-08-01")
fin = paste0(annee,"-08-01")
semaines = data$date > debut & data$date <= fin
sum(data$inc[semaines], na.rm=TRUE)
}
```
Nous devons aussi faire attention aux premières et dernières années de notre jeux de données. Les données commencent en octobre 1984, ce qui ne permet pas de quantifier complètement le pic attribué à 1985. Nous l'enlevons donc de notre analyse. Par contre, pour une exécution en octobre 2018, les données se terminent après le 1er août 2018, ce qui nous permet d'inclure cette année.
```{r}
annees = 1986:2018
```
Nous créons un nouveau jeu de données pour l'incidence annuelle, en applicant la fonction `pic_annuel` à chaque année:
```{r}
inc_annuelle = data.frame(annee = annees,
incidence = sapply(annees, pic_annuel))
head(inc_annuelle)
```
### Inspection
Voici les incidences annuelles en graphique:
```{r}
plot(inc_annuelle, type="p", xlab="Année", ylab="Incidence annuelle")
```
### Identification des épidémies les plus fortes
Une liste triée par ordre décroissant d'incidence annuelle permet de plus facilement repérer les valeurs les plus élevées:
```{r}
head(inc_annuelle[order(-inc_annuelle$incidence),])
```
Enfin, un histogramme montre bien que les épidémies fortes, qui touchent environ 10% de la population française, sont assez rares: il y en eu trois au cours des 35 dernières années.
```{r}
hist(inc_annuelle$incidence, breaks=10, xlab="Incidence annuelle", ylab="Nb d'observations", main="")
```
module3/exo1/analyse-syndrome-grippal.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Incidence du syndrome grippal"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import isoweek"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Les données de l'incidence du syndrome grippal sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1984 et se termine avec une semaine récente."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Voici l'explication des colonnes données [sur le site d'origine](https://ns.sentiweb.fr/incidence/csv-schema-v1.json):\n",
"\n",
"| Nom de colonne | Libellé de colonne |\n",
"|----------------|-----------------------------------------------------------------------------------------------------------------------------------|\n",
"| week | Semaine calendaire (ISO 8601) |\n",
"| indicator | Code de l'indicateur de surveillance |\n",
"| inc | Estimation de l'incidence de consultations en nombre de cas |\n",
"| inc_low | Estimation de la borne inférieure de l'IC95% du nombre de cas de consultation |\n",
"| inc_up | Estimation de la borne supérieure de l'IC95% du nombre de cas de consultation |\n",
"| inc100 | Estimation du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |\n",
"| inc100_low | Estimation de la borne inférieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |\n",
"| inc100_up | Estimation de la borne supérieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |\n",
"| geo_insee | Code de la zone géographique concernée (Code INSEE) http://www.insee.fr/fr/methodes/nomenclatures/cog/ |\n",
"| geo_name | Libellé de la zone géographique (ce libellé peut être modifié sans préavis) |\n",
"\n",
"La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Y a-t-il des points manquants dans ce jeux de données ? Oui, la semaine 19 de l'année 1989 n'a pas de valeurs associées."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"raw_data[raw_data.isnull().any(axis=1)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nous éliminons ce point, ce qui n'a pas d'impact fort sur notre analyse qui est assez simple."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"data = raw_data.dropna().copy()\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nos données utilisent une convention inhabituelle: le numéro de\n",
"semaine est collé à l'année, donnant l'impression qu'il s'agit\n",
"de nombre entier. C'est comme ça que Pandas les interprète.\n",
" \n",
"Un deuxième problème est que Pandas ne comprend pas les numéros de\n",
"semaine. Il faut lui fournir les dates de début et de fin de\n",
"semaine. Nous utilisons pour cela la bibliothèque `isoweek`.\n",
"\n",
"Comme la conversion des semaines est devenu assez complexe, nous\n",
"écrivons une petite fonction Python pour cela. Ensuite, nous\n",
"l'appliquons à tous les points de nos donnés. Les résultats vont\n",
"dans une nouvelle colonne 'period'."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"def convert_week(year_and_week_int):\n",
" year_and_week_str = str(year_and_week_int)\n",
" year = int(year_and_week_str[:4])\n",
" week = int(year_and_week_str[4:])\n",
" w = isoweek.Week(year, week)\n",
" return pd.Period(w.day(0), 'W')\n",
"\n",
"data['period'] = [convert_week(yw) for yw in data['week']]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Il restent deux petites modifications à faire.\n",
"\n",
"Premièrement, nous définissons les périodes d'observation\n",
"comme nouvel index de notre jeux de données. Ceci en fait\n",
"une suite chronologique, ce qui sera pratique par la suite.\n",
"\n",
"Deuxièmement, nous trions les points par période, dans\n",
"le sens chronologique."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sorted_data = data.set_index('period').sort_index()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nous vérifions la cohérence des données. Entre la fin d'une période et\n",
"le début de la période qui suit, la différence temporelle doit être\n",
"zéro, ou au moins très faible. Nous laissons une \"marge d'erreur\"\n",
"d'une seconde.\n",
"\n",
"Ceci s'avère tout à fait juste sauf pour deux périodes consécutives\n",
"entre lesquelles il manque une semaine.\n",
"\n",
"Nous reconnaissons ces dates: c'est la semaine sans observations\n",
"que nous avions supprimées !"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"periods = sorted_data.index\n",
"for p1, p2 in zip(periods[:-1], periods[1:]):\n",
" delta = p2.to_timestamp() - p1.end_time\n",
" if delta > pd.Timedelta('1s'):\n",
" print(p1, p2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Un premier regard sur les données !"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sorted_data['inc'].plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Un zoom sur les dernières années montre mieux la situation des pics en hiver. Le creux des incidences se trouve en été."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sorted_data['inc'][-200:].plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Etude de l'incidence annuelle"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Etant donné que le pic de l'épidémie se situe en hiver, à cheval\n",
"entre deux années civiles, nous définissons la période de référence\n",
"entre deux minima de l'incidence, du 1er août de l'année $N$ au\n",
"1er août de l'année $N+1$.\n",
"\n",
"Notre tâche est un peu compliquée par le fait que l'année ne comporte\n",
"pas un nombre entier de semaines. Nous modifions donc un peu nos périodes\n",
"de référence: à la place du 1er août de chaque année, nous utilisons le\n",
"premier jour de la semaine qui contient le 1er août.\n",
"\n",
"Comme l'incidence de syndrome grippal est très faible en été, cette\n",
"modification ne risque pas de fausser nos conclusions.\n",
"\n",
"Encore un petit détail: les données commencent an octobre 1984, ce qui\n",
"rend la première année incomplète. Nous commençons donc l'analyse en 1985."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
" for y in range(1985,\n",
" sorted_data.index[-1].year)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"En partant de cette liste des semaines qui contiennent un 1er août, nous obtenons nos intervalles d'environ un an comme les périodes entre deux semaines adjacentes dans cette liste. Nous calculons les sommes des incidences hebdomadaires pour toutes ces périodes.\n",
"\n",
"Nous vérifions également que ces périodes contiennent entre 51 et 52 semaines, pour nous protéger contre des éventuelles erreurs dans notre code."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"year = []\n",
"yearly_incidence = []\n",
"for week1, week2 in zip(first_august_week[:-1],\n",
" first_august_week[1:]):\n",
" one_year = sorted_data['inc'][week1:week2-1]\n",
" assert abs(len(one_year)-52) < 2\n",
" yearly_incidence.append(one_year.sum())\n",
" year.append(week2.year)\n",
"yearly_incidence = pd.Series(data=yearly_incidence, index=year)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Voici les incidences annuelles."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"yearly_incidence.plot(style='*')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Une liste triée permet de plus facilement répérer les valeurs les plus élevées (à la fin)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"yearly_incidence.sort_values()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Enfin, un histogramme montre bien que les épidémies fortes, qui touchent environ 10% de la population\n",
" française, sont assez rares: il y en eu trois au cours des 35 dernières années."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"yearly_incidence.hist(xrot=20)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
module3/exo1/analyse-syndrome-grippal.org 0 → 100644
View file @ e8e42a72
#+TITLE: Incidence du syndrôme grippal
#+LANGUAGE: fr
#+OPTIONS: *:nil num:1 toc:t
# #+HTML_HEAD: <link rel="stylesheet" title="Standard" href="http://orgmode.org/worg/style/worg.css" type="text/css" />
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
#+PROPERTY: header-args :session :exports both
* Préface
Pour exécuter le code de cette analyse, il faut disposer des logiciels suivants:
** Emacs 25 ou plus
Une version plus ancienne d'Emacs devrait suffire. Pour une version antérieure à 26, il faut installer une version récente (9.x) d'org-mode.
** Python 3.6 ou plus
Nous utilisons le traitement de dates en format ISO 8601, qui a été implémenté en Python seulement avec la version 3.6.
#+BEGIN_SRC python :results output
import sys
if sys.version_info.major < 3 or sys.version_info.minor < 6:
print("Veuillez utiliser Python 3.6 (ou plus) !")
#+END_SRC
#+BEGIN_SRC emacs-lisp :results output
(unless (featurep 'ob-python)
(print "Veuillez activer python dans org-babel (org-babel-do-languages) !"))
#+END_SRC
** R 3.4
Nous n'utilisons que des fonctionnalités de base du langage R, une version antérieure devrait suffire.
#+BEGIN_SRC emacs-lisp :results output
(unless (featurep 'ob-R)
(print "Veuillez activer R dans org-babel (org-babel-do-languages) !"))
#+END_SRC
* Préparation des données
Les données de l'incidence du syndrome grippal sont disponibles du site Web du [[http://www.sentiweb.fr/][Réseau Sentinelles]]. Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période d'observation. Nous téléchargeons toujours le jeu de données complet (rien d'autre n'est proposé), qui commence en 1984 et se termine avec une semaine récente. L'URL est:
#+NAME: data-url
http://www.sentiweb.fr/datasets/incidence-PAY-3.csv
Voici l'explication des colonnes donnée sur [[https://ns.sentiweb.fr/incidence/csv-schema-v1.json][le site d'origine:]]
| Nom de colonne | Libellé de colonne |
|----------------+-----------------------------------------------------------------------------------------------------------------------------------|
| ~week~ | Semaine calendaire (ISO 8601) |
| ~indicator~ | Code de l'indicateur de surveillance |
| ~inc~ | Estimation de l'incidence de consultations en nombre de cas |
| ~inc_low~ | Estimation de la borne inférieure de l'IC95% du nombre de cas de consultation |
| ~inc_up~ | Estimation de la borne supérieure de l'IC95% du nombre de cas de consultation |
| ~inc100~ | Estimation du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |
| ~inc100_low~ | Estimation de la borne inférieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |
| ~inc100_up~ | Estimation de la borne supérieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |
| ~geo_insee~ | Code de la zone géographique concernée (Code INSEE) http://www.insee.fr/fr/methodes/nomenclatures/cog/ |
| ~geo_name~ | Libellé de la zone géographique (ce libellé peut être modifié sans préavis) |
L'indication d'une semaine calendaire en format [[https://en.wikipedia.org/wiki/ISO_8601][ISO-8601]] est populaire en Europe, mais peu utilisée aux Etats-Unis. Ceci explique peut-être que peu de logiciels savent gérer ce format. Le langage Python le fait depuis la version 3.6. Nous utilisons donc ce langage pour la préparation de nos données, ce qui a l'avantage de ne nécessiter aucune bibliothèque supplémentaire. (Note: nous expliquerons dans le module 4 pourquoi il est avantageux pour la réproductibilité de se limiter à un minimum de bibliothèques.)
** Téléchargement
Après avoir téléchargé les données, nous commençons par l'extraction des données qui nous intéressent. D'abord nous découpons le contenu du fichier en lignes, dont nous jetons la première qui ne contient qu'un commentaire. Les autres lignes sont découpées en colonnes.
#+BEGIN_SRC python :results silent :var data_url=data-url
from urllib.request import urlopen
data = urlopen(data_url).read()
lines = data.decode('latin-1').strip().split('\n')
data_lines = lines[1:]
table = [line.split(',') for line in data_lines]
#+END_SRC
Regardons ce que nous avons obtenu:
#+BEGIN_SRC python :results value
table[:5]
#+END_SRC
** Recherche de données manquantes
Il y a malheureusement beaucoup de façon d'indiquer l'absence d'un point de données. Nous testons ici seulement pour la présence de champs vides. Il faudrait aussi rechercher des valeurs non-numériques dans les colonnes à priori numériques. Nous ne le faisons pas ici, mais une vérification ultérieure capterait des telles anomalies.
Nous construisons un nouveau jeu de données sans les lignes qui contiennent des champs vides. Nous affichons ces lignes pour en garder une trace.
#+BEGIN_SRC python :results output
valid_table = []
for row in table:
missing = any([column == '' for column in row])
if missing:
print(row)
else:
valid_table.append(row)
#+END_SRC
** Extraction des colonnes utilisées
Il y a deux colonnes qui nous intéressent: la première (~"week"~) et la troisième (~"inc"~). Nous vérifions leurs noms dans l'en-tête, que nous effaçons par la suite. Enfin, nous créons un tableau avec les deux colonnes pour le traitement suivant.
#+BEGIN_SRC python :results silent
week = [row[0] for row in valid_table]
assert week[0] == 'week'
del week[0]
inc = [row[2] for row in valid_table]
assert inc[0] == 'inc
del inc[0]
data = list(zip(week, inc))
#+END_SRC
Regardons les premières et les dernières lignes. Nous insérons ~None~ pour indiquer à org-mode la séparation entre les trois sections du tableau: en-tête, début des données, fin des données.
#+BEGIN_SRC python :results value
[('week', 'inc'), None] + data[:5] + [None] + data[-5:]
#+END_SRC
** Vérification
Il est toujours prudent de vérifier si les données semblent crédibles. Nous savons que les semaines sont données par six chiffres (quatre pour l'année et deux pour la semaine), et que les incidences sont des nombres entiers positifs.
#+BEGIN_SRC python :results output
for week, inc in data:
if len(week) != 6 or not week.isdigit():
print("Valeur suspecte dans la colonne 'week': ", (week, inc))
if not inc.isdigit():
print("Valeur suspecte dans la colonne 'inc': ", (week, inc))
#+END_SRC
Pas de problème !
** Conversions
Pour faciliter les traitements suivants, nous remplaçons les numéros de semaine ISO par les dates qui correspondent aux lundis. A cette occasion, nous trions aussi les données par la date, et nous transformons les incidences en nombres entiers.
#+BEGIN_SRC python :results silent
import datetime
converted_data = [(datetime.datetime.strptime(year_and_week + ":1" , '%G%V:%u').date(),
int(inc))
for year_and_week, inc in data]
converted_data.sort(key = lambda record: record[0])
#+END_SRC
Regardons de nouveau les premières et les dernières lignes:
#+BEGIN_SRC python :results value
str_data = [(str(date), str(inc)) for date, inc in converted_data]
[('date', 'inc'), None] + str_data[:5] + [None] + str_data[-5:]
#+END_SRC
** Vérification des dates
Nous faisons encore une vérification: nos dates doivent être séparées d'exactement une semaine, sauf autour du point manquant.
#+BEGIN_SRC python :results output
dates = [date for date, _ in converted_data]
for date1, date2 in zip(dates[:-1], dates[1:]):
if date2-date1 != datetime.timedelta(weeks=1):
print(f"Il y a {date2-date1} entre {date1} et {date2}")
#+END_SRC
** Passage Python -> R
Nous passons au langage R pour inspecter nos données, parce que l'analyse et la préparation de graphiques sont plus concises en R, sans nécessiter aucune bibliothèque supplémentaire.
Nous utilisons le mécanisme d'échange de données proposé par org-mode, ce qui nécessite un peu de code Python pour transformer les données dans le bon format.
#+NAME: data-for-R
#+BEGIN_SRC python :results silent
[('date', 'inc'), None] + [(str(date), inc) for date, inc in converted_data]
#+END_SRC
En R, les données arrivent sous forme d'un data frame, mais il faut encore convertir les dates, qui arrivent comme chaînes de caractères.
#+BEGIN_SRC R :results output :var data=data-for-R
data$date <- as.Date(data$date)
summary(data)
#+END_SRC
** Inspection
Regardons enfin à quoi ressemblent nos données !
#+BEGIN_SRC R :results output graphics :file inc-plot.png
plot(data, type="l", xlab="Date", ylab="Incidence hebdomadaire")
#+END_SRC
Un zoom sur les dernières années montre mieux la situation des pics en hiver. Le creux des incidences se trouve en été.
#+BEGIN_SRC R :results output graphics :file inc-plot-zoom.png
plot(tail(data, 200), type="l", xlab="Date", ylab="Incidence hebdomadaire")
#+END_SRC
* Étude de l'incidence annuelle
** Calcul de l'incidence annuelle
Étant donné que le pic de l'épidémie se situe en hiver, à cheval entre deux années civiles, nous définissons la période de référence entre deux minima de l'incidence, du 1er août de l'année /N/ au 1er août de l'année /N+1/. Nous mettons l'année /N+1/ comme étiquette sur cette année décalée, car le pic de l'épidémie est toujours au début de l'année /N+1/. Comme l'incidence du syndrome grippal est très faible en été, cette modification ne risque pas de fausser nos conclusions.
Voici une fonction qui calcule l'incidence annuelle en appliquant ces conventions.
#+BEGIN_SRC R :results silent
pic_annuel = function(annee) {
debut = paste0(annee-1,"-08-01")
fin = paste0(annee,"-08-01")
semaines = data$date > debut & data$date <= fin
sum(data$inc[semaines], na.rm=TRUE)
}
#+END_SRC
Nous devons aussi faire attention aux premières et dernières années de notre jeux de données. Les données commencent en octobre 1984, ce qui ne permet pas de quantifier complètement le pic attribué à l'année 1985. Nous le supprimons donc de notre analyse. Pour la même raison, nous arrêtons en 2018. Nous devons attendre les données pour juillet 2019 avant d'augmenter la dernière année à 2019.
#+BEGIN_SRC R :results silent
annees <- 1986:2018
#+END_SRC
#+BEGIN_SRC R :results value
inc_annuelle = data.frame(annee = annees,
incidence = sapply(annees, pic_annuel))
head(inc_annuelle)
#+END_SRC
** Inspection
Voici les incidences annuelles en graphique.
#+BEGIN_SRC R :results output graphics :file annual-inc-plot.png
plot(inc_annuelle, type="p", xlab="Année", ylab="Incidence annuelle")
#+END_SRC
** Identification des épidémies les plus fortes
Une liste triée par ordre décroissant d'incidence annuelle permet de plus facilement repérer les valeurs les plus élevées:
#+BEGIN_SRC R :results output
head(inc_annuelle[order(-inc_annuelle$incidence),])
#+END_SRC
Enfin, un histogramme montre bien que les épidémies fortes, qui touchent environ 10% de la population française, sont assez rares: il y en eu trois au cours des 35 dernières années.
#+BEGIN_SRC R :results output graphics :file annual-inc-hist.png
hist(inc_annuelle$incidence, breaks=10, xlab="Incidence annuelle", ylab="Nb d'observations", main="")
#+END_SRC
module3/exo1/influenza-like-illness-analysis.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Incidence of influenza-like illness in France"
author: "Konrad Hinsen"
output:
pdf_document:
toc: true
html_document:
toc: true
theme: journal
documentclass: article
classoption: a4paper
header-includes:
- \usepackage[french]{babel}
- \usepackage[upright]{fourier}
- \hypersetup{colorlinks=true,pagebackref=true}
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Data preprocessing
The data on the incidence of influenza-like illness are available from the Web site of the [Réseau Sentinelles](http://www.sentiweb.fr/). We download them as a file in CSV format, in which each line corresponds to a week in the observation period. Only the complete dataset, starting in 1984 and ending with a recent week, is available for download. The URL is:
```{r}
data_url = "http://www.sentiweb.fr/datasets/incidence-PAY-3.csv"
```
This is the documentation of the data from [the download site](https://ns.sentiweb.fr/incidence/csv-schema-v1.json):
| Column name | Description |
|--------------+---------------------------------------------------------------------------------------------------------------------------|
| `week` | ISO8601 Yearweek number as numeric (year*100 + week nubmer) |
| `indicator` | Unique identifier of the indicator, see metadata document https://www.sentiweb.fr/meta.json |
| `inc` | Estimated incidence value for the time step, in the geographic level |
| `inc_low` | Lower bound of the estimated incidence 95% Confidence Interval |
| `inc_up` | Upper bound of the estimated incidence 95% Confidence Interval |
| `inc100` | Estimated rate incidence per 100,000 inhabitants |
| `inc100_low` | Lower bound of the estimated incidence 95% Confidence Interval |
| `inc100_up` | Upper bound of the estimated rate incidence 95% Confidence Interval |
| `geo_insee` | Identifier of the geographic area, from INSEE https://www.insee.fr |
| `geo_name` | Geographic label of the area, corresponding to INSEE code. This label is not an id and is only provided for human reading |
### Download
The first line of the CSV file is a comment, which we ignore with `skip=1`.
```{r}
data = read.csv(data_url, skip=1)
```
Let's have a look at what we got:
```{r}
head(data)
tail(data)
```
Are there missing data points?
```{r}
na_records = apply(data, 1, function (x) any(is.na(x)))
data[na_records,]
```
The two relevant columns for us are `week` and `inc`. Let's verify their classes:
```{r}
class(data$week)
class(data$inc)
```
Integers, fine!
### Conversion of the week numbers
Date handling is always a delicate subject. There are many conventions that are easily confused. Our dataset uses the [ISO-8601](https://en.wikipedia.org/wiki/ISO_8601) week number format, which is popular in Europe but less so in North America. In `R`, it is handled by the library [parsedate](https://cran.r-project.org/package=parsedate):
```{r}
library(parsedate)
```
In order to facilitate the subsequent treatment, we replace the ISO week numbers by the dates of each week's Monday. This function does it for one value:
```{r}
convert_week = function(w) {
ws = paste(w)
iso = paste0(substring(ws, 1, 4), "-W", substring(ws, 5, 6))
as.character(parse_iso_8601(iso))
}
```
We apply it to all points, creating a new column `date` in our data frame:
```{r}
data$date = as.Date(convert_week(data$week))
```
Let's check that is has class `Date`:
```{r}
class(data$date)
```
The points are in inverse chronological order, so it's preferable to sort them:
```{r}
data = data[order(data$date),]
```
That's a good occasion for another check: our dates should be separated by exactly seven days:
```{r}
all(diff(data$date) == 7)
```
### Inspection
Finally we can look at a plot of our data!
```{r}
plot(data$date, data$inc, type="l", xlab="Date", ylab="Weekly incidence")
```
A zoom on the last few years makes the peaks in winter stand out more clearly.
```{r}
with(tail(data, 200), plot(date, inc, type="l", xlab="Date", ylab="Weekly incidence"))
```
## Annual incidence
### Computation
Since the peaks of the epidemic happen in winter, near the transition between calendar years, we define the reference period for the annual incidence from August 1st of year $N$ to August 1st of year $N+1$. We label this period as year $N+1$ because the peak is always located in year $N+1$. The very low incidence in summer ensures that the arbitrariness of the choice of reference period has no impact on our conclusions.
The argument `na.rm=True` in the sum indicates that missing data points are removed. This is a reasonable choice since there is only one missing point, whose impact cannot be very strong.
```{r}
yearly_peak = function(year) {
debut = paste0(year-1,"-08-01")
fin = paste0(year,"-08-01")
semaines = data$date > debut & data$date <= fin
sum(data$inc[semaines], na.rm=TRUE)
}
```
We must also be careful with the first and last years of the dataset. The data start in October 1984, meaning that we don't have all the data for the peak attributed to the year 1985. We therefore exclude it from the analysis. For the same reason, we define 2018 as the final year. We can increase this value to 2019 only when all data up to July 2019 is available.
```{r}
years = 1986:2018
```
We make a new data frame for the annual incidence, applying the function `yearly_peak` to each year:
```{r}
annnual_inc = data.frame(year = years,
incidence = sapply(years, yearly_peak))
head(annnual_inc)
```
### Inspection
A plot of the annual incidences:
```{r}
plot(annnual_inc, type="p", xlab="Année", ylab="Annual incidence")
```
### Identification of the strongest epidemics
A list sorted by decreasing annual incidence makes it easy to find the most important ones:
```{r}
head(annnual_inc[order(-annnual_inc$incidence),])
```
Finally, a histogram clearly shows the few very strong epidemics, which affect about 10% of the French population, but are rare: there were three of them in the course of 35 years. The typical epidemic affects only half as many people.
```{r}
hist(annnual_inc$incidence, breaks=10, xlab="Annual incidence", ylab="Number of observations", main="")
```
module3/exo1/influenza-like-illness-analysis.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Incidence of influenza-like illness in France"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"import isoweek"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The data on the incidence of influenza-like illness are available from the Web site of the [Réseau Sentinelles](http://www.sentiweb.fr/). We download them as a file in CSV format, in which each line corresponds to a week in the observation period. Only the complete dataset, starting in 1984 and ending with a recent week, is available for download."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is the documentation of the data from [the download site](https://ns.sentiweb.fr/incidence/csv-schema-v1.json):\n",
"\n",
"| Column name | Description |\n",
"|--------------|---------------------------------------------------------------------------------------------------------------------------|\n",
"| `week` | ISO8601 Yearweek number as numeric (year times 100 + week nubmer) |\n",
"| `indicator` | Unique identifier of the indicator, see metadata document https://www.sentiweb.fr/meta.json |\n",
"| `inc` | Estimated incidence value for the time step, in the geographic level |\n",
"| `inc_low` | Lower bound of the estimated incidence 95% Confidence Interval |\n",
"| `inc_up` | Upper bound of the estimated incidence 95% Confidence Interval |\n",
"| `inc100` | Estimated rate incidence per 100,000 inhabitants |\n",
"| `inc100_low` | Lower bound of the estimated incidence 95% Confidence Interval |\n",
"| `inc100_up` | Upper bound of the estimated rate incidence 95% Confidence Interval |\n",
"| `geo_insee` | Identifier of the geographic area, from INSEE https://www.insee.fr |\n",
"| `geo_name` | Geographic label of the area, corresponding to INSEE code. This label is not an id and is only provided for human reading |\n",
"\n",
"The first line of the CSV file is a comment, which we ignore with `skip=1`."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Are there missing data points? Yes, week 19 of year 1989 does not have any observed values."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"raw_data[raw_data.isnull().any(axis=1)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We delete this point, which does not have big consequence for our rather simple analysis."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"data = raw_data.dropna().copy()\n",
"data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Our dataset uses an uncommon encoding; the week number is attached\n",
"to the year number, leaving the impression of a six-digit integer.\n",
"That is how Pandas interprets it.\n",
"\n",
"A second problem is that Pandas does not know about week numbers.\n",
"It needs to be given the dates of the beginning and end of the week.\n",
"We use the library `isoweek` for that.\n",
"\n",
"Since the conversion is a bit lengthy, we write a small Python \n",
"function for doing it. Then we apply it to all points in our dataset. \n",
"The results go into a new column 'period'."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def convert_week(year_and_week_int):\n",
" year_and_week_str = str(year_and_week_int)\n",
" year = int(year_and_week_str[:4])\n",
" week = int(year_and_week_str[4:])\n",
" w = isoweek.Week(year, week)\n",
" return pd.Period(w.day(0), 'W')\n",
"\n",
"data['period'] = [convert_week(yw) for yw in data['week']]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There are two more small changes to make.\n",
"\n",
"First, we define the observation periods as the new index of\n",
"our dataset. That turns it into a time series, which will be\n",
"convenient later on.\n",
"\n",
"Second, we sort the points chronologically."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"sorted_data = data.set_index('period').sort_index()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We check the consistency of the data. Between the end of a period and\n",
"the beginning of the next one, the difference should be zero, or very small.\n",
"We tolerate an error of one second.\n",
"\n",
"This is OK except for one pair of consecutive periods between which\n",
"a whole week is missing.\n",
"\n",
"We recognize the dates: it's the week without observations that we\n",
"have deleted earlier!"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"periods = sorted_data.index\n",
"for p1, p2 in zip(periods[:-1], periods[1:]):\n",
" delta = p2.to_timestamp() - p1.end_time\n",
" if delta > pd.Timedelta('1s'):\n",
" print(p1, p2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A first look at the data!"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sorted_data['inc'].plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A zoom on the last few years shows more clearly that the peaks are situated in winter."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"sorted_data['inc'][-200:].plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Study of the annual incidence"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Since the peaks of the epidemic happen in winter, near the transition\n",
"between calendar years, we define the reference period for the annual\n",
"incidence from August 1st of year $N$ to August 1st of year $N+1$. We\n",
"label this period as year $N+1$ because the peak is always located in\n",
"year $N+1$. The very low incidence in summer ensures that the arbitrariness\n",
"of the choice of reference period has no impact on our conclusions.\n",
"\n",
"Our task is a bit complicated by the fact that a year does not have an\n",
"integer number of weeks. Therefore we modify our reference period a bit:\n",
"instead of August 1st, we use the first day of the week containing August 1st.\n",
"\n",
"A final detail: the dataset starts in October 1984, the first peak is thus\n",
"incomplete, We start the analysis with the first full peak."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
" for y in range(1985,\n",
" sorted_data.index[-1].year)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Starting from this list of weeks that contain August 1st, we obtain intervals of approximately one year as the periods between two adjacent weeks in this list. We compute the sums of weekly incidences for all these periods.\n",
"\n",
"We also check that our periods contain between 51 and 52 weeks, as a safeguard against potential mistakes in our code."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"year = []\n",
"yearly_incidence = []\n",
"for week1, week2 in zip(first_august_week[:-1],\n",
" first_august_week[1:]):\n",
" one_year = sorted_data['inc'][week1:week2-1]\n",
" assert abs(len(one_year)-52) < 2\n",
" yearly_incidence.append(one_year.sum())\n",
" year.append(week2.year)\n",
"yearly_incidence = pd.Series(data=yearly_incidence, index=year)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"And here are the annual incidences."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"yearly_incidence.plot(style='*')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A sorted list makes it easier to find the highest values (at the end)."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"yearly_incidence.sort_values()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally, a histogram clearly shows the few very strong epidemics, which affect about 10% of the French population,\n",
"but are rare: there were three of them in the course of 35 years. The typical epidemic affects only half as many people."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"yearly_incidence.hist(xrot=20)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
module3/exo1/influenza-like-illness-analysis.org 0 → 100644
View file @ e8e42a72
#+TITLE: Incidence of influenza-like illness in France
#+LANGUAGE: en
#+OPTIONS: *:nil num:1 toc:t
# #+HTML_HEAD: <link rel="stylesheet" title="Standard" href="http://orgmode.org/worg/style/worg.css" type="text/css" />
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
#+PROPERTY: header-args :session :exports both
* Foreword
For running this analysis, you need the following software:
** Emacs 25 or higher
Older versions may suffice. For Emacs versions older than 26, org-mode must be updated to version 9.x.
** Python 3.6 or higher
We use the ISO 8601 date format, which has been added to Python's standard library with version 3.6.
#+BEGIN_SRC python :results output
import sys
if sys.version_info.major < 3 or sys.version_info.minor < 6:
print("Please use Python 3.6 (or higher)!")
#+END_SRC
#+BEGIN_SRC emacs-lisp :results output
(unless (featurep 'ob-python)
(print "Please activate python in org-babel (org-babel-do-languages)!"))
#+END_SRC
** R 3.4
We use only basic R functionality, so a earlier version might be OK, but we did not test this.
#+BEGIN_SRC emacs-lisp :results output
(unless (featurep 'ob-R)
(print "Please activate R in org-babel (org-babel-do-languages)!"))
#+END_SRC
* Data preprocessing
The data on the incidence of influenza-like illness are available from the Web site of the [[http://www.sentiweb.fr/][Réseau Sentinelles]]. We download them as a file in CSV format, in which each line corresponds to a week in the observation period. Only the complete dataset, starting in 1984 and ending with a recent week, is available for download. The URL is:
#+NAME: data-url
http://www.sentiweb.fr/datasets/incidence-PAY-3.csv
This is the documentation of the data from [[https://ns.sentiweb.fr/incidence/csv-schema-v1.json][the download site]]:
| Column name | Description |
|--------------+---------------------------------------------------------------------------------------------------------------------------|
| ~week~ | ISO8601 Yearweek number as numeric (year*100 + week nubmer) |
| ~indicator~ | Unique identifier of the indicator, see metadata document https://www.sentiweb.fr/meta.json |
| ~inc~ | Estimated incidence value for the time step, in the geographic level |
| ~inc_low~ | Lower bound of the estimated incidence 95% Confidence Interval |
| ~inc_up~ | Upper bound of the estimated incidence 95% Confidence Interval |
| ~inc100~ | Estimated rate incidence per 100,000 inhabitants |
| ~inc100_low~ | Lower bound of the estimated incidence 95% Confidence Interval |
| ~inc100_up~ | Upper bound of the estimated rate incidence 95% Confidence Interval |
| ~geo_insee~ | Identifier of the geographic area, from INSEE https://www.insee.fr |
| ~geo_name~ | Geographic label of the area, corresponding to INSEE code. This label is not an id and is only provided for human reading |
The [[https://en.wikipedia.org/wiki/ISO_8601][ISO-8601]] format is popular in Europe, but less so in North America. This may explain why few software packages handle this format. The Python language does it since version 3.6. We therefore use Python for the pre-processing phase, which has the advantage of not requiring any additional library. (Note: we will explain in module 4 why it is desirable for reproducibility to use as few external libraries as possible.)
** Download
After downloading the raw data, we extract the part we are interested in. We first split the file into lines, of which we discard the first one that contains a comment. We then split the remaining lines into columns.
#+BEGIN_SRC python :results silent :var data_url=data-url
from urllib.request import urlopen
data = urlopen(data_url).read()
lines = data.decode('latin-1').strip().split('\n')
data_lines = lines[1:]
table = [line.split(',') for line in data_lines]
#+END_SRC
Let's have a look at what we have so far:
#+BEGIN_SRC python :results value
table[:5]
#+END_SRC
** Checking for missing data
Unfortunately there are many ways to indicate the absence of a data value in a dataset. Here we check for a common one: empty fields. For completeness, we should also look for non-numerical data in numerical columns. We don't do this here, but checks in later processing steps would catch such anomalies.
We make a new dataset without the lines that contain empty fields. We print those lines to preserve a trace of their contents.
#+BEGIN_SRC python :results output
valid_table = []
for row in table:
missing = any([column == '' for column in row])
if missing:
print(row)
else:
valid_table.append(row)
#+END_SRC
** Extraction of the required columns
There are only two columns that we will need for our analysis: the first (~"week"~) and the third (~"inc"~). We check the names in the header to be sure we pick the right data. We make a new table containing just the two columns required, without the header.
#+BEGIN_SRC python :results silent
week = [row[0] for row in valid_table]
assert week[0] == 'week'
del week[0]
inc = [row[2] for row in valid_table]
assert inc[0] == 'inc
del inc[0]
data = list(zip(week, inc))
#+END_SRC
Let's look at the first and last lines. We insert ~None~ to indicate to org-mode the separation between the three parts of the table: header, first lines, last lines.
#+BEGIN_SRC python :results value
[('week', 'inc'), None] + data[:5] + [None] + data[-5:]
#+END_SRC
** Verification
It is always prudent to verify if the data looks credible. A simple fact we can check for is that weeks are given as six-digit integers (four for the year, two for the week), and that the incidence values are positive integers.
#+BEGIN_SRC python :results output
for week, inc in data:
if len(week) != 6 or not week.isdigit():
print("Suspicious value in column 'week': ", (week, inc))
if not inc.isdigit():
print("Suspicious value in column 'inc': ", (week, inc))
#+END_SRC
No problem - fine!
** Date conversion
In order to facilitate the subsequent treatment, we replace the ISO week numbers by the dates of each week's Monday. This is also a good occasion to sort the lines by increasing data, and to convert the incidences from strings to integers.
#+BEGIN_SRC python :results silent
import datetime
converted_data = [(datetime.datetime.strptime(year_and_week + ":1" , '%G%V:%u').date(),
int(inc))
for year_and_week, inc in data]
converted_data.sort(key = lambda record: record[0])
#+END_SRC
We'll look again at the first and last lines:
#+BEGIN_SRC python :results value
str_data = [(str(date), str(inc)) for date, inc in converted_data]
[('date', 'inc'), None] + str_data[:5] + [None] + str_data[-5:]
#+END_SRC
** Date verification
We do one more verification: our dates must be separated by exactly one week, except around the missing data point.
#+BEGIN_SRC python :results output
dates = [date for date, _ in converted_data]
for date1, date2 in zip(dates[:-1], dates[1:]):
if date2-date1 != datetime.timedelta(weeks=1):
print(f"The difference between {date1} and {date2} is {date2-date1}")
#+END_SRC
** Transfer Python -> R
We switch to R for data inspection and analysis, because the code is more concise in R and requires no additional libraries.
Org-mode's data exchange mechanism requires some Python code for transforming the data to the right format.
#+NAME: data-for-R
#+BEGIN_SRC python :results silent
[('date', 'inc'), None] + [(str(date), inc) for date, inc in converted_data]
#+END_SRC
In R, the dataset arrives as a data frame, which is fine. But the dates arrive as strings and must be converted.
#+BEGIN_SRC R :results output :var data=data-for-R
data$date <- as.Date(data$date)
summary(data)
#+END_SRC
** Inspection
Finally we can look at a plot of our data!
#+BEGIN_SRC R :results output graphics :file inc-plot.png
plot(data, type="l", xlab="Date", ylab="Weekly incidence")
#+END_SRC
A zoom on the last few years makes the peaks in winter stand out more clearly.
#+BEGIN_SRC R :results output graphics :file inc-plot-zoom.png
plot(tail(data, 200), type="l", xlab="Date", ylab="Weekly incidence")
#+END_SRC
* Study of the annual incidence
** Computation of the annual incidence
Since the peaks of the epidemic happen in winter, near the transition between calendar years, we define the reference period for the annual incidence from August 1st of year /N/ to August 1st of year /N+1/. We label this period as year /N+1/ because the peak is always located in year /N+1/. The very low incidence in summer ensures that the arbitrariness of the choice of reference period has no impact on our conclusions.
This R function computes the annual incidence as defined above:
#+BEGIN_SRC R :results silent
yearly_peak = function(year) {
debut = paste0(year-1,"-08-01")
fin = paste0(year,"-08-01")
semaines = data$date > debut & data$date <= fin
sum(data$inc[semaines], na.rm=TRUE)
}
#+END_SRC
We must also be careful with the first and last years of the dataset. The data start in October 1984, meaning that we don't have all the data for the peak attributed to the year 1985. We therefore exclude it from the analysis. For the same reason, we define 2018 as the final year. We can increase this value to 2019 only when all data up to July 2019 is available.
#+BEGIN_SRC R :results silent
years <- 1986:2018
#+END_SRC
We make a new data frame for the annual incidence, applying the function ~yearly_peak~ to each year:
#+BEGIN_SRC R :results value
annnual_inc = data.frame(year = years,
incidence = sapply(years, yearly_peak))
head(annnual_inc)
#+END_SRC
** Inspection
A plot of the annual incidence:
#+BEGIN_SRC R :results output graphics :file annual-inc-plot.png
plot(annnual_inc, type="p", xlab="Année", ylab="Annual incidence")
#+END_SRC
** Identification of the strongest epidemics
A list sorted by decreasing annual incidence makes it easy to find the most important ones:
#+BEGIN_SRC R :results output
head(annnual_inc[order(-annnual_inc$incidence),])
#+END_SRC
Finally, a histogram clearly shows the few very strong epidemics, which affect about 10% of the French population, but are rare: there were three of them in the course of 35 years. The typical epidemic affects only half as many people.
#+BEGIN_SRC R :results output graphics :file annual-inc-hist.png
hist(annnual_inc$incidence, breaks=10, xlab="Annual incidence", ylab="Number of observations", main="")
#+END_SRC
module3/exo2/exercice.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module3/exo2/exercice_R_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, R code is included as follows (and is
exxecuted by typing ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
And now the same but in an R session. This is the most frequent
situation, because R is really an interactive language. With a
session, R's state, i.e. the values of all the variables, remains
persistent from one code block to the next. The code is still executed
using ~C-c C-c~.
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Finally, an example for graphical output:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cars.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in R by typing ~<r~ or ~<R~ followed by
~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module3/exo2/exercice_R_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
R. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclut du code
R de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
Voici la même chose, mais avec une session R (c'est le cas le
plus courant, R étant vraiment un langage interactif), donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Et enfin, voici un exemple de sortie graphique:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cars.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, pour les prochains exercices, nous ne vous fournirons pas
forcément de fichier de départ, ça sera à vous de le créer, par
exemple en repartant de ce document et de le commiter vers
gitlab. N'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code R (en
faisant ~<r~ ou ~<R~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module3/exo2/exercice_en.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Your title"
author: "Your name"
date: "Today's date"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Some explanations
This is an R Markdown document that you can easily export to HTML, PDF, and MS Word formats. For more information on R Markdown, see <http://rmarkdown.rstudio.com>.
When you click on the button **Knit**, the document will be compiled in order to re-execute the R code and to include the results into the final document. As we have shown in the video, R code is inserted as follows:
```{r cars}
summary(cars)
```
It is also straightforward to include figures. For example:
```{r pressure, echo=FALSE}
plot(pressure)
```
Note the parameter `echo = FALSE` that indicates that the code will not appear in the final version of the document. We recommend not to use this parameter in the context of this MOOC, because we want your data analyses to be perfectly transparent and reproducible.
Since the results are not stored in Rmd files, you should generate an HTML or PDF version of your exercises and commit them. Otherwise reading and checking your analysis will be difficult for anyone else but you.
Now it's your turn! You can delete all this information and replace it by your computational document.
module3/exo2/exercice_en.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module3/exo2/exercice_fr.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Votre titre"
author: "Votre nom"
date: "La date du jour"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Quelques explications
Ceci est un document R markdown que vous pouvez aisément exporter au format HTML, PDF, et MS Word. Pour plus de détails sur R Markdown consultez <http://rmarkdown.rstudio.com>.
Lorsque vous cliquerez sur le bouton **Knit** ce document sera compilé afin de ré-exécuter le code R et d'inclure les résultats dans un document final. Comme nous vous l'avons montré dans la vidéo, on inclue du code R de la façon suivante:
```{r cars}
summary(cars)
```
Et on peut aussi aisément inclure des figures. Par exemple:
```{r pressure, echo=FALSE}
plot(pressure)
```
Vous remarquerez le paramètre `echo = FALSE` qui indique que le code ne doit pas apparaître dans la version finale du document. Nous vous recommandons dans le cadre de ce MOOC de ne pas utiliser ce paramètre car l'objectif est que vos analyses de données soient parfaitement transparentes pour être reproductibles.
Comme les résultats ne sont pas stockés dans les fichiers Rmd, pour faciliter la relecture de vos analyses par d'autres personnes, vous aurez donc intérêt à générer un HTML ou un PDF et à le commiter.
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces informations et les remplacer par votre document computationnel.
module3/exo2/exercice_fr.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module3/exo2/exercice_python_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, Python code is included as follows (and
is exxecuted by typing ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
And now the same but in an Python session. With a session, Python's
state, i.e. the values of all the variables, remains persistent from
one code block to the next. The code is still executed using ~C-c
C-c~.
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Finally, an example for graphical output:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cosxsx.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in Python by typing ~<p~, ~<P~ or ~<PP~
followed by ~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module3/exo2/exercice_python_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
python. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclue du code
python de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
Voici la même chose, mais avec une session python, donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Et enfin, voici un exemple de sortie graphique:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cosxsx.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, n'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code python (en
faisant ~<p~, ~<P~ ou ~<PP~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module3/exo3/exercice.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module3/exo3/exercice_R_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, R code is included as follows (and is
exxecuted by typing ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
And now the same but in an R session. This is the most frequent
situation, because R is really an interactive language. With a
session, R's state, i.e. the values of all the variables, remains
persistent from one code block to the next. The code is still executed
using ~C-c C-c~.
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Finally, an example for graphical output:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cars.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in R by typing ~<r~ or ~<R~ followed by
~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module3/exo3/exercice_R_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
R. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclut du code
R de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
Voici la même chose, mais avec une session R (c'est le cas le
plus courant, R étant vraiment un langage interactif), donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Et enfin, voici un exemple de sortie graphique:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cars.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, pour les prochains exercices, nous ne vous fournirons pas
forcément de fichier de départ, ça sera à vous de le créer, par
exemple en repartant de ce document et de le commiter vers
gitlab. N'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code R (en
faisant ~<r~ ou ~<R~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module3/exo3/exercice_en.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Your title"
author: "Your name"
date: "Today's date"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Some explanations
This is an R Markdown document that you can easily export to HTML, PDF, and MS Word formats. For more information on R Markdown, see <http://rmarkdown.rstudio.com>.
When you click on the button **Knit**, the document will be compiled in order to re-execute the R code and to include the results into the final document. As we have shown in the video, R code is inserted as follows:
```{r cars}
summary(cars)
```
It is also straightforward to include figures. For example:
```{r pressure, echo=FALSE}
plot(pressure)
```
Note the parameter `echo = FALSE` that indicates that the code will not appear in the final version of the document. We recommend not to use this parameter in the context of this MOOC, because we want your data analyses to be perfectly transparent and reproducible.
Since the results are not stored in Rmd files, you should generate an HTML or PDF version of your exercises and commit them. Otherwise reading and checking your analysis will be difficult for anyone else but you.
Now it's your turn! You can delete all this information and replace it by your computational document.
module3/exo3/exercice_en.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module3/exo3/exercice_fr.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Votre titre"
author: "Votre nom"
date: "La date du jour"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Quelques explications
Ceci est un document R markdown que vous pouvez aisément exporter au format HTML, PDF, et MS Word. Pour plus de détails sur R Markdown consultez <http://rmarkdown.rstudio.com>.
Lorsque vous cliquerez sur le bouton **Knit** ce document sera compilé afin de ré-exécuter le code R et d'inclure les résultats dans un document final. Comme nous vous l'avons montré dans la vidéo, on inclue du code R de la façon suivante:
```{r cars}
summary(cars)
```
Et on peut aussi aisément inclure des figures. Par exemple:
```{r pressure, echo=FALSE}
plot(pressure)
```
Vous remarquerez le paramètre `echo = FALSE` qui indique que le code ne doit pas apparaître dans la version finale du document. Nous vous recommandons dans le cadre de ce MOOC de ne pas utiliser ce paramètre car l'objectif est que vos analyses de données soient parfaitement transparentes pour être reproductibles.
Comme les résultats ne sont pas stockés dans les fichiers Rmd, pour faciliter la relecture de vos analyses par d'autres personnes, vous aurez donc intérêt à générer un HTML ou un PDF et à le commiter.
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces informations et les remplacer par votre document computationnel.
module3/exo3/exercice_fr.ipynb 0 → 100644
View file @ e8e42a72
{
"cells": [],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
module3/exo3/exercice_python_en.org 0 → 100644
View file @ e8e42a72
#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, Python code is included as follows (and
is exxecuted by typing ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
And now the same but in an Python session. With a session, Python's
state, i.e. the values of all the variables, remains persistent from
one code block to the next. The code is still executed using ~C-c
C-c~.
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Finally, an example for graphical output:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cosxsx.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in Python by typing ~<p~, ~<P~ or ~<PP~
followed by ~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
module3/exo3/exercice_python_fr.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
python. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclue du code
python de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
Voici la même chose, mais avec une session python, donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Et enfin, voici un exemple de sortie graphique:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cosxsx.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, n'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code python (en
faisant ~<p~, ~<P~ ou ~<PP~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations et les remplacer par votre document computationnel.
module3/varicelle-01.csv 0 → 100644
View file @ e8e42a72
# @source="rseau Sentinelles, INSERM, Sorbonne Universit, http://www.sentiweb.fr", @meta={"period":[199049,202221],"geo":["PAY","1"],"geo_ref":"insee","indicator":"7","type":"all","conf_int":true,"compact":false}, @date=2022-06-04T18:42:40+02:00
week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
202221,7,24276,18942,29610,37,29,45,FR,France
202220,7,23774,19136,28412,36,29,43,FR,France
202219,7,18613,14198,23028,28,21,35,FR,France
202218,7,17851,13963,21739,27,21,33,FR,France
202217,7,20314,16001,24627,31,24,38,FR,France
202216,7,19660,14860,24460,30,23,37,FR,France
202215,7,17799,13715,21883,27,21,33,FR,France
202214,7,17005,13162,20848,26,20,32,FR,France
202213,7,15448,11659,19237,23,17,29,FR,France
202212,7,14702,10794,18610,22,16,28,FR,France
202211,7,11729,8347,15111,18,13,23,FR,France
202210,7,13314,10036,16592,20,15,25,FR,France
202209,7,10485,7600,13370,16,12,20,FR,France
202208,7,12088,8741,15435,18,13,23,FR,France
202207,7,14003,10789,17217,21,16,26,FR,France
202206,7,9798,7048,12548,15,11,19,FR,France
202205,7,10851,7797,13905,16,11,21,FR,France
202204,7,9547,6721,12373,14,10,18,FR,France
202203,7,13972,10680,17264,21,16,26,FR,France
202202,7,8495,6026,10964,13,9,17,FR,France
202201,7,13793,10597,16989,21,16,26,FR,France
202152,7,13239,9611,16867,20,15,25,FR,France
202151,7,13326,9629,17023,20,14,26,FR,France
202150,7,14128,10312,17944,21,15,27,FR,France
202149,7,13674,10369,16979,21,16,26,FR,France
202148,7,11549,8503,14595,17,12,22,FR,France
202147,7,11419,8376,14462,17,12,22,FR,France
202146,7,8216,5724,10708,12,8,16,FR,France
202145,7,8965,6468,11462,14,10,18,FR,France
202144,7,8736,5636,11836,13,8,18,FR,France
202143,7,8145,5164,11126,12,7,17,FR,France
202142,7,9443,6037,12849,14,9,19,FR,France
202141,7,4021,2239,5803,6,3,9,FR,France
202140,7,4441,2454,6428,7,4,10,FR,France
202139,7,2291,1056,3526,3,1,5,FR,France
202138,7,4325,2267,6383,7,4,10,FR,France
202137,7,1964,754,3174,3,1,5,FR,France
202136,7,3441,1730,5152,5,2,8,FR,France
202135,7,2562,1107,4017,4,2,6,FR,France
202134,7,1429,378,2480,2,0,4,FR,France
202133,7,3829,1830,5828,6,3,9,FR,France
202132,7,4108,1895,6321,6,3,9,FR,France
202131,7,4793,2301,7285,7,3,11,FR,France
202130,7,7190,4191,10189,11,6,16,FR,France
202129,7,6800,4109,9491,10,6,14,FR,France
202128,7,9734,0,21731,15,0,33,FR,France
202127,7,9026,4316,13736,14,7,21,FR,France
202126,7,7284,4108,10460,11,6,16,FR,France
202125,7,9351,6540,12162,14,10,18,FR,France
202124,7,12034,8937,15131,18,13,23,FR,France
202123,7,9116,6420,11812,14,10,18,FR,France
202122,7,4817,2752,6882,7,4,10,FR,France
202121,7,6092,3458,8726,9,5,13,FR,France
202120,7,7485,4601,10369,11,7,15,FR,France
202119,7,6654,4370,8938,10,7,13,FR,France
202118,7,3912,2110,5714,6,3,9,FR,France
202117,7,4686,2878,6494,7,4,10,FR,France
202116,7,4780,2891,6669,7,4,10,FR,France
202115,7,11215,7627,14803,17,12,22,FR,France
202114,7,11197,7994,14400,17,12,22,FR,France
202113,7,9714,6289,13139,15,10,20,FR,France
202112,7,11520,8415,14625,17,12,22,FR,France
202111,7,9386,6678,12094,14,10,18,FR,France
202110,7,9056,6452,11660,14,10,18,FR,France
202109,7,10988,7938,14038,17,12,22,FR,France
202108,7,11281,8361,14201,17,13,21,FR,France
202107,7,13561,10315,16807,21,16,26,FR,France
202106,7,13401,9810,16992,20,15,25,FR,France
202105,7,12210,8988,15432,18,13,23,FR,France
202104,7,12026,8826,15226,18,13,23,FR,France
202103,7,8913,6375,11451,13,9,17,FR,France
202102,7,7795,5430,10160,12,8,16,FR,France
202101,7,10525,7750,13300,16,12,20,FR,France
202053,7,11978,8406,15550,18,13,23,FR,France
202052,7,12012,8285,15739,18,12,24,FR,France
202051,7,10564,7574,13554,16,11,21,FR,France
202050,7,7063,4744,9382,11,7,15,FR,France
202049,7,5026,3145,6907,8,5,11,FR,France
202048,7,6683,4312,9054,10,6,14,FR,France
202047,7,4999,2963,7035,8,5,11,FR,France
202046,7,3752,1963,5541,6,3,9,FR,France
202045,7,3696,2016,5376,6,3,9,FR,France
202044,7,4391,2375,6407,7,4,10,FR,France
202043,7,4376,2505,6247,7,4,10,FR,France
202042,7,4000,1979,6021,6,3,9,FR,France
202041,7,3961,2099,5823,6,3,9,FR,France
202040,7,2078,675,3481,3,1,5,FR,France
202039,7,1049,237,1861,2,1,3,FR,France
202038,7,2251,781,3721,3,1,5,FR,France
202037,7,1584,405,2763,2,0,4,FR,France
202036,7,919,100,1738,1,0,2,FR,France
202035,7,828,0,1694,1,0,2,FR,France
202034,7,2272,371,4173,3,0,6,FR,France
202033,7,1284,177,2391,2,0,4,FR,France
202032,7,2650,689,4611,4,1,7,FR,France
202031,7,1303,100,2506,2,0,4,FR,France
202030,7,1385,75,2695,2,0,4,FR,France
202029,7,841,10,1672,1,0,2,FR,France
202028,7,728,0,1515,1,0,2,FR,France
202027,7,986,149,1823,1,0,2,FR,France
202026,7,694,0,1454,1,0,2,FR,France
202025,7,228,0,597,0,0,1,FR,France
202024,7,388,0,959,1,0,2,FR,France
202023,7,558,1,1115,1,0,2,FR,France
202022,7,277,0,633,0,0,1,FR,France
202021,7,602,36,1168,1,0,2,FR,France
202020,7,824,20,1628,1,0,2,FR,France
202019,7,310,0,753,0,0,1,FR,France
202018,7,849,98,1600,1,0,2,FR,France
202017,7,272,0,658,0,0,1,FR,France
202016,7,758,78,1438,1,0,2,FR,France
202015,7,1918,675,3161,3,1,5,FR,France
202014,7,3879,2227,5531,6,3,9,FR,France
202013,7,7326,5236,9416,11,8,14,FR,France
202012,7,8123,5790,10456,12,8,16,FR,France
202011,7,10198,7568,12828,15,11,19,FR,France
202010,7,9011,6691,11331,14,10,18,FR,France
202009,7,13631,10544,16718,21,16,26,FR,France
202008,7,10424,7708,13140,16,12,20,FR,France
202007,7,8959,6574,11344,14,10,18,FR,France
202006,7,9264,6925,11603,14,10,18,FR,France
202005,7,8505,6314,10696,13,10,16,FR,France
202004,7,7991,5831,10151,12,9,15,FR,France
202003,7,5968,4100,7836,9,6,12,FR,France
202002,7,6534,4530,8538,10,7,13,FR,France
202001,7,9835,7019,12651,15,11,19,FR,France
201952,7,7941,5246,10636,12,8,16,FR,France
201951,7,5823,3675,7971,9,6,12,FR,France
201950,7,6424,4276,8572,10,7,13,FR,France
201949,7,6621,4540,8702,10,7,13,FR,France
201948,7,5542,3383,7701,8,5,11,FR,France
201947,7,7536,5058,10014,11,7,15,FR,France
201946,7,2638,1316,3960,4,2,6,FR,France
201945,7,4492,2615,6369,7,4,10,FR,France
201944,7,5728,3627,7829,9,6,12,FR,France
201943,7,4834,2751,6917,7,4,10,FR,France
201942,7,6279,3989,8569,10,7,13,FR,France
201941,7,4130,2030,6230,6,3,9,FR,France
201940,7,4211,2218,6204,6,3,9,FR,France
201939,7,3137,1310,4964,5,2,8,FR,France
201938,7,3078,1416,4740,5,2,8,FR,France
201937,7,970,162,1778,1,0,2,FR,France
201936,7,1277,263,2291,2,0,4,FR,France
201935,7,922,0,1857,1,0,2,FR,France
201934,7,1997,605,3389,3,1,5,FR,France
201933,7,3279,1103,5455,5,2,8,FR,France
201932,7,3627,1576,5678,6,3,9,FR,France
201931,7,7611,4605,10617,12,7,17,FR,France
201930,7,8875,5629,12121,13,8,18,FR,France
201929,7,10658,7151,14165,16,11,21,FR,France
201928,7,11251,7604,14898,17,11,23,FR,France
201927,7,16602,12349,20855,25,19,31,FR,France
201926,7,18851,14491,23211,29,22,36,FR,France
201925,7,18309,13972,22646,28,21,35,FR,France
201924,7,13382,9659,17105,20,14,26,FR,France
201923,7,19264,15027,23501,29,23,35,FR,France
201922,7,16861,12783,20939,26,20,32,FR,France
201921,7,17572,13140,22004,27,20,34,FR,France
201920,7,16180,12310,20050,25,19,31,FR,France
201919,7,16646,12721,20571,25,19,31,FR,France
201918,7,13803,10159,17447,21,15,27,FR,France
201917,7,15868,11815,19921,24,18,30,FR,France
201916,7,17127,12815,21439,26,19,33,FR,France
201915,7,21449,16525,26373,33,26,40,FR,France
201914,7,16131,12254,20008,25,19,31,FR,France
201913,7,17264,13409,21119,26,20,32,FR,France
201912,7,14133,10499,17767,21,15,27,FR,France
201911,7,12655,9528,15782,19,14,24,FR,France
201910,7,14062,10547,17577,21,16,26,FR,France
201909,7,13725,10221,17229,21,16,26,FR,France
201908,7,17186,13156,21216,26,20,32,FR,France
201907,7,10206,7388,13024,16,12,20,FR,France
201906,7,13504,10402,16606,21,16,26,FR,France
201905,7,12799,9843,15755,19,15,23,FR,France
201904,7,11842,9041,14643,18,14,22,FR,France
201903,7,8616,6114,11118,13,9,17,FR,France
201902,7,12005,9035,14975,18,13,23,FR,France
201901,7,15951,12224,19678,24,18,30,FR,France
201852,7,16234,11915,20553,25,18,32,FR,France
201851,7,16859,12787,20931,26,20,32,FR,France
201850,7,11554,8405,14703,18,13,23,FR,France
201849,7,12632,9322,15942,19,14,24,FR,France
201848,7,8093,5509,10677,12,8,16,FR,France
201847,7,8670,5920,11420,13,9,17,FR,France
201846,7,7039,4453,9625,11,7,15,FR,France
201845,7,7479,4820,10138,11,7,15,FR,France
201844,7,7749,4931,10567,12,8,16,FR,France
201843,7,8705,5414,11996,13,8,18,FR,France
201842,7,4640,2523,6757,7,4,10,FR,France
201841,7,2956,1207,4705,4,1,7,FR,France
201840,7,3858,1827,5889,6,3,9,FR,France
201839,7,2584,870,4298,4,1,7,FR,France
201838,7,2401,761,4041,4,2,6,FR,France
201837,7,1891,501,3281,3,1,5,FR,France
201836,7,559,0,1335,1,0,2,FR,France
201835,7,872,0,1916,1,0,3,FR,France
201834,7,3736,1415,6057,6,2,10,FR,France
201833,7,3803,1130,6476,6,2,10,FR,France
201832,7,3225,1155,5295,5,2,8,FR,France
201831,7,6610,3565,9655,10,5,15,FR,France
201830,7,9338,5780,12896,14,9,19,FR,France
201829,7,8513,5059,11967,13,8,18,FR,France
201828,7,12115,7907,16323,18,12,24,FR,France
201827,7,13975,9739,18211,21,15,27,FR,France
201826,7,15317,11019,19615,23,16,30,FR,France
201825,7,11282,7840,14724,17,12,22,FR,France
201824,7,16554,12219,20889,25,18,32,FR,France
201823,7,9511,6385,12637,14,9,19,FR,France
201822,7,15972,11793,20151,24,18,30,FR,France
201821,7,10909,7627,14191,17,12,22,FR,France
201820,7,13417,9692,17142,20,14,26,FR,France
201819,7,16718,12351,21085,25,18,32,FR,France
201818,7,16120,11128,21112,25,17,33,FR,France
201817,7,16154,11960,20348,25,19,31,FR,France
201816,7,18341,13836,22846,28,21,35,FR,France
201815,7,17946,13622,22270,27,20,34,FR,France
201814,7,15036,10780,19292,23,17,29,FR,France
201813,7,16373,12472,20274,25,19,31,FR,France
201812,7,18819,14373,23265,29,22,36,FR,France
201811,7,15478,11427,19529,24,18,30,FR,France
201810,7,15753,11901,19605,24,18,30,FR,France
201809,7,13217,9653,16781,20,15,25,FR,France
201808,7,13390,9832,16948,20,15,25,FR,France
201807,7,13453,10096,16810,20,15,25,FR,France
201806,7,15491,11679,19303,24,18,30,FR,France
201805,7,15078,11374,18782,23,17,29,FR,France
201804,7,14562,10973,18151,22,17,27,FR,France
201803,7,7972,5473,10471,12,8,16,FR,France
201802,7,10976,7974,13978,17,12,22,FR,France
201801,7,11471,8430,14512,17,12,22,FR,France
201752,7,11120,7732,14508,17,12,22,FR,France
201751,7,8055,5279,10831,12,8,16,FR,France
201750,7,10095,7184,13006,15,11,19,FR,France
201749,7,11214,8103,14325,17,12,22,FR,France
201748,7,8686,5706,11666,13,8,18,FR,France
201747,7,8741,5969,11513,13,9,17,FR,France
201746,7,5708,3483,7933,9,6,12,FR,France
201745,7,4902,2777,7027,8,5,11,FR,France
201744,7,5645,3125,8165,9,5,13,FR,France
201743,7,6892,3966,9818,11,7,15,FR,France
201742,7,4490,2218,6762,7,4,10,FR,France
201741,7,2516,1110,3922,4,2,6,FR,France
201740,7,4902,2504,7300,8,4,12,FR,France
201739,7,2901,917,4885,4,1,7,FR,France
201738,7,2138,736,3540,3,1,5,FR,France
201737,7,2360,700,4020,4,1,7,FR,France
201736,7,1903,450,3356,3,1,5,FR,France
201735,7,3419,1409,5429,5,2,8,FR,France
201734,7,3886,1559,6213,6,2,10,FR,France
201733,7,3133,829,5437,5,1,9,FR,France
201732,7,4194,1599,6789,6,2,10,FR,France
201731,7,7130,3572,10688,11,6,16,FR,France
201730,7,7368,3708,11028,11,5,17,FR,France
201729,7,15320,10560,20080,24,17,31,FR,France
201728,7,14764,9589,19939,23,15,31,FR,France
201727,7,12000,7980,16020,18,12,24,FR,France
201726,7,11914,8364,15464,18,13,23,FR,France
201725,7,16264,12303,20225,25,19,31,FR,France
201724,7,16473,12221,20725,25,18,32,FR,France
201723,7,15607,11196,20018,24,17,31,FR,France
201722,7,19102,14187,24017,29,21,37,FR,France
201721,7,21160,15647,26673,32,24,40,FR,France
201720,7,19412,14439,24385,30,22,38,FR,France
201719,7,20724,15468,25980,32,24,40,FR,France
201718,7,14497,10154,18840,22,15,29,FR,France
201717,7,17548,12284,22812,27,19,35,FR,France
201716,7,14963,10491,19435,23,16,30,FR,France
201715,7,16400,11762,21038,25,18,32,FR,France
201714,7,18892,13332,24452,29,20,38,FR,France
201713,7,21702,16488,26916,33,25,41,FR,France
201712,7,18534,14161,22907,28,21,35,FR,France
201711,7,18361,12709,24013,28,19,37,FR,France
201710,7,10218,6896,13540,16,11,21,FR,France
201709,7,12248,8571,15925,19,13,25,FR,France
201708,7,14721,10712,18730,23,17,29,FR,France
201707,7,10991,7538,14444,17,12,22,FR,France
201706,7,9627,6502,12752,15,10,20,FR,France
201705,7,8885,6064,11706,14,10,18,FR,France
201704,7,9227,6249,12205,14,9,19,FR,France
201703,7,8791,6072,11510,13,9,17,FR,France
201702,7,9034,6097,11971,14,9,19,FR,France
201701,7,7803,5142,10464,12,8,16,FR,France
201652,7,7665,4768,10562,12,8,16,FR,France
201651,7,9916,5966,13866,15,9,21,FR,France
201650,7,8866,5849,11883,14,9,19,FR,France
201649,7,7919,5039,10799,12,8,16,FR,France
201648,7,6906,4242,9570,11,7,15,FR,France
201647,7,6877,4083,9671,11,7,15,FR,France
201646,7,4683,2458,6908,7,4,10,FR,France
201645,7,3807,1499,6115,6,2,10,FR,France
201644,7,4879,2029,7729,7,3,11,FR,France
201643,7,9264,4949,13579,14,7,21,FR,France
201642,7,7301,3877,10725,11,6,16,FR,France
201641,7,5849,2950,8748,9,5,13,FR,France
201640,7,5023,2267,7779,8,4,12,FR,France
201639,7,2437,595,4279,4,1,7,FR,France
201638,7,2550,0,5121,4,0,8,FR,France
201637,7,3031,501,5561,5,1,9,FR,France
201636,7,1621,33,3209,2,0,4,FR,France
201635,7,1554,38,3070,2,0,4,FR,France
201634,7,3089,711,5467,5,1,9,FR,France
201633,7,3373,671,6075,5,1,9,FR,France
201632,7,4670,936,8404,7,1,13,FR,France
201631,7,13619,5986,21252,21,9,33,FR,France
201630,7,14149,8423,19875,22,13,31,FR,France
201629,7,15769,9829,21709,24,15,33,FR,France
201628,7,19968,12709,27227,31,20,42,FR,France
201627,7,23790,16940,30640,37,26,48,FR,France
201626,7,26083,19873,32293,40,30,50,FR,France
201625,7,19250,13742,24758,30,22,38,FR,France
201624,7,16465,11779,21151,25,18,32,FR,France
201623,7,21642,16030,27254,33,24,42,FR,France
201622,7,21913,16307,27519,34,25,43,FR,France
201621,7,22707,16878,28536,35,26,44,FR,France
201620,7,20389,14741,26037,31,22,40,FR,France
201619,7,19685,14453,24917,30,22,38,FR,France
201618,7,19785,14138,25432,30,21,39,FR,France
201617,7,20489,14781,26197,31,22,40,FR,France
201616,7,23848,18353,29343,37,29,45,FR,France
201615,7,30982,24510,37454,48,38,58,FR,France
201614,7,30996,24507,37485,48,38,58,FR,France
201613,7,20260,15476,25044,31,24,38,FR,France
201612,7,19129,14501,23757,29,22,36,FR,France
201611,7,16660,12252,21068,26,19,33,FR,France
201610,7,16812,12677,20947,26,20,32,FR,France
201609,7,18118,13735,22501,28,21,35,FR,France
201608,7,17557,13397,21717,27,21,33,FR,France
201607,7,22222,17422,27022,34,27,41,FR,France
201606,7,24486,19563,29409,38,30,46,FR,France
201605,7,20906,16470,25342,32,25,39,FR,France
201604,7,17717,13394,22040,27,20,34,FR,France
201603,7,17146,13088,21204,26,20,32,FR,France
201602,7,9960,6845,13075,15,10,20,FR,France
201601,7,16221,12114,20328,25,19,31,FR,France
201553,7,14386,10110,18662,22,15,29,FR,France
201552,7,12550,8407,16693,19,13,25,FR,France
201551,7,16168,11913,20423,25,18,32,FR,France
201550,7,14600,10277,18923,23,16,30,FR,France
201549,7,10580,7148,14012,16,11,21,FR,France
201548,7,6694,3816,9572,10,6,14,FR,France
201547,7,7224,4543,9905,11,7,15,FR,France
201546,7,6377,3768,8986,10,6,14,FR,France
201545,7,7838,4650,11026,12,7,17,FR,France
201544,7,10638,7012,14264,16,10,22,FR,France
201543,7,8228,4766,11690,13,8,18,FR,France
201542,7,6730,3669,9791,10,5,15,FR,France
201541,7,8455,5347,11563,13,8,18,FR,France
201540,7,6242,3556,8928,10,6,14,FR,France
201539,7,5142,2663,7621,8,4,12,FR,France
201538,7,4845,2170,7520,8,4,12,FR,France
201537,7,1710,315,3105,3,1,5,FR,France
201536,7,3852,1413,6291,6,2,10,FR,France
201535,7,3158,1104,5212,5,2,8,FR,France
201534,7,6626,2734,10518,10,4,16,FR,France
201533,7,3005,815,5195,5,2,8,FR,France
201532,7,4592,1514,7670,7,2,12,FR,France
201531,7,5901,2320,9482,9,3,15,FR,France
201530,7,11437,6572,16302,18,10,26,FR,France
201529,7,16251,10104,22398,25,15,35,FR,France
201528,7,19181,12819,25543,30,20,40,FR,France
201527,7,20526,14918,26134,32,23,41,FR,France
201526,7,20491,15043,25939,32,24,40,FR,France
201525,7,18253,13349,23157,28,20,36,FR,France
201524,7,20522,15347,25697,32,24,40,FR,France
201523,7,22298,16988,27608,35,27,43,FR,France
201522,7,16681,11603,21759,26,18,34,FR,France
201521,7,19208,13976,24440,30,22,38,FR,France
201520,7,15791,10998,20584,24,17,31,FR,France
201519,7,17661,12845,22477,27,20,34,FR,France
201518,7,18126,13142,23110,28,20,36,FR,France
201517,7,22059,16386,27732,34,25,43,FR,France
201516,7,22837,17103,28571,35,26,44,FR,France
201515,7,20116,14743,25489,31,23,39,FR,France
201514,7,19969,14683,25255,31,23,39,FR,France
201513,7,14076,10028,18124,22,16,28,FR,France
201512,7,13120,9230,17010,20,14,26,FR,France
201511,7,12073,8302,15844,19,13,25,FR,France
201510,7,11340,7811,14869,18,13,23,FR,France
201509,7,9509,6202,12816,15,10,20,FR,France
201508,7,10045,6921,13169,16,11,21,FR,France
201507,7,13810,9930,17690,21,15,27,FR,France
201506,7,14586,10675,18497,23,17,29,FR,France
201505,7,8379,5519,11239,13,9,17,FR,France
201504,7,12373,8955,15791,19,14,24,FR,France
201503,7,8408,5545,11271,13,9,17,FR,France
201502,7,9656,6569,12743,15,10,20,FR,France
201501,7,15419,10638,20200,24,17,31,FR,France
201452,7,12109,7254,16964,19,11,27,FR,France
201451,7,13237,9282,17192,21,15,27,FR,France
201450,7,12272,8434,16110,19,13,25,FR,France
201449,7,6652,4023,9281,10,6,14,FR,France
201448,7,3785,1414,6156,6,2,10,FR,France
201447,7,4213,2058,6368,7,4,10,FR,France
201446,7,2638,808,4468,4,1,7,FR,France
201445,7,5138,2609,7667,8,4,12,FR,France
201444,7,7639,4394,10884,12,7,17,FR,France
201443,7,9721,6051,13391,15,9,21,FR,France
201442,7,7702,4827,10577,12,8,16,FR,France
201441,7,7853,4576,11130,12,7,17,FR,France
201440,7,5643,2875,8411,9,5,13,FR,France
201439,7,3067,959,5175,5,2,8,FR,France
201438,7,1431,130,2732,2,0,4,FR,France
201437,7,1034,0,2338,2,0,4,FR,France
201436,7,2765,707,4823,4,1,7,FR,France
201435,7,3052,734,5370,5,1,9,FR,France
201434,7,6443,1010,11876,10,2,18,FR,France
201433,7,5893,1698,10088,9,2,16,FR,France
201432,7,5574,1636,9512,9,3,15,FR,France
201431,7,11224,5825,16623,17,9,25,FR,France
201430,7,13856,7742,19970,22,12,32,FR,France
201429,7,13818,8249,19387,22,13,31,FR,France
201428,7,14452,8576,20328,23,14,32,FR,France
201427,7,10934,6552,15316,17,10,24,FR,France
201426,7,13972,9090,18854,22,14,30,FR,France
201425,7,15684,10131,21237,24,15,33,FR,France
201424,7,21981,15632,28330,34,24,44,FR,France
201423,7,24015,16956,31074,37,26,48,FR,France
201422,7,19748,13406,26090,31,21,41,FR,France
201421,7,18296,12087,24505,28,18,38,FR,France
201420,7,17693,11979,23407,28,19,37,FR,France
201419,7,18515,12667,24363,29,20,38,FR,France
201418,7,22172,15443,28901,35,25,45,FR,France
201417,7,22727,16224,29230,35,25,45,FR,France
201416,7,17010,11590,22430,26,18,34,FR,France
201415,7,20239,14242,26236,32,23,41,FR,France
201414,7,17565,12341,22789,27,19,35,FR,France
201413,7,17723,12128,23318,28,19,37,FR,France
201412,7,14097,9068,19126,22,14,30,FR,France
201411,7,15073,10122,20024,23,15,31,FR,France
201410,7,16941,11407,22475,26,17,35,FR,France
201409,7,15621,10397,20845,24,16,32,FR,France
201408,7,19870,14111,25629,31,22,40,FR,France
201407,7,15327,10359,20295,24,16,32,FR,France
201406,7,16534,11424,21644,26,18,34,FR,France
201405,7,12071,7897,16245,19,12,26,FR,France
201404,7,15767,10826,20708,25,17,33,FR,France
201403,7,12852,8190,17514,20,13,27,FR,France
201402,7,12465,7896,17034,19,12,26,FR,France
201401,7,22504,15572,29436,35,24,46,FR,France
201352,7,13843,8314,19372,22,13,31,FR,France
201351,7,12787,7843,17731,20,12,28,FR,France
201350,7,11421,7184,15658,18,11,25,FR,France
201349,7,10146,6171,14121,16,10,22,FR,France
201348,7,6708,3361,10055,11,6,16,FR,France
201347,7,9940,5667,14213,16,9,23,FR,France
201346,7,5110,2148,8072,8,3,13,FR,France
201345,7,7669,3726,11612,12,6,18,FR,France
201344,7,10655,5983,15327,17,10,24,FR,France
201343,7,8192,3927,12457,13,6,20,FR,France
201342,7,12324,7315,17333,19,11,27,FR,France
201341,7,9487,5101,13873,15,8,22,FR,France
201340,7,4114,1452,6776,6,2,10,FR,France
201339,7,5037,1810,8264,8,3,13,FR,France
201338,7,4449,1499,7399,7,2,12,FR,France
201337,7,5212,1954,8470,8,3,13,FR,France
201336,7,3481,606,6356,5,0,10,FR,France
201335,7,3486,281,6691,5,0,10,FR,France
201334,7,3994,670,7318,6,1,11,FR,France
201333,7,3758,372,7144,6,1,11,FR,France
201332,7,2986,635,5337,5,1,9,FR,France
201331,7,9137,3957,14317,14,6,22,FR,France
201330,7,13810,6870,20750,22,11,33,FR,France
201329,7,12278,6878,17678,19,11,27,FR,France
201328,7,17146,10622,23670,27,17,37,FR,France
201327,7,13859,8697,19021,22,14,30,FR,France
201326,7,17956,11585,24327,28,18,38,FR,France
201325,7,24609,17743,31475,39,28,50,FR,France
201324,7,23981,17469,30493,38,28,48,FR,France
201323,7,15848,10235,21461,25,16,34,FR,France
201322,7,12528,7759,17297,20,13,27,FR,France
201321,7,10637,6458,14816,17,10,24,FR,France
201320,7,12435,7726,17144,19,12,26,FR,France
201319,7,14230,8491,19969,22,13,31,FR,France
201318,7,17735,11898,23572,28,19,37,FR,France
201317,7,25213,18328,32098,39,28,50,FR,France
201316,7,23918,16084,31752,37,25,49,FR,France
201315,7,15307,10483,20131,24,16,32,FR,France
201314,7,19302,13484,25120,30,21,39,FR,France
201313,7,18224,11953,24495,29,19,39,FR,France
201312,7,17413,11819,23007,27,18,36,FR,France
201311,7,16229,10756,21702,25,16,34,FR,France
201310,7,16515,10966,22064,26,17,35,FR,France
201309,7,16338,11305,21371,26,18,34,FR,France
201308,7,17915,12458,23372,28,19,37,FR,France
201307,7,12245,7795,16695,19,12,26,FR,France
201306,7,13305,8249,18361,21,13,29,FR,France
201305,7,11184,6677,15691,18,11,25,FR,France
201304,7,16505,11326,21684,26,18,34,FR,France
201303,7,10434,6735,14133,16,10,22,FR,France
201302,7,14746,9924,19568,23,15,31,FR,France
201301,7,22537,16290,28784,35,25,45,FR,France
201252,7,14682,9011,20353,23,14,32,FR,France
201251,7,15811,10483,21139,25,17,33,FR,France
201250,7,19840,13797,25883,31,21,41,FR,France
201249,7,11967,7591,16343,19,12,26,FR,France
201248,7,12897,8376,17418,20,13,27,FR,France
201247,7,11934,7042,16826,19,11,27,FR,France
201246,7,10741,6201,15281,17,10,24,FR,France
201245,7,20339,12476,28202,32,20,44,FR,France
201244,7,8472,4834,12110,13,7,19,FR,France
201243,7,11375,7120,15630,18,11,25,FR,France
201242,7,11450,6987,15913,18,11,25,FR,France
201241,7,8700,4885,12515,14,8,20,FR,France
201240,7,9175,5327,13023,14,8,20,FR,France
201239,7,4058,1438,6678,6,2,10,FR,France
201238,7,2684,621,4747,4,1,7,FR,France
201237,7,2505,0,5339,4,0,8,FR,France
201236,7,3930,291,7569,6,0,12,FR,France
201235,7,3515,884,6146,6,2,10,FR,France
201234,7,5663,2195,9131,9,4,14,FR,France
201233,7,7969,3171,12767,13,5,21,FR,France
201232,7,9206,2073,16339,14,3,25,FR,France
201231,7,7579,3540,11618,12,6,18,FR,France
201230,7,11253,5812,16694,18,9,27,FR,France
201229,7,20711,13977,27445,33,22,44,FR,France
201228,7,16966,9789,24143,27,16,38,FR,France
201227,7,17733,11174,24292,28,18,38,FR,France
201226,7,20974,13153,28795,33,21,45,FR,France
201225,7,25480,17130,33830,40,27,53,FR,France
201224,7,17872,11690,24054,28,18,38,FR,France
201223,7,22034,15327,28741,35,24,46,FR,France
201222,7,18774,11901,25647,30,19,41,FR,France
201221,7,18515,9501,27529,29,15,43,FR,France
201220,7,17026,9608,24444,27,15,39,FR,France
201219,7,13599,8726,18472,21,13,29,FR,France
201218,7,16482,10836,22128,26,17,35,FR,France
201217,7,18041,12040,24042,28,19,37,FR,France
201216,7,16251,10239,22263,26,17,35,FR,France
201215,7,10203,5281,15125,16,8,24,FR,France
201214,7,7426,3526,11326,12,6,18,FR,France
201213,7,12507,5913,19101,20,10,30,FR,France
201212,7,12006,6344,17668,19,10,28,FR,France
201211,7,11997,7398,16596,19,12,26,FR,France
201210,7,15569,9700,21438,25,16,34,FR,France
201209,7,18085,12427,23743,28,19,37,FR,France
201208,7,13515,8822,18208,21,14,28,FR,France
201207,7,12594,7774,17414,20,12,28,FR,France
201206,7,15273,9953,20593,24,16,32,FR,France
201205,7,12192,7305,17079,19,11,27,FR,France
201204,7,10248,4996,15500,16,8,24,FR,France
201203,7,11474,6843,16105,18,11,25,FR,France
201202,7,13651,8191,19111,21,12,30,FR,France
201201,7,14028,9063,18993,22,14,30,FR,France
201152,7,21306,14321,28291,34,23,45,FR,France
201151,7,14945,8910,20980,24,14,34,FR,France
201150,7,10051,5417,14685,16,9,23,FR,France
201149,7,10075,5049,15101,16,8,24,FR,France
201148,7,9018,5083,12953,14,8,20,FR,France
201147,7,10055,4853,15257,16,8,24,FR,France
201146,7,7721,3993,11449,12,6,18,FR,France
201145,7,5764,1962,9566,9,3,15,FR,France
201144,7,6178,2704,9652,10,5,15,FR,France
201143,7,6168,2653,9683,10,4,16,FR,France
201142,7,6713,3036,10390,11,5,17,FR,France
201141,7,4184,1543,6825,7,3,11,FR,France
201140,7,3114,618,5610,5,1,9,FR,France
201139,7,2504,414,4594,4,1,7,FR,France
201138,7,3386,585,6187,5,1,9,FR,France
201137,7,1183,9,2357,2,0,4,FR,France
201136,7,3367,478,6256,5,0,10,FR,France
201135,7,5945,2380,9510,9,3,15,FR,France
201134,7,3180,891,5469,5,1,9,FR,France
201133,7,4960,1053,8867,8,2,14,FR,France
201132,7,7230,1500,12960,11,2,20,FR,France
201131,7,10789,4593,16985,17,7,27,FR,France
201130,7,23137,9828,36446,37,16,58,FR,France
201129,7,10056,4896,15216,16,8,24,FR,France
201128,7,13428,7761,19095,21,12,30,FR,France
201127,7,20770,13604,27936,33,22,44,FR,France
201126,7,16862,10623,23101,27,17,37,FR,France
201125,7,19411,12763,26059,31,20,42,FR,France
201124,7,18584,12337,24831,29,19,39,FR,France
201123,7,20707,14800,26614,33,24,42,FR,France
201122,7,16995,11552,22438,27,18,36,FR,France
201121,7,19179,12997,25361,30,20,40,FR,France
201120,7,21512,15082,27942,34,24,44,FR,France
201119,7,18038,12286,23790,29,20,38,FR,France
201118,7,18512,13142,23882,29,21,37,FR,France
201117,7,20715,14602,26828,33,23,43,FR,France
201116,7,18128,12859,23397,29,21,37,FR,France
201115,7,22169,16454,27884,35,26,44,FR,France
201114,7,17431,12573,22289,28,20,36,FR,France
201113,7,15637,10796,20478,25,17,33,FR,France
201112,7,14856,9810,19902,24,16,32,FR,France
201111,7,12156,7712,16600,19,12,26,FR,France
201110,7,12987,8644,17330,21,14,28,FR,France
201109,7,11971,7656,16286,19,12,26,FR,France
201108,7,17295,11843,22747,27,18,36,FR,France
201107,7,12488,7431,17545,20,12,28,FR,France
201106,7,9801,6179,13423,16,10,22,FR,France
201105,7,10857,7046,14668,17,11,23,FR,France
201104,7,13749,9496,18002,22,15,29,FR,France
201103,7,12936,8875,16997,20,14,26,FR,France
201102,7,9451,6208,12694,15,10,20,FR,France
201101,7,14380,10066,18694,23,16,30,FR,France
201052,7,13112,8997,17227,21,14,28,FR,France
201051,7,12055,8046,16064,19,13,25,FR,France
201050,7,8281,5242,11320,13,8,18,FR,France
201049,7,12525,8601,16449,20,14,26,FR,France
201048,7,9048,5627,12469,14,9,19,FR,France
201047,7,7329,4256,10402,12,7,17,FR,France
201046,7,8955,5377,12533,14,8,20,FR,France
201045,7,4800,2269,7331,8,4,12,FR,France
201044,7,11274,7155,15393,18,11,25,FR,France
201043,7,8144,4621,11667,13,7,19,FR,France
201042,7,9178,5507,12849,15,9,21,FR,France
201041,7,7110,3983,10237,11,6,16,FR,France
201040,7,5196,2450,7942,8,4,12,FR,France
201039,7,3415,964,5866,5,1,9,FR,France
201038,7,3057,681,5433,5,1,9,FR,France
201037,7,1056,0,2338,2,0,4,FR,France
201036,7,1629,241,3017,3,1,5,FR,France
201035,7,5847,1895,9799,9,3,15,FR,France
201034,7,4649,1665,7633,7,2,12,FR,France
201033,7,3972,1372,6572,6,2,10,FR,France
201032,7,4307,1345,7269,7,2,12,FR,France
201031,7,7403,3912,10894,12,6,18,FR,France
201030,7,8502,4404,12600,14,7,21,FR,France
201029,7,14481,8874,20088,23,14,32,FR,France
201028,7,28483,18947,38019,45,30,60,FR,France
201027,7,25965,18206,33724,41,29,53,FR,France
201026,7,22628,16253,29003,36,26,46,FR,France
201025,7,21027,15245,26809,33,24,42,FR,France
201024,7,26164,19503,32825,42,31,53,FR,France
201023,7,19858,14032,25684,32,23,41,FR,France
201022,7,22275,16460,28090,35,26,44,FR,France
201021,7,24815,18263,31367,40,30,50,FR,France
201020,7,22370,16020,28720,36,26,46,FR,France
201019,7,25552,18564,32540,41,30,52,FR,France
201018,7,18894,13264,24524,30,21,39,FR,France
201017,7,17512,12221,22803,28,20,36,FR,France
201016,7,21439,15519,27359,34,25,43,FR,France
201015,7,26362,19735,32989,42,31,53,FR,France
201014,7,20168,14274,26062,32,23,41,FR,France
201013,7,18917,13394,24440,30,21,39,FR,France
201012,7,18171,12995,23347,29,21,37,FR,France
201011,7,13401,9041,17761,21,14,28,FR,France
201010,7,18123,12614,23632,29,20,38,FR,France
201009,7,21145,14746,27544,34,24,44,FR,France
201008,7,30549,21013,40085,49,34,64,FR,France
201007,7,25017,17142,32892,40,27,53,FR,France
201006,7,22358,13688,31028,36,22,50,FR,France
201005,7,26817,18132,35502,43,29,57,FR,France
201004,7,14384,8912,19856,23,14,32,FR,France
201003,7,11821,7294,16348,19,12,26,FR,France
201002,7,12756,7177,18335,20,11,29,FR,France
201001,7,14182,9107,19257,23,15,31,FR,France
200953,7,28213,17662,38764,45,28,62,FR,France
200952,7,15203,9597,20809,24,15,33,FR,France
200951,7,17611,11223,23999,28,18,38,FR,France
200950,7,17430,9879,24981,28,16,40,FR,France
200949,7,7199,3960,10438,11,6,16,FR,France
200948,7,14656,9570,19742,23,15,31,FR,France
200947,7,7051,3901,10201,11,6,16,FR,France
200946,7,4662,2107,7217,7,3,11,FR,France
200945,7,15603,9790,21416,25,16,34,FR,France
200944,7,13165,6629,19701,21,11,31,FR,France
200943,7,9872,5298,14446,16,9,23,FR,France
200942,7,13992,7999,19985,22,12,32,FR,France
200941,7,7811,4267,11355,12,6,18,FR,France
200940,7,12414,7441,17387,20,12,28,FR,France
200939,7,4090,921,7259,7,2,12,FR,France
200938,7,2802,999,4605,4,1,7,FR,France
200937,7,1989,362,3616,3,0,6,FR,France
200936,7,1681,212,3150,3,1,5,FR,France
200935,7,3605,1131,6079,6,2,10,FR,France
200934,7,8863,3112,14614,14,5,23,FR,France
200933,7,6592,965,12219,10,1,19,FR,France
200932,7,9370,4069,14671,15,7,23,FR,France
200931,7,18728,0,38349,30,0,61,FR,France
200930,7,10418,5698,15138,17,9,25,FR,France
200929,7,14716,8450,20982,23,13,33,FR,France
200928,7,21297,14200,28394,34,23,45,FR,France
200927,7,22300,14361,30239,36,23,49,FR,France
200926,7,24817,17154,32480,40,28,52,FR,France
200925,7,22427,15617,29237,36,25,47,FR,France
200924,7,14666,9828,19504,23,15,31,FR,France
200923,7,18094,10701,25487,29,17,41,FR,France
200922,7,20358,14457,26259,32,23,41,FR,France
200921,7,23147,16066,30228,37,26,48,FR,France
200920,7,27753,19893,35613,44,31,57,FR,France
200919,7,29529,19088,39970,47,30,64,FR,France
200918,7,17676,11359,23993,28,18,38,FR,France
200917,7,21880,15613,28147,35,25,45,FR,France
200916,7,23899,16714,31084,38,27,49,FR,France
200915,7,21717,14784,28650,35,24,46,FR,France
200914,7,22143,14930,29356,35,24,46,FR,France
200913,7,23445,16436,30454,37,26,48,FR,France
200912,7,17997,11343,24651,29,18,40,FR,France
200911,7,22428,14154,30702,36,23,49,FR,France
200910,7,21362,13994,28730,34,22,46,FR,France
200909,7,26922,18447,35397,43,30,56,FR,France
200908,7,20424,13766,27082,33,22,44,FR,France
200907,7,23181,15024,31338,37,24,50,FR,France
200906,7,29147,20804,37490,46,33,59,FR,France
200905,7,14176,8933,19419,23,15,31,FR,France
200904,7,14887,10004,19770,24,16,32,FR,France
200903,7,12650,7578,17722,20,12,28,FR,France
200902,7,22806,13997,31615,36,22,50,FR,France
200901,7,27073,17648,36498,43,28,58,FR,France
200852,7,13485,8749,18221,22,14,30,FR,France
200851,7,10984,7406,14562,18,12,24,FR,France
200850,7,12868,7126,18610,21,12,30,FR,France
200849,7,11365,4402,18328,19,8,30,FR,France
200848,7,14199,5494,22904,23,9,37,FR,France
200847,7,15819,7899,23739,26,13,39,FR,France
200846,7,8147,4546,11748,13,7,19,FR,France
200845,7,10538,5244,15832,17,8,26,FR,France
200844,7,10753,6665,14841,18,11,25,FR,France
200843,7,9420,5654,13186,15,9,21,FR,France
200842,7,10865,5017,16713,18,8,28,FR,France
200841,7,8583,3541,13625,14,6,22,FR,France
200840,7,8164,3051,13277,13,5,21,FR,France
200839,7,5477,2331,8623,9,4,14,FR,France
200838,7,3780,1129,6431,6,2,10,FR,France
200837,7,4612,1860,7364,8,4,12,FR,France
200836,7,2821,365,5277,5,1,9,FR,France
200835,7,2304,0,4896,4,0,8,FR,France
200834,7,4452,915,7989,7,1,13,FR,France
200833,7,5347,1116,9578,9,2,16,FR,France
200832,7,5294,1512,9076,9,3,15,FR,France
200831,7,10207,5298,15116,17,9,25,FR,France
200830,7,10220,5331,15109,17,9,25,FR,France
200829,7,10071,5148,14994,16,8,24,FR,France
200828,7,9826,4460,15192,16,7,25,FR,France
200827,7,11768,6077,17459,19,10,28,FR,France
200826,7,15584,10821,20347,25,17,33,FR,France
200825,7,21617,15364,27870,35,25,45,FR,France
200824,7,18253,12292,24214,30,20,40,FR,France
200823,7,14388,8610,20166,23,14,32,FR,France
200822,7,13560,7829,19291,22,13,31,FR,France
200821,7,19074,4085,34063,31,7,55,FR,France
200820,7,18272,12040,24504,30,20,40,FR,France
200819,7,16110,10352,21868,26,17,35,FR,France
200818,7,17377,11105,23649,28,18,38,FR,France
200817,7,27000,19317,34683,44,31,57,FR,France
200816,7,23002,15304,30700,37,24,50,FR,France
200815,7,25454,15856,35052,41,25,57,FR,France
200814,7,22236,15623,28849,36,25,47,FR,France
200813,7,20308,13107,27509,33,21,45,FR,France
200812,7,22462,15587,29337,37,26,48,FR,France
200811,7,20505,13958,27052,33,22,44,FR,France
200810,7,18078,11784,24372,29,19,39,FR,France
200809,7,20474,14073,26875,33,23,43,FR,France
200808,7,21441,15042,27840,35,25,45,FR,France
200807,7,17894,12348,23440,29,20,38,FR,France
200806,7,16310,11091,21529,27,18,36,FR,France
200805,7,16684,11106,22262,27,18,36,FR,France
200804,7,20997,14662,27332,34,24,44,FR,France
200803,7,19263,11093,27433,31,18,44,FR,France
200802,7,20501,13032,27970,33,21,45,FR,France
200801,7,20780,14093,27467,34,23,45,FR,France
200752,7,18010,11329,24691,29,18,40,FR,France
200751,7,20052,12509,27595,33,21,45,FR,France
200750,7,19059,12513,25605,31,20,42,FR,France
200749,7,18394,12805,23983,30,21,39,FR,France
200748,7,10765,5871,15659,18,10,26,FR,France
200747,7,10703,1791,19615,17,2,32,FR,France
200746,7,12318,4207,20429,20,7,33,FR,France
200745,7,12352,0,29660,20,0,48,FR,France
200744,7,7897,3419,12375,13,6,20,FR,France
200743,7,5788,2306,9270,9,3,15,FR,France
200742,7,5993,2329,9657,10,4,16,FR,France
200741,7,7130,0,17274,12,0,29,FR,France
200740,7,8146,940,15352,13,1,25,FR,France
200739,7,3916,500,7332,6,0,12,FR,France
200738,7,2691,462,4920,4,0,8,FR,France
200737,7,4100,1263,6937,7,2,12,FR,France
200736,7,1580,0,3223,3,0,6,FR,France
200735,7,3471,0,7162,6,0,12,FR,France
200734,7,3333,0,6764,5,0,11,FR,France
200733,7,3241,451,6031,5,0,10,FR,France
200732,7,7321,2112,12530,12,4,20,FR,France
200731,7,9932,3688,16176,16,6,26,FR,France
200730,7,9879,3616,16142,16,6,26,FR,France
200729,7,17227,7803,26651,28,13,43,FR,France
200728,7,14874,7763,21985,24,12,36,FR,France
200727,7,13500,7382,19618,22,12,32,FR,France
200726,7,15454,9522,21386,25,15,35,FR,France
200725,7,20567,13847,27287,34,23,45,FR,France
200724,7,26470,18336,34604,43,30,56,FR,France
200723,7,23443,15824,31062,38,26,50,FR,France
200722,7,18811,11559,26063,31,19,43,FR,France
200721,7,15325,9347,21303,25,15,35,FR,France
200720,7,17507,11589,23425,29,19,39,FR,France
200719,7,22692,15113,30271,37,25,49,FR,France
200718,7,20630,13394,27866,34,22,46,FR,France
200717,7,23755,14388,33122,39,24,54,FR,France
200716,7,23388,16188,30588,38,26,50,FR,France
200715,7,25695,17711,33679,42,29,55,FR,France
200714,7,16974,9959,23989,28,17,39,FR,France
200713,7,24625,16598,32652,40,27,53,FR,France
200712,7,20303,11331,29275,33,18,48,FR,France
200711,7,33056,21724,44388,54,36,72,FR,France
200710,7,20775,12182,29368,34,20,48,FR,France
200709,7,18750,12252,25248,31,20,42,FR,France
200708,7,19458,12998,25918,32,21,43,FR,France
200707,7,20978,14822,27134,34,24,44,FR,France
200706,7,14466,9375,19557,24,16,32,FR,France
200705,7,15339,9771,20907,25,16,34,FR,France
200704,7,19661,13333,25989,32,22,42,FR,France
200703,7,16211,10323,22099,26,16,36,FR,France
200702,7,15631,10037,21225,25,16,34,FR,France
200701,7,16483,10582,22384,27,17,37,FR,France
200652,7,20472,13371,27573,34,22,46,FR,France
200651,7,20557,12905,28209,34,21,47,FR,France
200650,7,11364,6541,16187,19,11,27,FR,France
200649,7,12518,6273,18763,21,11,31,FR,France
200648,7,8028,2783,13273,13,4,22,FR,France
200647,7,6240,2268,10212,10,3,17,FR,France
200646,7,4953,1841,8065,8,3,13,FR,France
200645,7,4064,1178,6950,7,2,12,FR,France
200644,7,5300,1084,9516,9,2,16,FR,France
200643,7,3518,1027,6009,6,2,10,FR,France
200642,7,2885,539,5231,5,1,9,FR,France
200641,7,4405,123,8687,7,0,14,FR,France
200640,7,2513,0,5505,4,0,9,FR,France
200639,7,992,0,2812,2,0,5,FR,France
200638,7,1363,0,3045,2,0,5,FR,France
200637,7,992,0,2711,2,0,5,FR,France
200636,7,820,0,2313,1,0,3,FR,France
200635,7,614,0,1628,1,0,3,FR,France
200634,7,1149,0,2623,2,0,4,FR,France
200633,7,161,0,630,0,0,1,FR,France
200632,7,476,0,1785,1,0,3,FR,France
200631,7,6255,754,11756,10,1,19,FR,France
200630,7,7140,2123,12157,12,4,20,FR,France
200629,7,6227,2488,9966,10,4,16,FR,France
200628,7,13044,6388,19700,21,10,32,FR,France
200627,7,18263,9407,27119,30,15,45,FR,France
200626,7,12465,6504,18426,20,10,30,FR,France
200625,7,14114,8492,19736,23,14,32,FR,France
200624,7,14773,9362,20184,24,15,33,FR,France
200623,7,12338,7512,17164,20,12,28,FR,France
200622,7,12669,7540,17798,21,13,29,FR,France
200621,7,15426,9709,21143,25,16,34,FR,France
200620,7,10366,6001,14731,17,10,24,FR,France
200619,7,13862,8779,18945,23,15,31,FR,France
200618,7,11495,6482,16508,19,11,27,FR,France
200617,7,16230,9656,22804,27,16,38,FR,France
200616,7,17624,10886,24362,29,18,40,FR,France
200615,7,18171,11485,24857,30,19,41,FR,France
200614,7,19218,13041,25395,31,21,41,FR,France
200613,7,16805,11064,22546,28,19,37,FR,France
200612,7,17604,12029,23179,29,20,38,FR,France
200611,7,15789,10289,21289,26,17,35,FR,France
200610,7,16775,11238,22312,27,18,36,FR,France
200609,7,16734,11153,22315,27,18,36,FR,France
200608,7,16964,11317,22611,28,19,37,FR,France
200607,7,11878,7047,16709,19,11,27,FR,France
200606,7,18915,13000,24830,31,21,41,FR,France
200605,7,16029,10665,21393,26,17,35,FR,France
200604,7,11400,7136,15664,19,12,26,FR,France
200603,7,15577,10494,20660,26,18,34,FR,France
200602,7,10313,6274,14352,17,10,24,FR,France
200601,7,20058,13481,26635,33,22,44,FR,France
200552,7,16588,9246,23930,27,15,39,FR,France
200551,7,27150,14219,40081,45,24,66,FR,France
200550,7,14340,8527,20153,24,14,34,FR,France
200549,7,12056,6953,17159,20,12,28,FR,France
200548,7,15056,8846,21266,25,15,35,FR,France
200547,7,14805,7691,21919,24,12,36,FR,France
200546,7,8390,2583,14197,14,4,24,FR,France
200545,7,11513,3776,19250,19,6,32,FR,France
200544,7,10086,2788,17384,17,5,29,FR,France
200543,7,9316,2080,16552,15,3,27,FR,France
200542,7,8373,3760,12986,14,6,22,FR,France
200541,7,11587,6045,17129,19,10,28,FR,France
200540,7,12374,6622,18126,20,11,29,FR,France
200539,7,4450,1509,7391,7,2,12,FR,France
200538,7,2272,67,4477,4,0,8,FR,France
200537,7,1677,0,3664,3,0,6,FR,France
200536,7,3369,510,6228,6,1,11,FR,France
200535,7,3124,482,5766,5,1,9,FR,France
200534,7,6673,1394,11952,11,2,20,FR,France
200533,7,8588,1696,15480,14,3,25,FR,France
200532,7,7859,2362,13356,13,4,22,FR,France
200531,7,9570,3334,15806,16,6,26,FR,France
200530,7,6172,0,13912,10,0,23,FR,France
200529,7,12452,5092,19812,21,9,33,FR,France
200528,7,18277,5762,30792,30,9,51,FR,France
200527,7,17547,9967,25127,29,16,42,FR,France
200526,7,27248,18071,36425,45,30,60,FR,France
200525,7,14089,8408,19770,23,14,32,FR,France
200524,7,15632,9553,21711,26,16,36,FR,France
200523,7,20069,12360,27778,33,20,46,FR,France
200522,7,20392,9119,31665,34,15,53,FR,France
200521,7,13623,8254,18992,22,13,31,FR,France
200520,7,17482,10870,24094,29,18,40,FR,France
200519,7,12622,7407,17837,21,12,30,FR,France
200518,7,10630,5706,15554,18,10,26,FR,France
200517,7,14979,8429,21529,25,14,36,FR,France
200516,7,11520,6566,16474,19,11,27,FR,France
200515,7,9114,4530,13698,15,7,23,FR,France
200514,7,16876,10333,23419,28,17,39,FR,France
200513,7,12513,7324,17702,21,12,30,FR,France
200512,7,15395,9108,21682,25,15,35,FR,France
200511,7,12702,7588,17816,21,13,29,FR,France
200510,7,11279,6465,16093,19,11,27,FR,France
200509,7,13085,7767,18403,22,13,31,FR,France
200508,7,10359,6162,14556,17,10,24,FR,France
200507,7,18640,12932,24348,31,22,40,FR,France
200506,7,11814,7295,16333,20,13,27,FR,France
200505,7,15387,10293,20481,25,17,33,FR,France
200504,7,12525,7897,17153,21,13,29,FR,France
200503,7,15946,10225,21667,26,17,35,FR,France
200502,7,12669,7600,17738,21,13,29,FR,France
200501,7,14192,8841,19543,23,14,32,FR,France
200453,7,17869,11244,24494,30,19,41,FR,France
200452,7,16974,10864,23084,28,18,38,FR,France
200451,7,14890,9250,20530,25,16,34,FR,France
200450,7,17657,10659,24655,29,17,41,FR,France
200449,7,16219,8194,24244,27,14,40,FR,France
200448,7,7162,2532,11792,12,4,20,FR,France
200447,7,8816,4136,13496,15,7,23,FR,France
200446,7,6806,2939,10673,11,5,17,FR,France
200445,7,9065,2889,15241,15,5,25,FR,France
200444,7,9795,4169,15421,16,7,25,FR,France
200443,7,5673,2412,8934,9,4,14,FR,France
200442,7,3038,802,5274,5,1,9,FR,France
200441,7,5061,1296,8826,8,2,14,FR,France
200440,7,3409,690,6128,6,1,11,FR,France
200439,7,5226,1044,9408,9,2,16,FR,France
200438,7,3412,0,7137,6,0,12,FR,France
200437,7,4351,537,8165,7,1,13,FR,France
200436,7,5121,1260,8982,9,3,15,FR,France
200435,7,7279,2610,11948,12,4,20,FR,France
200434,7,6425,1962,10888,11,4,18,FR,France
200433,7,11183,5394,16972,19,9,29,FR,France
200432,7,15854,7918,23790,26,13,39,FR,France
200431,7,17793,5261,30325,30,9,51,FR,France
200430,7,23244,14352,32136,39,24,54,FR,France
200429,7,34645,23193,46097,58,39,77,FR,France
200428,7,19481,11767,27195,32,19,45,FR,France
200427,7,21322,8377,34267,35,13,57,FR,France
200426,7,17171,7899,26443,29,14,44,FR,France
200425,7,26606,17976,35236,44,30,58,FR,France
200424,7,26142,17142,35142,43,28,58,FR,France
200423,7,23643,15715,31571,39,26,52,FR,France
200422,7,16119,9794,22444,27,16,38,FR,France
200421,7,20283,12915,27651,34,22,46,FR,France
200420,7,15730,9735,21725,26,16,36,FR,France
200419,7,22791,15145,30437,38,25,51,FR,France
200418,7,17807,11014,24600,30,19,41,FR,France
200417,7,19913,12212,27614,33,20,46,FR,France
200416,7,19289,11424,27154,32,19,45,FR,France
200415,7,20587,13594,27580,34,22,46,FR,France
200414,7,24610,16629,32591,41,28,54,FR,France
200413,7,22910,15782,30038,38,26,50,FR,France
200412,7,23468,15220,31716,39,25,53,FR,France
200411,7,23977,16337,31617,40,27,53,FR,France
200410,7,25519,15764,35274,42,26,58,FR,France
200409,7,26592,17202,35982,44,28,60,FR,France
200408,7,22820,15102,30538,38,25,51,FR,France
200407,7,23871,16628,31114,40,28,52,FR,France
200406,7,24567,15700,33434,41,26,56,FR,France
200405,7,12869,7824,17914,21,13,29,FR,France
200404,7,13172,8314,18030,22,14,30,FR,France
200403,7,6442,3015,9869,11,5,17,FR,France
200402,7,11126,6305,15947,18,10,26,FR,France
200401,7,24971,13819,36123,41,22,60,FR,France
200352,7,4920,0,22288,8,0,37,FR,France
200351,7,10235,2435,18035,17,4,30,FR,France
200350,7,9805,5520,14090,16,9,23,FR,France
200349,7,11685,7721,15649,20,13,27,FR,France
200348,7,6201,3319,9083,10,5,15,FR,France
200347,7,4897,1842,7952,8,3,13,FR,France
200346,7,4596,1236,7956,8,2,14,FR,France
200345,7,3501,1090,5912,6,2,10,FR,France
200344,7,3469,894,6044,6,2,10,FR,France
200343,7,4671,1766,7576,8,3,13,FR,France
200342,7,3855,955,6755,6,1,11,FR,France
200341,7,3179,427,5931,5,0,10,FR,France
200340,7,6983,2852,11114,12,5,19,FR,France
200339,7,952,0,2308,2,0,4,FR,France
200338,7,1628,0,3406,3,0,6,FR,France
200337,7,2995,0,6029,5,0,10,FR,France
200336,7,3595,0,7784,6,0,13,FR,France
200335,7,1340,0,4253,2,0,7,FR,France
200334,7,3842,0,10414,6,0,17,FR,France
200333,7,7269,0,18830,12,0,31,FR,France
200332,7,2908,0,6463,5,0,11,FR,France
200331,7,2053,0,4640,3,0,7,FR,France
200330,7,5106,259,9953,9,1,17,FR,France
200329,7,8195,0,21289,14,0,36,FR,France
200328,7,9002,3511,14493,15,6,24,FR,France
200327,7,4902,1397,8407,8,2,14,FR,France
200326,7,17746,7867,27625,30,13,47,FR,France
200325,7,8190,3460,12920,14,6,22,FR,France
200324,7,33803,13366,54240,56,22,90,FR,France
200323,7,14278,6733,21823,24,11,37,FR,France
200322,7,13397,7140,19654,22,12,32,FR,France
200321,7,12113,3506,20720,20,6,34,FR,France
200320,7,10454,5534,15374,17,9,25,FR,France
200319,7,12833,6772,18894,21,11,31,FR,France
200318,7,25572,16325,34819,43,28,58,FR,France
200317,7,21556,11493,31619,36,19,53,FR,France
200316,7,20007,12091,27923,33,20,46,FR,France
200315,7,26837,18106,35568,45,30,60,FR,France
200314,7,19148,10594,27702,32,18,46,FR,France
200313,7,27087,16490,37684,45,27,63,FR,France
200312,7,24322,15256,33388,41,26,56,FR,France
200311,7,21652,12929,30375,36,21,51,FR,France
200310,7,29033,19506,38560,49,33,65,FR,France
200309,7,28198,17625,38771,47,29,65,FR,France
200308,7,36298,22548,50048,61,38,84,FR,France
200307,7,27050,14994,39106,45,25,65,FR,France
200306,7,25101,14828,35374,42,25,59,FR,France
200305,7,15588,7493,23683,26,12,40,FR,France
200304,7,17141,9713,24569,29,17,41,FR,France
200303,7,18329,11799,24859,31,20,42,FR,France
200302,7,18829,10035,27623,31,16,46,FR,France
200301,7,22582,11488,33676,38,19,57,FR,France
200252,7,20417,12258,28576,34,20,48,FR,France
200251,7,22444,14164,30724,38,24,52,FR,France
200250,7,10873,6406,15340,18,10,26,FR,France
200249,7,16468,2559,30377,28,5,51,FR,France
200248,7,10264,4123,16405,17,7,27,FR,France
200247,7,12129,4283,19975,20,7,33,FR,France
200246,7,5507,1186,9828,9,2,16,FR,France
200245,7,9335,4813,13857,16,8,24,FR,France
200244,7,9388,2462,16314,16,4,28,FR,France
200243,7,10756,4601,16911,18,8,28,FR,France
200242,7,8703,3946,13460,15,7,23,FR,France
200241,7,7695,3062,12328,13,5,21,FR,France
200240,7,7097,2512,11682,12,4,20,FR,France
200239,7,6215,2540,9890,10,4,16,FR,France
200238,7,4237,1165,7309,7,2,12,FR,France
200237,7,1210,0,2674,2,0,4,FR,France
200236,7,2671,314,5028,4,0,8,FR,France
200235,7,1193,0,3093,2,0,5,FR,France
200234,7,5394,1014,9774,9,2,16,FR,France
200233,7,5395,510,10280,9,1,17,FR,France
200232,7,11308,1117,21499,19,2,36,FR,France
200231,7,7163,1350,12976,12,2,22,FR,France
200230,7,10184,3615,16753,17,6,28,FR,France
200229,7,11146,5228,17064,19,9,29,FR,France
200228,7,15908,8318,23498,27,14,40,FR,France
200227,7,12124,441,23807,20,0,40,FR,France
200226,7,18706,4188,33224,31,7,55,FR,France
200225,7,18807,9408,28206,32,16,48,FR,France
200224,7,15035,9084,20986,25,15,35,FR,France
200223,7,12617,6916,18318,21,11,31,FR,France
200222,7,18851,10747,26955,32,18,46,FR,France
200221,7,14282,7527,21037,24,13,35,FR,France
200220,7,12558,6860,18256,21,11,31,FR,France
200219,7,18605,11518,25692,31,19,43,FR,France
200218,7,10857,5495,16219,18,9,27,FR,France
200217,7,16252,9537,22967,27,16,38,FR,France
200216,7,10284,5016,15552,17,8,26,FR,France
200215,7,19217,9502,28932,32,16,48,FR,France
200214,7,15585,6215,24955,26,10,42,FR,France
200213,7,29411,13274,45548,49,22,76,FR,France
200212,7,12354,7208,17500,21,12,30,FR,France
200211,7,11781,7053,16509,20,12,28,FR,France
200210,7,9450,5283,13617,16,9,23,FR,France
200209,7,11735,5297,18173,20,9,31,FR,France
200208,7,8153,3653,12653,14,6,22,FR,France
200207,7,6992,3354,10630,12,6,18,FR,France
200206,7,7857,3052,12662,13,5,21,FR,France
200205,7,7405,2868,11942,12,4,20,FR,France
200204,7,13562,7935,19189,23,14,32,FR,France
200203,7,8152,4543,11761,14,8,20,FR,France
200202,7,9486,4411,14561,16,7,25,FR,France
200201,7,6329,1565,11093,11,3,19,FR,France
200152,7,5566,2267,8865,9,3,15,FR,France
200151,7,6045,2630,9460,10,4,16,FR,France
200150,7,11601,4100,19102,20,7,33,FR,France
200149,7,5828,851,10805,10,2,18,FR,France
200148,7,9965,5007,14923,17,9,25,FR,France
200147,7,6292,2021,10563,11,4,18,FR,France
200146,7,5424,2218,8630,9,4,14,FR,France
200145,7,9468,5023,13913,16,8,24,FR,France
200144,7,4941,1881,8001,8,3,13,FR,France
200143,7,6978,3201,10755,12,6,18,FR,France
200142,7,6726,3147,10305,11,5,17,FR,France
200141,7,5410,1849,8971,9,3,15,FR,France
200140,7,3320,637,6003,6,1,11,FR,France
200139,7,1152,0,2569,2,0,4,FR,France
200138,7,864,0,2411,1,0,4,FR,France
200137,7,1234,0,3393,2,0,6,FR,France
200136,7,391,0,1256,1,0,2,FR,France
200135,7,2539,0,6274,4,0,10,FR,France
200134,7,1946,0,4439,3,0,7,FR,France
200133,7,655,0,2046,1,0,3,FR,France
200132,7,4619,0,10912,8,0,19,FR,France
200131,7,7622,1190,14054,13,2,24,FR,France
200130,7,13686,4678,22694,23,8,38,FR,France
200129,7,12966,4727,21205,22,8,36,FR,France
200128,7,20908,11957,29859,35,20,50,FR,France
200127,7,26634,17739,35529,45,30,60,FR,France
200126,7,13863,7666,20060,23,13,33,FR,France
200125,7,17329,9452,25206,29,16,42,FR,France
200124,7,10961,6673,15249,19,12,26,FR,France
200123,7,7892,3888,11896,13,6,20,FR,France
200122,7,10912,4621,17203,18,7,29,FR,France
200121,7,10194,5217,15171,17,9,25,FR,France
200120,7,10390,5710,15070,18,10,26,FR,France
200119,7,10976,5927,16025,19,10,28,FR,France
200118,7,11933,6833,17033,20,11,29,FR,France
200117,7,16250,9256,23244,27,15,39,FR,France
200116,7,14131,8691,19571,24,15,33,FR,France
200115,7,11033,6411,15655,19,11,27,FR,France
200114,7,18381,12349,24413,31,21,41,FR,France
200113,7,15253,9582,20924,26,16,36,FR,France
200112,7,12761,8155,17367,22,14,30,FR,France
200111,7,11592,6790,16394,20,12,28,FR,France
200110,7,11220,6697,15743,19,11,27,FR,France
200109,7,10984,6431,15537,19,11,27,FR,France
200108,7,18335,10145,26525,31,17,45,FR,France
200107,7,17404,10389,24419,29,17,41,FR,France
200106,7,18382,10498,26266,31,18,44,FR,France
200105,7,13455,7904,19006,23,14,32,FR,France
200104,7,16438,10780,22096,28,18,38,FR,France
200103,7,18174,12049,24299,31,21,41,FR,France
200102,7,22905,16080,29730,39,27,51,FR,France
200101,7,29487,21117,37857,50,36,64,FR,France
200052,7,17041,10342,23740,29,18,40,FR,France
200051,7,11749,7358,16140,20,13,27,FR,France
200050,7,14215,8706,19724,24,15,33,FR,France
200049,7,10172,5845,14499,17,10,24,FR,France
200048,7,13683,8322,19044,23,14,32,FR,France
200047,7,9924,5066,14782,17,9,25,FR,France
200046,7,11103,5449,16757,19,9,29,FR,France
200045,7,7870,3542,12198,13,6,20,FR,France
200044,7,11328,6118,16538,19,10,28,FR,France
200043,7,5292,1687,8897,9,3,15,FR,France
200042,7,4410,1293,7527,8,3,13,FR,France
200041,7,5242,1813,8671,9,3,15,FR,France
200040,7,4066,1351,6781,7,2,12,FR,France
200039,7,4574,885,8263,8,2,14,FR,France
200038,7,8241,3875,12607,14,7,21,FR,France
200037,7,3124,423,5825,5,0,10,FR,France
200036,7,731,0,2044,1,0,3,FR,France
200035,7,6605,959,12251,11,1,21,FR,France
200034,7,6924,931,12917,12,2,22,FR,France
200033,7,10713,3957,17469,18,7,29,FR,France
200032,7,15736,5003,26469,27,9,45,FR,France
200031,7,13088,5542,20634,22,9,35,FR,France
200030,7,16422,9062,23782,28,15,41,FR,France
200029,7,16543,8116,24970,28,14,42,FR,France
200028,7,12868,5178,20558,22,9,35,FR,France
200027,7,18228,10887,25569,31,19,43,FR,France
200026,7,17377,10789,23965,30,19,41,FR,France
200025,7,22600,15119,30081,38,25,51,FR,France
200024,7,16046,10504,21588,27,18,36,FR,France
200023,7,11887,6681,17093,20,11,29,FR,France
200022,7,26275,18762,33788,45,32,58,FR,France
200021,7,15921,9967,21875,27,17,37,FR,France
200020,7,19178,12565,25791,33,22,44,FR,France
200019,7,17152,10424,23880,29,18,40,FR,France
200018,7,17571,10754,24388,30,18,42,FR,France
200017,7,9999,5672,14326,17,10,24,FR,France
200016,7,17506,11461,23551,30,20,40,FR,France
200015,7,23333,14747,31919,40,25,55,FR,France
200014,7,15027,9838,20216,26,17,35,FR,France
200013,7,17924,12383,23465,30,21,39,FR,France
200012,7,15415,9917,20913,26,17,35,FR,France
200011,7,12359,7372,17346,21,13,29,FR,France
200010,7,13858,9167,18549,24,16,32,FR,France
200009,7,9096,5451,12741,15,9,21,FR,France
200008,7,10596,6574,14618,18,11,25,FR,France
200007,7,13593,8816,18370,23,15,31,FR,France
200006,7,9017,5391,12643,15,9,21,FR,France
200005,7,12681,7750,17612,22,14,30,FR,France
200004,7,11889,7253,16525,20,12,28,FR,France
200003,7,9171,5628,12714,16,10,22,FR,France
200002,7,10268,5957,14579,17,10,24,FR,France
200001,7,10986,6521,15451,19,11,27,FR,France
199952,7,10358,5667,15049,18,10,26,FR,France
199951,7,10099,6132,14066,17,10,24,FR,France
199950,7,10439,6481,14397,18,11,25,FR,France
199949,7,7736,4269,11203,13,7,19,FR,France
199948,7,11414,6754,16074,20,12,28,FR,France
199947,7,7639,2705,12573,13,5,21,FR,France
199946,7,6544,0,15074,11,0,26,FR,France
199945,7,11273,3165,19381,19,5,33,FR,France
199944,7,8049,3828,12270,14,7,21,FR,France
199943,7,7788,4226,11350,13,7,19,FR,France
199942,7,6779,3659,9899,12,7,17,FR,France
199941,7,5213,2646,7780,9,5,13,FR,France
199940,7,5018,2256,7780,9,4,14,FR,France
199939,7,3108,1141,5075,5,2,8,FR,France
199938,7,2095,143,4047,4,1,7,FR,France
199937,7,3611,1095,6127,6,2,10,FR,France
199936,7,2085,116,4054,4,1,7,FR,France
199935,7,1102,0,2231,2,0,4,FR,France
199934,7,2813,468,5158,5,1,9,FR,France
199933,7,7210,2996,11424,12,5,19,FR,France
199932,7,6981,2822,11140,12,5,19,FR,France
199931,7,6389,2284,10494,11,4,18,FR,France
199930,7,10567,4364,16770,18,7,29,FR,France
199929,7,18284,11145,25423,31,19,43,FR,France
199928,7,21079,13832,28326,36,24,48,FR,France
199927,7,18824,12647,25001,32,21,43,FR,France
199926,7,18098,12190,24006,31,21,41,FR,France
199925,7,23863,16911,30815,41,29,53,FR,France
199924,7,18038,12162,23914,31,21,41,FR,France
199923,7,19660,13601,25719,34,24,44,FR,France
199922,7,18093,12570,23616,31,22,40,FR,France
199921,7,15850,10129,21571,27,17,37,FR,France
199920,7,12241,7408,17074,21,13,29,FR,France
199919,7,10738,6273,15203,18,10,26,FR,France
199918,7,20739,14823,26655,35,25,45,FR,France
199917,7,13993,9229,18757,24,16,32,FR,France
199916,7,16199,10966,21432,28,19,37,FR,France
199915,7,19936,13939,25933,34,24,44,FR,France
199914,7,22907,15999,29815,39,27,51,FR,France
199913,7,18404,11277,25531,31,19,43,FR,France
199912,7,19242,13136,25348,33,23,43,FR,France
199911,7,14923,9872,19974,26,17,35,FR,France
199910,7,16058,10370,21746,27,17,37,FR,France
199909,7,11125,6841,15409,19,12,26,FR,France
199908,7,10840,7075,14605,19,13,25,FR,France
199907,7,13655,9263,18047,23,15,31,FR,France
199906,7,17654,12681,22627,30,21,39,FR,France
199905,7,16838,11942,21734,29,21,37,FR,France
199904,7,17056,12124,21988,29,21,37,FR,France
199903,7,18805,13967,23643,32,24,40,FR,France
199902,7,14863,10135,19591,25,17,33,FR,France
199901,7,13707,9075,18339,23,15,31,FR,France
199853,7,24797,17975,31619,43,31,55,FR,France
199852,7,23616,16902,30330,41,29,53,FR,France
199851,7,13919,9478,18360,24,16,32,FR,France
199850,7,20556,15164,25948,35,26,44,FR,France
199849,7,16232,11327,21137,28,20,36,FR,France
199848,7,11998,7691,16305,21,14,28,FR,France
199847,7,13617,8934,18300,23,15,31,FR,France
199846,7,7646,4419,10873,13,7,19,FR,France
199845,7,15930,10713,21147,27,18,36,FR,France
199844,7,14145,9390,18900,24,16,32,FR,France
199843,7,16707,11447,21967,29,20,38,FR,France
199842,7,12475,7806,17144,21,13,29,FR,France
199841,7,13018,8151,17885,22,14,30,FR,France
199840,7,7396,3653,11139,13,7,19,FR,France
199839,7,4467,1896,7038,8,4,12,FR,France
199838,7,3421,1176,5666,6,2,10,FR,France
199837,7,4489,2136,6842,8,4,12,FR,France
199836,7,6355,2914,9796,11,5,17,FR,France
199835,7,7689,3867,11511,13,6,20,FR,France
199834,7,7235,3191,11279,12,5,19,FR,France
199833,7,11431,6018,16844,20,11,29,FR,France
199832,7,20493,9237,31749,35,16,54,FR,France
199831,7,15619,9125,22113,27,16,38,FR,France
199830,7,19360,12617,26103,33,21,45,FR,France
199829,7,17816,11414,24218,31,20,42,FR,France
199828,7,20757,14385,27129,36,25,47,FR,France
199827,7,20714,14671,26757,36,26,46,FR,France
199826,7,24479,17611,31347,42,30,54,FR,France
199825,7,24462,17924,31000,42,31,53,FR,France
199824,7,18928,13945,23911,32,23,41,FR,France
199823,7,13478,8876,18080,23,15,31,FR,France
199822,7,13213,8997,17429,23,16,30,FR,France
199821,7,10741,6627,14855,18,11,25,FR,France
199820,7,23223,17217,29229,40,30,50,FR,France
199819,7,16130,10667,21593,28,19,37,FR,France
199818,7,15802,10374,21230,27,18,36,FR,France
199817,7,14119,8452,19786,24,14,34,FR,France
199816,7,11744,7632,15856,20,13,27,FR,France
199815,7,17422,12372,22472,30,21,39,FR,France
199814,7,20962,15699,26225,36,27,45,FR,France
199813,7,17029,12181,21877,29,21,37,FR,France
199812,7,14960,10393,19527,26,18,34,FR,France
199811,7,13687,9540,17834,23,16,30,FR,France
199810,7,14294,9623,18965,25,17,33,FR,France
199809,7,12550,8183,16917,22,15,29,FR,France
199808,7,15378,10656,20100,26,18,34,FR,France
199807,7,14618,10083,19153,25,17,33,FR,France
199806,7,15316,10683,19949,26,18,34,FR,France
199805,7,11805,7653,15957,20,13,27,FR,France
199804,7,15746,10733,20759,27,18,36,FR,France
199803,7,13085,8916,17254,22,15,29,FR,France
199802,7,10764,6882,14646,18,11,25,FR,France
199801,7,19222,13376,25068,33,23,43,FR,France
199752,7,18582,12576,24588,32,22,42,FR,France
199751,7,10933,6829,15037,19,12,26,FR,France
199750,7,9622,6005,13239,17,11,23,FR,France
199749,7,12183,8157,16209,21,14,28,FR,France
199748,7,7368,4022,10714,13,7,19,FR,France
199747,7,10482,6595,14369,18,11,25,FR,France
199746,7,8391,4342,12440,14,7,21,FR,France
199745,7,7499,3716,11282,13,6,20,FR,France
199744,7,5492,2442,8542,9,4,14,FR,France
199743,7,4829,2314,7344,8,4,12,FR,France
199742,7,4781,2027,7535,8,3,13,FR,France
199741,7,6622,3367,9877,11,5,17,FR,France
199740,7,2851,764,4938,5,1,9,FR,France
199739,7,3242,851,5633,6,2,10,FR,France
199738,7,2916,579,5253,5,1,9,FR,France
199737,7,4944,2248,7640,9,4,14,FR,France
199736,7,2767,679,4855,5,1,9,FR,France
199735,7,1245,12,2478,2,0,4,FR,France
199734,7,6971,2145,11797,12,4,20,FR,France
199733,7,11167,5245,17089,19,9,29,FR,France
199732,7,12349,6916,17782,21,12,30,FR,France
199731,7,13276,8068,18484,23,14,32,FR,France
199730,7,16463,10419,22507,28,18,38,FR,France
199729,7,12458,6536,18380,21,11,31,FR,France
199728,7,14155,8553,19757,24,14,34,FR,France
199727,7,16611,11473,21749,29,20,38,FR,France
199726,7,14303,10203,18403,25,18,32,FR,France
199725,7,11562,7487,15637,20,13,27,FR,France
199724,7,20722,15143,26301,36,26,46,FR,France
199723,7,11958,8064,15852,21,14,28,FR,France
199722,7,19175,14023,24327,33,24,42,FR,France
199721,7,15933,11074,20792,27,19,35,FR,France
199720,7,16512,11798,21226,28,20,36,FR,France
199719,7,14490,10231,18749,25,18,32,FR,France
199718,7,14033,9863,18203,24,17,31,FR,France
199717,7,17029,12579,21479,29,21,37,FR,France
199716,7,14686,10709,18663,25,18,32,FR,France
199715,7,19100,14311,23889,33,25,41,FR,France
199714,7,17746,13153,22339,31,23,39,FR,France
199713,7,17384,12873,21895,30,22,38,FR,France
199712,7,13589,9321,17857,23,16,30,FR,France
199711,7,16033,11789,20277,28,21,35,FR,France
199710,7,12351,8688,16014,21,15,27,FR,France
199709,7,16809,12329,21289,29,21,37,FR,France
199708,7,9660,6429,12891,17,11,23,FR,France
199707,7,16751,12377,21125,29,21,37,FR,France
199706,7,17151,13029,21273,30,23,37,FR,France
199705,7,12543,9128,15958,22,16,28,FR,France
199704,7,14475,10891,18059,25,19,31,FR,France
199703,7,12135,8727,15543,21,15,27,FR,France
199702,7,15541,11574,19508,27,20,34,FR,France
199701,7,14432,10701,18163,25,19,31,FR,France
199652,7,15556,11735,19377,27,20,34,FR,France
199651,7,14038,10500,17576,24,18,30,FR,France
199650,7,14236,10857,17615,25,19,31,FR,France
199649,7,10776,7924,13628,19,14,24,FR,France
199648,7,7489,4949,10029,13,9,17,FR,France
199647,7,11826,8573,15079,20,14,26,FR,France
199646,7,10269,7201,13337,18,13,23,FR,France
199645,7,17313,12967,21659,30,22,38,FR,France
199644,7,12095,8643,15547,21,15,27,FR,France
199643,7,14958,10739,19177,26,19,33,FR,France
199642,7,14106,10196,18016,24,17,31,FR,France
199641,7,10302,6968,13636,18,12,24,FR,France
199640,7,9514,5990,13038,16,10,22,FR,France
199639,7,6376,3651,9101,11,6,16,FR,France
199638,7,3835,1587,6083,7,3,11,FR,France
199637,7,2746,1100,4392,5,2,8,FR,France
199636,7,4577,2320,6834,8,4,12,FR,France
199635,7,2624,902,4346,5,2,8,FR,France
199634,7,6280,3139,9421,11,6,16,FR,France
199633,7,10194,5347,15041,18,10,26,FR,France
199632,7,10116,5942,14290,17,10,24,FR,France
199631,7,14292,9640,18944,25,17,33,FR,France
199630,7,20862,14786,26938,36,26,46,FR,France
199629,7,17243,12463,22023,30,22,38,FR,France
199628,7,16021,11796,20246,28,21,35,FR,France
199627,7,19880,14406,25354,34,25,43,FR,France
199626,7,12565,8783,16347,22,15,29,FR,France
199625,7,19360,14570,24150,33,25,41,FR,France
199624,7,20778,15610,25946,36,27,45,FR,France
199623,7,17991,13162,22820,31,23,39,FR,France
199622,7,18294,13971,22617,32,25,39,FR,France
199621,7,14000,10136,17864,24,17,31,FR,France
199620,7,16598,12361,20835,29,22,36,FR,France
199619,7,11710,8148,15272,20,14,26,FR,France
199618,7,12140,8325,15955,21,14,28,FR,France
199617,7,17984,13059,22909,31,22,40,FR,France
199616,7,10796,7250,14342,19,13,25,FR,France
199615,7,12766,9101,16431,22,16,28,FR,France
199614,7,14952,10656,19248,26,19,33,FR,France
199613,7,12861,9266,16456,22,16,28,FR,France
199612,7,11592,8202,14982,20,14,26,FR,France
199611,7,15991,12026,19956,28,21,35,FR,France
199610,7,13551,9873,17229,23,17,29,FR,France
199609,7,9737,6799,12675,17,12,22,FR,France
199608,7,11835,8569,15101,20,14,26,FR,France
199607,7,9296,6455,12137,16,11,21,FR,France
199606,7,11330,8078,14582,20,14,26,FR,France
199605,7,10249,7092,13406,18,13,23,FR,France
199604,7,9004,6336,11672,16,11,21,FR,France
199603,7,5904,3709,8099,10,6,14,FR,France
199602,7,6166,4027,8305,11,7,15,FR,France
199601,7,7238,4902,9574,12,8,16,FR,France
199552,7,7808,5225,10391,14,10,18,FR,France
199551,7,10505,7602,13408,18,13,23,FR,France
199550,7,9513,7014,12012,16,12,20,FR,France
199549,7,10263,7482,13044,18,13,23,FR,France
199548,7,9491,6551,12431,16,11,21,FR,France
199547,7,11221,8016,14426,19,13,25,FR,France
199546,7,5104,2852,7356,9,5,13,FR,France
199545,7,5017,2797,7237,9,5,13,FR,France
199544,7,8374,5440,11308,14,9,19,FR,France
199543,7,6365,3429,9301,11,6,16,FR,France
199542,7,5827,3427,8227,10,6,14,FR,France
199541,7,5884,3274,8494,10,5,15,FR,France
199540,7,4653,2571,6735,8,4,12,FR,France
199539,7,4334,2014,6654,8,4,12,FR,France
199538,7,3821,1909,5733,7,4,10,FR,France
199537,7,2297,884,3710,4,2,6,FR,France
199536,7,2317,870,3764,4,1,7,FR,France
199535,7,2531,1035,4027,4,1,7,FR,France
199534,7,5067,2070,8064,9,4,14,FR,France
199533,7,4709,1793,7625,8,3,13,FR,France
199532,7,8030,3945,12115,14,7,21,FR,France
199531,7,12034,7228,16840,21,13,29,FR,France
199530,7,16283,11419,21147,28,20,36,FR,France
199529,7,15520,11209,19831,27,20,34,FR,France
199528,7,21385,16186,26584,37,28,46,FR,France
199527,7,31707,25490,37924,55,44,66,FR,France
199526,7,23680,18921,28439,41,33,49,FR,France
199525,7,27941,22665,33217,48,39,57,FR,France
199524,7,24813,19263,30363,43,33,53,FR,France
199523,7,19371,14610,24132,34,26,42,FR,France
199522,7,16158,12114,20202,28,21,35,FR,France
199521,7,14986,10952,19020,26,19,33,FR,France
199520,7,12831,9059,16603,22,15,29,FR,France
199519,7,15806,11585,20027,27,20,34,FR,France
199518,7,15333,10987,19679,27,19,35,FR,France
199517,7,15551,11471,19631,27,20,34,FR,France
199516,7,15939,12349,19529,28,22,34,FR,France
199515,7,16126,12689,19563,28,22,34,FR,France
199514,7,15247,11965,18529,26,20,32,FR,France
199513,7,16864,13368,20360,29,23,35,FR,France
199512,7,15875,12429,19321,27,21,33,FR,France
199511,7,12844,9644,16044,22,16,28,FR,France
199510,7,15346,11782,18910,27,21,33,FR,France
199509,7,14754,11260,18248,26,20,32,FR,France
199508,7,14521,11077,17965,25,19,31,FR,France
199507,7,14315,10809,17821,25,19,31,FR,France
199506,7,18089,14383,21795,31,25,37,FR,France
199505,7,13414,10176,16652,23,17,29,FR,France
199504,7,15743,12316,19170,27,21,33,FR,France
199503,7,13763,10614,16912,24,19,29,FR,France
199502,7,11495,8490,14500,20,15,25,FR,France
199501,7,13733,10266,17200,24,18,30,FR,France
199452,7,12696,9453,15939,22,16,28,FR,France
199451,7,10390,7458,13322,18,13,23,FR,France
199450,7,8048,5524,10572,14,10,18,FR,France
199449,7,8212,5651,10773,14,10,18,FR,France
199448,7,6481,4250,8712,11,7,15,FR,France
199447,7,7140,4666,9614,12,8,16,FR,France
199446,7,5021,2972,7070,9,5,13,FR,France
199445,7,6759,4267,9251,12,8,16,FR,France
199444,7,9276,5996,12556,16,10,22,FR,France
199443,7,5622,3091,8153,10,6,14,FR,France
199442,7,5848,3383,8313,10,6,14,FR,France
199441,7,4921,2796,7046,9,5,13,FR,France
199440,7,5936,3694,8178,10,6,14,FR,France
199439,7,4090,2080,6100,7,4,10,FR,France
199438,7,2734,1164,4304,5,2,8,FR,France
199437,7,4364,1957,6771,8,4,12,FR,France
199436,7,1991,509,3473,3,0,6,FR,France
199435,7,3676,1494,5858,6,2,10,FR,France
199434,7,6830,3728,9932,12,7,17,FR,France
199433,7,6933,3534,10332,12,6,18,FR,France
199432,7,4851,2299,7403,8,4,12,FR,France
199431,7,7346,3935,10757,13,7,19,FR,France
199430,7,17674,12807,22541,31,23,39,FR,France
199429,7,17175,12461,21889,30,22,38,FR,France
199428,7,16743,12021,21465,29,21,37,FR,France
199427,7,22335,17343,27327,39,30,48,FR,France
199426,7,23679,18832,28526,41,33,49,FR,France
199425,7,24951,20263,29639,43,35,51,FR,France
199424,7,29139,22549,35729,51,40,62,FR,France
199423,7,13583,3641,23525,24,7,41,FR,France
199422,7,16336,4640,28032,28,8,48,FR,France
199421,7,16477,11025,21929,29,20,38,FR,France
199420,7,12872,9458,16286,22,16,28,FR,France
199419,7,13769,10440,17098,24,18,30,FR,France
199418,7,13066,9917,16215,23,18,28,FR,France
199417,7,18648,14838,22458,32,25,39,FR,France
199416,7,17629,13660,21598,31,24,38,FR,France
199415,7,23128,18550,27706,40,32,48,FR,France
199414,7,20128,15971,24285,35,28,42,FR,France
199413,7,16259,12721,19797,28,22,34,FR,France
199412,7,15215,11581,18849,26,20,32,FR,France
199411,7,16439,12812,20066,29,23,35,FR,France
199410,7,20681,16433,24929,36,29,43,FR,France
199409,7,22652,17519,27785,39,30,48,FR,France
199408,7,22067,17044,27090,38,29,47,FR,France
199407,7,15332,11563,19101,27,20,34,FR,France
199406,7,15321,11710,18932,27,21,33,FR,France
199405,7,15264,11523,19005,27,21,33,FR,France
199404,7,10871,7697,14045,19,13,25,FR,France
199403,7,10882,7808,13956,19,14,24,FR,France
199402,7,11834,8348,15320,21,15,27,FR,France
199401,7,11104,8142,14066,19,14,24,FR,France
199352,7,9874,6746,13002,17,12,22,FR,France
199351,7,9565,6818,12312,17,12,22,FR,France
199350,7,6195,4181,8209,11,7,15,FR,France
199349,7,10095,7443,12747,18,13,23,FR,France
199348,7,6413,4261,8565,11,7,15,FR,France
199347,7,7543,4934,10152,13,8,18,FR,France
199346,7,7862,5175,10549,14,9,19,FR,France
199345,7,5648,3511,7785,10,6,14,FR,France
199344,7,6964,4509,9419,12,8,16,FR,France
199343,7,5976,3632,8320,10,6,14,FR,France
199342,7,7669,4853,10485,13,8,18,FR,France
199341,7,9657,6648,12666,17,12,22,FR,France
199340,7,5725,3082,8368,10,5,15,FR,France
199339,7,5520,3207,7833,10,6,14,FR,France
199338,7,2179,888,3470,4,2,6,FR,France
199337,7,1762,557,2967,3,1,5,FR,France
199336,7,3214,1526,4902,6,3,9,FR,France
199335,7,2335,910,3760,4,2,6,FR,France
199334,7,3770,1712,5828,7,3,11,FR,France
199333,7,5925,3250,8600,10,5,15,FR,France
199332,7,12711,8079,17343,22,14,30,FR,France
199331,7,12481,7874,17088,22,14,30,FR,France
199330,7,12584,8619,16549,22,15,29,FR,France
199329,7,13179,8991,17367,23,16,30,FR,France
199328,7,15293,11335,19251,27,20,34,FR,France
199327,7,14134,9791,18477,25,17,33,FR,France
199326,7,17937,13577,22297,31,23,39,FR,France
199325,7,19581,14916,24246,34,26,42,FR,France
199324,7,18285,13450,23120,32,24,40,FR,France
199323,7,16003,11927,20079,28,21,35,FR,France
199322,7,12652,8597,16707,22,15,29,FR,France
199321,7,15218,10970,19466,27,20,34,FR,France
199320,7,11343,7655,15031,20,14,26,FR,France
199319,7,12086,8856,15316,21,15,27,FR,France
199318,7,18898,14305,23491,33,25,41,FR,France
199317,7,14969,10565,19373,26,18,34,FR,France
199316,7,15102,11226,18978,26,19,33,FR,France
199315,7,15058,11183,18933,26,19,33,FR,France
199314,7,12425,9045,15805,22,16,28,FR,France
199313,7,12266,8927,15605,21,15,27,FR,France
199312,7,10821,7884,13758,19,14,24,FR,France
199311,7,11021,8006,14036,19,14,24,FR,France
199310,7,15847,12158,19536,28,22,34,FR,France
199309,7,15084,11059,19109,26,19,33,FR,France
199308,7,16967,12936,20998,30,23,37,FR,France
199307,7,16057,12350,19764,28,22,34,FR,France
199306,7,15887,12275,19499,28,22,34,FR,France
199305,7,15954,12443,19465,28,22,34,FR,France
199304,7,12374,9426,15322,22,17,27,FR,France
199303,7,15283,11831,18735,27,21,33,FR,France
199302,7,13366,10262,16470,23,18,28,FR,France
199301,7,18678,14977,22379,33,27,39,FR,France
199253,7,17829,13827,21831,31,24,38,FR,France
199252,7,14330,10582,18078,25,18,32,FR,France
199251,7,14635,11262,18008,26,20,32,FR,France
199250,7,15252,11566,18938,27,21,33,FR,France
199249,7,14411,11187,17635,25,19,31,FR,France
199248,7,10048,7396,12700,18,13,23,FR,France
199247,7,13069,9752,16386,23,17,29,FR,France
199246,7,6900,4727,9073,12,8,16,FR,France
199245,7,10791,7794,13788,19,14,24,FR,France
199244,7,10205,7482,12928,18,13,23,FR,France
199243,7,7196,4908,9484,13,9,17,FR,France
199242,7,5748,3738,7758,10,6,14,FR,France
199241,7,3587,2045,5129,6,3,9,FR,France
199240,7,5654,3442,7866,10,6,14,FR,France
199239,7,4747,2751,6743,8,5,11,FR,France
199238,7,2842,1306,4378,5,2,8,FR,France
199237,7,4103,2203,6003,7,4,10,FR,France
199236,7,2801,1200,4402,5,2,8,FR,France
199235,7,6428,3717,9139,11,6,16,FR,France
199234,7,7517,4190,10844,13,7,19,FR,France
199233,7,9951,5955,13947,17,10,24,FR,France
199232,7,16090,11337,20843,28,20,36,FR,France
199231,7,17156,12441,21871,30,22,38,FR,France
199230,7,21780,16301,27259,38,28,48,FR,France
199229,7,18926,13397,24455,33,23,43,FR,France
199228,7,28144,20384,35904,49,35,63,FR,France
199227,7,29388,22331,36445,51,39,63,FR,France
199226,7,27933,21686,34180,49,38,60,FR,France
199225,7,26446,21153,31739,46,37,55,FR,France
199224,7,19614,14769,24459,34,26,42,FR,France
199223,7,23628,17852,29404,41,31,51,FR,France
199222,7,20438,14868,26008,36,26,46,FR,France
199221,7,22595,17395,27795,40,31,49,FR,France
199220,7,21092,15963,26221,37,28,46,FR,France
199219,7,19210,13934,24486,34,25,43,FR,France
199218,7,30273,22605,37941,53,40,66,FR,France
199217,7,19162,14251,24073,34,25,43,FR,France
199216,7,15583,11158,20008,27,19,35,FR,France
199215,7,15473,10723,20223,27,19,35,FR,France
199214,7,14455,10040,18870,25,17,33,FR,France
199213,7,17146,12105,22187,30,21,39,FR,France
199212,7,15838,10923,20753,28,19,37,FR,France
199211,7,20003,13824,26182,35,24,46,FR,France
199210,7,22906,16060,29752,40,28,52,FR,France
199209,7,21824,15687,27961,38,27,49,FR,France
199208,7,15243,10265,20221,27,18,36,FR,France
199207,7,22633,16160,29106,40,29,51,FR,France
199206,7,17009,12219,21799,30,22,38,FR,France
199205,7,15997,11590,20404,28,20,36,FR,France
199204,7,20690,15075,26305,36,26,46,FR,France
199203,7,18586,12684,24488,33,23,43,FR,France
199202,7,16588,10590,22586,29,18,40,FR,France
199201,7,23607,16552,30662,41,29,53,FR,France
199152,7,15184,10392,19976,27,19,35,FR,France
199151,7,15043,10624,19462,26,18,34,FR,France
199150,7,14115,9737,18493,25,17,33,FR,France
199149,7,13304,8548,18060,23,15,31,FR,France
199148,7,15370,10164,20576,27,18,36,FR,France
199147,7,12813,8139,17487,23,15,31,FR,France
199146,7,6453,3123,9783,11,5,17,FR,France
199145,7,8048,4083,12013,14,7,21,FR,France
199144,7,9882,5623,14141,17,10,24,FR,France
199143,7,14307,8645,19969,25,15,35,FR,France
199142,7,6419,3334,9504,11,6,16,FR,France
199141,7,6168,3113,9223,11,6,16,FR,France
199140,7,3615,1159,6071,6,2,10,FR,France
199139,7,3105,472,5738,5,0,10,FR,France
199138,7,4446,1435,7457,8,3,13,FR,France
199137,7,1457,0,3262,3,0,6,FR,France
199136,7,3053,29,6077,5,0,10,FR,France
199135,7,805,0,2556,1,0,4,FR,France
199134,7,5512,856,10168,10,2,18,FR,France
199133,7,7347,2903,11791,13,5,21,FR,France
199132,7,16099,7334,24864,28,13,43,FR,France
199131,7,16803,8145,25461,30,15,45,FR,France
199130,7,15915,6368,25462,28,11,45,FR,France
199129,7,23744,14703,32785,42,26,58,FR,France
199128,7,24222,15617,32827,43,28,58,FR,France
199127,7,20309,12868,27750,36,23,49,FR,France
199126,7,17608,11304,23912,31,20,42,FR,France
199125,7,16169,10700,21638,28,18,38,FR,France
199124,7,16171,10071,22271,28,17,39,FR,France
199123,7,11947,7671,16223,21,13,29,FR,France
199122,7,15452,9953,20951,27,17,37,FR,France
199121,7,14903,8975,20831,26,16,36,FR,France
199120,7,19053,12742,25364,34,23,45,FR,France
199119,7,16739,11246,22232,29,19,39,FR,France
199118,7,21385,13882,28888,38,25,51,FR,France
199117,7,13462,8877,18047,24,16,32,FR,France
199116,7,14857,10068,19646,26,18,34,FR,France
199115,7,13975,9781,18169,25,18,32,FR,France
199114,7,12265,7684,16846,22,14,30,FR,France
199113,7,9567,6041,13093,17,11,23,FR,France
199112,7,10864,7331,14397,19,13,25,FR,France
199111,7,15574,11184,19964,27,19,35,FR,France
199110,7,16643,11372,21914,29,20,38,FR,France
199109,7,13741,8780,18702,24,15,33,FR,France
199108,7,13289,8813,17765,23,15,31,FR,France
199107,7,12337,8077,16597,22,15,29,FR,France
199106,7,10877,7013,14741,19,12,26,FR,France
199105,7,10442,6544,14340,18,11,25,FR,France
199104,7,7913,4563,11263,14,8,20,FR,France
199103,7,15387,10484,20290,27,18,36,FR,France
199102,7,16277,11046,21508,29,20,38,FR,France
199101,7,15565,10271,20859,27,18,36,FR,France
199052,7,19375,13295,25455,34,23,45,FR,France
199051,7,19080,13807,24353,34,25,43,FR,France
199050,7,11079,6660,15498,20,12,28,FR,France
199049,7,1143,0,2610,2,0,5,FR,France
module4/README.md 0 → 100644
View file @ e8e42a72
Module 4:
In this module, you will learn more about real-life pitfalls of
reproducible research by trying to reproduce part of the analysis
(*Risk Analysis of the Space Shuttle: Pre-Challenger Prediction of
Failure*) published by Dalal et al. in *Journal of the American
Statistical Association*, Vol. 84, No. 408 (Dec., 1989), pp. 945-957
and available at
[here](https://studies2.hec.fr/jahia/webdav/site/hec/shared/sites/czellarv/acces_anonyme/OringJASA_1989.pdf)
(here is [the official JASA
webpage](http://www.jstor.org/stable/2290069)).
To this end follow the instructions given in
https://app-learninglab.inria.fr/gitlab/moocrr-session1/moocrr-reproducibility-study/
readme.md 0 → 100644
View file @ e8e42a72
# MOOC Recherche Reproductible / Reproducibleesearch Mooc
FR
Ce dépôt contient les fichiers utiles au MOOC Recherche Reproductible.
EN
This repository contains useful files for the Reproducible Research MOOC.
\ No newline at end of file
templates/toy_document.Rmd 0 → 100644
View file @ e8e42a72
---
title: "Votre titre"
author: "Votre nom"
date: "La date du jour"
output: html_document
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```
## Quelques explications
Ceci est un document R markdown que vous pouvez aisément exporter au format HTML, PDF, et MS Word. Pour plus de détails sur R Markdown consultez <http://rmarkdown.rstudio.com>.
Lorsque vous cliquerez sur le bouton **Knit** ce document sera compilé afin de ré-exécuter le code R et d'inclure les résultats dans un document final. Comme nous vous l'avons montré dans la vidéo, on inclue du code R de la façon suivante:
```{r cars}
summary(cars)
```
Et on peut aussi aisément inclure des figures. Par exemple:
```{r pressure, echo=FALSE}
plot(pressure)
```
Vous remarquerez le paramètre `echo = FALSE` qui indique que le code ne doit pas apparaître dans la version finale du document. Nous vous recommandons dans le cadre de ce MOOC de ne pas utiliser ce paramètre car l'objectif est que vos analyses de données soient parfaitement transparentes pour être reproductibles.
Comme les résultats ne sont pas stockés dans les fichiers Rmd, pour faciliter la relecture de vos analyses par d'autres personnes, vous aurez donc intérêt à générer un HTML ou un PDF et à le commiter.
Enfin, pour les prochains exercices, nous ne vous fournirons pas forcément de fichier de départ, ça sera à vous de le créer à partir de Rstudio et de le commiter vers gitlab.
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces informations pour essayer de reproduire le document sur le calcul de $\pi$.
templates/toy_document_orgmode_R.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
# #### :session :exports both
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
R. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclut du code
R de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: [1] "Hello world!"
Voici la même chose, mais avec une session python (c'est le cas le
plus courant, R étant vraiment un langage interactif), donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Et enfin, voici un exemple de sortie graphique:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
#+RESULTS:
[[file:./cars.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cars.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, pour les prochains exercices, nous ne vous fournirons pas
forcément de fichier de départ, ça sera à vous de le créer, par
exemple en repartant de ce document et de le commiter vers
gitlab. N'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code python (en
faisant ~<r~ ou ~<R~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations pour essayer de reproduire le document sur le calcul de
$\pi$.
templates/toy_document_orgmode_python.org 0 → 100644
View file @ e8e42a72
#+TITLE: Votre titre
#+AUTHOR: Votre nom
#+DATE: La date du jour
#+LANGUAGE: fr
# #+PROPERTY: header-args :eval never-export
# #### :session :exports both
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Quelques explications
Ceci est un document org-mode avec quelques exemples de code
python. Une fois ouvert dans emacs, ce document peut aisément être
exporté au format HTML, PDF, et Office. Pour plus de détails sur
org-mode vous pouvez consulter https://orgmode.org/guide/.
Lorsque vous utiliserez le raccourci =C-c C-e h o=, ce document sera
compilé en html. Tout le code contenu sera ré-exécuté, les résultats
récupérés et inclus dans un document final. Si vous ne souhaitez pas
ré-exécuter tout le code à chaque fois, il vous suffit de supprimer
le # et l'espace qui sont devant le ~#+PROPERTY:~ au début de ce
document.
Comme nous vous l'avons montré dans la vidéo, on inclue du code
python de la façon suivante (et on l'exécute en faisant ~C-c C-c~):
#+begin_src python :results output :exports both
print("Hello world!")
#+end_src
#+RESULTS:
: Hello world!
Voici la même chose, mais avec une session python, donc une
persistance d'un bloc à l'autre (et on l'exécute toujours en faisant
~C-c C-c~).
#+begin_src python :results output :session :exports both
import numpy
x=numpy.linspace(-15,15)
print(x)
#+end_src
#+RESULTS:
#+begin_example
[-15. -14.3877551 -13.7755102 -13.16326531 -12.55102041
-11.93877551 -11.32653061 -10.71428571 -10.10204082 -9.48979592
-8.87755102 -8.26530612 -7.65306122 -7.04081633 -6.42857143
-5.81632653 -5.20408163 -4.59183673 -3.97959184 -3.36734694
-2.75510204 -2.14285714 -1.53061224 -0.91836735 -0.30612245
0.30612245 0.91836735 1.53061224 2.14285714 2.75510204
3.36734694 3.97959184 4.59183673 5.20408163 5.81632653
6.42857143 7.04081633 7.65306122 8.26530612 8.87755102
9.48979592 10.10204082 10.71428571 11.32653061 11.93877551
12.55102041 13.16326531 13.7755102 14.3877551 15. ]
#+end_example
Et enfin, voici un exemple de sortie graphique:
#+begin_src python :results output file :session :var matplot_lib_filename="./cosxsx.png" :exports results
import matplotlib.pyplot as plt
plt.figure(figsize=(10,5))
plt.plot(x,numpy.cos(x)/x)
plt.tight_layout()
plt.savefig(matplot_lib_filename)
print(matplot_lib_filename)
#+end_src
#+RESULTS:
[[file:./cosxsx.png]]
Vous remarquerez le paramètre ~:exports results~ qui indique que le code
ne doit pas apparaître dans la version finale du document. Nous vous
recommandons dans le cadre de ce MOOC de ne pas changer ce paramètre
(indiquer ~both~) car l'objectif est que vos analyses de données soient
parfaitement transparentes pour être reproductibles.
Attention, la figure ainsi générée n'est pas stockée dans le document
org. C'est un fichier ordinaire, ici nommé ~cosxsx.png~. N'oubliez pas
de le committer si vous voulez que votre analyse soit lisible et
compréhensible sur GitLab.
Enfin, pour les prochains exercices, nous ne vous fournirons pas
forcément de fichier de départ, ça sera à vous de le créer, par
exemple en repartant de ce document et de le commiter vers
gitlab. N'oubliez pas que nous vous fournissons dans les ressources de
ce MOOC une configuration avec un certain nombre de raccourcis
claviers permettant de créer rapidement les blocs de code python (en
faisant ~<p~, ~<P~ ou ~<PP~ suivi de ~Tab~).
Maintenant, à vous de jouer! Vous pouvez effacer toutes ces
informations pour essayer de reproduire le document sur le calcul de
$\pi$.
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