From 451b9feaa34db4547ad988f281cf5efa3980d47a Mon Sep 17 00:00:00 2001
From: bdfe86a1a57005dbf7a300d9e990e31e
 <bdfe86a1a57005dbf7a300d9e990e31e@app-learninglab.inria.fr>
Date: Mon, 28 Nov 2022 01:03:09 +0000
Subject: [PATCH] no commit message

---
 module3/exo2/exercice.ipynb | 1494 ++++++++++++++++++++++++++++++-
 module3/exo2/varicelle.csv  | 1670 +++++++++++++++++++++++++++++++++++
 2 files changed, 3161 insertions(+), 3 deletions(-)
 create mode 100644 module3/exo2/varicelle.csv

diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb
index 0bbbe37..3e97da9 100644
--- a/module3/exo2/exercice.ipynb
+++ b/module3/exo2/exercice.ipynb
@@ -1,5 +1,1494 @@
 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Incidence de la varicelle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "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 de la varicelle 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 1991 et se termine avec une semaine récente."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_url= \"https://www.sentiweb.fr/datasets/incidence-PAY-7.csv\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_file = \"varicelle.csv\"\n",
+    "\n",
+    "import os\n",
+    "import urllib.request\n",
+    "if not os.path.exists(data_file):\n",
+    "    urllib.request.urlretrieve(data_url, data_file)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "le lien de téléchargement des données pour avoir toujours la version utilisée dans ce code si jamais les données ont été changées sur le site"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Voici l'explication des colonnes données [sur le site d'origine](https://www.sentiweb.fr/datasets/incidence-PAY-7.json):\n",
+    "\n",
+    "La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "scrolled": true
+   },
+   "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>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>202246</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2941</td>\n",
+       "      <td>1100</td>\n",
+       "      <td>4782</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202245</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3895</td>\n",
+       "      <td>1762</td>\n",
+       "      <td>6028</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202244</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4271</td>\n",
+       "      <td>2231</td>\n",
+       "      <td>6311</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202243</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5863</td>\n",
+       "      <td>3302</td>\n",
+       "      <td>8424</td>\n",
+       "      <td>9</td>\n",
+       "      <td>5</td>\n",
+       "      <td>13</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202242</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3770</td>\n",
+       "      <td>1950</td>\n",
+       "      <td>5590</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>202241</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4177</td>\n",
+       "      <td>2219</td>\n",
+       "      <td>6135</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202240</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4883</td>\n",
+       "      <td>1472</td>\n",
+       "      <td>8294</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>12</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202239</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2041</td>\n",
+       "      <td>331</td>\n",
+       "      <td>3751</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202238</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1771</td>\n",
+       "      <td>419</td>\n",
+       "      <td>3123</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>202237</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1725</td>\n",
+       "      <td>499</td>\n",
+       "      <td>2951</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202236</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1069</td>\n",
+       "      <td>178</td>\n",
+       "      <td>1960</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202235</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1581</td>\n",
+       "      <td>400</td>\n",
+       "      <td>2762</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202234</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2266</td>\n",
+       "      <td>788</td>\n",
+       "      <td>3744</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202233</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7340</td>\n",
+       "      <td>0</td>\n",
+       "      <td>17399</td>\n",
+       "      <td>11</td>\n",
+       "      <td>0</td>\n",
+       "      <td>26</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202232</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7801</td>\n",
+       "      <td>4086</td>\n",
+       "      <td>11516</td>\n",
+       "      <td>12</td>\n",
+       "      <td>6</td>\n",
+       "      <td>18</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202231</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6896</td>\n",
+       "      <td>4170</td>\n",
+       "      <td>9622</td>\n",
+       "      <td>10</td>\n",
+       "      <td>6</td>\n",
+       "      <td>14</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202230</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9039</td>\n",
+       "      <td>5770</td>\n",
+       "      <td>12308</td>\n",
+       "      <td>14</td>\n",
+       "      <td>9</td>\n",
+       "      <td>19</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202229</td>\n",
+       "      <td>7</td>\n",
+       "      <td>14851</td>\n",
+       "      <td>10060</td>\n",
+       "      <td>19642</td>\n",
+       "      <td>22</td>\n",
+       "      <td>15</td>\n",
+       "      <td>29</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202228</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15471</td>\n",
+       "      <td>11028</td>\n",
+       "      <td>19914</td>\n",
+       "      <td>23</td>\n",
+       "      <td>16</td>\n",
+       "      <td>30</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>202227</td>\n",
+       "      <td>7</td>\n",
+       "      <td>21191</td>\n",
+       "      <td>16198</td>\n",
+       "      <td>26184</td>\n",
+       "      <td>32</td>\n",
+       "      <td>24</td>\n",
+       "      <td>40</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202226</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16854</td>\n",
+       "      <td>12806</td>\n",
+       "      <td>20902</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19</td>\n",
+       "      <td>31</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202225</td>\n",
+       "      <td>7</td>\n",
+       "      <td>22246</td>\n",
+       "      <td>18011</td>\n",
+       "      <td>26481</td>\n",
+       "      <td>34</td>\n",
+       "      <td>28</td>\n",
+       "      <td>40</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202224</td>\n",
+       "      <td>7</td>\n",
+       "      <td>22458</td>\n",
+       "      <td>18105</td>\n",
+       "      <td>26811</td>\n",
+       "      <td>34</td>\n",
+       "      <td>27</td>\n",
+       "      <td>41</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>202223</td>\n",
+       "      <td>7</td>\n",
+       "      <td>18772</td>\n",
+       "      <td>14875</td>\n",
+       "      <td>22669</td>\n",
+       "      <td>28</td>\n",
+       "      <td>22</td>\n",
+       "      <td>34</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>202222</td>\n",
+       "      <td>7</td>\n",
+       "      <td>18916</td>\n",
+       "      <td>14941</td>\n",
+       "      <td>22891</td>\n",
+       "      <td>29</td>\n",
+       "      <td>23</td>\n",
+       "      <td>35</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202221</td>\n",
+       "      <td>7</td>\n",
+       "      <td>20310</td>\n",
+       "      <td>16307</td>\n",
+       "      <td>24313</td>\n",
+       "      <td>31</td>\n",
+       "      <td>25</td>\n",
+       "      <td>37</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202220</td>\n",
+       "      <td>7</td>\n",
+       "      <td>23585</td>\n",
+       "      <td>19004</td>\n",
+       "      <td>28166</td>\n",
+       "      <td>36</td>\n",
+       "      <td>29</td>\n",
+       "      <td>43</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202219</td>\n",
+       "      <td>7</td>\n",
+       "      <td>18593</td>\n",
+       "      <td>14181</td>\n",
+       "      <td>23005</td>\n",
+       "      <td>28</td>\n",
+       "      <td>21</td>\n",
+       "      <td>35</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202218</td>\n",
+       "      <td>7</td>\n",
+       "      <td>17851</td>\n",
+       "      <td>13963</td>\n",
+       "      <td>21739</td>\n",
+       "      <td>27</td>\n",
+       "      <td>21</td>\n",
+       "      <td>33</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202217</td>\n",
+       "      <td>7</td>\n",
+       "      <td>20314</td>\n",
+       "      <td>16001</td>\n",
+       "      <td>24627</td>\n",
+       "      <td>31</td>\n",
+       "      <td>24</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1638</th>\n",
+       "      <td>199126</td>\n",
+       "      <td>7</td>\n",
+       "      <td>17608</td>\n",
+       "      <td>11304</td>\n",
+       "      <td>23912</td>\n",
+       "      <td>31</td>\n",
+       "      <td>20</td>\n",
+       "      <td>42</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1639</th>\n",
+       "      <td>199125</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16169</td>\n",
+       "      <td>10700</td>\n",
+       "      <td>21638</td>\n",
+       "      <td>28</td>\n",
+       "      <td>18</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1640</th>\n",
+       "      <td>199124</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16171</td>\n",
+       "      <td>10071</td>\n",
+       "      <td>22271</td>\n",
+       "      <td>28</td>\n",
+       "      <td>17</td>\n",
+       "      <td>39</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1641</th>\n",
+       "      <td>199123</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11947</td>\n",
+       "      <td>7671</td>\n",
+       "      <td>16223</td>\n",
+       "      <td>21</td>\n",
+       "      <td>13</td>\n",
+       "      <td>29</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1642</th>\n",
+       "      <td>199122</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15452</td>\n",
+       "      <td>9953</td>\n",
+       "      <td>20951</td>\n",
+       "      <td>27</td>\n",
+       "      <td>17</td>\n",
+       "      <td>37</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1643</th>\n",
+       "      <td>199121</td>\n",
+       "      <td>7</td>\n",
+       "      <td>14903</td>\n",
+       "      <td>8975</td>\n",
+       "      <td>20831</td>\n",
+       "      <td>26</td>\n",
+       "      <td>16</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1644</th>\n",
+       "      <td>199120</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19053</td>\n",
+       "      <td>12742</td>\n",
+       "      <td>25364</td>\n",
+       "      <td>34</td>\n",
+       "      <td>23</td>\n",
+       "      <td>45</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1645</th>\n",
+       "      <td>199119</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16739</td>\n",
+       "      <td>11246</td>\n",
+       "      <td>22232</td>\n",
+       "      <td>29</td>\n",
+       "      <td>19</td>\n",
+       "      <td>39</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1646</th>\n",
+       "      <td>199118</td>\n",
+       "      <td>7</td>\n",
+       "      <td>21385</td>\n",
+       "      <td>13882</td>\n",
+       "      <td>28888</td>\n",
+       "      <td>38</td>\n",
+       "      <td>25</td>\n",
+       "      <td>51</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1647</th>\n",
+       "      <td>199117</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13462</td>\n",
+       "      <td>8877</td>\n",
+       "      <td>18047</td>\n",
+       "      <td>24</td>\n",
+       "      <td>16</td>\n",
+       "      <td>32</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1648</th>\n",
+       "      <td>199116</td>\n",
+       "      <td>7</td>\n",
+       "      <td>14857</td>\n",
+       "      <td>10068</td>\n",
+       "      <td>19646</td>\n",
+       "      <td>26</td>\n",
+       "      <td>18</td>\n",
+       "      <td>34</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1649</th>\n",
+       "      <td>199115</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13975</td>\n",
+       "      <td>9781</td>\n",
+       "      <td>18169</td>\n",
+       "      <td>25</td>\n",
+       "      <td>18</td>\n",
+       "      <td>32</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1650</th>\n",
+       "      <td>199114</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12265</td>\n",
+       "      <td>7684</td>\n",
+       "      <td>16846</td>\n",
+       "      <td>22</td>\n",
+       "      <td>14</td>\n",
+       "      <td>30</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1651</th>\n",
+       "      <td>199113</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9567</td>\n",
+       "      <td>6041</td>\n",
+       "      <td>13093</td>\n",
+       "      <td>17</td>\n",
+       "      <td>11</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1652</th>\n",
+       "      <td>199112</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10864</td>\n",
+       "      <td>7331</td>\n",
+       "      <td>14397</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "      <td>25</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1653</th>\n",
+       "      <td>199111</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15574</td>\n",
+       "      <td>11184</td>\n",
+       "      <td>19964</td>\n",
+       "      <td>27</td>\n",
+       "      <td>19</td>\n",
+       "      <td>35</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1654</th>\n",
+       "      <td>199110</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16643</td>\n",
+       "      <td>11372</td>\n",
+       "      <td>21914</td>\n",
+       "      <td>29</td>\n",
+       "      <td>20</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1655</th>\n",
+       "      <td>199109</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13741</td>\n",
+       "      <td>8780</td>\n",
+       "      <td>18702</td>\n",
+       "      <td>24</td>\n",
+       "      <td>15</td>\n",
+       "      <td>33</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1656</th>\n",
+       "      <td>199108</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13289</td>\n",
+       "      <td>8813</td>\n",
+       "      <td>17765</td>\n",
+       "      <td>23</td>\n",
+       "      <td>15</td>\n",
+       "      <td>31</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1657</th>\n",
+       "      <td>199107</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12337</td>\n",
+       "      <td>8077</td>\n",
+       "      <td>16597</td>\n",
+       "      <td>22</td>\n",
+       "      <td>15</td>\n",
+       "      <td>29</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1658</th>\n",
+       "      <td>199106</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10877</td>\n",
+       "      <td>7013</td>\n",
+       "      <td>14741</td>\n",
+       "      <td>19</td>\n",
+       "      <td>12</td>\n",
+       "      <td>26</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1659</th>\n",
+       "      <td>199105</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10442</td>\n",
+       "      <td>6544</td>\n",
+       "      <td>14340</td>\n",
+       "      <td>18</td>\n",
+       "      <td>11</td>\n",
+       "      <td>25</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1660</th>\n",
+       "      <td>199104</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7913</td>\n",
+       "      <td>4563</td>\n",
+       "      <td>11263</td>\n",
+       "      <td>14</td>\n",
+       "      <td>8</td>\n",
+       "      <td>20</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1661</th>\n",
+       "      <td>199103</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15387</td>\n",
+       "      <td>10484</td>\n",
+       "      <td>20290</td>\n",
+       "      <td>27</td>\n",
+       "      <td>18</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1662</th>\n",
+       "      <td>199102</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16277</td>\n",
+       "      <td>11046</td>\n",
+       "      <td>21508</td>\n",
+       "      <td>29</td>\n",
+       "      <td>20</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1663</th>\n",
+       "      <td>199101</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15565</td>\n",
+       "      <td>10271</td>\n",
+       "      <td>20859</td>\n",
+       "      <td>27</td>\n",
+       "      <td>18</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1664</th>\n",
+       "      <td>199052</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19375</td>\n",
+       "      <td>13295</td>\n",
+       "      <td>25455</td>\n",
+       "      <td>34</td>\n",
+       "      <td>23</td>\n",
+       "      <td>45</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1665</th>\n",
+       "      <td>199051</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19080</td>\n",
+       "      <td>13807</td>\n",
+       "      <td>24353</td>\n",
+       "      <td>34</td>\n",
+       "      <td>25</td>\n",
+       "      <td>43</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1666</th>\n",
+       "      <td>199050</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11079</td>\n",
+       "      <td>6660</td>\n",
+       "      <td>15498</td>\n",
+       "      <td>20</td>\n",
+       "      <td>12</td>\n",
+       "      <td>28</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1667</th>\n",
+       "      <td>199049</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1143</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2610</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1668 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator    inc  inc_low  inc_up  inc100  inc100_low  \\\n",
+       "0     202246          7   2941     1100    4782       4           1   \n",
+       "1     202245          7   3895     1762    6028       6           3   \n",
+       "2     202244          7   4271     2231    6311       6           3   \n",
+       "3     202243          7   5863     3302    8424       9           5   \n",
+       "4     202242          7   3770     1950    5590       6           3   \n",
+       "5     202241          7   4177     2219    6135       6           3   \n",
+       "6     202240          7   4883     1472    8294       7           2   \n",
+       "7     202239          7   2041      331    3751       3           0   \n",
+       "8     202238          7   1771      419    3123       3           1   \n",
+       "9     202237          7   1725      499    2951       3           1   \n",
+       "10    202236          7   1069      178    1960       2           1   \n",
+       "11    202235          7   1581      400    2762       2           0   \n",
+       "12    202234          7   2266      788    3744       3           1   \n",
+       "13    202233          7   7340        0   17399      11           0   \n",
+       "14    202232          7   7801     4086   11516      12           6   \n",
+       "15    202231          7   6896     4170    9622      10           6   \n",
+       "16    202230          7   9039     5770   12308      14           9   \n",
+       "17    202229          7  14851    10060   19642      22          15   \n",
+       "18    202228          7  15471    11028   19914      23          16   \n",
+       "19    202227          7  21191    16198   26184      32          24   \n",
+       "20    202226          7  16854    12806   20902      25          19   \n",
+       "21    202225          7  22246    18011   26481      34          28   \n",
+       "22    202224          7  22458    18105   26811      34          27   \n",
+       "23    202223          7  18772    14875   22669      28          22   \n",
+       "24    202222          7  18916    14941   22891      29          23   \n",
+       "25    202221          7  20310    16307   24313      31          25   \n",
+       "26    202220          7  23585    19004   28166      36          29   \n",
+       "27    202219          7  18593    14181   23005      28          21   \n",
+       "28    202218          7  17851    13963   21739      27          21   \n",
+       "29    202217          7  20314    16001   24627      31          24   \n",
+       "...      ...        ...    ...      ...     ...     ...         ...   \n",
+       "1638  199126          7  17608    11304   23912      31          20   \n",
+       "1639  199125          7  16169    10700   21638      28          18   \n",
+       "1640  199124          7  16171    10071   22271      28          17   \n",
+       "1641  199123          7  11947     7671   16223      21          13   \n",
+       "1642  199122          7  15452     9953   20951      27          17   \n",
+       "1643  199121          7  14903     8975   20831      26          16   \n",
+       "1644  199120          7  19053    12742   25364      34          23   \n",
+       "1645  199119          7  16739    11246   22232      29          19   \n",
+       "1646  199118          7  21385    13882   28888      38          25   \n",
+       "1647  199117          7  13462     8877   18047      24          16   \n",
+       "1648  199116          7  14857    10068   19646      26          18   \n",
+       "1649  199115          7  13975     9781   18169      25          18   \n",
+       "1650  199114          7  12265     7684   16846      22          14   \n",
+       "1651  199113          7   9567     6041   13093      17          11   \n",
+       "1652  199112          7  10864     7331   14397      19          13   \n",
+       "1653  199111          7  15574    11184   19964      27          19   \n",
+       "1654  199110          7  16643    11372   21914      29          20   \n",
+       "1655  199109          7  13741     8780   18702      24          15   \n",
+       "1656  199108          7  13289     8813   17765      23          15   \n",
+       "1657  199107          7  12337     8077   16597      22          15   \n",
+       "1658  199106          7  10877     7013   14741      19          12   \n",
+       "1659  199105          7  10442     6544   14340      18          11   \n",
+       "1660  199104          7   7913     4563   11263      14           8   \n",
+       "1661  199103          7  15387    10484   20290      27          18   \n",
+       "1662  199102          7  16277    11046   21508      29          20   \n",
+       "1663  199101          7  15565    10271   20859      27          18   \n",
+       "1664  199052          7  19375    13295   25455      34          23   \n",
+       "1665  199051          7  19080    13807   24353      34          25   \n",
+       "1666  199050          7  11079     6660   15498      20          12   \n",
+       "1667  199049          7   1143        0    2610       2           0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0             7        FR   France  \n",
+       "1             9        FR   France  \n",
+       "2             9        FR   France  \n",
+       "3            13        FR   France  \n",
+       "4             9        FR   France  \n",
+       "5             9        FR   France  \n",
+       "6            12        FR   France  \n",
+       "7             6        FR   France  \n",
+       "8             5        FR   France  \n",
+       "9             5        FR   France  \n",
+       "10            3        FR   France  \n",
+       "11            4        FR   France  \n",
+       "12            5        FR   France  \n",
+       "13           26        FR   France  \n",
+       "14           18        FR   France  \n",
+       "15           14        FR   France  \n",
+       "16           19        FR   France  \n",
+       "17           29        FR   France  \n",
+       "18           30        FR   France  \n",
+       "19           40        FR   France  \n",
+       "20           31        FR   France  \n",
+       "21           40        FR   France  \n",
+       "22           41        FR   France  \n",
+       "23           34        FR   France  \n",
+       "24           35        FR   France  \n",
+       "25           37        FR   France  \n",
+       "26           43        FR   France  \n",
+       "27           35        FR   France  \n",
+       "28           33        FR   France  \n",
+       "29           38        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1638         42        FR   France  \n",
+       "1639         38        FR   France  \n",
+       "1640         39        FR   France  \n",
+       "1641         29        FR   France  \n",
+       "1642         37        FR   France  \n",
+       "1643         36        FR   France  \n",
+       "1644         45        FR   France  \n",
+       "1645         39        FR   France  \n",
+       "1646         51        FR   France  \n",
+       "1647         32        FR   France  \n",
+       "1648         34        FR   France  \n",
+       "1649         32        FR   France  \n",
+       "1650         30        FR   France  \n",
+       "1651         23        FR   France  \n",
+       "1652         25        FR   France  \n",
+       "1653         35        FR   France  \n",
+       "1654         38        FR   France  \n",
+       "1655         33        FR   France  \n",
+       "1656         31        FR   France  \n",
+       "1657         29        FR   France  \n",
+       "1658         26        FR   France  \n",
+       "1659         25        FR   France  \n",
+       "1660         20        FR   France  \n",
+       "1661         36        FR   France  \n",
+       "1662         38        FR   France  \n",
+       "1663         36        FR   France  \n",
+       "1664         45        FR   France  \n",
+       "1665         43        FR   France  \n",
+       "1666         28        FR   France  \n",
+       "1667          5        FR   France  \n",
+       "\n",
+       "[1668 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data = pd.read_csv(data_file, skiprows=1)\n",
+    "raw_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "il n'y a pas de données manquantes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "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>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data[raw_data.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = raw_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": 7,
+   "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": 8,
+   "metadata": {},
+   "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": 9,
+   "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": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f235872fda0>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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": [
+    "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": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2356288668>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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": [
+    "sorted_data['inc'][-200:].plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Etude de l'incidence annuelle"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "nous définissons la période de référence\n",
+    "entre deux minima de l'incidence, du 1er septembre de l'année $N$ au\n",
+    "1er septembre 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 septembre de chaque année, nous utilisons le\n",
+    "premier jour de la semaine qui contient le 1er septembre.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "first_september_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n",
+    "                     for y in range(1991,\n",
+    "                                    sorted_data.index[-1].year)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "En partant de cette liste des semaines qui contiennent un 1er septembre, 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": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "year = []\n",
+    "yearly_incidence = []\n",
+    "for week1, week2 in zip(first_september_week[:-1],\n",
+    "                        first_september_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": 14,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f235620ff28>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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": [
+    "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": 15,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2020    221186\n",
+       "2021    376290\n",
+       "2002    516689\n",
+       "2018    542312\n",
+       "2017    551041\n",
+       "1996    564901\n",
+       "2019    584066\n",
+       "2015    604382\n",
+       "2000    617597\n",
+       "2001    619041\n",
+       "2012    624573\n",
+       "2005    628464\n",
+       "2006    632833\n",
+       "2011    642368\n",
+       "1993    643387\n",
+       "1995    652478\n",
+       "1994    661409\n",
+       "1998    677775\n",
+       "1997    683434\n",
+       "2014    685769\n",
+       "2013    698332\n",
+       "2007    717352\n",
+       "2008    749478\n",
+       "1999    756456\n",
+       "2003    758363\n",
+       "2004    777388\n",
+       "2016    782114\n",
+       "2010    829911\n",
+       "1992    832939\n",
+       "2009    842373\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "yearly_incidence.sort_values()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Enfin, un histogramme montre bien que les épidémies fortes, qui touchent environ 1.5% de la population\n",
+    "  française, sont assez rares: il y en eu trois au cours des 29 dernières années."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f23561db940>"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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": [
+    "yearly_incidence.hist(xrot=20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +1505,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-
diff --git a/module3/exo2/varicelle.csv b/module3/exo2/varicelle.csv
new file mode 100644
index 0000000..1f74500
--- /dev/null
+++ b/module3/exo2/varicelle.csv
@@ -0,0 +1,1670 @@
+# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[199049,202246],"geo":["PAY","1"],"geo_ref":"insee","indicator":"7","type":"all","conf_int":true,"compact":false}, @date=2022-11-28T01:38:55+01:00
+week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
+202246,7,2941,1100,4782,4,1,7,FR,France
+202245,7,3895,1762,6028,6,3,9,FR,France
+202244,7,4271,2231,6311,6,3,9,FR,France
+202243,7,5863,3302,8424,9,5,13,FR,France
+202242,7,3770,1950,5590,6,3,9,FR,France
+202241,7,4177,2219,6135,6,3,9,FR,France
+202240,7,4883,1472,8294,7,2,12,FR,France
+202239,7,2041,331,3751,3,0,6,FR,France
+202238,7,1771,419,3123,3,1,5,FR,France
+202237,7,1725,499,2951,3,1,5,FR,France
+202236,7,1069,178,1960,2,1,3,FR,France
+202235,7,1581,400,2762,2,0,4,FR,France
+202234,7,2266,788,3744,3,1,5,FR,France
+202233,7,7340,0,17399,11,0,26,FR,France
+202232,7,7801,4086,11516,12,6,18,FR,France
+202231,7,6896,4170,9622,10,6,14,FR,France
+202230,7,9039,5770,12308,14,9,19,FR,France
+202229,7,14851,10060,19642,22,15,29,FR,France
+202228,7,15471,11028,19914,23,16,30,FR,France
+202227,7,21191,16198,26184,32,24,40,FR,France
+202226,7,16854,12806,20902,25,19,31,FR,France
+202225,7,22246,18011,26481,34,28,40,FR,France
+202224,7,22458,18105,26811,34,27,41,FR,France
+202223,7,18772,14875,22669,28,22,34,FR,France
+202222,7,18916,14941,22891,29,23,35,FR,France
+202221,7,20310,16307,24313,31,25,37,FR,France
+202220,7,23585,19004,28166,36,29,43,FR,France
+202219,7,18593,14181,23005,28,21,35,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
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+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
-- 
2.18.1