diff --git a/module3/exo2/exercice_fr.ipynb b/module3/exo2/exercice_fr.ipynb
index 0bbbe371b01e359e381e43239412d77bf53fb1fb..d7b8c164a0d7c8195863c97489ad751926d61d7f 100644
--- a/module3/exo2/exercice_fr.ipynb
+++ b/module3/exo2/exercice_fr.ipynb
@@ -1,5 +1,1387 @@
 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#  Incidence du syndrome de la varicelle"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Pour mémoire : \n",
+    "\n",
+    "En épidémiologie, le taux d'incidence rapporte le nombre de nouveaux cas d'une pathologie observés pendant une période donnée - population incidente- à la population dont sont issus les cas (pendant cette même période) - population cible -. Il est un des critères les plus importants pour évaluer la fréquence et la vitesse d'apparition d'une pathologie.\n",
+    "\n",
+    "Le taux d'incidence s'exprime généralement en « nombre de personnes pour 100 000 personnes par année », afin de permettre des comparaisons entre les populations et dans le temps.\n",
+    "\n",
+    "Source : https://www.insee.fr/fr/metadonnees/definition/c1060"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "# https://matplotlib.org/api/pyplot_api.html\n",
+    "import matplotlib.pyplot as plt\n",
+    "# https://pandas.pydata.org\n",
+    "import pandas as pd\n",
+    "# https://pypi.org/project/isoweek/\n",
+    "import isoweek"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Les données de l'incidence du syndrome de la varicelle sont disponibles du site Web du Réseau Sentinelles :  https://www.sentiweb.fr/france/fr/?page=table\n",
+    "\n",
+    "Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée.\n",
+    "\n",
+    "Nous téléchargeons toujours le jeu de données complet, qui commence en 1990 (et avant ?) et se termine avec une semaine récente."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# URL par défaut sur le portail du réseau Sentinelles\n",
+    "data_url = \"https://www.sentiweb.fr/datasets/incidence-PAY-7.csv\"\n",
+    "# Fichier local à utiliser dans tous les cas\n",
+    "data_local = \"local-syndrome-varicelle.csv\"\n",
+    "\n",
+    "# https://docs.python.org/fr/3.6/library/os.html\n",
+    "# https://docs.python.org/fr/3.6/library/os.path.html#module-os.path\n",
+    "import os\n",
+    "# https://docs.python.org/fr/3/library/urllib.html\n",
+    "import urllib.request\n",
+    "\n",
+    "# Est-ce que le fichier local existe ?\n",
+    "if not os.path.exists(data_local):\n",
+    "    print(\"Récupération des données via \" + data_url)\n",
+    "    urllib.request.urlretrieve(data_url, data_local)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Données brutes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "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",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>202032</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2559</td>\n",
+       "      <td>624</td>\n",
+       "      <td>4494</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>202031</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1303</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2506</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>2</th>\n",
+       "      <td>202030</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1385</td>\n",
+       "      <td>75</td>\n",
+       "      <td>2695</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>3</th>\n",
+       "      <td>202029</td>\n",
+       "      <td>7</td>\n",
+       "      <td>841</td>\n",
+       "      <td>10</td>\n",
+       "      <td>1672</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202028</td>\n",
+       "      <td>7</td>\n",
+       "      <td>728</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1515</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>202027</td>\n",
+       "      <td>7</td>\n",
+       "      <td>986</td>\n",
+       "      <td>149</td>\n",
+       "      <td>1823</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202026</td>\n",
+       "      <td>7</td>\n",
+       "      <td>694</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1454</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202025</td>\n",
+       "      <td>7</td>\n",
+       "      <td>228</td>\n",
+       "      <td>0</td>\n",
+       "      <td>597</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202024</td>\n",
+       "      <td>7</td>\n",
+       "      <td>388</td>\n",
+       "      <td>0</td>\n",
+       "      <td>959</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>202023</td>\n",
+       "      <td>7</td>\n",
+       "      <td>558</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1115</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202022</td>\n",
+       "      <td>7</td>\n",
+       "      <td>277</td>\n",
+       "      <td>0</td>\n",
+       "      <td>633</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202021</td>\n",
+       "      <td>7</td>\n",
+       "      <td>602</td>\n",
+       "      <td>36</td>\n",
+       "      <td>1168</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202020</td>\n",
+       "      <td>7</td>\n",
+       "      <td>824</td>\n",
+       "      <td>20</td>\n",
+       "      <td>1628</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202019</td>\n",
+       "      <td>7</td>\n",
+       "      <td>310</td>\n",
+       "      <td>0</td>\n",
+       "      <td>753</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202018</td>\n",
+       "      <td>7</td>\n",
+       "      <td>849</td>\n",
+       "      <td>98</td>\n",
+       "      <td>1600</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202017</td>\n",
+       "      <td>7</td>\n",
+       "      <td>272</td>\n",
+       "      <td>0</td>\n",
+       "      <td>658</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202016</td>\n",
+       "      <td>7</td>\n",
+       "      <td>758</td>\n",
+       "      <td>78</td>\n",
+       "      <td>1438</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202015</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1918</td>\n",
+       "      <td>675</td>\n",
+       "      <td>3161</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>18</th>\n",
+       "      <td>202014</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3879</td>\n",
+       "      <td>2227</td>\n",
+       "      <td>5531</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>19</th>\n",
+       "      <td>202013</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7326</td>\n",
+       "      <td>5236</td>\n",
+       "      <td>9416</td>\n",
+       "      <td>11</td>\n",
+       "      <td>8</td>\n",
+       "      <td>14</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202012</td>\n",
+       "      <td>7</td>\n",
+       "      <td>8123</td>\n",
+       "      <td>5790</td>\n",
+       "      <td>10456</td>\n",
+       "      <td>12</td>\n",
+       "      <td>8</td>\n",
+       "      <td>16</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202011</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10198</td>\n",
+       "      <td>7568</td>\n",
+       "      <td>12828</td>\n",
+       "      <td>15</td>\n",
+       "      <td>11</td>\n",
+       "      <td>19</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202010</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9011</td>\n",
+       "      <td>6691</td>\n",
+       "      <td>11331</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10</td>\n",
+       "      <td>18</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>202009</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13631</td>\n",
+       "      <td>10544</td>\n",
+       "      <td>16718</td>\n",
+       "      <td>21</td>\n",
+       "      <td>16</td>\n",
+       "      <td>26</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>202008</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10424</td>\n",
+       "      <td>7708</td>\n",
+       "      <td>13140</td>\n",
+       "      <td>16</td>\n",
+       "      <td>12</td>\n",
+       "      <td>20</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202007</td>\n",
+       "      <td>7</td>\n",
+       "      <td>8959</td>\n",
+       "      <td>6574</td>\n",
+       "      <td>11344</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10</td>\n",
+       "      <td>18</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202006</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9264</td>\n",
+       "      <td>6925</td>\n",
+       "      <td>11603</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10</td>\n",
+       "      <td>18</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202005</td>\n",
+       "      <td>7</td>\n",
+       "      <td>8505</td>\n",
+       "      <td>6314</td>\n",
+       "      <td>10696</td>\n",
+       "      <td>13</td>\n",
+       "      <td>10</td>\n",
+       "      <td>16</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202004</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7991</td>\n",
+       "      <td>5831</td>\n",
+       "      <td>10151</td>\n",
+       "      <td>12</td>\n",
+       "      <td>9</td>\n",
+       "      <td>15</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202003</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5968</td>\n",
+       "      <td>4100</td>\n",
+       "      <td>7836</td>\n",
+       "      <td>9</td>\n",
+       "      <td>6</td>\n",
+       "      <td>12</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>1519</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>1520</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>1521</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>1522</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>1523</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>1524</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>1525</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>1526</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>1527</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>1528</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>1529</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>1530</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>1531</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>1532</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>1533</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>1534</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>1535</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>1536</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>1537</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>1538</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>1539</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>1540</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>1541</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>1542</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>1543</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>1544</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>1545</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>1546</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>1547</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>1548</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>1549 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator    inc  inc_low  inc_up  inc100  inc100_low  \\\n",
+       "0     202032          7   2559      624    4494       4           1   \n",
+       "1     202031          7   1303      100    2506       2           0   \n",
+       "2     202030          7   1385       75    2695       2           0   \n",
+       "3     202029          7    841       10    1672       1           0   \n",
+       "4     202028          7    728        0    1515       1           0   \n",
+       "5     202027          7    986      149    1823       1           0   \n",
+       "6     202026          7    694        0    1454       1           0   \n",
+       "7     202025          7    228        0     597       0           0   \n",
+       "8     202024          7    388        0     959       1           0   \n",
+       "9     202023          7    558        1    1115       1           0   \n",
+       "10    202022          7    277        0     633       0           0   \n",
+       "11    202021          7    602       36    1168       1           0   \n",
+       "12    202020          7    824       20    1628       1           0   \n",
+       "13    202019          7    310        0     753       0           0   \n",
+       "14    202018          7    849       98    1600       1           0   \n",
+       "15    202017          7    272        0     658       0           0   \n",
+       "16    202016          7    758       78    1438       1           0   \n",
+       "17    202015          7   1918      675    3161       3           1   \n",
+       "18    202014          7   3879     2227    5531       6           3   \n",
+       "19    202013          7   7326     5236    9416      11           8   \n",
+       "20    202012          7   8123     5790   10456      12           8   \n",
+       "21    202011          7  10198     7568   12828      15          11   \n",
+       "22    202010          7   9011     6691   11331      14          10   \n",
+       "23    202009          7  13631    10544   16718      21          16   \n",
+       "24    202008          7  10424     7708   13140      16          12   \n",
+       "25    202007          7   8959     6574   11344      14          10   \n",
+       "26    202006          7   9264     6925   11603      14          10   \n",
+       "27    202005          7   8505     6314   10696      13          10   \n",
+       "28    202004          7   7991     5831   10151      12           9   \n",
+       "29    202003          7   5968     4100    7836       9           6   \n",
+       "...      ...        ...    ...      ...     ...     ...         ...   \n",
+       "1519  199126          7  17608    11304   23912      31          20   \n",
+       "1520  199125          7  16169    10700   21638      28          18   \n",
+       "1521  199124          7  16171    10071   22271      28          17   \n",
+       "1522  199123          7  11947     7671   16223      21          13   \n",
+       "1523  199122          7  15452     9953   20951      27          17   \n",
+       "1524  199121          7  14903     8975   20831      26          16   \n",
+       "1525  199120          7  19053    12742   25364      34          23   \n",
+       "1526  199119          7  16739    11246   22232      29          19   \n",
+       "1527  199118          7  21385    13882   28888      38          25   \n",
+       "1528  199117          7  13462     8877   18047      24          16   \n",
+       "1529  199116          7  14857    10068   19646      26          18   \n",
+       "1530  199115          7  13975     9781   18169      25          18   \n",
+       "1531  199114          7  12265     7684   16846      22          14   \n",
+       "1532  199113          7   9567     6041   13093      17          11   \n",
+       "1533  199112          7  10864     7331   14397      19          13   \n",
+       "1534  199111          7  15574    11184   19964      27          19   \n",
+       "1535  199110          7  16643    11372   21914      29          20   \n",
+       "1536  199109          7  13741     8780   18702      24          15   \n",
+       "1537  199108          7  13289     8813   17765      23          15   \n",
+       "1538  199107          7  12337     8077   16597      22          15   \n",
+       "1539  199106          7  10877     7013   14741      19          12   \n",
+       "1540  199105          7  10442     6544   14340      18          11   \n",
+       "1541  199104          7   7913     4563   11263      14           8   \n",
+       "1542  199103          7  15387    10484   20290      27          18   \n",
+       "1543  199102          7  16277    11046   21508      29          20   \n",
+       "1544  199101          7  15565    10271   20859      27          18   \n",
+       "1545  199052          7  19375    13295   25455      34          23   \n",
+       "1546  199051          7  19080    13807   24353      34          25   \n",
+       "1547  199050          7  11079     6660   15498      20          12   \n",
+       "1548  199049          7   1143        0    2610       2           0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0             7        FR   France  \n",
+       "1             4        FR   France  \n",
+       "2             4        FR   France  \n",
+       "3             2        FR   France  \n",
+       "4             2        FR   France  \n",
+       "5             2        FR   France  \n",
+       "6             2        FR   France  \n",
+       "7             1        FR   France  \n",
+       "8             2        FR   France  \n",
+       "9             2        FR   France  \n",
+       "10            1        FR   France  \n",
+       "11            2        FR   France  \n",
+       "12            2        FR   France  \n",
+       "13            1        FR   France  \n",
+       "14            2        FR   France  \n",
+       "15            1        FR   France  \n",
+       "16            2        FR   France  \n",
+       "17            5        FR   France  \n",
+       "18            9        FR   France  \n",
+       "19           14        FR   France  \n",
+       "20           16        FR   France  \n",
+       "21           19        FR   France  \n",
+       "22           18        FR   France  \n",
+       "23           26        FR   France  \n",
+       "24           20        FR   France  \n",
+       "25           18        FR   France  \n",
+       "26           18        FR   France  \n",
+       "27           16        FR   France  \n",
+       "28           15        FR   France  \n",
+       "29           12        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1519         42        FR   France  \n",
+       "1520         38        FR   France  \n",
+       "1521         39        FR   France  \n",
+       "1522         29        FR   France  \n",
+       "1523         37        FR   France  \n",
+       "1524         36        FR   France  \n",
+       "1525         45        FR   France  \n",
+       "1526         39        FR   France  \n",
+       "1527         51        FR   France  \n",
+       "1528         32        FR   France  \n",
+       "1529         34        FR   France  \n",
+       "1530         32        FR   France  \n",
+       "1531         30        FR   France  \n",
+       "1532         23        FR   France  \n",
+       "1533         25        FR   France  \n",
+       "1534         35        FR   France  \n",
+       "1535         38        FR   France  \n",
+       "1536         33        FR   France  \n",
+       "1537         31        FR   France  \n",
+       "1538         29        FR   France  \n",
+       "1539         26        FR   France  \n",
+       "1540         25        FR   France  \n",
+       "1541         20        FR   France  \n",
+       "1542         36        FR   France  \n",
+       "1543         38        FR   France  \n",
+       "1544         36        FR   France  \n",
+       "1545         45        FR   France  \n",
+       "1546         43        FR   France  \n",
+       "1547         28        FR   France  \n",
+       "1548          5        FR   France  \n",
+       "\n",
+       "[1549 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data = pd.read_csv(data_local, skiprows=1)\n",
+    "raw_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Ici pas de données manquantes ! :)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Premier aperçu"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6cdedc8eb8>"
+      ]
+     },
+     "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": [
+    "# Fonction précédente de conversion de la date et des numéros de semaine\n",
+    "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",
+    "raw_data['period'] = [convert_week(yw) for yw in raw_data['week']]\n",
+    "\n",
+    "# Ici pas de soucis avec le \"TimeDelta\"\n",
+    "sorted_data = raw_data.set_index('period').sort_index()\n",
+    "sorted_data['inc'].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6cded87630>"
+      ]
+     },
+     "execution_count": 17,
+     "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": [
+    "# Un premier pic en 2003 ?\n",
+    "sorted_data['inc'][-1200:-700].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6cded87e48>"
+      ]
+     },
+     "execution_count": 18,
+     "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": [
+    "# Un second pic en 2016 ?\n",
+    "sorted_data['inc'][-400:].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6cdebf0fd0>"
+      ]
+     },
+     "execution_count": 19,
+     "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": [
+    "Septembre se situe bien dans les \"creux\" des incidences :)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Etude de l'incidence annuelle"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Adaptation du code précédent avec les valeurs de la varicelle, donc au 1er septembre et à partir de 1991 :"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6cdf1420f0>"
+      ]
+     },
+     "execution_count": 20,
+     "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": [
+    "first_september_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n",
+    "    for y in range(1991,sorted_data.index[-1].year)]\n",
+    "\n",
+    "#\n",
+    "year = []\n",
+    "yearly_incidence = []\n",
+    "for week1, week2 in zip(first_september_week[:-1],first_september_week[1:]):\n",
+    "    one_year = sorted_data['inc'][week1:week2-1]\n",
+    "    calc = abs(len(one_year)-52)\n",
+    "    assert calc < 2, \"Erreur d'assertion : \" + str(calc)\n",
+    "    yearly_incidence.append(one_year.sum())\n",
+    "    year.append(week2.year)\n",
+    "\n",
+    "#\n",
+    "yearly_incidence = pd.Series(data=yearly_incidence, index=year)\n",
+    "yearly_incidence.plot(style='*')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Liste triée des incidences, en ordre ascendant (par défaut) :"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "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": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.sort_values.html\n",
+    "yearly_incidence.sort_values()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6cdeb3f860>"
+      ]
+     },
+     "execution_count": 22,
+     "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=30)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Quelle est l'année avec l'épidémie la plus forte ? 2009\n",
+    "\n",
+    "Quelle est l'année avec l'épidémie la plus faible ? 2002"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +1398,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-