diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb
index 0bbbe371b01e359e381e43239412d77bf53fb1fb..83c70d684456f8d705c2ee4c8edc90a4af3cccad 100644
--- a/module3/exo2/exercice.ipynb
+++ b/module3/exo2/exercice.ipynb
@@ -1,5 +1,1363 @@
 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#  Incidence de la varicelle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "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": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_url = \"https://www.sentiweb.fr/datasets/incidence-PAY-7.csv\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Une copie locale  des données est effectuée. Cela permet d'éviter d'éviter les problèmes engendrés par un éventuel changement de l'adresse url ou des données qu'elle contient."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "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": "code",
+   "execution_count": 12,
+   "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>202125</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9205</td>\n",
+       "      <td>5975</td>\n",
+       "      <td>12435</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>1</th>\n",
+       "      <td>202124</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11949</td>\n",
+       "      <td>8832</td>\n",
+       "      <td>15066</td>\n",
+       "      <td>18</td>\n",
+       "      <td>13</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202123</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9116</td>\n",
+       "      <td>6420</td>\n",
+       "      <td>11812</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>3</th>\n",
+       "      <td>202122</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4817</td>\n",
+       "      <td>2752</td>\n",
+       "      <td>6882</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202121</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6092</td>\n",
+       "      <td>3458</td>\n",
+       "      <td>8726</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>5</th>\n",
+       "      <td>202120</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7485</td>\n",
+       "      <td>4601</td>\n",
+       "      <td>10369</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202119</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6654</td>\n",
+       "      <td>4370</td>\n",
+       "      <td>8938</td>\n",
+       "      <td>10</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202118</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3912</td>\n",
+       "      <td>2110</td>\n",
+       "      <td>5714</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>8</th>\n",
+       "      <td>202117</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4686</td>\n",
+       "      <td>2878</td>\n",
+       "      <td>6494</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>202116</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4780</td>\n",
+       "      <td>2891</td>\n",
+       "      <td>6669</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202115</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11215</td>\n",
+       "      <td>7627</td>\n",
+       "      <td>14803</td>\n",
+       "      <td>17</td>\n",
+       "      <td>12</td>\n",
+       "      <td>22</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202114</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11197</td>\n",
+       "      <td>7994</td>\n",
+       "      <td>14400</td>\n",
+       "      <td>17</td>\n",
+       "      <td>12</td>\n",
+       "      <td>22</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202113</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9714</td>\n",
+       "      <td>6289</td>\n",
+       "      <td>13139</td>\n",
+       "      <td>15</td>\n",
+       "      <td>10</td>\n",
+       "      <td>20</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202112</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11520</td>\n",
+       "      <td>8415</td>\n",
+       "      <td>14625</td>\n",
+       "      <td>17</td>\n",
+       "      <td>12</td>\n",
+       "      <td>22</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202111</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9386</td>\n",
+       "      <td>6678</td>\n",
+       "      <td>12094</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>15</th>\n",
+       "      <td>202110</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9056</td>\n",
+       "      <td>6452</td>\n",
+       "      <td>11660</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>16</th>\n",
+       "      <td>202109</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10988</td>\n",
+       "      <td>7938</td>\n",
+       "      <td>14038</td>\n",
+       "      <td>17</td>\n",
+       "      <td>12</td>\n",
+       "      <td>22</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202108</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11281</td>\n",
+       "      <td>8361</td>\n",
+       "      <td>14201</td>\n",
+       "      <td>17</td>\n",
+       "      <td>13</td>\n",
+       "      <td>21</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202107</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13561</td>\n",
+       "      <td>10315</td>\n",
+       "      <td>16807</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>19</th>\n",
+       "      <td>202106</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13401</td>\n",
+       "      <td>9810</td>\n",
+       "      <td>16992</td>\n",
+       "      <td>20</td>\n",
+       "      <td>15</td>\n",
+       "      <td>25</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202105</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12210</td>\n",
+       "      <td>8988</td>\n",
+       "      <td>15432</td>\n",
+       "      <td>18</td>\n",
+       "      <td>13</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202104</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12026</td>\n",
+       "      <td>8826</td>\n",
+       "      <td>15226</td>\n",
+       "      <td>18</td>\n",
+       "      <td>13</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202103</td>\n",
+       "      <td>7</td>\n",
+       "      <td>8913</td>\n",
+       "      <td>6375</td>\n",
+       "      <td>11451</td>\n",
+       "      <td>13</td>\n",
+       "      <td>9</td>\n",
+       "      <td>17</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>202102</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7795</td>\n",
+       "      <td>5430</td>\n",
+       "      <td>10160</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>24</th>\n",
+       "      <td>202101</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10525</td>\n",
+       "      <td>7750</td>\n",
+       "      <td>13300</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>202053</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11978</td>\n",
+       "      <td>8406</td>\n",
+       "      <td>15550</td>\n",
+       "      <td>18</td>\n",
+       "      <td>13</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202052</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12012</td>\n",
+       "      <td>8285</td>\n",
+       "      <td>15739</td>\n",
+       "      <td>18</td>\n",
+       "      <td>12</td>\n",
+       "      <td>24</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202051</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10564</td>\n",
+       "      <td>7574</td>\n",
+       "      <td>13554</td>\n",
+       "      <td>16</td>\n",
+       "      <td>11</td>\n",
+       "      <td>21</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202050</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7063</td>\n",
+       "      <td>4744</td>\n",
+       "      <td>9382</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202049</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5026</td>\n",
+       "      <td>3145</td>\n",
+       "      <td>6907</td>\n",
+       "      <td>8</td>\n",
+       "      <td>5</td>\n",
+       "      <td>11</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>1565</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>1566</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>1567</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>1568</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>1569</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>1570</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>1571</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>1572</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>1573</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>1574</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>1575</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>1576</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>1577</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>1578</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>1579</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>1580</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>1581</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>1582</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>1583</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>1584</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>1585</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>1586</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>1587</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>1588</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>1589</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>1590</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>1591</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>1592</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>1593</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>1594</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>1595 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator    inc  inc_low  inc_up  inc100  inc100_low  \\\n",
+       "0     202125          7   9205     5975   12435      14           9   \n",
+       "1     202124          7  11949     8832   15066      18          13   \n",
+       "2     202123          7   9116     6420   11812      14          10   \n",
+       "3     202122          7   4817     2752    6882       7           4   \n",
+       "4     202121          7   6092     3458    8726       9           5   \n",
+       "5     202120          7   7485     4601   10369      11           7   \n",
+       "6     202119          7   6654     4370    8938      10           7   \n",
+       "7     202118          7   3912     2110    5714       6           3   \n",
+       "8     202117          7   4686     2878    6494       7           4   \n",
+       "9     202116          7   4780     2891    6669       7           4   \n",
+       "10    202115          7  11215     7627   14803      17          12   \n",
+       "11    202114          7  11197     7994   14400      17          12   \n",
+       "12    202113          7   9714     6289   13139      15          10   \n",
+       "13    202112          7  11520     8415   14625      17          12   \n",
+       "14    202111          7   9386     6678   12094      14          10   \n",
+       "15    202110          7   9056     6452   11660      14          10   \n",
+       "16    202109          7  10988     7938   14038      17          12   \n",
+       "17    202108          7  11281     8361   14201      17          13   \n",
+       "18    202107          7  13561    10315   16807      21          16   \n",
+       "19    202106          7  13401     9810   16992      20          15   \n",
+       "20    202105          7  12210     8988   15432      18          13   \n",
+       "21    202104          7  12026     8826   15226      18          13   \n",
+       "22    202103          7   8913     6375   11451      13           9   \n",
+       "23    202102          7   7795     5430   10160      12           8   \n",
+       "24    202101          7  10525     7750   13300      16          12   \n",
+       "25    202053          7  11978     8406   15550      18          13   \n",
+       "26    202052          7  12012     8285   15739      18          12   \n",
+       "27    202051          7  10564     7574   13554      16          11   \n",
+       "28    202050          7   7063     4744    9382      11           7   \n",
+       "29    202049          7   5026     3145    6907       8           5   \n",
+       "...      ...        ...    ...      ...     ...     ...         ...   \n",
+       "1565  199126          7  17608    11304   23912      31          20   \n",
+       "1566  199125          7  16169    10700   21638      28          18   \n",
+       "1567  199124          7  16171    10071   22271      28          17   \n",
+       "1568  199123          7  11947     7671   16223      21          13   \n",
+       "1569  199122          7  15452     9953   20951      27          17   \n",
+       "1570  199121          7  14903     8975   20831      26          16   \n",
+       "1571  199120          7  19053    12742   25364      34          23   \n",
+       "1572  199119          7  16739    11246   22232      29          19   \n",
+       "1573  199118          7  21385    13882   28888      38          25   \n",
+       "1574  199117          7  13462     8877   18047      24          16   \n",
+       "1575  199116          7  14857    10068   19646      26          18   \n",
+       "1576  199115          7  13975     9781   18169      25          18   \n",
+       "1577  199114          7  12265     7684   16846      22          14   \n",
+       "1578  199113          7   9567     6041   13093      17          11   \n",
+       "1579  199112          7  10864     7331   14397      19          13   \n",
+       "1580  199111          7  15574    11184   19964      27          19   \n",
+       "1581  199110          7  16643    11372   21914      29          20   \n",
+       "1582  199109          7  13741     8780   18702      24          15   \n",
+       "1583  199108          7  13289     8813   17765      23          15   \n",
+       "1584  199107          7  12337     8077   16597      22          15   \n",
+       "1585  199106          7  10877     7013   14741      19          12   \n",
+       "1586  199105          7  10442     6544   14340      18          11   \n",
+       "1587  199104          7   7913     4563   11263      14           8   \n",
+       "1588  199103          7  15387    10484   20290      27          18   \n",
+       "1589  199102          7  16277    11046   21508      29          20   \n",
+       "1590  199101          7  15565    10271   20859      27          18   \n",
+       "1591  199052          7  19375    13295   25455      34          23   \n",
+       "1592  199051          7  19080    13807   24353      34          25   \n",
+       "1593  199050          7  11079     6660   15498      20          12   \n",
+       "1594  199049          7   1143        0    2610       2           0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0            19        FR   France  \n",
+       "1            23        FR   France  \n",
+       "2            18        FR   France  \n",
+       "3            10        FR   France  \n",
+       "4            13        FR   France  \n",
+       "5            15        FR   France  \n",
+       "6            13        FR   France  \n",
+       "7             9        FR   France  \n",
+       "8            10        FR   France  \n",
+       "9            10        FR   France  \n",
+       "10           22        FR   France  \n",
+       "11           22        FR   France  \n",
+       "12           20        FR   France  \n",
+       "13           22        FR   France  \n",
+       "14           18        FR   France  \n",
+       "15           18        FR   France  \n",
+       "16           22        FR   France  \n",
+       "17           21        FR   France  \n",
+       "18           26        FR   France  \n",
+       "19           25        FR   France  \n",
+       "20           23        FR   France  \n",
+       "21           23        FR   France  \n",
+       "22           17        FR   France  \n",
+       "23           16        FR   France  \n",
+       "24           20        FR   France  \n",
+       "25           23        FR   France  \n",
+       "26           24        FR   France  \n",
+       "27           21        FR   France  \n",
+       "28           15        FR   France  \n",
+       "29           11        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1565         42        FR   France  \n",
+       "1566         38        FR   France  \n",
+       "1567         39        FR   France  \n",
+       "1568         29        FR   France  \n",
+       "1569         37        FR   France  \n",
+       "1570         36        FR   France  \n",
+       "1571         45        FR   France  \n",
+       "1572         39        FR   France  \n",
+       "1573         51        FR   France  \n",
+       "1574         32        FR   France  \n",
+       "1575         34        FR   France  \n",
+       "1576         32        FR   France  \n",
+       "1577         30        FR   France  \n",
+       "1578         23        FR   France  \n",
+       "1579         25        FR   France  \n",
+       "1580         35        FR   France  \n",
+       "1581         38        FR   France  \n",
+       "1582         33        FR   France  \n",
+       "1583         31        FR   France  \n",
+       "1584         29        FR   France  \n",
+       "1585         26        FR   France  \n",
+       "1586         25        FR   France  \n",
+       "1587         20        FR   France  \n",
+       "1588         36        FR   France  \n",
+       "1589         38        FR   France  \n",
+       "1590         36        FR   France  \n",
+       "1591         45        FR   France  \n",
+       "1592         43        FR   France  \n",
+       "1593         28        FR   France  \n",
+       "1594          5        FR   France  \n",
+       "\n",
+       "[1595 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data = pd.read_csv(data_file, skiprows=1)\n",
+    "raw_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "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": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data[raw_data.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = raw_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Ce jeu de données ne contient pas de semaine sans valeurs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "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": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sorted_data = data.set_index('period').sort_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "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": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8d9d522f28>"
+      ]
+     },
+     "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'].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8d9b3dea90>"
+      ]
+     },
+     "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": [
+    "sorted_data['inc'][-200:].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "first_septembre_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n",
+    "                     for y in range(1991,\n",
+    "                                    sorted_data.index[-1].year)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "year = []\n",
+    "yearly_incidence = []\n",
+    "for week1, week2 in zip(first_septembre_week[:-1],\n",
+    "                        first_septembre_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": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8d9b33ecf8>"
+      ]
+     },
+     "execution_count": 23,
+     "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": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2020    221186\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": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "yearly_incidence.sort_values()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8d9b2c3a20>"
+      ]
+     },
+     "execution_count": 25,
+     "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 +1374,9 @@
    "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 0000000000000000000000000000000000000000..76026d2646f18e3a343dcc36ba6f6fd57c38bed1
--- /dev/null
+++ b/module3/exo2/varicelle.csv
@@ -0,0 +1,1597 @@
+# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[199049,202125],"geo":["PAY","1"],"geo_ref":"insee","indicator":"7","type":"all","conf_int":true,"compact":false}, @date=2021-07-02T16:09:21+02:00
+week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
+202125,7,9205,5975,12435,14,9,19,FR,France
+202124,7,11949,8832,15066,18,13,23,FR,France
+202123,7,9116,6420,11812,14,10,18,FR,France
+202122,7,4817,2752,6882,7,4,10,FR,France
+202121,7,6092,3458,8726,9,5,13,FR,France
+202120,7,7485,4601,10369,11,7,15,FR,France
+202119,7,6654,4370,8938,10,7,13,FR,France
+202118,7,3912,2110,5714,6,3,9,FR,France
+202117,7,4686,2878,6494,7,4,10,FR,France
+202116,7,4780,2891,6669,7,4,10,FR,France
+202115,7,11215,7627,14803,17,12,22,FR,France
+202114,7,11197,7994,14400,17,12,22,FR,France
+202113,7,9714,6289,13139,15,10,20,FR,France
+202112,7,11520,8415,14625,17,12,22,FR,France
+202111,7,9386,6678,12094,14,10,18,FR,France
+202110,7,9056,6452,11660,14,10,18,FR,France
+202109,7,10988,7938,14038,17,12,22,FR,France
+202108,7,11281,8361,14201,17,13,21,FR,France
+202107,7,13561,10315,16807,21,16,26,FR,France
+202106,7,13401,9810,16992,20,15,25,FR,France
+202105,7,12210,8988,15432,18,13,23,FR,France
+202104,7,12026,8826,15226,18,13,23,FR,France
+202103,7,8913,6375,11451,13,9,17,FR,France
+202102,7,7795,5430,10160,12,8,16,FR,France
+202101,7,10525,7750,13300,16,12,20,FR,France
+202053,7,11978,8406,15550,18,13,23,FR,France
+202052,7,12012,8285,15739,18,12,24,FR,France
+202051,7,10564,7574,13554,16,11,21,FR,France
+202050,7,7063,4744,9382,11,7,15,FR,France
+202049,7,5026,3145,6907,8,5,11,FR,France
+202048,7,6683,4312,9054,10,6,14,FR,France
+202047,7,4999,2963,7035,8,5,11,FR,France
+202046,7,3752,1963,5541,6,3,9,FR,France
+202045,7,3696,2016,5376,6,3,9,FR,France
+202044,7,4391,2375,6407,7,4,10,FR,France
+202043,7,4376,2505,6247,7,4,10,FR,France
+202042,7,4000,1979,6021,6,3,9,FR,France
+202041,7,3961,2099,5823,6,3,9,FR,France
+202040,7,2078,675,3481,3,1,5,FR,France
+202039,7,1049,237,1861,2,1,3,FR,France
+202038,7,2251,781,3721,3,1,5,FR,France
+202037,7,1584,405,2763,2,0,4,FR,France
+202036,7,919,100,1738,1,0,2,FR,France
+202035,7,828,0,1694,1,0,2,FR,France
+202034,7,2272,371,4173,3,0,6,FR,France
+202033,7,1284,177,2391,2,0,4,FR,France
+202032,7,2650,689,4611,4,1,7,FR,France
+202031,7,1303,100,2506,2,0,4,FR,France
+202030,7,1385,75,2695,2,0,4,FR,France
+202029,7,841,10,1672,1,0,2,FR,France
+202028,7,728,0,1515,1,0,2,FR,France
+202027,7,986,149,1823,1,0,2,FR,France
+202026,7,694,0,1454,1,0,2,FR,France
+202025,7,228,0,597,0,0,1,FR,France
+202024,7,388,0,959,1,0,2,FR,France
+202023,7,558,1,1115,1,0,2,FR,France
+202022,7,277,0,633,0,0,1,FR,France
+202021,7,602,36,1168,1,0,2,FR,France
+202020,7,824,20,1628,1,0,2,FR,France
+202019,7,310,0,753,0,0,1,FR,France
+202018,7,849,98,1600,1,0,2,FR,France
+202017,7,272,0,658,0,0,1,FR,France
+202016,7,758,78,1438,1,0,2,FR,France
+202015,7,1918,675,3161,3,1,5,FR,France
+202014,7,3879,2227,5531,6,3,9,FR,France
+202013,7,7326,5236,9416,11,8,14,FR,France
+202012,7,8123,5790,10456,12,8,16,FR,France
+202011,7,10198,7568,12828,15,11,19,FR,France
+202010,7,9011,6691,11331,14,10,18,FR,France
+202009,7,13631,10544,16718,21,16,26,FR,France
+202008,7,10424,7708,13140,16,12,20,FR,France
+202007,7,8959,6574,11344,14,10,18,FR,France
+202006,7,9264,6925,11603,14,10,18,FR,France
+202005,7,8505,6314,10696,13,10,16,FR,France
+202004,7,7991,5831,10151,12,9,15,FR,France
+202003,7,5968,4100,7836,9,6,12,FR,France
+202002,7,6534,4530,8538,10,7,13,FR,France
+202001,7,9835,7019,12651,15,11,19,FR,France
+201952,7,7941,5246,10636,12,8,16,FR,France
+201951,7,5823,3675,7971,9,6,12,FR,France
+201950,7,6424,4276,8572,10,7,13,FR,France
+201949,7,6621,4540,8702,10,7,13,FR,France
+201948,7,5542,3383,7701,8,5,11,FR,France
+201947,7,7536,5058,10014,11,7,15,FR,France
+201946,7,2638,1316,3960,4,2,6,FR,France
+201945,7,4492,2615,6369,7,4,10,FR,France
+201944,7,5728,3627,7829,9,6,12,FR,France
+201943,7,4834,2751,6917,7,4,10,FR,France
+201942,7,6279,3989,8569,10,7,13,FR,France
+201941,7,4130,2030,6230,6,3,9,FR,France
+201940,7,4211,2218,6204,6,3,9,FR,France
+201939,7,3137,1310,4964,5,2,8,FR,France
+201938,7,3078,1416,4740,5,2,8,FR,France
+201937,7,970,162,1778,1,0,2,FR,France
+201936,7,1277,263,2291,2,0,4,FR,France
+201935,7,922,0,1857,1,0,2,FR,France
+201934,7,1997,605,3389,3,1,5,FR,France
+201933,7,3279,1103,5455,5,2,8,FR,France
+201932,7,3627,1576,5678,6,3,9,FR,France
+201931,7,7611,4605,10617,12,7,17,FR,France
+201930,7,8875,5629,12121,13,8,18,FR,France
+201929,7,10658,7151,14165,16,11,21,FR,France
+201928,7,11251,7604,14898,17,11,23,FR,France
+201927,7,16602,12349,20855,25,19,31,FR,France
+201926,7,18851,14491,23211,29,22,36,FR,France
+201925,7,18309,13972,22646,28,21,35,FR,France
+201924,7,13382,9659,17105,20,14,26,FR,France
+201923,7,19264,15027,23501,29,23,35,FR,France
+201922,7,16861,12783,20939,26,20,32,FR,France
+201921,7,17572,13140,22004,27,20,34,FR,France
+201920,7,16180,12310,20050,25,19,31,FR,France
+201919,7,16646,12721,20571,25,19,31,FR,France
+201918,7,13803,10159,17447,21,15,27,FR,France
+201917,7,15868,11815,19921,24,18,30,FR,France
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