diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb
index 5855a3c04ba8213995570c2c9540b60d16e64f7e..bf807857920729efb3647bb92d90c6909083d58b 100644
--- a/module3/exo1/analyse-syndrome-grippal.ipynb
+++ b/module3/exo1/analyse-syndrome-grippal.ipynb
@@ -57,9 +57,1002 @@
     "La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To avoid  the loss of the data (due to url link corrupted or modified), we make a local saved of the csv file and will used and load this for the following analyses."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "raw_data = pd.read_csv(data_url, skiprows=1)\n",
+    "raw_data.to_csv('reseau_sentinelles.csv', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "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>202201</td>\n",
+       "      <td>3</td>\n",
+       "      <td>67182</td>\n",
+       "      <td>56533.0</td>\n",
+       "      <td>77831.0</td>\n",
+       "      <td>101</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>117.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202152</td>\n",
+       "      <td>3</td>\n",
+       "      <td>53141</td>\n",
+       "      <td>45865.0</td>\n",
+       "      <td>60417.0</td>\n",
+       "      <td>80</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202151</td>\n",
+       "      <td>3</td>\n",
+       "      <td>41698</td>\n",
+       "      <td>35359.0</td>\n",
+       "      <td>48037.0</td>\n",
+       "      <td>63</td>\n",
+       "      <td>53.0</td>\n",
+       "      <td>73.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202150</td>\n",
+       "      <td>3</td>\n",
+       "      <td>38117</td>\n",
+       "      <td>32497.0</td>\n",
+       "      <td>43737.0</td>\n",
+       "      <td>58</td>\n",
+       "      <td>49.0</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202149</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40168</td>\n",
+       "      <td>34716.0</td>\n",
+       "      <td>45620.0</td>\n",
+       "      <td>61</td>\n",
+       "      <td>53.0</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>202148</td>\n",
+       "      <td>3</td>\n",
+       "      <td>41842</td>\n",
+       "      <td>36364.0</td>\n",
+       "      <td>47320.0</td>\n",
+       "      <td>63</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>71.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202147</td>\n",
+       "      <td>3</td>\n",
+       "      <td>36598</td>\n",
+       "      <td>31338.0</td>\n",
+       "      <td>41858.0</td>\n",
+       "      <td>55</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>63.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202146</td>\n",
+       "      <td>3</td>\n",
+       "      <td>30059</td>\n",
+       "      <td>25302.0</td>\n",
+       "      <td>34816.0</td>\n",
+       "      <td>46</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>53.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202145</td>\n",
+       "      <td>3</td>\n",
+       "      <td>20364</td>\n",
+       "      <td>16564.0</td>\n",
+       "      <td>24164.0</td>\n",
+       "      <td>31</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>202144</td>\n",
+       "      <td>3</td>\n",
+       "      <td>18999</td>\n",
+       "      <td>15042.0</td>\n",
+       "      <td>22956.0</td>\n",
+       "      <td>29</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202143</td>\n",
+       "      <td>3</td>\n",
+       "      <td>27040</td>\n",
+       "      <td>21935.0</td>\n",
+       "      <td>32145.0</td>\n",
+       "      <td>41</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>49.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202142</td>\n",
+       "      <td>3</td>\n",
+       "      <td>28343</td>\n",
+       "      <td>23382.0</td>\n",
+       "      <td>33304.0</td>\n",
+       "      <td>43</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>51.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202141</td>\n",
+       "      <td>3</td>\n",
+       "      <td>25043</td>\n",
+       "      <td>20586.0</td>\n",
+       "      <td>29500.0</td>\n",
+       "      <td>38</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202140</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26286</td>\n",
+       "      <td>21842.0</td>\n",
+       "      <td>30730.0</td>\n",
+       "      <td>40</td>\n",
+       "      <td>33.0</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202139</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22155</td>\n",
+       "      <td>18014.0</td>\n",
+       "      <td>26296.0</td>\n",
+       "      <td>34</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202138</td>\n",
+       "      <td>3</td>\n",
+       "      <td>15614</td>\n",
+       "      <td>12310.0</td>\n",
+       "      <td>18918.0</td>\n",
+       "      <td>24</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202137</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13673</td>\n",
+       "      <td>10404.0</td>\n",
+       "      <td>16942.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202136</td>\n",
+       "      <td>3</td>\n",
+       "      <td>10289</td>\n",
+       "      <td>7505.0</td>\n",
+       "      <td>13073.0</td>\n",
+       "      <td>16</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202135</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12609</td>\n",
+       "      <td>9282.0</td>\n",
+       "      <td>15936.0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>202134</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13015</td>\n",
+       "      <td>9485.0</td>\n",
+       "      <td>16545.0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202133</td>\n",
+       "      <td>3</td>\n",
+       "      <td>10392</td>\n",
+       "      <td>7042.0</td>\n",
+       "      <td>13742.0</td>\n",
+       "      <td>16</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202132</td>\n",
+       "      <td>3</td>\n",
+       "      <td>15586</td>\n",
+       "      <td>11009.0</td>\n",
+       "      <td>20163.0</td>\n",
+       "      <td>24</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202131</td>\n",
+       "      <td>3</td>\n",
+       "      <td>18855</td>\n",
+       "      <td>13664.0</td>\n",
+       "      <td>24046.0</td>\n",
+       "      <td>29</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>202130</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13991</td>\n",
+       "      <td>9695.0</td>\n",
+       "      <td>18287.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>202129</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13626</td>\n",
+       "      <td>9618.0</td>\n",
+       "      <td>17634.0</td>\n",
+       "      <td>21</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202128</td>\n",
+       "      <td>3</td>\n",
+       "      <td>8636</td>\n",
+       "      <td>5430.0</td>\n",
+       "      <td>11842.0</td>\n",
+       "      <td>13</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202127</td>\n",
+       "      <td>3</td>\n",
+       "      <td>10693</td>\n",
+       "      <td>6838.0</td>\n",
+       "      <td>14548.0</td>\n",
+       "      <td>16</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202126</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7086</td>\n",
+       "      <td>4109.0</td>\n",
+       "      <td>10063.0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202125</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7942</td>\n",
+       "      <td>5540.0</td>\n",
+       "      <td>10344.0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202124</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4855</td>\n",
+       "      <td>3011.0</td>\n",
+       "      <td>6699.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>10.0</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>1911</th>\n",
+       "      <td>198521</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26096</td>\n",
+       "      <td>19621.0</td>\n",
+       "      <td>32571.0</td>\n",
+       "      <td>47</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1912</th>\n",
+       "      <td>198520</td>\n",
+       "      <td>3</td>\n",
+       "      <td>27896</td>\n",
+       "      <td>20885.0</td>\n",
+       "      <td>34907.0</td>\n",
+       "      <td>51</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1913</th>\n",
+       "      <td>198519</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43154</td>\n",
+       "      <td>32821.0</td>\n",
+       "      <td>53487.0</td>\n",
+       "      <td>78</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1914</th>\n",
+       "      <td>198518</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40555</td>\n",
+       "      <td>29935.0</td>\n",
+       "      <td>51175.0</td>\n",
+       "      <td>74</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1915</th>\n",
+       "      <td>198517</td>\n",
+       "      <td>3</td>\n",
+       "      <td>34053</td>\n",
+       "      <td>24366.0</td>\n",
+       "      <td>43740.0</td>\n",
+       "      <td>62</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1916</th>\n",
+       "      <td>198516</td>\n",
+       "      <td>3</td>\n",
+       "      <td>50362</td>\n",
+       "      <td>36451.0</td>\n",
+       "      <td>64273.0</td>\n",
+       "      <td>91</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1917</th>\n",
+       "      <td>198515</td>\n",
+       "      <td>3</td>\n",
+       "      <td>63881</td>\n",
+       "      <td>45538.0</td>\n",
+       "      <td>82224.0</td>\n",
+       "      <td>116</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1918</th>\n",
+       "      <td>198514</td>\n",
+       "      <td>3</td>\n",
+       "      <td>134545</td>\n",
+       "      <td>114400.0</td>\n",
+       "      <td>154690.0</td>\n",
+       "      <td>244</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>281.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1919</th>\n",
+       "      <td>198513</td>\n",
+       "      <td>3</td>\n",
+       "      <td>197206</td>\n",
+       "      <td>176080.0</td>\n",
+       "      <td>218332.0</td>\n",
+       "      <td>357</td>\n",
+       "      <td>319.0</td>\n",
+       "      <td>395.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1920</th>\n",
+       "      <td>198512</td>\n",
+       "      <td>3</td>\n",
+       "      <td>245240</td>\n",
+       "      <td>223304.0</td>\n",
+       "      <td>267176.0</td>\n",
+       "      <td>445</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>485.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1921</th>\n",
+       "      <td>198511</td>\n",
+       "      <td>3</td>\n",
+       "      <td>276205</td>\n",
+       "      <td>252399.0</td>\n",
+       "      <td>300011.0</td>\n",
+       "      <td>501</td>\n",
+       "      <td>458.0</td>\n",
+       "      <td>544.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1922</th>\n",
+       "      <td>198510</td>\n",
+       "      <td>3</td>\n",
+       "      <td>353231</td>\n",
+       "      <td>326279.0</td>\n",
+       "      <td>380183.0</td>\n",
+       "      <td>640</td>\n",
+       "      <td>591.0</td>\n",
+       "      <td>689.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1923</th>\n",
+       "      <td>198509</td>\n",
+       "      <td>3</td>\n",
+       "      <td>369895</td>\n",
+       "      <td>341109.0</td>\n",
+       "      <td>398681.0</td>\n",
+       "      <td>670</td>\n",
+       "      <td>618.0</td>\n",
+       "      <td>722.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1924</th>\n",
+       "      <td>198508</td>\n",
+       "      <td>3</td>\n",
+       "      <td>389886</td>\n",
+       "      <td>359529.0</td>\n",
+       "      <td>420243.0</td>\n",
+       "      <td>707</td>\n",
+       "      <td>652.0</td>\n",
+       "      <td>762.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1925</th>\n",
+       "      <td>198507</td>\n",
+       "      <td>3</td>\n",
+       "      <td>471852</td>\n",
+       "      <td>432599.0</td>\n",
+       "      <td>511105.0</td>\n",
+       "      <td>855</td>\n",
+       "      <td>784.0</td>\n",
+       "      <td>926.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1926</th>\n",
+       "      <td>198506</td>\n",
+       "      <td>3</td>\n",
+       "      <td>565825</td>\n",
+       "      <td>518011.0</td>\n",
+       "      <td>613639.0</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>939.0</td>\n",
+       "      <td>1113.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1927</th>\n",
+       "      <td>198505</td>\n",
+       "      <td>3</td>\n",
+       "      <td>637302</td>\n",
+       "      <td>592795.0</td>\n",
+       "      <td>681809.0</td>\n",
+       "      <td>1155</td>\n",
+       "      <td>1074.0</td>\n",
+       "      <td>1236.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1928</th>\n",
+       "      <td>198504</td>\n",
+       "      <td>3</td>\n",
+       "      <td>424937</td>\n",
+       "      <td>390794.0</td>\n",
+       "      <td>459080.0</td>\n",
+       "      <td>770</td>\n",
+       "      <td>708.0</td>\n",
+       "      <td>832.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1929</th>\n",
+       "      <td>198503</td>\n",
+       "      <td>3</td>\n",
+       "      <td>213901</td>\n",
+       "      <td>174689.0</td>\n",
+       "      <td>253113.0</td>\n",
+       "      <td>388</td>\n",
+       "      <td>317.0</td>\n",
+       "      <td>459.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1930</th>\n",
+       "      <td>198502</td>\n",
+       "      <td>3</td>\n",
+       "      <td>97586</td>\n",
+       "      <td>80949.0</td>\n",
+       "      <td>114223.0</td>\n",
+       "      <td>177</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1931</th>\n",
+       "      <td>198501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>85489</td>\n",
+       "      <td>65918.0</td>\n",
+       "      <td>105060.0</td>\n",
+       "      <td>155</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>190.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1932</th>\n",
+       "      <td>198452</td>\n",
+       "      <td>3</td>\n",
+       "      <td>84830</td>\n",
+       "      <td>60602.0</td>\n",
+       "      <td>109058.0</td>\n",
+       "      <td>154</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>198.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1933</th>\n",
+       "      <td>198451</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101726</td>\n",
+       "      <td>80242.0</td>\n",
+       "      <td>123210.0</td>\n",
+       "      <td>185</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>224.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1934</th>\n",
+       "      <td>198450</td>\n",
+       "      <td>3</td>\n",
+       "      <td>123680</td>\n",
+       "      <td>101401.0</td>\n",
+       "      <td>145959.0</td>\n",
+       "      <td>225</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>266.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1935</th>\n",
+       "      <td>198449</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101073</td>\n",
+       "      <td>81684.0</td>\n",
+       "      <td>120462.0</td>\n",
+       "      <td>184</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>219.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1936</th>\n",
+       "      <td>198448</td>\n",
+       "      <td>3</td>\n",
+       "      <td>78620</td>\n",
+       "      <td>60634.0</td>\n",
+       "      <td>96606.0</td>\n",
+       "      <td>143</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>176.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1937</th>\n",
+       "      <td>198447</td>\n",
+       "      <td>3</td>\n",
+       "      <td>72029</td>\n",
+       "      <td>54274.0</td>\n",
+       "      <td>89784.0</td>\n",
+       "      <td>131</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>163.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1938</th>\n",
+       "      <td>198446</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87330</td>\n",
+       "      <td>67686.0</td>\n",
+       "      <td>106974.0</td>\n",
+       "      <td>159</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>195.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1939</th>\n",
+       "      <td>198445</td>\n",
+       "      <td>3</td>\n",
+       "      <td>135223</td>\n",
+       "      <td>101414.0</td>\n",
+       "      <td>169032.0</td>\n",
+       "      <td>246</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>308.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1940</th>\n",
+       "      <td>198444</td>\n",
+       "      <td>3</td>\n",
+       "      <td>68422</td>\n",
+       "      <td>20056.0</td>\n",
+       "      <td>116788.0</td>\n",
+       "      <td>125</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>213.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1941 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up  inc100  inc100_low  \\\n",
+       "0     202201          3   67182   56533.0   77831.0     101        85.0   \n",
+       "1     202152          3   53141   45865.0   60417.0      80        69.0   \n",
+       "2     202151          3   41698   35359.0   48037.0      63        53.0   \n",
+       "3     202150          3   38117   32497.0   43737.0      58        49.0   \n",
+       "4     202149          3   40168   34716.0   45620.0      61        53.0   \n",
+       "5     202148          3   41842   36364.0   47320.0      63        55.0   \n",
+       "6     202147          3   36598   31338.0   41858.0      55        47.0   \n",
+       "7     202146          3   30059   25302.0   34816.0      46        39.0   \n",
+       "8     202145          3   20364   16564.0   24164.0      31        25.0   \n",
+       "9     202144          3   18999   15042.0   22956.0      29        23.0   \n",
+       "10    202143          3   27040   21935.0   32145.0      41        33.0   \n",
+       "11    202142          3   28343   23382.0   33304.0      43        35.0   \n",
+       "12    202141          3   25043   20586.0   29500.0      38        31.0   \n",
+       "13    202140          3   26286   21842.0   30730.0      40        33.0   \n",
+       "14    202139          3   22155   18014.0   26296.0      34        28.0   \n",
+       "15    202138          3   15614   12310.0   18918.0      24        19.0   \n",
+       "16    202137          3   13673   10404.0   16942.0      21        16.0   \n",
+       "17    202136          3   10289    7505.0   13073.0      16        12.0   \n",
+       "18    202135          3   12609    9282.0   15936.0      19        14.0   \n",
+       "19    202134          3   13015    9485.0   16545.0      20        15.0   \n",
+       "20    202133          3   10392    7042.0   13742.0      16        11.0   \n",
+       "21    202132          3   15586   11009.0   20163.0      24        17.0   \n",
+       "22    202131          3   18855   13664.0   24046.0      29        21.0   \n",
+       "23    202130          3   13991    9695.0   18287.0      21        14.0   \n",
+       "24    202129          3   13626    9618.0   17634.0      21        15.0   \n",
+       "25    202128          3    8636    5430.0   11842.0      13         8.0   \n",
+       "26    202127          3   10693    6838.0   14548.0      16        10.0   \n",
+       "27    202126          3    7086    4109.0   10063.0      11         6.0   \n",
+       "28    202125          3    7942    5540.0   10344.0      12         8.0   \n",
+       "29    202124          3    4855    3011.0    6699.0       7         4.0   \n",
+       "...      ...        ...     ...       ...       ...     ...         ...   \n",
+       "1911  198521          3   26096   19621.0   32571.0      47        35.0   \n",
+       "1912  198520          3   27896   20885.0   34907.0      51        38.0   \n",
+       "1913  198519          3   43154   32821.0   53487.0      78        59.0   \n",
+       "1914  198518          3   40555   29935.0   51175.0      74        55.0   \n",
+       "1915  198517          3   34053   24366.0   43740.0      62        44.0   \n",
+       "1916  198516          3   50362   36451.0   64273.0      91        66.0   \n",
+       "1917  198515          3   63881   45538.0   82224.0     116        83.0   \n",
+       "1918  198514          3  134545  114400.0  154690.0     244       207.0   \n",
+       "1919  198513          3  197206  176080.0  218332.0     357       319.0   \n",
+       "1920  198512          3  245240  223304.0  267176.0     445       405.0   \n",
+       "1921  198511          3  276205  252399.0  300011.0     501       458.0   \n",
+       "1922  198510          3  353231  326279.0  380183.0     640       591.0   \n",
+       "1923  198509          3  369895  341109.0  398681.0     670       618.0   \n",
+       "1924  198508          3  389886  359529.0  420243.0     707       652.0   \n",
+       "1925  198507          3  471852  432599.0  511105.0     855       784.0   \n",
+       "1926  198506          3  565825  518011.0  613639.0    1026       939.0   \n",
+       "1927  198505          3  637302  592795.0  681809.0    1155      1074.0   \n",
+       "1928  198504          3  424937  390794.0  459080.0     770       708.0   \n",
+       "1929  198503          3  213901  174689.0  253113.0     388       317.0   \n",
+       "1930  198502          3   97586   80949.0  114223.0     177       147.0   \n",
+       "1931  198501          3   85489   65918.0  105060.0     155       120.0   \n",
+       "1932  198452          3   84830   60602.0  109058.0     154       110.0   \n",
+       "1933  198451          3  101726   80242.0  123210.0     185       146.0   \n",
+       "1934  198450          3  123680  101401.0  145959.0     225       184.0   \n",
+       "1935  198449          3  101073   81684.0  120462.0     184       149.0   \n",
+       "1936  198448          3   78620   60634.0   96606.0     143       110.0   \n",
+       "1937  198447          3   72029   54274.0   89784.0     131        99.0   \n",
+       "1938  198446          3   87330   67686.0  106974.0     159       123.0   \n",
+       "1939  198445          3  135223  101414.0  169032.0     246       184.0   \n",
+       "1940  198444          3   68422   20056.0  116788.0     125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0         117.0        FR   France  \n",
+       "1          91.0        FR   France  \n",
+       "2          73.0        FR   France  \n",
+       "3          67.0        FR   France  \n",
+       "4          69.0        FR   France  \n",
+       "5          71.0        FR   France  \n",
+       "6          63.0        FR   France  \n",
+       "7          53.0        FR   France  \n",
+       "8          37.0        FR   France  \n",
+       "9          35.0        FR   France  \n",
+       "10         49.0        FR   France  \n",
+       "11         51.0        FR   France  \n",
+       "12         45.0        FR   France  \n",
+       "13         47.0        FR   France  \n",
+       "14         40.0        FR   France  \n",
+       "15         29.0        FR   France  \n",
+       "16         26.0        FR   France  \n",
+       "17         20.0        FR   France  \n",
+       "18         24.0        FR   France  \n",
+       "19         25.0        FR   France  \n",
+       "20         21.0        FR   France  \n",
+       "21         31.0        FR   France  \n",
+       "22         37.0        FR   France  \n",
+       "23         28.0        FR   France  \n",
+       "24         27.0        FR   France  \n",
+       "25         18.0        FR   France  \n",
+       "26         22.0        FR   France  \n",
+       "27         16.0        FR   France  \n",
+       "28         16.0        FR   France  \n",
+       "29         10.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1911       59.0        FR   France  \n",
+       "1912       64.0        FR   France  \n",
+       "1913       97.0        FR   France  \n",
+       "1914       93.0        FR   France  \n",
+       "1915       80.0        FR   France  \n",
+       "1916      116.0        FR   France  \n",
+       "1917      149.0        FR   France  \n",
+       "1918      281.0        FR   France  \n",
+       "1919      395.0        FR   France  \n",
+       "1920      485.0        FR   France  \n",
+       "1921      544.0        FR   France  \n",
+       "1922      689.0        FR   France  \n",
+       "1923      722.0        FR   France  \n",
+       "1924      762.0        FR   France  \n",
+       "1925      926.0        FR   France  \n",
+       "1926     1113.0        FR   France  \n",
+       "1927     1236.0        FR   France  \n",
+       "1928      832.0        FR   France  \n",
+       "1929      459.0        FR   France  \n",
+       "1930      207.0        FR   France  \n",
+       "1931      190.0        FR   France  \n",
+       "1932      198.0        FR   France  \n",
+       "1933      224.0        FR   France  \n",
+       "1934      266.0        FR   France  \n",
+       "1935      219.0        FR   France  \n",
+       "1936      176.0        FR   France  \n",
+       "1937      163.0        FR   France  \n",
+       "1938      195.0        FR   France  \n",
+       "1939      308.0        FR   France  \n",
+       "1940      213.0        FR   France  \n",
+       "\n",
+       "[1941 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1024,15 +2017,14 @@
        "[1941 rows x 10 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "raw_data = pd.read_csv(data_url, skiprows=1)\n",
-    "raw_data_copy = raw_data.copy(deep=True)\n",
-    "raw_data_copy"
+    "data = pd.read_csv('reseau_sentinelles.csv')\n",
+    "data"
    ]
   },
   {
@@ -1044,7 +2036,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -1106,13 +2098,13 @@
        "1704        FR   France  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "raw_data_copy[raw_data_copy.isnull().any(axis=1)]"
+    "data[data.isnull().any(axis=1)]"
    ]
   },
   {
@@ -1124,7 +2116,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -2089,13 +3081,13 @@
        "[1940 rows x 10 columns]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "data = raw_data.dropna().copy()\n",
+    "data = data.dropna().copy()\n",
     "data"
    ]
   },
@@ -2119,7 +3111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2149,10 +3141,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 17,
+   "metadata": {},
    "outputs": [],
    "source": [
     "sorted_data = data.set_index('period').sort_index()"
@@ -2176,9 +3166,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n"
+     ]
+    }
+   ],
    "source": [
     "periods = sorted_data.index\n",
     "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
@@ -2196,9 +3194,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4544e20198>"
+      ]
+     },
+     "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()"
    ]
@@ -2212,9 +3233,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4544bacc88>"
+      ]
+     },
+     "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()"
    ]
@@ -2249,10 +3293,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 21,
+   "metadata": {},
    "outputs": [],
    "source": [
     "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
@@ -2271,7 +3313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2295,9 +3337,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4544afe080>"
+      ]
+     },
+     "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='*')"
    ]
@@ -2311,9 +3376,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2021     938731\n",
+       "2014    1600941\n",
+       "1991    1659249\n",
+       "1995    1840410\n",
+       "2020    2053781\n",
+       "2012    2175217\n",
+       "2003    2234584\n",
+       "2019    2254386\n",
+       "2006    2307352\n",
+       "2017    2321583\n",
+       "2001    2529279\n",
+       "1992    2574578\n",
+       "1993    2703886\n",
+       "2018    2705325\n",
+       "1988    2765617\n",
+       "2007    2780164\n",
+       "1987    2855570\n",
+       "2016    2856393\n",
+       "2011    2857040\n",
+       "2008    2973918\n",
+       "1998    3034904\n",
+       "2002    3125418\n",
+       "2009    3444020\n",
+       "1994    3514763\n",
+       "1996    3539413\n",
+       "2004    3567744\n",
+       "1997    3620066\n",
+       "2015    3654892\n",
+       "2000    3826372\n",
+       "2005    3835025\n",
+       "1999    3908112\n",
+       "2010    4111392\n",
+       "2013    4182691\n",
+       "1986    5115251\n",
+       "1990    5235827\n",
+       "1989    5466192\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "yearly_incidence.sort_values()"
    ]
@@ -2328,9 +3440,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f4544c25da0>"
+      ]
+     },
+     "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)"
    ]
diff --git a/module3/exo1/reseau_sentinelles.csv b/module3/exo1/reseau_sentinelles.csv
new file mode 100644
index 0000000000000000000000000000000000000000..46c4e4907426e3ec820d7f5107473a19b90ad5c6
--- /dev/null
+++ b/module3/exo1/reseau_sentinelles.csv
@@ -0,0 +1,1942 @@
+week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
+202201,3,67182,56533.0,77831.0,101,85.0,117.0,FR,France
+202152,3,53141,45865.0,60417.0,80,69.0,91.0,FR,France
+202151,3,41698,35359.0,48037.0,63,53.0,73.0,FR,France
+202150,3,38117,32497.0,43737.0,58,49.0,67.0,FR,France
+202149,3,40168,34716.0,45620.0,61,53.0,69.0,FR,France
+202148,3,41842,36364.0,47320.0,63,55.0,71.0,FR,France
+202147,3,36598,31338.0,41858.0,55,47.0,63.0,FR,France
+202146,3,30059,25302.0,34816.0,46,39.0,53.0,FR,France
+202145,3,20364,16564.0,24164.0,31,25.0,37.0,FR,France
+202144,3,18999,15042.0,22956.0,29,23.0,35.0,FR,France
+202143,3,27040,21935.0,32145.0,41,33.0,49.0,FR,France
+202142,3,28343,23382.0,33304.0,43,35.0,51.0,FR,France
+202141,3,25043,20586.0,29500.0,38,31.0,45.0,FR,France
+202140,3,26286,21842.0,30730.0,40,33.0,47.0,FR,France
+202139,3,22155,18014.0,26296.0,34,28.0,40.0,FR,France
+202138,3,15614,12310.0,18918.0,24,19.0,29.0,FR,France
+202137,3,13673,10404.0,16942.0,21,16.0,26.0,FR,France
+202136,3,10289,7505.0,13073.0,16,12.0,20.0,FR,France
+202135,3,12609,9282.0,15936.0,19,14.0,24.0,FR,France
+202134,3,13015,9485.0,16545.0,20,15.0,25.0,FR,France
+202133,3,10392,7042.0,13742.0,16,11.0,21.0,FR,France
+202132,3,15586,11009.0,20163.0,24,17.0,31.0,FR,France
+202131,3,18855,13664.0,24046.0,29,21.0,37.0,FR,France
+202130,3,13991,9695.0,18287.0,21,14.0,28.0,FR,France
+202129,3,13626,9618.0,17634.0,21,15.0,27.0,FR,France
+202128,3,8636,5430.0,11842.0,13,8.0,18.0,FR,France
+202127,3,10693,6838.0,14548.0,16,10.0,22.0,FR,France
+202126,3,7086,4109.0,10063.0,11,6.0,16.0,FR,France
+202125,3,7942,5540.0,10344.0,12,8.0,16.0,FR,France
+202124,3,4855,3011.0,6699.0,7,4.0,10.0,FR,France
+202123,3,6710,4455.0,8965.0,10,7.0,13.0,FR,France
+202122,3,7879,5495.0,10263.0,12,8.0,16.0,FR,France
+202121,3,7827,5403.0,10251.0,12,8.0,16.0,FR,France
+202120,3,10278,7540.0,13016.0,16,12.0,20.0,FR,France
+202119,3,9539,6860.0,12218.0,14,10.0,18.0,FR,France
+202118,3,12135,9165.0,15105.0,18,14.0,22.0,FR,France
+202117,3,12058,8891.0,15225.0,18,13.0,23.0,FR,France
+202116,3,16505,12735.0,20275.0,25,19.0,31.0,FR,France
+202115,3,19306,15398.0,23214.0,29,23.0,35.0,FR,France
+202114,3,21073,17099.0,25047.0,32,26.0,38.0,FR,France
+202113,3,26413,22094.0,30732.0,40,33.0,47.0,FR,France
+202112,3,30658,25919.0,35397.0,46,39.0,53.0,FR,France
+202111,3,24988,20718.0,29258.0,38,32.0,44.0,FR,France
+202110,3,19539,15951.0,23127.0,30,25.0,35.0,FR,France
+202109,3,17572,13926.0,21218.0,27,21.0,33.0,FR,France
+202108,3,20882,16907.0,24857.0,32,26.0,38.0,FR,France
+202107,3,22393,18303.0,26483.0,34,28.0,40.0,FR,France
+202106,3,23183,19134.0,27232.0,35,29.0,41.0,FR,France
+202105,3,22426,18445.0,26407.0,34,28.0,40.0,FR,France
+202104,3,25804,21491.0,30117.0,39,32.0,46.0,FR,France
+202103,3,21810,17894.0,25726.0,33,27.0,39.0,FR,France
+202102,3,17320,13906.0,20734.0,26,21.0,31.0,FR,France
+202101,3,21799,17778.0,25820.0,33,27.0,39.0,FR,France
+202053,3,21220,16498.0,25942.0,32,25.0,39.0,FR,France
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+202051,3,21619,17370.0,25868.0,33,27.0,39.0,FR,France
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