From c6cd9f5c8bb753f526cbf01bb669efbed7ebeceb Mon Sep 17 00:00:00 2001
From: 29fd5ad8c5e9c9fec81928e2c141eaf9
 <29fd5ad8c5e9c9fec81928e2c141eaf9@app-learninglab.inria.fr>
Date: Mon, 27 Feb 2023 10:12:01 +0000
Subject: [PATCH] no commit message

---
 module3/exo1/analyse-syndrome-grippal.ipynb | 1227 ++++++++++++++++++-
 1 file changed, 1201 insertions(+), 26 deletions(-)

diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb
index 856ed27..d3c4a6b 100644
--- a/module3/exo1/analyse-syndrome-grippal.ipynb
+++ b/module3/exo1/analyse-syndrome-grippal.ipynb
@@ -1048,9 +1048,73 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "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>1762</th>\n",
+       "      <td>198919</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator  inc  inc_low  inc_up  inc100  inc100_low  inc100_up  \\\n",
+       "1762  198919          3    0      NaN     NaN       0         NaN        NaN   \n",
+       "\n",
+       "     geo_insee geo_name  \n",
+       "1762        FR   France  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "raw_data[raw_data.isnull().any(axis=1)]"
    ]
@@ -1064,9 +1128,976 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "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>202307</td>\n",
+       "      <td>3</td>\n",
+       "      <td>110882</td>\n",
+       "      <td>98145.0</td>\n",
+       "      <td>123619.0</td>\n",
+       "      <td>167</td>\n",
+       "      <td>148.0</td>\n",
+       "      <td>186.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202306</td>\n",
+       "      <td>3</td>\n",
+       "      <td>98071</td>\n",
+       "      <td>88232.0</td>\n",
+       "      <td>107910.0</td>\n",
+       "      <td>148</td>\n",
+       "      <td>133.0</td>\n",
+       "      <td>163.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202305</td>\n",
+       "      <td>3</td>\n",
+       "      <td>95469</td>\n",
+       "      <td>86268.0</td>\n",
+       "      <td>104670.0</td>\n",
+       "      <td>144</td>\n",
+       "      <td>130.0</td>\n",
+       "      <td>158.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202304</td>\n",
+       "      <td>3</td>\n",
+       "      <td>74901</td>\n",
+       "      <td>66916.0</td>\n",
+       "      <td>82886.0</td>\n",
+       "      <td>113</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>125.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202303</td>\n",
+       "      <td>3</td>\n",
+       "      <td>69570</td>\n",
+       "      <td>61893.0</td>\n",
+       "      <td>77247.0</td>\n",
+       "      <td>105</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>117.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>202302</td>\n",
+       "      <td>3</td>\n",
+       "      <td>78260</td>\n",
+       "      <td>70090.0</td>\n",
+       "      <td>86430.0</td>\n",
+       "      <td>118</td>\n",
+       "      <td>106.0</td>\n",
+       "      <td>130.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202301</td>\n",
+       "      <td>3</td>\n",
+       "      <td>121773</td>\n",
+       "      <td>111024.0</td>\n",
+       "      <td>132522.0</td>\n",
+       "      <td>183</td>\n",
+       "      <td>167.0</td>\n",
+       "      <td>199.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202252</td>\n",
+       "      <td>3</td>\n",
+       "      <td>155383</td>\n",
+       "      <td>142015.0</td>\n",
+       "      <td>168751.0</td>\n",
+       "      <td>234</td>\n",
+       "      <td>214.0</td>\n",
+       "      <td>254.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202251</td>\n",
+       "      <td>3</td>\n",
+       "      <td>248311</td>\n",
+       "      <td>232120.0</td>\n",
+       "      <td>264502.0</td>\n",
+       "      <td>374</td>\n",
+       "      <td>350.0</td>\n",
+       "      <td>398.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>202250</td>\n",
+       "      <td>3</td>\n",
+       "      <td>234279</td>\n",
+       "      <td>219533.0</td>\n",
+       "      <td>249025.0</td>\n",
+       "      <td>353</td>\n",
+       "      <td>331.0</td>\n",
+       "      <td>375.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202249</td>\n",
+       "      <td>3</td>\n",
+       "      <td>163421</td>\n",
+       "      <td>151727.0</td>\n",
+       "      <td>175115.0</td>\n",
+       "      <td>246</td>\n",
+       "      <td>228.0</td>\n",
+       "      <td>264.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202248</td>\n",
+       "      <td>3</td>\n",
+       "      <td>121884</td>\n",
+       "      <td>111932.0</td>\n",
+       "      <td>131836.0</td>\n",
+       "      <td>184</td>\n",
+       "      <td>169.0</td>\n",
+       "      <td>199.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202247</td>\n",
+       "      <td>3</td>\n",
+       "      <td>96447</td>\n",
+       "      <td>87259.0</td>\n",
+       "      <td>105635.0</td>\n",
+       "      <td>145</td>\n",
+       "      <td>131.0</td>\n",
+       "      <td>159.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202246</td>\n",
+       "      <td>3</td>\n",
+       "      <td>67735</td>\n",
+       "      <td>60075.0</td>\n",
+       "      <td>75395.0</td>\n",
+       "      <td>102</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>114.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202245</td>\n",
+       "      <td>3</td>\n",
+       "      <td>45306</td>\n",
+       "      <td>38909.0</td>\n",
+       "      <td>51703.0</td>\n",
+       "      <td>68</td>\n",
+       "      <td>58.0</td>\n",
+       "      <td>78.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202244</td>\n",
+       "      <td>3</td>\n",
+       "      <td>34713</td>\n",
+       "      <td>28880.0</td>\n",
+       "      <td>40546.0</td>\n",
+       "      <td>52</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202243</td>\n",
+       "      <td>3</td>\n",
+       "      <td>44769</td>\n",
+       "      <td>36884.0</td>\n",
+       "      <td>52654.0</td>\n",
+       "      <td>68</td>\n",
+       "      <td>56.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202242</td>\n",
+       "      <td>3</td>\n",
+       "      <td>47462</td>\n",
+       "      <td>40773.0</td>\n",
+       "      <td>54151.0</td>\n",
+       "      <td>72</td>\n",
+       "      <td>62.0</td>\n",
+       "      <td>82.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202241</td>\n",
+       "      <td>3</td>\n",
+       "      <td>48583</td>\n",
+       "      <td>42388.0</td>\n",
+       "      <td>54778.0</td>\n",
+       "      <td>73</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>82.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>202240</td>\n",
+       "      <td>3</td>\n",
+       "      <td>41927</td>\n",
+       "      <td>36115.0</td>\n",
+       "      <td>47739.0</td>\n",
+       "      <td>63</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202239</td>\n",
+       "      <td>3</td>\n",
+       "      <td>39902</td>\n",
+       "      <td>34168.0</td>\n",
+       "      <td>45636.0</td>\n",
+       "      <td>60</td>\n",
+       "      <td>51.0</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202238</td>\n",
+       "      <td>3</td>\n",
+       "      <td>28781</td>\n",
+       "      <td>23733.0</td>\n",
+       "      <td>33829.0</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>22</th>\n",
+       "      <td>202237</td>\n",
+       "      <td>3</td>\n",
+       "      <td>21395</td>\n",
+       "      <td>17076.0</td>\n",
+       "      <td>25714.0</td>\n",
+       "      <td>32</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>202236</td>\n",
+       "      <td>3</td>\n",
+       "      <td>14120</td>\n",
+       "      <td>10487.0</td>\n",
+       "      <td>17753.0</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>24</th>\n",
+       "      <td>202235</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9283</td>\n",
+       "      <td>6485.0</td>\n",
+       "      <td>12081.0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202234</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7498</td>\n",
+       "      <td>4731.0</td>\n",
+       "      <td>10265.0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202233</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7586</td>\n",
+       "      <td>4442.0</td>\n",
+       "      <td>10730.0</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>27</th>\n",
+       "      <td>202232</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12222</td>\n",
+       "      <td>7749.0</td>\n",
+       "      <td>16695.0</td>\n",
+       "      <td>18</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202231</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13257</td>\n",
+       "      <td>8905.0</td>\n",
+       "      <td>17609.0</td>\n",
+       "      <td>20</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202230</td>\n",
+       "      <td>3</td>\n",
+       "      <td>15006</td>\n",
+       "      <td>10738.0</td>\n",
+       "      <td>19274.0</td>\n",
+       "      <td>23</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>29.0</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>1969</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>1970</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>1971</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>1972</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>1973</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>1974</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>1975</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>1976</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>1977</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>1978</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>1979</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>1980</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>1981</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>1982</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>1983</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>1984</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>1985</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>1986</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>1987</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>1988</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>1989</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>1990</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>1991</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>1992</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>1993</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>1994</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>1995</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>1996</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>1997</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>1998</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>1998 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up  inc100  inc100_low  \\\n",
+       "0     202307          3  110882   98145.0  123619.0     167       148.0   \n",
+       "1     202306          3   98071   88232.0  107910.0     148       133.0   \n",
+       "2     202305          3   95469   86268.0  104670.0     144       130.0   \n",
+       "3     202304          3   74901   66916.0   82886.0     113       101.0   \n",
+       "4     202303          3   69570   61893.0   77247.0     105        93.0   \n",
+       "5     202302          3   78260   70090.0   86430.0     118       106.0   \n",
+       "6     202301          3  121773  111024.0  132522.0     183       167.0   \n",
+       "7     202252          3  155383  142015.0  168751.0     234       214.0   \n",
+       "8     202251          3  248311  232120.0  264502.0     374       350.0   \n",
+       "9     202250          3  234279  219533.0  249025.0     353       331.0   \n",
+       "10    202249          3  163421  151727.0  175115.0     246       228.0   \n",
+       "11    202248          3  121884  111932.0  131836.0     184       169.0   \n",
+       "12    202247          3   96447   87259.0  105635.0     145       131.0   \n",
+       "13    202246          3   67735   60075.0   75395.0     102        90.0   \n",
+       "14    202245          3   45306   38909.0   51703.0      68        58.0   \n",
+       "15    202244          3   34713   28880.0   40546.0      52        43.0   \n",
+       "16    202243          3   44769   36884.0   52654.0      68        56.0   \n",
+       "17    202242          3   47462   40773.0   54151.0      72        62.0   \n",
+       "18    202241          3   48583   42388.0   54778.0      73        64.0   \n",
+       "19    202240          3   41927   36115.0   47739.0      63        54.0   \n",
+       "20    202239          3   39902   34168.0   45636.0      60        51.0   \n",
+       "21    202238          3   28781   23733.0   33829.0      43        35.0   \n",
+       "22    202237          3   21395   17076.0   25714.0      32        25.0   \n",
+       "23    202236          3   14120   10487.0   17753.0      21        16.0   \n",
+       "24    202235          3    9283    6485.0   12081.0      14        10.0   \n",
+       "25    202234          3    7498    4731.0   10265.0      11         7.0   \n",
+       "26    202233          3    7586    4442.0   10730.0      11         6.0   \n",
+       "27    202232          3   12222    7749.0   16695.0      18        11.0   \n",
+       "28    202231          3   13257    8905.0   17609.0      20        13.0   \n",
+       "29    202230          3   15006   10738.0   19274.0      23        17.0   \n",
+       "...      ...        ...     ...       ...       ...     ...         ...   \n",
+       "1969  198521          3   26096   19621.0   32571.0      47        35.0   \n",
+       "1970  198520          3   27896   20885.0   34907.0      51        38.0   \n",
+       "1971  198519          3   43154   32821.0   53487.0      78        59.0   \n",
+       "1972  198518          3   40555   29935.0   51175.0      74        55.0   \n",
+       "1973  198517          3   34053   24366.0   43740.0      62        44.0   \n",
+       "1974  198516          3   50362   36451.0   64273.0      91        66.0   \n",
+       "1975  198515          3   63881   45538.0   82224.0     116        83.0   \n",
+       "1976  198514          3  134545  114400.0  154690.0     244       207.0   \n",
+       "1977  198513          3  197206  176080.0  218332.0     357       319.0   \n",
+       "1978  198512          3  245240  223304.0  267176.0     445       405.0   \n",
+       "1979  198511          3  276205  252399.0  300011.0     501       458.0   \n",
+       "1980  198510          3  353231  326279.0  380183.0     640       591.0   \n",
+       "1981  198509          3  369895  341109.0  398681.0     670       618.0   \n",
+       "1982  198508          3  389886  359529.0  420243.0     707       652.0   \n",
+       "1983  198507          3  471852  432599.0  511105.0     855       784.0   \n",
+       "1984  198506          3  565825  518011.0  613639.0    1026       939.0   \n",
+       "1985  198505          3  637302  592795.0  681809.0    1155      1074.0   \n",
+       "1986  198504          3  424937  390794.0  459080.0     770       708.0   \n",
+       "1987  198503          3  213901  174689.0  253113.0     388       317.0   \n",
+       "1988  198502          3   97586   80949.0  114223.0     177       147.0   \n",
+       "1989  198501          3   85489   65918.0  105060.0     155       120.0   \n",
+       "1990  198452          3   84830   60602.0  109058.0     154       110.0   \n",
+       "1991  198451          3  101726   80242.0  123210.0     185       146.0   \n",
+       "1992  198450          3  123680  101401.0  145959.0     225       184.0   \n",
+       "1993  198449          3  101073   81684.0  120462.0     184       149.0   \n",
+       "1994  198448          3   78620   60634.0   96606.0     143       110.0   \n",
+       "1995  198447          3   72029   54274.0   89784.0     131        99.0   \n",
+       "1996  198446          3   87330   67686.0  106974.0     159       123.0   \n",
+       "1997  198445          3  135223  101414.0  169032.0     246       184.0   \n",
+       "1998  198444          3   68422   20056.0  116788.0     125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0         186.0        FR   France  \n",
+       "1         163.0        FR   France  \n",
+       "2         158.0        FR   France  \n",
+       "3         125.0        FR   France  \n",
+       "4         117.0        FR   France  \n",
+       "5         130.0        FR   France  \n",
+       "6         199.0        FR   France  \n",
+       "7         254.0        FR   France  \n",
+       "8         398.0        FR   France  \n",
+       "9         375.0        FR   France  \n",
+       "10        264.0        FR   France  \n",
+       "11        199.0        FR   France  \n",
+       "12        159.0        FR   France  \n",
+       "13        114.0        FR   France  \n",
+       "14         78.0        FR   France  \n",
+       "15         61.0        FR   France  \n",
+       "16         80.0        FR   France  \n",
+       "17         82.0        FR   France  \n",
+       "18         82.0        FR   France  \n",
+       "19         72.0        FR   France  \n",
+       "20         69.0        FR   France  \n",
+       "21         51.0        FR   France  \n",
+       "22         39.0        FR   France  \n",
+       "23         26.0        FR   France  \n",
+       "24         18.0        FR   France  \n",
+       "25         15.0        FR   France  \n",
+       "26         16.0        FR   France  \n",
+       "27         25.0        FR   France  \n",
+       "28         27.0        FR   France  \n",
+       "29         29.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1969       59.0        FR   France  \n",
+       "1970       64.0        FR   France  \n",
+       "1971       97.0        FR   France  \n",
+       "1972       93.0        FR   France  \n",
+       "1973       80.0        FR   France  \n",
+       "1974      116.0        FR   France  \n",
+       "1975      149.0        FR   France  \n",
+       "1976      281.0        FR   France  \n",
+       "1977      395.0        FR   France  \n",
+       "1978      485.0        FR   France  \n",
+       "1979      544.0        FR   France  \n",
+       "1980      689.0        FR   France  \n",
+       "1981      722.0        FR   France  \n",
+       "1982      762.0        FR   France  \n",
+       "1983      926.0        FR   France  \n",
+       "1984     1113.0        FR   France  \n",
+       "1985     1236.0        FR   France  \n",
+       "1986      832.0        FR   France  \n",
+       "1987      459.0        FR   France  \n",
+       "1988      207.0        FR   France  \n",
+       "1989      190.0        FR   France  \n",
+       "1990      198.0        FR   France  \n",
+       "1991      224.0        FR   France  \n",
+       "1992      266.0        FR   France  \n",
+       "1993      219.0        FR   France  \n",
+       "1994      176.0        FR   France  \n",
+       "1995      163.0        FR   France  \n",
+       "1996      195.0        FR   France  \n",
+       "1997      308.0        FR   France  \n",
+       "1998      213.0        FR   France  \n",
+       "\n",
+       "[1998 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "data = raw_data.dropna().copy()\n",
     "data"
@@ -1092,7 +2123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1122,10 +2153,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [],
    "source": [
     "sorted_data = data.set_index('period').sort_index()"
@@ -1149,9 +2178,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "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",
@@ -1169,9 +2206,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb20c2b32e8>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "sorted_data['inc'].plot()"
    ]
@@ -1185,9 +2245,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb20a104c50>"
+      ]
+     },
+     "execution_count": 15,
+     "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()"
    ]
@@ -1222,10 +2305,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 16,
+   "metadata": {},
    "outputs": [],
    "source": [
     "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
@@ -1244,7 +2325,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1268,9 +2349,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb2406ee358>"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "yearly_incidence.plot(style='*')"
    ]
@@ -1284,9 +2388,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2021     743449\n",
+       "2014    1600941\n",
+       "1991    1659249\n",
+       "1995    1840410\n",
+       "2020    2010315\n",
+       "2022    2060360\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": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "yearly_incidence.sort_values()"
    ]
@@ -1301,9 +2453,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb20a0687b8>"
+      ]
+     },
+     "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": [
     "yearly_incidence.hist(xrot=20)"
    ]
-- 
2.18.1