From 4f60ae64c694e2d4ba37a589930324d65f45b19c Mon Sep 17 00:00:00 2001
From: 0aade9bda4da2e2df33798a7f001f704
 <0aade9bda4da2e2df33798a7f001f704@app-learninglab.inria.fr>
Date: Wed, 30 Sep 2020 10:42:53 +0000
Subject: [PATCH] Module 3 exo 1 reworked

---
 module3/exo1/analyse-syndrome-grippal.ipynb | 2346 +------------------
 1 file changed, 46 insertions(+), 2300 deletions(-)

diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb
index f524120..9b219e7 100644
--- a/module3/exo1/analyse-syndrome-grippal.ipynb
+++ b/module3/exo1/analyse-syndrome-grippal.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -29,13 +29,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Afin d'éviter toute perte de données en cas de modification du site d'origine, on copie les données dans un ficher local. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "local = 'local_data.csv'\n",
+    "\n",
+    "import os.path\n",
+    "import urllib.request as ureq\n",
+    "if not os.path.exists(local):\n",
+    "    ureq.urlretrieveeve(data_url,local)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -60,1046 +81,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "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>Unnamed: 0</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>0</td>\n",
-       "      <td>202038</td>\n",
-       "      <td>3</td>\n",
-       "      <td>25578</td>\n",
-       "      <td>21135.0</td>\n",
-       "      <td>30021.0</td>\n",
-       "      <td>39</td>\n",
-       "      <td>32.0</td>\n",
-       "      <td>46.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>202037</td>\n",
-       "      <td>3</td>\n",
-       "      <td>18485</td>\n",
-       "      <td>14649.0</td>\n",
-       "      <td>22321.0</td>\n",
-       "      <td>28</td>\n",
-       "      <td>22.0</td>\n",
-       "      <td>34.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>202036</td>\n",
-       "      <td>3</td>\n",
-       "      <td>10390</td>\n",
-       "      <td>7646.0</td>\n",
-       "      <td>13134.0</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>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>202035</td>\n",
-       "      <td>3</td>\n",
-       "      <td>9918</td>\n",
-       "      <td>6842.0</td>\n",
-       "      <td>12994.0</td>\n",
-       "      <td>15</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>202034</td>\n",
-       "      <td>3</td>\n",
-       "      <td>6084</td>\n",
-       "      <td>3090.0</td>\n",
-       "      <td>9078.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>5</td>\n",
-       "      <td>202033</td>\n",
-       "      <td>3</td>\n",
-       "      <td>6106</td>\n",
-       "      <td>3411.0</td>\n",
-       "      <td>8801.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>6</td>\n",
-       "      <td>202032</td>\n",
-       "      <td>3</td>\n",
-       "      <td>5918</td>\n",
-       "      <td>3330.0</td>\n",
-       "      <td>8506.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>7</td>\n",
-       "      <td>202031</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4351</td>\n",
-       "      <td>2269.0</td>\n",
-       "      <td>6433.0</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>8</th>\n",
-       "      <td>8</td>\n",
-       "      <td>202030</td>\n",
-       "      <td>3</td>\n",
-       "      <td>8179</td>\n",
-       "      <td>5442.0</td>\n",
-       "      <td>10916.0</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>9</th>\n",
-       "      <td>9</td>\n",
-       "      <td>202029</td>\n",
-       "      <td>3</td>\n",
-       "      <td>8687</td>\n",
-       "      <td>5860.0</td>\n",
-       "      <td>11514.0</td>\n",
-       "      <td>13</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>10</td>\n",
-       "      <td>202028</td>\n",
-       "      <td>3</td>\n",
-       "      <td>8340</td>\n",
-       "      <td>5701.0</td>\n",
-       "      <td>10979.0</td>\n",
-       "      <td>13</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>11</td>\n",
-       "      <td>202027</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4066</td>\n",
-       "      <td>2406.0</td>\n",
-       "      <td>5726.0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>12</td>\n",
-       "      <td>202026</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4039</td>\n",
-       "      <td>2389.0</td>\n",
-       "      <td>5689.0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>13</td>\n",
-       "      <td>202025</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2853</td>\n",
-       "      <td>1488.0</td>\n",
-       "      <td>4218.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>14</td>\n",
-       "      <td>202024</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3058</td>\n",
-       "      <td>1690.0</td>\n",
-       "      <td>4426.0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>15</td>\n",
-       "      <td>202023</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4168</td>\n",
-       "      <td>2468.0</td>\n",
-       "      <td>5868.0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>16</td>\n",
-       "      <td>202022</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3580</td>\n",
-       "      <td>1947.0</td>\n",
-       "      <td>5213.0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>17</td>\n",
-       "      <td>202021</td>\n",
-       "      <td>3</td>\n",
-       "      <td>6114</td>\n",
-       "      <td>4026.0</td>\n",
-       "      <td>8202.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>18</td>\n",
-       "      <td>202020</td>\n",
-       "      <td>3</td>\n",
-       "      <td>9315</td>\n",
-       "      <td>6775.0</td>\n",
-       "      <td>11855.0</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>19</th>\n",
-       "      <td>19</td>\n",
-       "      <td>202019</td>\n",
-       "      <td>3</td>\n",
-       "      <td>11679</td>\n",
-       "      <td>8722.0</td>\n",
-       "      <td>14636.0</td>\n",
-       "      <td>18</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>22.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>20</td>\n",
-       "      <td>202018</td>\n",
-       "      <td>3</td>\n",
-       "      <td>16398</td>\n",
-       "      <td>12851.0</td>\n",
-       "      <td>19945.0</td>\n",
-       "      <td>25</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>21</td>\n",
-       "      <td>202017</td>\n",
-       "      <td>3</td>\n",
-       "      <td>18082</td>\n",
-       "      <td>14454.0</td>\n",
-       "      <td>21710.0</td>\n",
-       "      <td>27</td>\n",
-       "      <td>21.0</td>\n",
-       "      <td>33.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>22</td>\n",
-       "      <td>202016</td>\n",
-       "      <td>3</td>\n",
-       "      <td>24165</td>\n",
-       "      <td>19893.0</td>\n",
-       "      <td>28437.0</td>\n",
-       "      <td>37</td>\n",
-       "      <td>31.0</td>\n",
-       "      <td>43.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>23</td>\n",
-       "      <td>202015</td>\n",
-       "      <td>3</td>\n",
-       "      <td>41049</td>\n",
-       "      <td>35377.0</td>\n",
-       "      <td>46721.0</td>\n",
-       "      <td>62</td>\n",
-       "      <td>53.0</td>\n",
-       "      <td>71.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>24</td>\n",
-       "      <td>202014</td>\n",
-       "      <td>3</td>\n",
-       "      <td>71666</td>\n",
-       "      <td>64531.0</td>\n",
-       "      <td>78801.0</td>\n",
-       "      <td>109</td>\n",
-       "      <td>98.0</td>\n",
-       "      <td>120.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>25</td>\n",
-       "      <td>202013</td>\n",
-       "      <td>3</td>\n",
-       "      <td>107742</td>\n",
-       "      <td>99187.0</td>\n",
-       "      <td>116297.0</td>\n",
-       "      <td>164</td>\n",
-       "      <td>151.0</td>\n",
-       "      <td>177.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>26</td>\n",
-       "      <td>202012</td>\n",
-       "      <td>3</td>\n",
-       "      <td>107283</td>\n",
-       "      <td>98610.0</td>\n",
-       "      <td>115956.0</td>\n",
-       "      <td>163</td>\n",
-       "      <td>150.0</td>\n",
-       "      <td>176.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>27</td>\n",
-       "      <td>202011</td>\n",
-       "      <td>3</td>\n",
-       "      <td>101704</td>\n",
-       "      <td>93652.0</td>\n",
-       "      <td>109756.0</td>\n",
-       "      <td>154</td>\n",
-       "      <td>142.0</td>\n",
-       "      <td>166.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>28</td>\n",
-       "      <td>202010</td>\n",
-       "      <td>3</td>\n",
-       "      <td>104977</td>\n",
-       "      <td>96650.0</td>\n",
-       "      <td>113304.0</td>\n",
-       "      <td>159</td>\n",
-       "      <td>146.0</td>\n",
-       "      <td>172.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>29</td>\n",
-       "      <td>202009</td>\n",
-       "      <td>3</td>\n",
-       "      <td>110696</td>\n",
-       "      <td>102066.0</td>\n",
-       "      <td>119326.0</td>\n",
-       "      <td>168</td>\n",
-       "      <td>155.0</td>\n",
-       "      <td>181.0</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",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1843</th>\n",
-       "      <td>1843</td>\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>1844</th>\n",
-       "      <td>1844</td>\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>1845</th>\n",
-       "      <td>1845</td>\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>1846</th>\n",
-       "      <td>1846</td>\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>1847</th>\n",
-       "      <td>1847</td>\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>1848</th>\n",
-       "      <td>1848</td>\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>1849</th>\n",
-       "      <td>1849</td>\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>1850</th>\n",
-       "      <td>1850</td>\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>1851</th>\n",
-       "      <td>1851</td>\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>1852</th>\n",
-       "      <td>1852</td>\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>1853</th>\n",
-       "      <td>1853</td>\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>1854</th>\n",
-       "      <td>1854</td>\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>1855</th>\n",
-       "      <td>1855</td>\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>1856</th>\n",
-       "      <td>1856</td>\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>1857</th>\n",
-       "      <td>1857</td>\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>1858</th>\n",
-       "      <td>1858</td>\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>1859</th>\n",
-       "      <td>1859</td>\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>1860</th>\n",
-       "      <td>1860</td>\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>1861</th>\n",
-       "      <td>1861</td>\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>1862</th>\n",
-       "      <td>1862</td>\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>1863</th>\n",
-       "      <td>1863</td>\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>1864</th>\n",
-       "      <td>1864</td>\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>1865</th>\n",
-       "      <td>1865</td>\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>1866</th>\n",
-       "      <td>1866</td>\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>1867</th>\n",
-       "      <td>1867</td>\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>1868</th>\n",
-       "      <td>1868</td>\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>1869</th>\n",
-       "      <td>1869</td>\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>1870</th>\n",
-       "      <td>1870</td>\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>1871</th>\n",
-       "      <td>1871</td>\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>1872</th>\n",
-       "      <td>1872</td>\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>1873 rows × 11 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Unnamed: 0    week  indicator     inc   inc_low    inc_up  inc100  \\\n",
-       "0              0  202038          3   25578   21135.0   30021.0      39   \n",
-       "1              1  202037          3   18485   14649.0   22321.0      28   \n",
-       "2              2  202036          3   10390    7646.0   13134.0      16   \n",
-       "3              3  202035          3    9918    6842.0   12994.0      15   \n",
-       "4              4  202034          3    6084    3090.0    9078.0       9   \n",
-       "5              5  202033          3    6106    3411.0    8801.0       9   \n",
-       "6              6  202032          3    5918    3330.0    8506.0       9   \n",
-       "7              7  202031          3    4351    2269.0    6433.0       7   \n",
-       "8              8  202030          3    8179    5442.0   10916.0      12   \n",
-       "9              9  202029          3    8687    5860.0   11514.0      13   \n",
-       "10            10  202028          3    8340    5701.0   10979.0      13   \n",
-       "11            11  202027          3    4066    2406.0    5726.0       6   \n",
-       "12            12  202026          3    4039    2389.0    5689.0       6   \n",
-       "13            13  202025          3    2853    1488.0    4218.0       4   \n",
-       "14            14  202024          3    3058    1690.0    4426.0       5   \n",
-       "15            15  202023          3    4168    2468.0    5868.0       6   \n",
-       "16            16  202022          3    3580    1947.0    5213.0       5   \n",
-       "17            17  202021          3    6114    4026.0    8202.0       9   \n",
-       "18            18  202020          3    9315    6775.0   11855.0      14   \n",
-       "19            19  202019          3   11679    8722.0   14636.0      18   \n",
-       "20            20  202018          3   16398   12851.0   19945.0      25   \n",
-       "21            21  202017          3   18082   14454.0   21710.0      27   \n",
-       "22            22  202016          3   24165   19893.0   28437.0      37   \n",
-       "23            23  202015          3   41049   35377.0   46721.0      62   \n",
-       "24            24  202014          3   71666   64531.0   78801.0     109   \n",
-       "25            25  202013          3  107742   99187.0  116297.0     164   \n",
-       "26            26  202012          3  107283   98610.0  115956.0     163   \n",
-       "27            27  202011          3  101704   93652.0  109756.0     154   \n",
-       "28            28  202010          3  104977   96650.0  113304.0     159   \n",
-       "29            29  202009          3  110696  102066.0  119326.0     168   \n",
-       "...          ...     ...        ...     ...       ...       ...     ...   \n",
-       "1843        1843  198521          3   26096   19621.0   32571.0      47   \n",
-       "1844        1844  198520          3   27896   20885.0   34907.0      51   \n",
-       "1845        1845  198519          3   43154   32821.0   53487.0      78   \n",
-       "1846        1846  198518          3   40555   29935.0   51175.0      74   \n",
-       "1847        1847  198517          3   34053   24366.0   43740.0      62   \n",
-       "1848        1848  198516          3   50362   36451.0   64273.0      91   \n",
-       "1849        1849  198515          3   63881   45538.0   82224.0     116   \n",
-       "1850        1850  198514          3  134545  114400.0  154690.0     244   \n",
-       "1851        1851  198513          3  197206  176080.0  218332.0     357   \n",
-       "1852        1852  198512          3  245240  223304.0  267176.0     445   \n",
-       "1853        1853  198511          3  276205  252399.0  300011.0     501   \n",
-       "1854        1854  198510          3  353231  326279.0  380183.0     640   \n",
-       "1855        1855  198509          3  369895  341109.0  398681.0     670   \n",
-       "1856        1856  198508          3  389886  359529.0  420243.0     707   \n",
-       "1857        1857  198507          3  471852  432599.0  511105.0     855   \n",
-       "1858        1858  198506          3  565825  518011.0  613639.0    1026   \n",
-       "1859        1859  198505          3  637302  592795.0  681809.0    1155   \n",
-       "1860        1860  198504          3  424937  390794.0  459080.0     770   \n",
-       "1861        1861  198503          3  213901  174689.0  253113.0     388   \n",
-       "1862        1862  198502          3   97586   80949.0  114223.0     177   \n",
-       "1863        1863  198501          3   85489   65918.0  105060.0     155   \n",
-       "1864        1864  198452          3   84830   60602.0  109058.0     154   \n",
-       "1865        1865  198451          3  101726   80242.0  123210.0     185   \n",
-       "1866        1866  198450          3  123680  101401.0  145959.0     225   \n",
-       "1867        1867  198449          3  101073   81684.0  120462.0     184   \n",
-       "1868        1868  198448          3   78620   60634.0   96606.0     143   \n",
-       "1869        1869  198447          3   72029   54274.0   89784.0     131   \n",
-       "1870        1870  198446          3   87330   67686.0  106974.0     159   \n",
-       "1871        1871  198445          3  135223  101414.0  169032.0     246   \n",
-       "1872        1872  198444          3   68422   20056.0  116788.0     125   \n",
-       "\n",
-       "      inc100_low  inc100_up geo_insee geo_name  \n",
-       "0           32.0       46.0        FR   France  \n",
-       "1           22.0       34.0        FR   France  \n",
-       "2           12.0       20.0        FR   France  \n",
-       "3           10.0       20.0        FR   France  \n",
-       "4            4.0       14.0        FR   France  \n",
-       "5            5.0       13.0        FR   France  \n",
-       "6            5.0       13.0        FR   France  \n",
-       "7            4.0       10.0        FR   France  \n",
-       "8            8.0       16.0        FR   France  \n",
-       "9            9.0       17.0        FR   France  \n",
-       "10           9.0       17.0        FR   France  \n",
-       "11           3.0        9.0        FR   France  \n",
-       "12           3.0        9.0        FR   France  \n",
-       "13           2.0        6.0        FR   France  \n",
-       "14           3.0        7.0        FR   France  \n",
-       "15           3.0        9.0        FR   France  \n",
-       "16           3.0        7.0        FR   France  \n",
-       "17           6.0       12.0        FR   France  \n",
-       "18          10.0       18.0        FR   France  \n",
-       "19          14.0       22.0        FR   France  \n",
-       "20          20.0       30.0        FR   France  \n",
-       "21          21.0       33.0        FR   France  \n",
-       "22          31.0       43.0        FR   France  \n",
-       "23          53.0       71.0        FR   France  \n",
-       "24          98.0      120.0        FR   France  \n",
-       "25         151.0      177.0        FR   France  \n",
-       "26         150.0      176.0        FR   France  \n",
-       "27         142.0      166.0        FR   France  \n",
-       "28         146.0      172.0        FR   France  \n",
-       "29         155.0      181.0        FR   France  \n",
-       "...          ...        ...       ...      ...  \n",
-       "1843        35.0       59.0        FR   France  \n",
-       "1844        38.0       64.0        FR   France  \n",
-       "1845        59.0       97.0        FR   France  \n",
-       "1846        55.0       93.0        FR   France  \n",
-       "1847        44.0       80.0        FR   France  \n",
-       "1848        66.0      116.0        FR   France  \n",
-       "1849        83.0      149.0        FR   France  \n",
-       "1850       207.0      281.0        FR   France  \n",
-       "1851       319.0      395.0        FR   France  \n",
-       "1852       405.0      485.0        FR   France  \n",
-       "1853       458.0      544.0        FR   France  \n",
-       "1854       591.0      689.0        FR   France  \n",
-       "1855       618.0      722.0        FR   France  \n",
-       "1856       652.0      762.0        FR   France  \n",
-       "1857       784.0      926.0        FR   France  \n",
-       "1858       939.0     1113.0        FR   France  \n",
-       "1859      1074.0     1236.0        FR   France  \n",
-       "1860       708.0      832.0        FR   France  \n",
-       "1861       317.0      459.0        FR   France  \n",
-       "1862       147.0      207.0        FR   France  \n",
-       "1863       120.0      190.0        FR   France  \n",
-       "1864       110.0      198.0        FR   France  \n",
-       "1865       146.0      224.0        FR   France  \n",
-       "1866       184.0      266.0        FR   France  \n",
-       "1867       149.0      219.0        FR   France  \n",
-       "1868       110.0      176.0        FR   France  \n",
-       "1869        99.0      163.0        FR   France  \n",
-       "1870       123.0      195.0        FR   France  \n",
-       "1871       184.0      308.0        FR   France  \n",
-       "1872        37.0      213.0        FR   France  \n",
-       "\n",
-       "[1873 rows x 11 columns]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "local = 'local_data.csv'\n",
-    "if os.path.exists(local):\n",
-    "    raw_data = pd.read_csv(local)\n",
-    "else:\n",
-    "    raw_data = pd.read_csv(data_url, skiprows=1)\n",
-    "    with open(local,'w') as fd:\n",
-    "        fd.writelines(raw_data.to_csv())\n",
+    "raw_data = pd.read_csv(local, skiprows=1)\n",
     "raw_data"
    ]
   },
@@ -1112,75 +98,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "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>Unnamed: 0</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>1636</th>\n",
-       "      <td>1636</td>\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": [
-       "      Unnamed: 0    week  indicator  inc  inc_low  inc_up  inc100  inc100_low  \\\n",
-       "1636        1636  198919          3    0      NaN     NaN       0         NaN   \n",
-       "\n",
-       "      inc100_up geo_insee geo_name  \n",
-       "1636        NaN        FR   France  "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "raw_data[raw_data.isnull().any(axis=1)]"
    ]
@@ -1194,1038 +114,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "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>Unnamed: 0</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>0</td>\n",
-       "      <td>202038</td>\n",
-       "      <td>3</td>\n",
-       "      <td>25578</td>\n",
-       "      <td>21135.0</td>\n",
-       "      <td>30021.0</td>\n",
-       "      <td>39</td>\n",
-       "      <td>32.0</td>\n",
-       "      <td>46.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>202037</td>\n",
-       "      <td>3</td>\n",
-       "      <td>18485</td>\n",
-       "      <td>14649.0</td>\n",
-       "      <td>22321.0</td>\n",
-       "      <td>28</td>\n",
-       "      <td>22.0</td>\n",
-       "      <td>34.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>202036</td>\n",
-       "      <td>3</td>\n",
-       "      <td>10390</td>\n",
-       "      <td>7646.0</td>\n",
-       "      <td>13134.0</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>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>202035</td>\n",
-       "      <td>3</td>\n",
-       "      <td>9918</td>\n",
-       "      <td>6842.0</td>\n",
-       "      <td>12994.0</td>\n",
-       "      <td>15</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>202034</td>\n",
-       "      <td>3</td>\n",
-       "      <td>6084</td>\n",
-       "      <td>3090.0</td>\n",
-       "      <td>9078.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>5</td>\n",
-       "      <td>202033</td>\n",
-       "      <td>3</td>\n",
-       "      <td>6106</td>\n",
-       "      <td>3411.0</td>\n",
-       "      <td>8801.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>6</td>\n",
-       "      <td>202032</td>\n",
-       "      <td>3</td>\n",
-       "      <td>5918</td>\n",
-       "      <td>3330.0</td>\n",
-       "      <td>8506.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>13.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>7</td>\n",
-       "      <td>202031</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4351</td>\n",
-       "      <td>2269.0</td>\n",
-       "      <td>6433.0</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>8</th>\n",
-       "      <td>8</td>\n",
-       "      <td>202030</td>\n",
-       "      <td>3</td>\n",
-       "      <td>8179</td>\n",
-       "      <td>5442.0</td>\n",
-       "      <td>10916.0</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>9</th>\n",
-       "      <td>9</td>\n",
-       "      <td>202029</td>\n",
-       "      <td>3</td>\n",
-       "      <td>8687</td>\n",
-       "      <td>5860.0</td>\n",
-       "      <td>11514.0</td>\n",
-       "      <td>13</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>10</td>\n",
-       "      <td>202028</td>\n",
-       "      <td>3</td>\n",
-       "      <td>8340</td>\n",
-       "      <td>5701.0</td>\n",
-       "      <td>10979.0</td>\n",
-       "      <td>13</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>11</td>\n",
-       "      <td>202027</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4066</td>\n",
-       "      <td>2406.0</td>\n",
-       "      <td>5726.0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>12</td>\n",
-       "      <td>202026</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4039</td>\n",
-       "      <td>2389.0</td>\n",
-       "      <td>5689.0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>13</td>\n",
-       "      <td>202025</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2853</td>\n",
-       "      <td>1488.0</td>\n",
-       "      <td>4218.0</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2.0</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>14</td>\n",
-       "      <td>202024</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3058</td>\n",
-       "      <td>1690.0</td>\n",
-       "      <td>4426.0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>15</td>\n",
-       "      <td>202023</td>\n",
-       "      <td>3</td>\n",
-       "      <td>4168</td>\n",
-       "      <td>2468.0</td>\n",
-       "      <td>5868.0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>16</td>\n",
-       "      <td>202022</td>\n",
-       "      <td>3</td>\n",
-       "      <td>3580</td>\n",
-       "      <td>1947.0</td>\n",
-       "      <td>5213.0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>17</td>\n",
-       "      <td>202021</td>\n",
-       "      <td>3</td>\n",
-       "      <td>6114</td>\n",
-       "      <td>4026.0</td>\n",
-       "      <td>8202.0</td>\n",
-       "      <td>9</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>12.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>18</td>\n",
-       "      <td>202020</td>\n",
-       "      <td>3</td>\n",
-       "      <td>9315</td>\n",
-       "      <td>6775.0</td>\n",
-       "      <td>11855.0</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>19</th>\n",
-       "      <td>19</td>\n",
-       "      <td>202019</td>\n",
-       "      <td>3</td>\n",
-       "      <td>11679</td>\n",
-       "      <td>8722.0</td>\n",
-       "      <td>14636.0</td>\n",
-       "      <td>18</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>22.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>20</td>\n",
-       "      <td>202018</td>\n",
-       "      <td>3</td>\n",
-       "      <td>16398</td>\n",
-       "      <td>12851.0</td>\n",
-       "      <td>19945.0</td>\n",
-       "      <td>25</td>\n",
-       "      <td>20.0</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>21</td>\n",
-       "      <td>202017</td>\n",
-       "      <td>3</td>\n",
-       "      <td>18082</td>\n",
-       "      <td>14454.0</td>\n",
-       "      <td>21710.0</td>\n",
-       "      <td>27</td>\n",
-       "      <td>21.0</td>\n",
-       "      <td>33.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>22</td>\n",
-       "      <td>202016</td>\n",
-       "      <td>3</td>\n",
-       "      <td>24165</td>\n",
-       "      <td>19893.0</td>\n",
-       "      <td>28437.0</td>\n",
-       "      <td>37</td>\n",
-       "      <td>31.0</td>\n",
-       "      <td>43.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>23</td>\n",
-       "      <td>202015</td>\n",
-       "      <td>3</td>\n",
-       "      <td>41049</td>\n",
-       "      <td>35377.0</td>\n",
-       "      <td>46721.0</td>\n",
-       "      <td>62</td>\n",
-       "      <td>53.0</td>\n",
-       "      <td>71.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>24</td>\n",
-       "      <td>202014</td>\n",
-       "      <td>3</td>\n",
-       "      <td>71666</td>\n",
-       "      <td>64531.0</td>\n",
-       "      <td>78801.0</td>\n",
-       "      <td>109</td>\n",
-       "      <td>98.0</td>\n",
-       "      <td>120.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>25</td>\n",
-       "      <td>202013</td>\n",
-       "      <td>3</td>\n",
-       "      <td>107742</td>\n",
-       "      <td>99187.0</td>\n",
-       "      <td>116297.0</td>\n",
-       "      <td>164</td>\n",
-       "      <td>151.0</td>\n",
-       "      <td>177.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>26</td>\n",
-       "      <td>202012</td>\n",
-       "      <td>3</td>\n",
-       "      <td>107283</td>\n",
-       "      <td>98610.0</td>\n",
-       "      <td>115956.0</td>\n",
-       "      <td>163</td>\n",
-       "      <td>150.0</td>\n",
-       "      <td>176.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>27</td>\n",
-       "      <td>202011</td>\n",
-       "      <td>3</td>\n",
-       "      <td>101704</td>\n",
-       "      <td>93652.0</td>\n",
-       "      <td>109756.0</td>\n",
-       "      <td>154</td>\n",
-       "      <td>142.0</td>\n",
-       "      <td>166.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>28</td>\n",
-       "      <td>202010</td>\n",
-       "      <td>3</td>\n",
-       "      <td>104977</td>\n",
-       "      <td>96650.0</td>\n",
-       "      <td>113304.0</td>\n",
-       "      <td>159</td>\n",
-       "      <td>146.0</td>\n",
-       "      <td>172.0</td>\n",
-       "      <td>FR</td>\n",
-       "      <td>France</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>29</td>\n",
-       "      <td>202009</td>\n",
-       "      <td>3</td>\n",
-       "      <td>110696</td>\n",
-       "      <td>102066.0</td>\n",
-       "      <td>119326.0</td>\n",
-       "      <td>168</td>\n",
-       "      <td>155.0</td>\n",
-       "      <td>181.0</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",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1843</th>\n",
-       "      <td>1843</td>\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>1844</th>\n",
-       "      <td>1844</td>\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>1845</th>\n",
-       "      <td>1845</td>\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>1846</th>\n",
-       "      <td>1846</td>\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>1847</th>\n",
-       "      <td>1847</td>\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>1848</th>\n",
-       "      <td>1848</td>\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>1849</th>\n",
-       "      <td>1849</td>\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>1850</th>\n",
-       "      <td>1850</td>\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>1851</th>\n",
-       "      <td>1851</td>\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>1852</th>\n",
-       "      <td>1852</td>\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>1853</th>\n",
-       "      <td>1853</td>\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>1854</th>\n",
-       "      <td>1854</td>\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>1855</th>\n",
-       "      <td>1855</td>\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>1856</th>\n",
-       "      <td>1856</td>\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>1857</th>\n",
-       "      <td>1857</td>\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>1858</th>\n",
-       "      <td>1858</td>\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>1859</th>\n",
-       "      <td>1859</td>\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>1860</th>\n",
-       "      <td>1860</td>\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>1861</th>\n",
-       "      <td>1861</td>\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>1862</th>\n",
-       "      <td>1862</td>\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>1863</th>\n",
-       "      <td>1863</td>\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>1864</th>\n",
-       "      <td>1864</td>\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>1865</th>\n",
-       "      <td>1865</td>\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>1866</th>\n",
-       "      <td>1866</td>\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>1867</th>\n",
-       "      <td>1867</td>\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>1868</th>\n",
-       "      <td>1868</td>\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>1869</th>\n",
-       "      <td>1869</td>\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>1870</th>\n",
-       "      <td>1870</td>\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>1871</th>\n",
-       "      <td>1871</td>\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>1872</th>\n",
-       "      <td>1872</td>\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>1872 rows × 11 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      Unnamed: 0    week  indicator     inc   inc_low    inc_up  inc100  \\\n",
-       "0              0  202038          3   25578   21135.0   30021.0      39   \n",
-       "1              1  202037          3   18485   14649.0   22321.0      28   \n",
-       "2              2  202036          3   10390    7646.0   13134.0      16   \n",
-       "3              3  202035          3    9918    6842.0   12994.0      15   \n",
-       "4              4  202034          3    6084    3090.0    9078.0       9   \n",
-       "5              5  202033          3    6106    3411.0    8801.0       9   \n",
-       "6              6  202032          3    5918    3330.0    8506.0       9   \n",
-       "7              7  202031          3    4351    2269.0    6433.0       7   \n",
-       "8              8  202030          3    8179    5442.0   10916.0      12   \n",
-       "9              9  202029          3    8687    5860.0   11514.0      13   \n",
-       "10            10  202028          3    8340    5701.0   10979.0      13   \n",
-       "11            11  202027          3    4066    2406.0    5726.0       6   \n",
-       "12            12  202026          3    4039    2389.0    5689.0       6   \n",
-       "13            13  202025          3    2853    1488.0    4218.0       4   \n",
-       "14            14  202024          3    3058    1690.0    4426.0       5   \n",
-       "15            15  202023          3    4168    2468.0    5868.0       6   \n",
-       "16            16  202022          3    3580    1947.0    5213.0       5   \n",
-       "17            17  202021          3    6114    4026.0    8202.0       9   \n",
-       "18            18  202020          3    9315    6775.0   11855.0      14   \n",
-       "19            19  202019          3   11679    8722.0   14636.0      18   \n",
-       "20            20  202018          3   16398   12851.0   19945.0      25   \n",
-       "21            21  202017          3   18082   14454.0   21710.0      27   \n",
-       "22            22  202016          3   24165   19893.0   28437.0      37   \n",
-       "23            23  202015          3   41049   35377.0   46721.0      62   \n",
-       "24            24  202014          3   71666   64531.0   78801.0     109   \n",
-       "25            25  202013          3  107742   99187.0  116297.0     164   \n",
-       "26            26  202012          3  107283   98610.0  115956.0     163   \n",
-       "27            27  202011          3  101704   93652.0  109756.0     154   \n",
-       "28            28  202010          3  104977   96650.0  113304.0     159   \n",
-       "29            29  202009          3  110696  102066.0  119326.0     168   \n",
-       "...          ...     ...        ...     ...       ...       ...     ...   \n",
-       "1843        1843  198521          3   26096   19621.0   32571.0      47   \n",
-       "1844        1844  198520          3   27896   20885.0   34907.0      51   \n",
-       "1845        1845  198519          3   43154   32821.0   53487.0      78   \n",
-       "1846        1846  198518          3   40555   29935.0   51175.0      74   \n",
-       "1847        1847  198517          3   34053   24366.0   43740.0      62   \n",
-       "1848        1848  198516          3   50362   36451.0   64273.0      91   \n",
-       "1849        1849  198515          3   63881   45538.0   82224.0     116   \n",
-       "1850        1850  198514          3  134545  114400.0  154690.0     244   \n",
-       "1851        1851  198513          3  197206  176080.0  218332.0     357   \n",
-       "1852        1852  198512          3  245240  223304.0  267176.0     445   \n",
-       "1853        1853  198511          3  276205  252399.0  300011.0     501   \n",
-       "1854        1854  198510          3  353231  326279.0  380183.0     640   \n",
-       "1855        1855  198509          3  369895  341109.0  398681.0     670   \n",
-       "1856        1856  198508          3  389886  359529.0  420243.0     707   \n",
-       "1857        1857  198507          3  471852  432599.0  511105.0     855   \n",
-       "1858        1858  198506          3  565825  518011.0  613639.0    1026   \n",
-       "1859        1859  198505          3  637302  592795.0  681809.0    1155   \n",
-       "1860        1860  198504          3  424937  390794.0  459080.0     770   \n",
-       "1861        1861  198503          3  213901  174689.0  253113.0     388   \n",
-       "1862        1862  198502          3   97586   80949.0  114223.0     177   \n",
-       "1863        1863  198501          3   85489   65918.0  105060.0     155   \n",
-       "1864        1864  198452          3   84830   60602.0  109058.0     154   \n",
-       "1865        1865  198451          3  101726   80242.0  123210.0     185   \n",
-       "1866        1866  198450          3  123680  101401.0  145959.0     225   \n",
-       "1867        1867  198449          3  101073   81684.0  120462.0     184   \n",
-       "1868        1868  198448          3   78620   60634.0   96606.0     143   \n",
-       "1869        1869  198447          3   72029   54274.0   89784.0     131   \n",
-       "1870        1870  198446          3   87330   67686.0  106974.0     159   \n",
-       "1871        1871  198445          3  135223  101414.0  169032.0     246   \n",
-       "1872        1872  198444          3   68422   20056.0  116788.0     125   \n",
-       "\n",
-       "      inc100_low  inc100_up geo_insee geo_name  \n",
-       "0           32.0       46.0        FR   France  \n",
-       "1           22.0       34.0        FR   France  \n",
-       "2           12.0       20.0        FR   France  \n",
-       "3           10.0       20.0        FR   France  \n",
-       "4            4.0       14.0        FR   France  \n",
-       "5            5.0       13.0        FR   France  \n",
-       "6            5.0       13.0        FR   France  \n",
-       "7            4.0       10.0        FR   France  \n",
-       "8            8.0       16.0        FR   France  \n",
-       "9            9.0       17.0        FR   France  \n",
-       "10           9.0       17.0        FR   France  \n",
-       "11           3.0        9.0        FR   France  \n",
-       "12           3.0        9.0        FR   France  \n",
-       "13           2.0        6.0        FR   France  \n",
-       "14           3.0        7.0        FR   France  \n",
-       "15           3.0        9.0        FR   France  \n",
-       "16           3.0        7.0        FR   France  \n",
-       "17           6.0       12.0        FR   France  \n",
-       "18          10.0       18.0        FR   France  \n",
-       "19          14.0       22.0        FR   France  \n",
-       "20          20.0       30.0        FR   France  \n",
-       "21          21.0       33.0        FR   France  \n",
-       "22          31.0       43.0        FR   France  \n",
-       "23          53.0       71.0        FR   France  \n",
-       "24          98.0      120.0        FR   France  \n",
-       "25         151.0      177.0        FR   France  \n",
-       "26         150.0      176.0        FR   France  \n",
-       "27         142.0      166.0        FR   France  \n",
-       "28         146.0      172.0        FR   France  \n",
-       "29         155.0      181.0        FR   France  \n",
-       "...          ...        ...       ...      ...  \n",
-       "1843        35.0       59.0        FR   France  \n",
-       "1844        38.0       64.0        FR   France  \n",
-       "1845        59.0       97.0        FR   France  \n",
-       "1846        55.0       93.0        FR   France  \n",
-       "1847        44.0       80.0        FR   France  \n",
-       "1848        66.0      116.0        FR   France  \n",
-       "1849        83.0      149.0        FR   France  \n",
-       "1850       207.0      281.0        FR   France  \n",
-       "1851       319.0      395.0        FR   France  \n",
-       "1852       405.0      485.0        FR   France  \n",
-       "1853       458.0      544.0        FR   France  \n",
-       "1854       591.0      689.0        FR   France  \n",
-       "1855       618.0      722.0        FR   France  \n",
-       "1856       652.0      762.0        FR   France  \n",
-       "1857       784.0      926.0        FR   France  \n",
-       "1858       939.0     1113.0        FR   France  \n",
-       "1859      1074.0     1236.0        FR   France  \n",
-       "1860       708.0      832.0        FR   France  \n",
-       "1861       317.0      459.0        FR   France  \n",
-       "1862       147.0      207.0        FR   France  \n",
-       "1863       120.0      190.0        FR   France  \n",
-       "1864       110.0      198.0        FR   France  \n",
-       "1865       146.0      224.0        FR   France  \n",
-       "1866       184.0      266.0        FR   France  \n",
-       "1867       149.0      219.0        FR   France  \n",
-       "1868       110.0      176.0        FR   France  \n",
-       "1869        99.0      163.0        FR   France  \n",
-       "1870       123.0      195.0        FR   France  \n",
-       "1871       184.0      308.0        FR   France  \n",
-       "1872        37.0      213.0        FR   France  \n",
-       "\n",
-       "[1872 rows x 11 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "data = raw_data.dropna().copy()\n",
     "data"
@@ -2251,7 +142,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2281,7 +172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2306,17 +197,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "periods = sorted_data.index\n",
     "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
@@ -2334,32 +217,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9f30f3a828>"
-      ]
-     },
-     "execution_count": 9,
-     "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"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sorted_data['inc'].plot()"
    ]
@@ -2373,32 +233,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9f2ee3bba8>"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sorted_data['inc'][-200:].plot()"
    ]
@@ -2433,7 +270,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2453,7 +290,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2477,32 +314,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9f2ed238d0>"
-      ]
-     },
-     "execution_count": 13,
-     "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"
-    }
-   ],
+   "outputs": [],
    "source": [
     "yearly_incidence.plot(style='*')"
    ]
@@ -2516,54 +330,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2014    1600941\n",
-       "1991    1659249\n",
-       "1995    1840410\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": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "yearly_incidence.sort_values()"
    ]
@@ -2578,32 +347,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9f2ed07710>"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAEKCAYAAAAGvn7fAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAGalJREFUeJzt3X2UJXV95/H3h5kBhmkYjAONDsr4QAhIqzgXXWQ13WhcdNCcGE5QQcVIGo0PRCdnM8v6sLrLOj5MsphgkklUiAodw8PZyBjUE2hQNEgPqA2OEBdmlSEMAjLSMAuMfPePX7XctP1wq+69XcXPz+ucPn3vrbpVn/rdut9b9auqexURmJlZPvaqO4CZmfWWC7uZWWZc2M3MMuPCbmaWGRd2M7PMuLCbmWXGhd3MLDMu7GZmmXFhNzPLzNJ+TnzVqlWxZs2aWYc9+OCDrFixop+zr6zJ2aDZ+Zytuibnc7bqyubbunXrPRFxUFczjYi+/a1duzbmctVVV805rG5NzhbR7HzOVl2T8zlbdWXzARPRZe11V4yZWWZc2M3MMuPCbmaWGRd2M7PMuLCbmWWmVGGX9B5JN0u6SdJFkvbtVzAzM6um48IuaTXwbqAVEUcDS4DX9SuYmZlVU7YrZimwXNJSYD/gzt5HMjOzbihK/OappLOAc4DdwFcj4tRZxhkFRgEGBwfXjo2NzTqtqakpBgYGqmTuuyZng97nm9yxq2fTGlwOO3d3Pv7Q6pU9m/dCftVe115yturK5hsZGdkaEa1u5tlxYZf0JOAS4BTgfuAfgIsj4vNzPafVasXExMSsw8bHxxkeHi6bd1E0ORv0Pt+aDVt6Nq31Q3vYNNn5N1Vs37iuZ/NeyK/a69pLzlZd2XySui7sZbpiXg7cHhE/iYhHgUuBF3czczMz670yhf1HwH+QtJ8kAS8DtvUnlpmZVdVxYY+I64CLgRuAyeK5m/uUy8zMKir1tb0R8UHgg33KYmZmPeArT83MMuPCbmaWGRd2M7PMuLCbmWXGhd3MLDMu7GZmmXFhNzPLjAu7mVlmXNjNzDLjwm5mlhkXdjOzzLiwm5llxoXdzCwzLuxmZplxYTczy4wLu5lZZlzYzcwy03Fhl3SEpO+0/f1M0h/1M5yZmZXX8U/jRcQtwPMBJC0BdgCX9SmXmZlVVLUr5mXA/4mI/9vLMGZm1j1FRPknSZ8BboiIv5hl2CgwCjA4OLh2bGxs1mlMTU0xMDBQet6LocnZoPf5Jnfs6tm0BpfDzt2djz+0emXP5r2Q9nbr5TKXMd/yNnm9c7bqyuYbGRnZGhGtbuZZurBL2hu4E3hOROycb9xWqxUTExOzDhsfH2d4eLjUvBdLk7NB7/Ot2bClZ9NaP7SHTZMd9/CxfeO6ns17Ie3t1stlLmO+5W3yeuds1ZXNJ6nrwl6lK+aVpK31eYu6mZnVo0phfz1wUa+DmJlZb5Qq7JL2A34LuLQ/cczMrFudd4YCEfEQ8OQ+ZTEzsx7wladmZplxYTczy4wLu5lZZlzYzcwy48JuZpYZF3Yzs8y4sJuZZcaF3cwsMy7sZmaZcWE3M8uMC7uZWWZc2M3MMuPCbmaWGRd2M7PMuLCbmWXGhd3MLDMu7GZmmSn703gHSrpY0g8kbZN0XL+CmZlZNaV+Gg84F7giIk6WtDewXx8ymZlZFzou7JIOAF4KnA4QEY8Aj/QnlpmZVaWI6GxE6fnAZuD7wPOArcBZEfHgjPFGgVGAwcHBtWNjY7NOb2pqioGBgerJ+6jJ2aD3+SZ37OrZtAaXw87dnY8/tHplz+a9kPZ26+UylzHf8jZ5vXO26srmGxkZ2RoRrW7mWaawt4B/AY6PiOsknQv8LCLeP9dzWq1WTExMzDpsfHyc4eHh8okXQZOzQe/zrdmwpWfTWj+0h02Tnffwbd+4rmfzXkh7u/VymcuYb3mbvN45W3Vl80nqurCXOXh6B3BHRFxX3L8YeEE3Mzczs97ruLBHxF3AjyUdUTz0MlK3jJmZNUjZs2LeBXyhOCPmNuAtvY9kZmbdKFXYI+I7QFd9P2Zm1l++8tTMLDMu7GZmmXFhNzPLjAu7mVlmXNjNzDLjwm5mlhkXdjOzzLiwm5llxoXdzCwzLuxmZplxYTczy4wLu5lZZlzYzcwy48JuZpYZF3Yzs8y4sJuZZcaF3cwsM6V+QUnSduAB4OfAnm5/SdvMzHqv7G+eAoxExD09T2JmZj3hrhgzs8woIjofWbod+CkQwF9HxOZZxhkFRgEGBwfXjo2NzTqtqakpBgYGqmTuq8kduxhcDjt3L/68h1av7Gi8Xrfd5I5dPZtW2bbrdJl7ob3dernMZcy3vE19T4CzdaNsvpGRka3ddnOXLexPjYg7JR0MfA14V0RcM9f4rVYrJiYmZh02Pj7O8PBwybj9t2bDFtYP7WHTZJVequ5s37iuo/F63XZrNmzp2bTKtl2ny9wL7e3Wy2UuY77lbep7ApytG2XzSeq6sJfqiomIO4v/dwOXAS/sZuZmZtZ7HRd2SSsk7T99G3gFcFO/gpmZWTVl+hsGgcskTT/vwoi4oi+pzMysso4Le0TcBjyvj1nMzKwHfLqjmVlmXNjNzDLjwm5mlhkXdjOzzLiwm5llxoXdzCwzLuxmZplxYTczy4wLu5lZZlzYzcwy48JuZpYZF3Yzs8y4sJuZZcaF3cwsMy7sZmaZcWE3M8uMC7uZWWZKF3ZJSyTdKOnyfgQyM7PuVNliPwvY1usgZmbWG6UKu6RDgXXA3/YnjpmZdUsR0fnI0sXAR4D9gT+OiJNmGWcUGAUYHBxcOzY2Nuu0pqamGBgYqJK5ryZ37GJwOezcXXeSuTU5X9lsQ6tX9i/MDO3r3OSOXYs233bzLW9T3xPgbN0om29kZGRrRLS6mefSTkeUdBJwd0RslTQ813gRsRnYDNBqtWJ4ePZRx8fHmWtYnU7fsIX1Q3vYNNlx0yy6Jucrm237qcP9CzND+zp3+oYtizbfdvMtb1PfE+Bs3agjX5mumOOB10jaDowBJ0j6fF9SmZlZZR0X9oj4LxFxaESsAV4HXBkRp/UtmZmZVeLz2M3MMlOpozYixoHxniYxM7Oe8Ba7mVlmXNjNzDLjwm5mlhkXdjOzzLiwm5llxoXdzCwzLuxmZplxYTczy4wLu5lZZlzYzcwy48JuZpYZF3Yzs8y4sJuZZcaF3cwsMy7sZmaZcWE3M8tMx4Vd0r6Svi3pu5JulvShfgYzM7NqyvyC0sPACRExJWkZ8A1J/xQR/9KnbGZmVkHHhT0iApgq7i4r/qIfoczMrDqlet3hyNISYCvwbOC8iPiTWcYZBUYBBgcH146Njc06rampKQYGBuac1+SOXR3n6rXB5bBzd22zX1CT85XNNrR6Zf/CzNC+ztW1fs23vAu9J+r0RM3WhNe5bNuNjIxsjYhWN/MvVdh/8STpQOAy4F0RcdNc47VarZiYmJh12Pj4OMPDw3POY82GLaVz9cr6oT1smqz0O9+Losn5ymbbvnFdH9P8e+3rXF3r13zLu9B7ok5P1GxNeJ3Ltp2krgt7pbNiIuJ+YBw4sZuZm5lZ75U5K+agYksdScuBlwM/6FcwMzOrpsz+/FOAC4p+9r2AL0bE5f2JZWZmVZU5K+Z7wDF9zGJmZj3gK0/NzDLjwm5mlhkXdjOzzLiwm5llxoXdzCwzLuxmZplxYTczy4wLu5lZZlzYzcwy48JuZpYZF3Yzs8y4sJuZZcaF3cwsMy7sZmaZcWE3M8uMC7uZWWZc2M3MMlPmN0+fJukqSdsk3SzprH4GMzOzasr85ukeYH1E3CBpf2CrpK9FxPf7lM3MzCroeIs9Iv4tIm4obj8AbANW9yuYmZlVo4go/yRpDXANcHRE/GzGsFFgFGBwcHDt2NjYrNOYmppiYGBgznlM7thVOlevDC6Hnbtrm/2CmpzP2arrd76h1SsrP3eh92ud5stWVx1pb+uybTcyMrI1IlrdzL90YZc0AFwNnBMRl843bqvViomJiVmHjY+PMzw8POdz12zYUipXL60f2sOmyTK9VIuryfmcrbp+59u+cV3l5y70fq3TfNnqqiPtbV227SR1XdhLnRUjaRlwCfCFhYq6mZnVo8xZMQI+DWyLiD/tXyQzM+tGmS3244E3AidI+k7x96o+5TIzs4o67tCLiG8A6mMWMzPrAV95amaWGRd2M7PMuLCbmWXGhd3MLDMu7GZmmXFhNzPLjAu7mVlmXNjNzDLjwm5mlhkXdjOzzLiwm5llxoXdzCwzLuxmZplxYTczy4wLu5lZZlzYzcwy48JuZpaZMr95+hlJd0u6qZ+BzMysO2W22M8HTuxTDjMz65GOC3tEXAPc18csZmbWA4qIzkeW1gCXR8TR84wzCowCDA4Orh0bG5t1vKmpKQYGBuac1+SOXR3n6rXB5bBzd22zX1CT8zlbdf3ON7R6ZeXnLvR+rdN82eqqI+1tXbbtRkZGtkZEq5v597ywt2u1WjExMTHrsPHxcYaHh+d87poNWzrO1Wvrh/awaXJpbfNfSJPzOVt1/c63feO6ys9d6P1ap/my1VVH2tu6bNtJ6rqw+6wYM7PMuLCbmWWmzOmOFwHfAo6QdIekt/YvlpmZVdVxh15EvL6fQczMrDfcFWNmlhkXdjOzzLiwm5llxoXdzCwzLuxmZplxYTczy4wLu5lZZlzYzcwy48JuZpYZF3Yzs8y4sJuZZcaF3cwsMy7sZmaZcWE3M8uMC7uZWWZc2M3MMuPCbmaWmVKFXdKJkm6R9ENJG/oVyszMqivzm6dLgPOAVwJHAa+XdFS/gpmZWTVltthfCPwwIm6LiEeAMeC3+xPLzMyqUkR0NqJ0MnBiRJxR3H8j8KKIeOeM8UaB0eLuEcAtc0xyFXBPldCLoMnZoNn5nK26JudzturK5jssIg7qZoZLS4yrWR77pU+FiNgMbF5wYtJERLRKzH/RNDkbNDufs1XX5HzOVl0d+cp0xdwBPK3t/qHAnb2NY2Zm3SpT2K8HDpf0DEl7A68D/rE/sczMrKqOu2IiYo+kdwJfAZYAn4mIm7uY94LdNTVqcjZodj5nq67J+ZytukXP1/HBUzMze2LwladmZplxYTczy4wLu5lZZp6QhV3Sakmr684xG0nPlPQeSSfUnWWmJmeDZudztuqanK/J2aB6vidUYZe0RtLVwBXAxyW9pO5M7ST9R+BrpO/SeZukt9cc6ReanA2anc/ZqmtyviZngy7zRUSj/4B9226/FvhEcfvNwD8AQ8V91ZDtBOAZ0/MHPgCcVtx/EfAlYLiOfE3O1vR8zpZnviZn63W+Rm6xSzpA0l9JuhX4hKTDikG/A/youD0G/BA4Y/ppi5jvKEnfA/4b8FlJJ0Rq7aOAQwAi4jrgm8BbFjNfk7M1PZ+z5Zmvydn6la+RhR04EdiXtGCPAB+QtJy0W/JqgIh4GLgYeElx/7F+hZF0qKQD2h46BbgkIl5K+oB5g6TDgQun8xUuA46WtE+/8jU5W9PzOVue+ZqcbbHy1VbYlSyV9FZJX5d0lqRnFYOfDTwSEXuAPwN+CpwGfBV4iqRfK8a7FfixpOP6lPFISV8GvgF8WNL01xT/P2C/4vYXgbuAdaRP1Ce37WHcR/p2y+f9KmVrej5nyzNfk7Mtdr7aCnuxq/GbwJuAjwH7AH9TDL4LuLv4ZPoxaWGeRWqA7/P41wIvA+4tHu8JSSva7j4fuCMi1gBXAp8oHr8PeFjS/hFxH/CvwFOLHN8E3luMtzfwc2B77tmans/Z8szX5Gx15lu0wi7pOEkflXR6cV/AkcAVEfGliPgYcJikFwM7SJ9gRxZP3wYMFI/9BfAqSa8mfSgMAt/tMtuTJJ0v6Xpgo6SDinxDwLWSFBH/CNwvaR1pT2H/YjjF/YOBx0h7GAdL+hvgImBPRNydY7am53O26pqcr8nZmpJvUQq7pOcAfwk8APyepPcW814NPFAsNMD5wBtIhXoP8OLi8RtIR4wfiohrgA3A6cDxwH+PiMfaplHFS4v5vYp0UOJs4ADSl50dUuxdAFxQ5Pt2sSyvBIiIbxXTWBoR24AzgZuB/xkRb6E7Tc7W9HzOlme+JmdrRr65Tpep+kfasj6DtNuxtHjsT4Gzitst4JPAycDLga+0PfdppF0VSIX8RtKvMB0D/G/gKW3jlj4dqWjYM4GrSd05q4rHvwi8u7j9DGBjMfxYUn/YkrZl+0kxndWkPYl3Ap8FPgWs6KLdGput6fmcza+r2+7f//V0i13S80kHOH8b+CDwvmLQDtJvpkL65LkW+F3gn4FDJD1X0rJI/ek7JL0kIq4kfd3lR4FLgYsi4t+m5xVFy5R0EvAa4EPAcaS+fUhn20zvHfwY+Drwyoi4nvSJO1LMcwq4Djg2InYAbyR1Bd0FvC8iHiwbqG1P49VNyzaD266axrUbuO26yfZEaLsyP433SyS9EDgc+GpE/IS0NX5rRJwu6QXAOZJawDjwnyTtFxEPSfou8HukczQvBP4A+KSk3cAkcHsxi78CLoyIXSUyKSJC0rGk3ZyvA1sinR7568BtEXGlpNtJV6++AtgK/I6kVRFxj6R/BR6U9HTgz4HTJB1M+tWoe0m7TkTEBDBRod1apL2aB4CPA3cDz6w7m9uuWrYnQru57fJru/mU2mJXskzSmyTdSOrYPxCYLrw/B7YXW983kHYtjgMe4vFTeAAeJe2CHELaKr+J1L9+NXBPRNwBaau8YlF/KfAZ0lHllwMfKUZ5DLhV0vKIuL3I91zSi3Un6XzS6eVYQmqfS4qMpwJrgc1R8RxXSSslfbaY5u3AuRFxt6S9SJ/kdWZbUrTdb5J2BRvTdsV6NyDpfBrWdsU8Q9IwzVzn9pG0oqFtd0DD225A0r6SLqBhbbegTvprgBXAi4vbBxbBPjnLeGeRLoNdXdw/mdSffhjpKwCuLh7fl9QNs6rtuccAe3eSZ8Y89wPexuNb/suAPwLeUQx/EvC9YvqnkPq71hTDTiqWZVVxexJYSerf/3J7HmCvLrJdRLpibIDUtXRm2zjTxyHeCfyPxcrW9rqeQVrZ1pMO8DSl7aazXVqsVwc1rO32B7aQfkkM4D1NaLcZ+b4M/HVx/2PA2+puO9J74s2k9/8lTWu7tnxXAn9fPNaY9a7TvwW32CWdDdwGbJE0GBH3k/qF7iz6xl+jxy8Q+hbpAOj0hUbXkg6iPhQRFwA/lfQ50kHRW4Bf9CFFxI0R8chCeWZkOwS4HBgGPkc6QPFa0l7CnmK6PyUdeH03qe/rYB4/jfIa0rn0j0TE5cCnSVeznkc6Yv1oW75Sn6ozsv0d8PYi263AEZI2FltRv690wdUVpD2Yvmcr8q0gvblOIF0/8ArScY9jSVtKdbZde7bNpLMFXku6huE36m67wnLStRfPkrSKtM4vKaZZS7vNkm9v0rr2VFIXx9GSPlJX20laRjrGdjLw8Yj43WLQMW3TrK3tZuT7WERMb3FPAkfV2XaldfAJNkzavfhb4D3FY8eSitYdRfALgU3FsHOAD7c9/3rgmOL2PqRTgI7txacSaeV9Udv900lbJm8Gvt32+FOBO4vb7yBdtvuk4vlfAp7eNu6qPmV7E+lI968Df1/8vR74X6Rz+RctW9v0Dmy7/Z9Jb6ZT6267WbL9MemUsWc2qO3eTOprfT/wVtKBtOvrbrdZ8r2PtMezqgltR9oDO3XGY6cA1zWh7ebI9/QiQ+3rXcfL0cGCTp+acwowXtxeRtqaWlncP4y0tX4saRfwYtKW1j+RPqn26Uv41Mcl+MVvt76Ax7t77iWdMzo97tcoCi1p9+mrxTh/skjZjgG+Mb3ito23jHRw+YTi/jn9zjYj5wGk4xs7gQ8X9+8FButqu1my3VXMdwVFN19dbdf2er6F1M32WuALxWP31N1uc+QbKx5rP124lvWO1EVxK7CpmP8HivpxH3BwA9a59nxXkb6Y69C617vSy1FigZ9MulDoOcX9pTOGnw+cPL0CkboezqRPRX2OlfkCHj9f/nPAR4vbv0ba43h62wtzNG1fCbxI2d7R/lhx+5Ci7Z672NnaMvwh6XzbzaR+7W8WbzjV2XYzsp1HOq3s2U1oO9JXRi8h9aFeTdoyvgl4f93r3Cz5/pl0htkLGtJ2XyHtgT2NtBV8FmnDsCnrXHu+L5Au/T+8CW3X6d900emIpE8BP4uIDcX9vUjnXb4DeA5wSpTsJ+8VSYeS+rTeFRG3Kn2h2GiRazXwnejNVWXdZHt7RNxWPHYMqVtqXZHtD+vI1k7pOoQzSW+yI0kr66HU2HZt2Y4mvdn+nHSW1UnU1HaSBkjdHPuQ2uk3SBeenE3aUj6cGtttlnyHk45P/BbpmNfLSO1Xy3qn4rTn4vbzSO/Ta0mX1Ne+zs3IdzTpSvdzSd80W9t6V0bZ89g3A+cWBxmOJK3Ex5NelLPrKuqFYyjOgZd0Bqn//2xSF9IPIp1+WXe2HxXZbietHHtIW/E31pit3b2kg4Dvi4i/k3QacHND8t1P6ie+ifS6LqO+tttDOnviUdKW+s9J6/8k8N4GtNtc+R6W9BpSwa9tvZsumoX7Sced3h8RFzag7Wbme4C08boN+K/Uu951rOwW++tIB0ofJn3j2JURcUufspUi6VrSwbXtpHNIPxQR36s1VGFGtruADQ1qt5WkLbg3kL7/fjNwXkQ8Ou8TF8Es2T4dEZvqTfXLigtPpvuy76o7z0xFvpOBz0Y666TuPPuQfnPhjaQ96r8EPhXpa7prN0u+zRHxZ/WmKqfjwi7puaTzOS8mHSzq2VfldqvYg/ggaUv485GuWmuEJmcDkLSU1P3yMClfk17XxmaDdFEX8FiU2TpaRE3OJ+lM0mm1n2va6wrNz7eQUlvsZmbWfE39aTwzM6vIhd3MLDMu7GZmmXFhNzPLjAu7mVlmXNjNzDLjwm5mlpn/D0QBdzhJVkBDAAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "yearly_incidence.hist(xrot=20)"
    ]
-- 
2.18.1