From 800cf889dc368f008bfa373fe8fe9ff39a1c6fe9 Mon Sep 17 00:00:00 2001
From: 8c82b2701c130ec4af8160ecac35027a
 <8c82b2701c130ec4af8160ecac35027a@app-learninglab.inria.fr>
Date: Wed, 4 Jun 2025 17:06:22 +0000
Subject: [PATCH] computed highest land lowest incidence years

---
 module3/exo2/exercice.ipynb | 1404 ++++++++++++++++++++++++++-
 module3/exo2/my_csv.csv     | 1801 +++++++++++++++++++++++++++++++++++
 2 files changed, 3202 insertions(+), 3 deletions(-)
 create mode 100644 module3/exo2/my_csv.csv

diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb
index 0bbbe37..b6b8d86 100644
--- a/module3/exo2/exercice.ipynb
+++ b/module3/exo2/exercice.ipynb
@@ -1,5 +1,1404 @@
 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Incidence de la varicelle en France"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import isoweek"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_url = \"https://www.sentiweb.fr/datasets/all/inc-7-PAY.csv\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/home/jovyan/work/module3/exo2'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import os\n",
+    "os.getcwd()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "File has been downloaded !\n"
+     ]
+    }
+   ],
+   "source": [
+    "# if file does not exist, download and save\n",
+    "if not os.path.isfile(os.path.join('/home/jovyan/work/module3/exo2', 'my_csv.csv')):\n",
+    "    print(\"File has been downloaded !\")\n",
+    "    raw_data = pd.read_csv(data_url, skiprows=1)\n",
+    "    raw_data.to_csv(os.path.join('/home/jovyan/work/module3/exo2', 'my_csv.csv'), index=False)\n",
+    "# if it exists just laod\n",
+    "else:\n",
+    "    print(\"File exists, just loaded it !\")\n",
+    "    raw_data = pd.read_csv(os.path.join('/home/jovyan/work/module3/exo2', 'my_csv.csv'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>202522</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6794</td>\n",
+       "      <td>3595</td>\n",
+       "      <td>9993</td>\n",
+       "      <td>10</td>\n",
+       "      <td>5</td>\n",
+       "      <td>15</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202521</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4516</td>\n",
+       "      <td>2537</td>\n",
+       "      <td>6495</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202520</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3083</td>\n",
+       "      <td>1535</td>\n",
+       "      <td>4631</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202519</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5084</td>\n",
+       "      <td>1997</td>\n",
+       "      <td>8171</td>\n",
+       "      <td>8</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202518</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5003</td>\n",
+       "      <td>2718</td>\n",
+       "      <td>7288</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>202517</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6246</td>\n",
+       "      <td>3424</td>\n",
+       "      <td>9068</td>\n",
+       "      <td>9</td>\n",
+       "      <td>5</td>\n",
+       "      <td>13</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202516</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6151</td>\n",
+       "      <td>3193</td>\n",
+       "      <td>9109</td>\n",
+       "      <td>9</td>\n",
+       "      <td>5</td>\n",
+       "      <td>13</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202515</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5557</td>\n",
+       "      <td>3262</td>\n",
+       "      <td>7852</td>\n",
+       "      <td>8</td>\n",
+       "      <td>5</td>\n",
+       "      <td>11</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202514</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4984</td>\n",
+       "      <td>2858</td>\n",
+       "      <td>7110</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>202513</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5964</td>\n",
+       "      <td>3608</td>\n",
+       "      <td>8320</td>\n",
+       "      <td>9</td>\n",
+       "      <td>5</td>\n",
+       "      <td>13</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202512</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3855</td>\n",
+       "      <td>1995</td>\n",
+       "      <td>5715</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202511</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5878</td>\n",
+       "      <td>2747</td>\n",
+       "      <td>9009</td>\n",
+       "      <td>9</td>\n",
+       "      <td>4</td>\n",
+       "      <td>14</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202510</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2921</td>\n",
+       "      <td>1421</td>\n",
+       "      <td>4421</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202509</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3381</td>\n",
+       "      <td>1468</td>\n",
+       "      <td>5294</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>8</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202508</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2835</td>\n",
+       "      <td>1286</td>\n",
+       "      <td>4384</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202507</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4502</td>\n",
+       "      <td>2382</td>\n",
+       "      <td>6622</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202506</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3455</td>\n",
+       "      <td>1958</td>\n",
+       "      <td>4952</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202505</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2087</td>\n",
+       "      <td>1056</td>\n",
+       "      <td>3118</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202504</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6895</td>\n",
+       "      <td>4466</td>\n",
+       "      <td>9324</td>\n",
+       "      <td>10</td>\n",
+       "      <td>6</td>\n",
+       "      <td>14</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>202503</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2462</td>\n",
+       "      <td>1161</td>\n",
+       "      <td>3763</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202502</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5966</td>\n",
+       "      <td>2757</td>\n",
+       "      <td>9175</td>\n",
+       "      <td>9</td>\n",
+       "      <td>4</td>\n",
+       "      <td>14</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202501</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6059</td>\n",
+       "      <td>2451</td>\n",
+       "      <td>9667</td>\n",
+       "      <td>9</td>\n",
+       "      <td>4</td>\n",
+       "      <td>14</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202452</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4356</td>\n",
+       "      <td>1776</td>\n",
+       "      <td>6936</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
+       "      <td>11</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>202451</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4670</td>\n",
+       "      <td>2239</td>\n",
+       "      <td>7101</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
+       "      <td>11</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>202450</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7363</td>\n",
+       "      <td>4438</td>\n",
+       "      <td>10288</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202449</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6077</td>\n",
+       "      <td>3631</td>\n",
+       "      <td>8523</td>\n",
+       "      <td>9</td>\n",
+       "      <td>5</td>\n",
+       "      <td>13</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202448</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4189</td>\n",
+       "      <td>1454</td>\n",
+       "      <td>6924</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202447</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1931</td>\n",
+       "      <td>726</td>\n",
+       "      <td>3136</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202446</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2260</td>\n",
+       "      <td>863</td>\n",
+       "      <td>3657</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202445</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2713</td>\n",
+       "      <td>1216</td>\n",
+       "      <td>4210</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1770</th>\n",
+       "      <td>199126</td>\n",
+       "      <td>7</td>\n",
+       "      <td>17608</td>\n",
+       "      <td>11304</td>\n",
+       "      <td>23912</td>\n",
+       "      <td>31</td>\n",
+       "      <td>20</td>\n",
+       "      <td>42</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1771</th>\n",
+       "      <td>199125</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16169</td>\n",
+       "      <td>10700</td>\n",
+       "      <td>21638</td>\n",
+       "      <td>28</td>\n",
+       "      <td>18</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1772</th>\n",
+       "      <td>199124</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16171</td>\n",
+       "      <td>10071</td>\n",
+       "      <td>22271</td>\n",
+       "      <td>28</td>\n",
+       "      <td>17</td>\n",
+       "      <td>39</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1773</th>\n",
+       "      <td>199123</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11947</td>\n",
+       "      <td>7671</td>\n",
+       "      <td>16223</td>\n",
+       "      <td>21</td>\n",
+       "      <td>13</td>\n",
+       "      <td>29</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1774</th>\n",
+       "      <td>199122</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15452</td>\n",
+       "      <td>9953</td>\n",
+       "      <td>20951</td>\n",
+       "      <td>27</td>\n",
+       "      <td>17</td>\n",
+       "      <td>37</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1775</th>\n",
+       "      <td>199121</td>\n",
+       "      <td>7</td>\n",
+       "      <td>14903</td>\n",
+       "      <td>8975</td>\n",
+       "      <td>20831</td>\n",
+       "      <td>26</td>\n",
+       "      <td>16</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1776</th>\n",
+       "      <td>199120</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19053</td>\n",
+       "      <td>12742</td>\n",
+       "      <td>25364</td>\n",
+       "      <td>34</td>\n",
+       "      <td>23</td>\n",
+       "      <td>45</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1777</th>\n",
+       "      <td>199119</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16739</td>\n",
+       "      <td>11246</td>\n",
+       "      <td>22232</td>\n",
+       "      <td>29</td>\n",
+       "      <td>19</td>\n",
+       "      <td>39</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1778</th>\n",
+       "      <td>199118</td>\n",
+       "      <td>7</td>\n",
+       "      <td>21385</td>\n",
+       "      <td>13882</td>\n",
+       "      <td>28888</td>\n",
+       "      <td>38</td>\n",
+       "      <td>25</td>\n",
+       "      <td>51</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1779</th>\n",
+       "      <td>199117</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13462</td>\n",
+       "      <td>8877</td>\n",
+       "      <td>18047</td>\n",
+       "      <td>24</td>\n",
+       "      <td>16</td>\n",
+       "      <td>32</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1780</th>\n",
+       "      <td>199116</td>\n",
+       "      <td>7</td>\n",
+       "      <td>14857</td>\n",
+       "      <td>10068</td>\n",
+       "      <td>19646</td>\n",
+       "      <td>26</td>\n",
+       "      <td>18</td>\n",
+       "      <td>34</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1781</th>\n",
+       "      <td>199115</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13975</td>\n",
+       "      <td>9781</td>\n",
+       "      <td>18169</td>\n",
+       "      <td>25</td>\n",
+       "      <td>18</td>\n",
+       "      <td>32</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1782</th>\n",
+       "      <td>199114</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12265</td>\n",
+       "      <td>7684</td>\n",
+       "      <td>16846</td>\n",
+       "      <td>22</td>\n",
+       "      <td>14</td>\n",
+       "      <td>30</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1783</th>\n",
+       "      <td>199113</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9567</td>\n",
+       "      <td>6041</td>\n",
+       "      <td>13093</td>\n",
+       "      <td>17</td>\n",
+       "      <td>11</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1784</th>\n",
+       "      <td>199112</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10864</td>\n",
+       "      <td>7331</td>\n",
+       "      <td>14397</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "      <td>25</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1785</th>\n",
+       "      <td>199111</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15574</td>\n",
+       "      <td>11184</td>\n",
+       "      <td>19964</td>\n",
+       "      <td>27</td>\n",
+       "      <td>19</td>\n",
+       "      <td>35</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1786</th>\n",
+       "      <td>199110</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16643</td>\n",
+       "      <td>11372</td>\n",
+       "      <td>21914</td>\n",
+       "      <td>29</td>\n",
+       "      <td>20</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1787</th>\n",
+       "      <td>199109</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13741</td>\n",
+       "      <td>8780</td>\n",
+       "      <td>18702</td>\n",
+       "      <td>24</td>\n",
+       "      <td>15</td>\n",
+       "      <td>33</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1788</th>\n",
+       "      <td>199108</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13289</td>\n",
+       "      <td>8813</td>\n",
+       "      <td>17765</td>\n",
+       "      <td>23</td>\n",
+       "      <td>15</td>\n",
+       "      <td>31</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1789</th>\n",
+       "      <td>199107</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12337</td>\n",
+       "      <td>8077</td>\n",
+       "      <td>16597</td>\n",
+       "      <td>22</td>\n",
+       "      <td>15</td>\n",
+       "      <td>29</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1790</th>\n",
+       "      <td>199106</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10877</td>\n",
+       "      <td>7013</td>\n",
+       "      <td>14741</td>\n",
+       "      <td>19</td>\n",
+       "      <td>12</td>\n",
+       "      <td>26</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1791</th>\n",
+       "      <td>199105</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10442</td>\n",
+       "      <td>6544</td>\n",
+       "      <td>14340</td>\n",
+       "      <td>18</td>\n",
+       "      <td>11</td>\n",
+       "      <td>25</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1792</th>\n",
+       "      <td>199104</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7913</td>\n",
+       "      <td>4563</td>\n",
+       "      <td>11263</td>\n",
+       "      <td>14</td>\n",
+       "      <td>8</td>\n",
+       "      <td>20</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1793</th>\n",
+       "      <td>199103</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15387</td>\n",
+       "      <td>10484</td>\n",
+       "      <td>20290</td>\n",
+       "      <td>27</td>\n",
+       "      <td>18</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1794</th>\n",
+       "      <td>199102</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16277</td>\n",
+       "      <td>11046</td>\n",
+       "      <td>21508</td>\n",
+       "      <td>29</td>\n",
+       "      <td>20</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1795</th>\n",
+       "      <td>199101</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15565</td>\n",
+       "      <td>10271</td>\n",
+       "      <td>20859</td>\n",
+       "      <td>27</td>\n",
+       "      <td>18</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1796</th>\n",
+       "      <td>199052</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19375</td>\n",
+       "      <td>13295</td>\n",
+       "      <td>25455</td>\n",
+       "      <td>34</td>\n",
+       "      <td>23</td>\n",
+       "      <td>45</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1797</th>\n",
+       "      <td>199051</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19080</td>\n",
+       "      <td>13807</td>\n",
+       "      <td>24353</td>\n",
+       "      <td>34</td>\n",
+       "      <td>25</td>\n",
+       "      <td>43</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1798</th>\n",
+       "      <td>199050</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11079</td>\n",
+       "      <td>6660</td>\n",
+       "      <td>15498</td>\n",
+       "      <td>20</td>\n",
+       "      <td>12</td>\n",
+       "      <td>28</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1799</th>\n",
+       "      <td>199049</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1143</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2610</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1800 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator    inc  inc_low  inc_up  inc100  inc100_low  \\\n",
+       "0     202522          7   6794     3595    9993      10           5   \n",
+       "1     202521          7   4516     2537    6495       7           4   \n",
+       "2     202520          7   3083     1535    4631       5           3   \n",
+       "3     202519          7   5084     1997    8171       8           3   \n",
+       "4     202518          7   5003     2718    7288       7           4   \n",
+       "5     202517          7   6246     3424    9068       9           5   \n",
+       "6     202516          7   6151     3193    9109       9           5   \n",
+       "7     202515          7   5557     3262    7852       8           5   \n",
+       "8     202514          7   4984     2858    7110       7           4   \n",
+       "9     202513          7   5964     3608    8320       9           5   \n",
+       "10    202512          7   3855     1995    5715       6           3   \n",
+       "11    202511          7   5878     2747    9009       9           4   \n",
+       "12    202510          7   2921     1421    4421       4           2   \n",
+       "13    202509          7   3381     1468    5294       5           2   \n",
+       "14    202508          7   2835     1286    4384       4           2   \n",
+       "15    202507          7   4502     2382    6622       7           4   \n",
+       "16    202506          7   3455     1958    4952       5           3   \n",
+       "17    202505          7   2087     1056    3118       3           1   \n",
+       "18    202504          7   6895     4466    9324      10           6   \n",
+       "19    202503          7   2462     1161    3763       4           2   \n",
+       "20    202502          7   5966     2757    9175       9           4   \n",
+       "21    202501          7   6059     2451    9667       9           4   \n",
+       "22    202452          7   4356     1776    6936       7           3   \n",
+       "23    202451          7   4670     2239    7101       7           3   \n",
+       "24    202450          7   7363     4438   10288      11           7   \n",
+       "25    202449          7   6077     3631    8523       9           5   \n",
+       "26    202448          7   4189     1454    6924       6           2   \n",
+       "27    202447          7   1931      726    3136       3           1   \n",
+       "28    202446          7   2260      863    3657       3           1   \n",
+       "29    202445          7   2713     1216    4210       4           2   \n",
+       "...      ...        ...    ...      ...     ...     ...         ...   \n",
+       "1770  199126          7  17608    11304   23912      31          20   \n",
+       "1771  199125          7  16169    10700   21638      28          18   \n",
+       "1772  199124          7  16171    10071   22271      28          17   \n",
+       "1773  199123          7  11947     7671   16223      21          13   \n",
+       "1774  199122          7  15452     9953   20951      27          17   \n",
+       "1775  199121          7  14903     8975   20831      26          16   \n",
+       "1776  199120          7  19053    12742   25364      34          23   \n",
+       "1777  199119          7  16739    11246   22232      29          19   \n",
+       "1778  199118          7  21385    13882   28888      38          25   \n",
+       "1779  199117          7  13462     8877   18047      24          16   \n",
+       "1780  199116          7  14857    10068   19646      26          18   \n",
+       "1781  199115          7  13975     9781   18169      25          18   \n",
+       "1782  199114          7  12265     7684   16846      22          14   \n",
+       "1783  199113          7   9567     6041   13093      17          11   \n",
+       "1784  199112          7  10864     7331   14397      19          13   \n",
+       "1785  199111          7  15574    11184   19964      27          19   \n",
+       "1786  199110          7  16643    11372   21914      29          20   \n",
+       "1787  199109          7  13741     8780   18702      24          15   \n",
+       "1788  199108          7  13289     8813   17765      23          15   \n",
+       "1789  199107          7  12337     8077   16597      22          15   \n",
+       "1790  199106          7  10877     7013   14741      19          12   \n",
+       "1791  199105          7  10442     6544   14340      18          11   \n",
+       "1792  199104          7   7913     4563   11263      14           8   \n",
+       "1793  199103          7  15387    10484   20290      27          18   \n",
+       "1794  199102          7  16277    11046   21508      29          20   \n",
+       "1795  199101          7  15565    10271   20859      27          18   \n",
+       "1796  199052          7  19375    13295   25455      34          23   \n",
+       "1797  199051          7  19080    13807   24353      34          25   \n",
+       "1798  199050          7  11079     6660   15498      20          12   \n",
+       "1799  199049          7   1143        0    2610       2           0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0            15        FR   France  \n",
+       "1            10        FR   France  \n",
+       "2             7        FR   France  \n",
+       "3            13        FR   France  \n",
+       "4            10        FR   France  \n",
+       "5            13        FR   France  \n",
+       "6            13        FR   France  \n",
+       "7            11        FR   France  \n",
+       "8            10        FR   France  \n",
+       "9            13        FR   France  \n",
+       "10            9        FR   France  \n",
+       "11           14        FR   France  \n",
+       "12            6        FR   France  \n",
+       "13            8        FR   France  \n",
+       "14            6        FR   France  \n",
+       "15           10        FR   France  \n",
+       "16            7        FR   France  \n",
+       "17            5        FR   France  \n",
+       "18           14        FR   France  \n",
+       "19            6        FR   France  \n",
+       "20           14        FR   France  \n",
+       "21           14        FR   France  \n",
+       "22           11        FR   France  \n",
+       "23           11        FR   France  \n",
+       "24           15        FR   France  \n",
+       "25           13        FR   France  \n",
+       "26           10        FR   France  \n",
+       "27            5        FR   France  \n",
+       "28            5        FR   France  \n",
+       "29            6        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1770         42        FR   France  \n",
+       "1771         38        FR   France  \n",
+       "1772         39        FR   France  \n",
+       "1773         29        FR   France  \n",
+       "1774         37        FR   France  \n",
+       "1775         36        FR   France  \n",
+       "1776         45        FR   France  \n",
+       "1777         39        FR   France  \n",
+       "1778         51        FR   France  \n",
+       "1779         32        FR   France  \n",
+       "1780         34        FR   France  \n",
+       "1781         32        FR   France  \n",
+       "1782         30        FR   France  \n",
+       "1783         23        FR   France  \n",
+       "1784         25        FR   France  \n",
+       "1785         35        FR   France  \n",
+       "1786         38        FR   France  \n",
+       "1787         33        FR   France  \n",
+       "1788         31        FR   France  \n",
+       "1789         29        FR   France  \n",
+       "1790         26        FR   France  \n",
+       "1791         25        FR   France  \n",
+       "1792         20        FR   France  \n",
+       "1793         36        FR   France  \n",
+       "1794         38        FR   France  \n",
+       "1795         36        FR   France  \n",
+       "1796         45        FR   France  \n",
+       "1797         43        FR   France  \n",
+       "1798         28        FR   France  \n",
+       "1799          5        FR   France  \n",
+       "\n",
+       "[1800 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data[raw_data.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = raw_data.copy()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "no lines that are null or empty !"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def convert_week(year_and_week_int):\n",
+    "    year_and_week_str = str(year_and_week_int)\n",
+    "    year = int(year_and_week_str[:4])\n",
+    "    week = int(year_and_week_str[4:])\n",
+    "    w = isoweek.Week(year, week)\n",
+    "    return pd.Period(w.day(0), 'W')\n",
+    "\n",
+    "data['period'] = [convert_week(yw) for yw in data['week']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sorted_data = data.set_index('period').sort_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "periods = sorted_data.index\n",
+    "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
+    "    delta = p2.to_timestamp() - p1.end_time\n",
+    "    if delta > pd.Timedelta('1s'):\n",
+    "        print(p1, p2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Coherent with the fact that we have no empty line"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22b2a007f0>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data['inc'].plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Already numerical, since no -"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22b034cd68>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data['inc'][-200:].plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Weeks start the first september !"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "first_september_week = [pd.Period(pd.Timestamp(y, 11, 1), 'W')\n",
+    "                     for y in range(1992,\n",
+    "                                    sorted_data.index[-1].year)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "year = []\n",
+    "yearly_incidence = []\n",
+    "for week1, week2 in zip(first_august_week[:-1],\n",
+    "                        first_august_week[1:]):\n",
+    "    one_year = sorted_data['inc'][week1:week2-1]\n",
+    "    assert abs(len(one_year)-52) < 2\n",
+    "    yearly_incidence.append(one_year.sum())\n",
+    "    year.append(week2.year)\n",
+    "yearly_incidence = pd.Series(data=yearly_incidence, index=year)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22b02ea908>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "yearly_incidence.plot(style='*')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2020    212566\n",
+       "2023    359618\n",
+       "2021    396705\n",
+       "2024    476315\n",
+       "2002    537852\n",
+       "2018    539257\n",
+       "2017    543932\n",
+       "2019    584438\n",
+       "2006    594393\n",
+       "1996    595910\n",
+       "2001    605370\n",
+       "2015    610370\n",
+       "2000    623083\n",
+       "2022    627644\n",
+       "2011    634300\n",
+       "2005    639920\n",
+       "2012    645401\n",
+       "1997    647348\n",
+       "1993    650746\n",
+       "1995    651325\n",
+       "1994    656554\n",
+       "2014    669203\n",
+       "2013    696722\n",
+       "1998    713151\n",
+       "1999    724927\n",
+       "2003    736444\n",
+       "2007    742065\n",
+       "2008    760385\n",
+       "2016    775540\n",
+       "2004    794616\n",
+       "2010    819892\n",
+       "2009    843302\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "yearly_incidence.sort_values()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f22b0247e80>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "yearly_incidence.hist(xrot=20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +1415,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-
diff --git a/module3/exo2/my_csv.csv b/module3/exo2/my_csv.csv
new file mode 100644
index 0000000..eb09ab9
--- /dev/null
+++ b/module3/exo2/my_csv.csv
@@ -0,0 +1,1801 @@
+week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
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+202512,7,3855,1995,5715,6,3,9,FR,France
+202511,7,5878,2747,9009,9,4,14,FR,France
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+202437,7,916,28,1804,1,0,2,FR,France
+202436,7,2235,870,3600,3,1,5,FR,France
+202435,7,1623,284,2962,2,0,4,FR,France
+202434,7,2560,622,4498,4,1,7,FR,France
+202433,7,1971,536,3406,3,1,5,FR,France
+202432,7,4399,1944,6854,7,3,11,FR,France
+202431,7,4500,2213,6787,7,4,10,FR,France
+202430,7,7004,4278,9730,11,7,15,FR,France
+202429,7,9270,6303,12237,14,10,18,FR,France
+202428,7,9364,6498,12230,14,10,18,FR,France
+202427,7,10247,7090,13404,15,10,20,FR,France
+202426,7,14368,10399,18337,22,16,28,FR,France
+202425,7,11174,8039,14309,17,12,22,FR,France
+202424,7,12621,9357,15885,19,14,24,FR,France
+202423,7,14657,11339,17975,22,17,27,FR,France
+202422,7,11628,8361,14895,17,12,22,FR,France
+202421,7,9701,6851,12551,15,11,19,FR,France
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+202410,7,14301,10761,17841,21,16,26,FR,France
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+202408,7,15899,11991,19807,24,18,30,FR,France
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+202404,7,9504,6566,12442,14,10,18,FR,France
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+202401,7,13305,9214,17396,20,14,26,FR,France
+202352,7,11636,7354,15918,18,12,24,FR,France
+202351,7,6912,4227,9597,10,6,14,FR,France
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+202347,7,6537,4277,8797,10,7,13,FR,France
+202346,7,5229,2973,7485,8,5,11,FR,France
+202345,7,5007,2675,7339,8,4,12,FR,France
+202344,7,3688,1664,5712,6,3,9,FR,France
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+199928,7,21079,13832,28326,36,24,48,FR,France
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+199341,7,9657,6648,12666,17,12,22,FR,France
+199340,7,5725,3082,8368,10,5,15,FR,France
+199339,7,5520,3207,7833,10,6,14,FR,France
+199338,7,2179,888,3470,4,2,6,FR,France
+199337,7,1762,557,2967,3,1,5,FR,France
+199336,7,3214,1526,4902,6,3,9,FR,France
+199335,7,2335,910,3760,4,2,6,FR,France
+199334,7,3770,1712,5828,7,3,11,FR,France
+199333,7,5925,3250,8600,10,5,15,FR,France
+199332,7,12711,8079,17343,22,14,30,FR,France
+199331,7,12481,7874,17088,22,14,30,FR,France
+199330,7,12584,8619,16549,22,15,29,FR,France
+199329,7,13179,8991,17367,23,16,30,FR,France
+199328,7,15293,11335,19251,27,20,34,FR,France
+199327,7,14134,9791,18477,25,17,33,FR,France
+199326,7,17937,13577,22297,31,23,39,FR,France
+199325,7,19581,14916,24246,34,26,42,FR,France
+199324,7,18285,13450,23120,32,24,40,FR,France
+199323,7,16003,11927,20079,28,21,35,FR,France
+199322,7,12652,8597,16707,22,15,29,FR,France
+199321,7,15218,10970,19466,27,20,34,FR,France
+199320,7,11343,7655,15031,20,14,26,FR,France
+199319,7,12086,8856,15316,21,15,27,FR,France
+199318,7,18898,14305,23491,33,25,41,FR,France
+199317,7,14969,10565,19373,26,18,34,FR,France
+199316,7,15102,11226,18978,26,19,33,FR,France
+199315,7,15058,11183,18933,26,19,33,FR,France
+199314,7,12425,9045,15805,22,16,28,FR,France
+199313,7,12266,8927,15605,21,15,27,FR,France
+199312,7,10821,7884,13758,19,14,24,FR,France
+199311,7,11021,8006,14036,19,14,24,FR,France
+199310,7,15847,12158,19536,28,22,34,FR,France
+199309,7,15084,11059,19109,26,19,33,FR,France
+199308,7,16967,12936,20998,30,23,37,FR,France
+199307,7,16057,12350,19764,28,22,34,FR,France
+199306,7,15887,12275,19499,28,22,34,FR,France
+199305,7,15954,12443,19465,28,22,34,FR,France
+199304,7,12374,9426,15322,22,17,27,FR,France
+199303,7,15283,11831,18735,27,21,33,FR,France
+199302,7,13366,10262,16470,23,18,28,FR,France
+199301,7,18678,14977,22379,33,27,39,FR,France
+199253,7,17829,13827,21831,31,24,38,FR,France
+199252,7,14330,10582,18078,25,18,32,FR,France
+199251,7,14635,11262,18008,26,20,32,FR,France
+199250,7,15252,11566,18938,27,21,33,FR,France
+199249,7,14411,11187,17635,25,19,31,FR,France
+199248,7,10048,7396,12700,18,13,23,FR,France
+199247,7,13069,9752,16386,23,17,29,FR,France
+199246,7,6900,4727,9073,12,8,16,FR,France
+199245,7,10791,7794,13788,19,14,24,FR,France
+199244,7,10205,7482,12928,18,13,23,FR,France
+199243,7,7196,4908,9484,13,9,17,FR,France
+199242,7,5748,3738,7758,10,6,14,FR,France
+199241,7,3587,2045,5129,6,3,9,FR,France
+199240,7,5654,3442,7866,10,6,14,FR,France
+199239,7,4747,2751,6743,8,5,11,FR,France
+199238,7,2842,1306,4378,5,2,8,FR,France
+199237,7,4103,2203,6003,7,4,10,FR,France
+199236,7,2801,1200,4402,5,2,8,FR,France
+199235,7,6428,3717,9139,11,6,16,FR,France
+199234,7,7517,4190,10844,13,7,19,FR,France
+199233,7,9951,5955,13947,17,10,24,FR,France
+199232,7,16090,11337,20843,28,20,36,FR,France
+199231,7,17156,12441,21871,30,22,38,FR,France
+199230,7,21780,16301,27259,38,28,48,FR,France
+199229,7,18926,13397,24455,33,23,43,FR,France
+199228,7,28144,20384,35904,49,35,63,FR,France
+199227,7,29388,22331,36445,51,39,63,FR,France
+199226,7,27933,21686,34180,49,38,60,FR,France
+199225,7,26446,21153,31739,46,37,55,FR,France
+199224,7,19614,14769,24459,34,26,42,FR,France
+199223,7,23628,17852,29404,41,31,51,FR,France
+199222,7,20438,14868,26008,36,26,46,FR,France
+199221,7,22595,17395,27795,40,31,49,FR,France
+199220,7,21092,15963,26221,37,28,46,FR,France
+199219,7,19210,13934,24486,34,25,43,FR,France
+199218,7,30273,22605,37941,53,40,66,FR,France
+199217,7,19162,14251,24073,34,25,43,FR,France
+199216,7,15583,11158,20008,27,19,35,FR,France
+199215,7,15473,10723,20223,27,19,35,FR,France
+199214,7,14455,10040,18870,25,17,33,FR,France
+199213,7,17146,12105,22187,30,21,39,FR,France
+199212,7,15838,10923,20753,28,19,37,FR,France
+199211,7,20003,13824,26182,35,24,46,FR,France
+199210,7,22906,16060,29752,40,28,52,FR,France
+199209,7,21824,15687,27961,38,27,49,FR,France
+199208,7,15243,10265,20221,27,18,36,FR,France
+199207,7,22633,16160,29106,40,29,51,FR,France
+199206,7,17009,12219,21799,30,22,38,FR,France
+199205,7,15997,11590,20404,28,20,36,FR,France
+199204,7,20690,15075,26305,36,26,46,FR,France
+199203,7,18586,12684,24488,33,23,43,FR,France
+199202,7,16588,10590,22586,29,18,40,FR,France
+199201,7,23607,16552,30662,41,29,53,FR,France
+199152,7,15184,10392,19976,27,19,35,FR,France
+199151,7,15043,10624,19462,26,18,34,FR,France
+199150,7,14115,9737,18493,25,17,33,FR,France
+199149,7,13304,8548,18060,23,15,31,FR,France
+199148,7,15370,10164,20576,27,18,36,FR,France
+199147,7,12813,8139,17487,23,15,31,FR,France
+199146,7,6453,3123,9783,11,5,17,FR,France
+199145,7,8048,4083,12013,14,7,21,FR,France
+199144,7,9882,5623,14141,17,10,24,FR,France
+199143,7,14307,8645,19969,25,15,35,FR,France
+199142,7,6419,3334,9504,11,6,16,FR,France
+199141,7,6168,3113,9223,11,6,16,FR,France
+199140,7,3615,1159,6071,6,2,10,FR,France
+199139,7,3105,472,5738,5,0,10,FR,France
+199138,7,4446,1435,7457,8,3,13,FR,France
+199137,7,1457,0,3262,3,0,6,FR,France
+199136,7,3053,29,6077,5,0,10,FR,France
+199135,7,805,0,2556,1,0,4,FR,France
+199134,7,5512,856,10168,10,2,18,FR,France
+199133,7,7347,2903,11791,13,5,21,FR,France
+199132,7,16099,7334,24864,28,13,43,FR,France
+199131,7,16803,8145,25461,30,15,45,FR,France
+199130,7,15915,6368,25462,28,11,45,FR,France
+199129,7,23744,14703,32785,42,26,58,FR,France
+199128,7,24222,15617,32827,43,28,58,FR,France
+199127,7,20309,12868,27750,36,23,49,FR,France
+199126,7,17608,11304,23912,31,20,42,FR,France
+199125,7,16169,10700,21638,28,18,38,FR,France
+199124,7,16171,10071,22271,28,17,39,FR,France
+199123,7,11947,7671,16223,21,13,29,FR,France
+199122,7,15452,9953,20951,27,17,37,FR,France
+199121,7,14903,8975,20831,26,16,36,FR,France
+199120,7,19053,12742,25364,34,23,45,FR,France
+199119,7,16739,11246,22232,29,19,39,FR,France
+199118,7,21385,13882,28888,38,25,51,FR,France
+199117,7,13462,8877,18047,24,16,32,FR,France
+199116,7,14857,10068,19646,26,18,34,FR,France
+199115,7,13975,9781,18169,25,18,32,FR,France
+199114,7,12265,7684,16846,22,14,30,FR,France
+199113,7,9567,6041,13093,17,11,23,FR,France
+199112,7,10864,7331,14397,19,13,25,FR,France
+199111,7,15574,11184,19964,27,19,35,FR,France
+199110,7,16643,11372,21914,29,20,38,FR,France
+199109,7,13741,8780,18702,24,15,33,FR,France
+199108,7,13289,8813,17765,23,15,31,FR,France
+199107,7,12337,8077,16597,22,15,29,FR,France
+199106,7,10877,7013,14741,19,12,26,FR,France
+199105,7,10442,6544,14340,18,11,25,FR,France
+199104,7,7913,4563,11263,14,8,20,FR,France
+199103,7,15387,10484,20290,27,18,36,FR,France
+199102,7,16277,11046,21508,29,20,38,FR,France
+199101,7,15565,10271,20859,27,18,36,FR,France
+199052,7,19375,13295,25455,34,23,45,FR,France
+199051,7,19080,13807,24353,34,25,43,FR,France
+199050,7,11079,6660,15498,20,12,28,FR,France
+199049,7,1143,0,2610,2,0,5,FR,France
-- 
2.18.1