diff --git a/module2/exo2/excercice pariie 02.ipynb b/module2/exo2/excercice pariie 02.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..6028e9fa31d8246c8bee071500f4af952257321d
--- /dev/null
+++ b/module2/exo2/excercice pariie 02.ipynb	
@@ -0,0 +1,132 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Moyenne (Media): 14.113000000000001\n",
+      "Écart-type (Desviación estándar): 4.312369534258399\n",
+      "Min: 2.8\n",
+      "Médiane (Mediana): 14.5\n",
+      "Max: 23.4\n",
+      "Écart-type (Desviación estándar muestreal): 4.334094455301447\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "# Datos proporcionados\n",
+    "datos = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9, 12.2, 9.9, 2.9, 2.8, 15.4,\n",
+    "         15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9,\n",
+    "         16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6,\n",
+    "         19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9,\n",
+    "         20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n",
+    "\n",
+    "# Calcula la moyenne (media)\n",
+    "media = np.mean(datos)\n",
+    "\n",
+    "# Calcula l'écart-type (desviación estándar)\n",
+    "desviacion_estandar = np.std(datos)\n",
+    "\n",
+    "# Encuentra le min (mínimo)\n",
+    "minimo = np.min(datos)\n",
+    "\n",
+    "# Calcula la médiane (mediana)\n",
+    "mediana = np.median(datos)\n",
+    "\n",
+    "# Encuentra le max (máximo)\n",
+    "maximo = np.max(datos)\n",
+    "\n",
+    "# Imprime los resultados\n",
+    "print(f\"Moyenne (Media): {media}\")\n",
+    "print(f\"Écart-type (Desviación estándar): {desviacion_estandar}\")\n",
+    "print(f\"Min: {minimo}\")\n",
+    "print(f\"Médiane (Mediana): {mediana}\")\n",
+    "print(f\"Max: {maximo}\")\n",
+    "# Para corregir la desviacion estandar muestreal\n",
+    "desviacion_estandar_muestral = np.std(datos, ddof=1)\n",
+    "print(f\"Écart-type (Desviación estándar muestreal): {desviacion_estandar_muestral}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "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": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Crear un gráfico de dispersión (plot)\n",
+    "\n",
+    "plt.plot(datos)\n",
+    "plt.show()\n",
+    "\n",
+    "# Crear un histograma\n",
+    "plt.hist(datos)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/module2/exo5/exo5_en.ipynb b/module2/exo5/exo5_en.ipynb
index 6a0919d7ba4c9594341883f6d283db9ea050de72..c6e426cc5a3f07652dd44b207b4aaa7f66574f56 100644
--- a/module2/exo5/exo5_en.ipynb
+++ b/module2/exo5/exo5_en.ipynb
@@ -706,7 +706,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
diff --git a/module2/exo5/exo5_fr.ipynb b/module2/exo5/exo5_fr.ipynb
index 26ad6d94fa840f788a57621b06dc6af83a848391..00894067f0c51f8db5a62bf8df1f6ba29eb0dc21 100644
--- a/module2/exo5/exo5_fr.ipynb
+++ b/module2/exo5/exo5_fr.ipynb
@@ -705,7 +705,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb
index 59d72b5b58a3ae26346460dd39e62a39c55243d7..4933e016e5d0241312815f3bee24f6b3e7bfad67 100644
--- a/module3/exo1/analyse-syndrome-grippal.ipynb
+++ b/module3/exo1/analyse-syndrome-grippal.ipynb
@@ -364,7 +364,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
diff --git a/module3/exo2/analyse-syndrome-grippal-jupyter.ipynb b/module3/exo2/analyse-syndrome-grippal-jupyter.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..a0c68cd452e7d531603c8cc7f5eaf6fdbaf6f604
--- /dev/null
+++ b/module3/exo2/analyse-syndrome-grippal-jupyter.ipynb
@@ -0,0 +1,2505 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Incidence du syndrome grippal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import isoweek"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Les données de l'incidence du syndrome grippal sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1984 et se termine avec une semaine récente."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Voici l'explication des colonnes données [sur le site d'origine](https://ns.sentiweb.fr/incidence/csv-schema-v1.json):\n",
+    "\n",
+    "| Nom de colonne | Libellé de colonne                                                                                                                |\n",
+    "|----------------|-----------------------------------------------------------------------------------------------------------------------------------|\n",
+    "| week           | Semaine calendaire (ISO 8601)                                                                                                     |\n",
+    "| indicator      | Code de l'indicateur de surveillance                                                                                              |\n",
+    "| inc            | Estimation de l'incidence de consultations en nombre de cas                                                                       |\n",
+    "| inc_low        | Estimation de la borne inférieure de l'IC95% du nombre de cas de consultation                                                     |\n",
+    "| inc_up         | Estimation de la borne supérieure de l'IC95% du nombre de cas de consultation                                                     |\n",
+    "| inc100         | Estimation du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants)                                   |\n",
+    "| inc100_low     | Estimation de la borne inférieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |\n",
+    "| inc100_up      | Estimation de la borne supérieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |\n",
+    "| geo_insee      | Code de la zone géographique concernée (Code INSEE) http://www.insee.fr/fr/methodes/nomenclatures/cog/                            |\n",
+    "| geo_name       | Libellé de la zone géographique (ce libellé peut être modifié sans préavis)                                                       |\n",
+    "\n",
+    "La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\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>201842</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7832</td>\n",
+       "      <td>5145.0</td>\n",
+       "      <td>10519.0</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>1</th>\n",
+       "      <td>201841</td>\n",
+       "      <td>3</td>\n",
+       "      <td>8048</td>\n",
+       "      <td>5098.0</td>\n",
+       "      <td>10998.0</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>2</th>\n",
+       "      <td>201840</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7409</td>\n",
+       "      <td>4717.0</td>\n",
+       "      <td>10101.0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>201839</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7174</td>\n",
+       "      <td>4235.0</td>\n",
+       "      <td>10113.0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>201838</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6127</td>\n",
+       "      <td>3482.0</td>\n",
+       "      <td>8772.0</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>5</th>\n",
+       "      <td>201837</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4644</td>\n",
+       "      <td>2200.0</td>\n",
+       "      <td>7088.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>201836</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3215</td>\n",
+       "      <td>1349.0</td>\n",
+       "      <td>5081.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>201835</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1506</td>\n",
+       "      <td>239.0</td>\n",
+       "      <td>2773.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>201834</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1368</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>2620.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>201833</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1962</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3919.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>201832</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1839</td>\n",
+       "      <td>183.0</td>\n",
+       "      <td>3495.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>201831</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2048</td>\n",
+       "      <td>242.0</td>\n",
+       "      <td>3854.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>201830</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>202.0</td>\n",
+       "      <td>3700.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>201829</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>252.0</td>\n",
+       "      <td>3650.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>201828</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1654</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>3256.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>201827</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3269</td>\n",
+       "      <td>1145.0</td>\n",
+       "      <td>5393.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>201826</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3758</td>\n",
+       "      <td>1493.0</td>\n",
+       "      <td>6023.0</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>17</th>\n",
+       "      <td>201825</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4580</td>\n",
+       "      <td>2220.0</td>\n",
+       "      <td>6940.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>201824</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3223</td>\n",
+       "      <td>1351.0</td>\n",
+       "      <td>5095.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>201823</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1207</td>\n",
+       "      <td>136.0</td>\n",
+       "      <td>2278.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>201822</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3202</td>\n",
+       "      <td>1330.0</td>\n",
+       "      <td>5074.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>201821</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2537</td>\n",
+       "      <td>763.0</td>\n",
+       "      <td>4311.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>201820</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2694</td>\n",
+       "      <td>967.0</td>\n",
+       "      <td>4421.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>201819</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1025</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2098.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>201818</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3541</td>\n",
+       "      <td>1416.0</td>\n",
+       "      <td>5666.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>201817</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2573</td>\n",
+       "      <td>1003.0</td>\n",
+       "      <td>4143.0</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>26</th>\n",
+       "      <td>201816</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4818</td>\n",
+       "      <td>2724.0</td>\n",
+       "      <td>6912.0</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>27</th>\n",
+       "      <td>201815</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16311</td>\n",
+       "      <td>12168.0</td>\n",
+       "      <td>20454.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>201814</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22666</td>\n",
+       "      <td>18092.0</td>\n",
+       "      <td>27240.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>201813</td>\n",
+       "      <td>3</td>\n",
+       "      <td>32680</td>\n",
+       "      <td>25536.0</td>\n",
+       "      <td>39824.0</td>\n",
+       "      <td>50</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1743</th>\n",
+       "      <td>198521</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26096</td>\n",
+       "      <td>19621.0</td>\n",
+       "      <td>32571.0</td>\n",
+       "      <td>47</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1744</th>\n",
+       "      <td>198520</td>\n",
+       "      <td>3</td>\n",
+       "      <td>27896</td>\n",
+       "      <td>20885.0</td>\n",
+       "      <td>34907.0</td>\n",
+       "      <td>51</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1745</th>\n",
+       "      <td>198519</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43154</td>\n",
+       "      <td>32821.0</td>\n",
+       "      <td>53487.0</td>\n",
+       "      <td>78</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1746</th>\n",
+       "      <td>198518</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40555</td>\n",
+       "      <td>29935.0</td>\n",
+       "      <td>51175.0</td>\n",
+       "      <td>74</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1747</th>\n",
+       "      <td>198517</td>\n",
+       "      <td>3</td>\n",
+       "      <td>34053</td>\n",
+       "      <td>24366.0</td>\n",
+       "      <td>43740.0</td>\n",
+       "      <td>62</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1748</th>\n",
+       "      <td>198516</td>\n",
+       "      <td>3</td>\n",
+       "      <td>50362</td>\n",
+       "      <td>36451.0</td>\n",
+       "      <td>64273.0</td>\n",
+       "      <td>91</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1749</th>\n",
+       "      <td>198515</td>\n",
+       "      <td>3</td>\n",
+       "      <td>63881</td>\n",
+       "      <td>45538.0</td>\n",
+       "      <td>82224.0</td>\n",
+       "      <td>116</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1750</th>\n",
+       "      <td>198514</td>\n",
+       "      <td>3</td>\n",
+       "      <td>134545</td>\n",
+       "      <td>114400.0</td>\n",
+       "      <td>154690.0</td>\n",
+       "      <td>244</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>281.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1751</th>\n",
+       "      <td>198513</td>\n",
+       "      <td>3</td>\n",
+       "      <td>197206</td>\n",
+       "      <td>176080.0</td>\n",
+       "      <td>218332.0</td>\n",
+       "      <td>357</td>\n",
+       "      <td>319.0</td>\n",
+       "      <td>395.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1752</th>\n",
+       "      <td>198512</td>\n",
+       "      <td>3</td>\n",
+       "      <td>245240</td>\n",
+       "      <td>223304.0</td>\n",
+       "      <td>267176.0</td>\n",
+       "      <td>445</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>485.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1753</th>\n",
+       "      <td>198511</td>\n",
+       "      <td>3</td>\n",
+       "      <td>276205</td>\n",
+       "      <td>252399.0</td>\n",
+       "      <td>300011.0</td>\n",
+       "      <td>501</td>\n",
+       "      <td>458.0</td>\n",
+       "      <td>544.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1754</th>\n",
+       "      <td>198510</td>\n",
+       "      <td>3</td>\n",
+       "      <td>353231</td>\n",
+       "      <td>326279.0</td>\n",
+       "      <td>380183.0</td>\n",
+       "      <td>640</td>\n",
+       "      <td>591.0</td>\n",
+       "      <td>689.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1755</th>\n",
+       "      <td>198509</td>\n",
+       "      <td>3</td>\n",
+       "      <td>369895</td>\n",
+       "      <td>341109.0</td>\n",
+       "      <td>398681.0</td>\n",
+       "      <td>670</td>\n",
+       "      <td>618.0</td>\n",
+       "      <td>722.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1756</th>\n",
+       "      <td>198508</td>\n",
+       "      <td>3</td>\n",
+       "      <td>389886</td>\n",
+       "      <td>359529.0</td>\n",
+       "      <td>420243.0</td>\n",
+       "      <td>707</td>\n",
+       "      <td>652.0</td>\n",
+       "      <td>762.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1757</th>\n",
+       "      <td>198507</td>\n",
+       "      <td>3</td>\n",
+       "      <td>471852</td>\n",
+       "      <td>432599.0</td>\n",
+       "      <td>511105.0</td>\n",
+       "      <td>855</td>\n",
+       "      <td>784.0</td>\n",
+       "      <td>926.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1758</th>\n",
+       "      <td>198506</td>\n",
+       "      <td>3</td>\n",
+       "      <td>565825</td>\n",
+       "      <td>518011.0</td>\n",
+       "      <td>613639.0</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>939.0</td>\n",
+       "      <td>1113.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1759</th>\n",
+       "      <td>198505</td>\n",
+       "      <td>3</td>\n",
+       "      <td>637302</td>\n",
+       "      <td>592795.0</td>\n",
+       "      <td>681809.0</td>\n",
+       "      <td>1155</td>\n",
+       "      <td>1074.0</td>\n",
+       "      <td>1236.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1760</th>\n",
+       "      <td>198504</td>\n",
+       "      <td>3</td>\n",
+       "      <td>424937</td>\n",
+       "      <td>390794.0</td>\n",
+       "      <td>459080.0</td>\n",
+       "      <td>770</td>\n",
+       "      <td>708.0</td>\n",
+       "      <td>832.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1761</th>\n",
+       "      <td>198503</td>\n",
+       "      <td>3</td>\n",
+       "      <td>213901</td>\n",
+       "      <td>174689.0</td>\n",
+       "      <td>253113.0</td>\n",
+       "      <td>388</td>\n",
+       "      <td>317.0</td>\n",
+       "      <td>459.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1762</th>\n",
+       "      <td>198502</td>\n",
+       "      <td>3</td>\n",
+       "      <td>97586</td>\n",
+       "      <td>80949.0</td>\n",
+       "      <td>114223.0</td>\n",
+       "      <td>177</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1763</th>\n",
+       "      <td>198501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>85489</td>\n",
+       "      <td>65918.0</td>\n",
+       "      <td>105060.0</td>\n",
+       "      <td>155</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>190.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1764</th>\n",
+       "      <td>198452</td>\n",
+       "      <td>3</td>\n",
+       "      <td>84830</td>\n",
+       "      <td>60602.0</td>\n",
+       "      <td>109058.0</td>\n",
+       "      <td>154</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>198.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1765</th>\n",
+       "      <td>198451</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101726</td>\n",
+       "      <td>80242.0</td>\n",
+       "      <td>123210.0</td>\n",
+       "      <td>185</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>224.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1766</th>\n",
+       "      <td>198450</td>\n",
+       "      <td>3</td>\n",
+       "      <td>123680</td>\n",
+       "      <td>101401.0</td>\n",
+       "      <td>145959.0</td>\n",
+       "      <td>225</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>266.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1767</th>\n",
+       "      <td>198449</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101073</td>\n",
+       "      <td>81684.0</td>\n",
+       "      <td>120462.0</td>\n",
+       "      <td>184</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>219.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1768</th>\n",
+       "      <td>198448</td>\n",
+       "      <td>3</td>\n",
+       "      <td>78620</td>\n",
+       "      <td>60634.0</td>\n",
+       "      <td>96606.0</td>\n",
+       "      <td>143</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>176.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1769</th>\n",
+       "      <td>198447</td>\n",
+       "      <td>3</td>\n",
+       "      <td>72029</td>\n",
+       "      <td>54274.0</td>\n",
+       "      <td>89784.0</td>\n",
+       "      <td>131</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>163.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1770</th>\n",
+       "      <td>198446</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87330</td>\n",
+       "      <td>67686.0</td>\n",
+       "      <td>106974.0</td>\n",
+       "      <td>159</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>195.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1771</th>\n",
+       "      <td>198445</td>\n",
+       "      <td>3</td>\n",
+       "      <td>135223</td>\n",
+       "      <td>101414.0</td>\n",
+       "      <td>169032.0</td>\n",
+       "      <td>246</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>308.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1772</th>\n",
+       "      <td>198444</td>\n",
+       "      <td>3</td>\n",
+       "      <td>68422</td>\n",
+       "      <td>20056.0</td>\n",
+       "      <td>116788.0</td>\n",
+       "      <td>125</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>213.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1773 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up  inc100  inc100_low  \\\n",
+       "0     201842          3    7832    5145.0   10519.0      12         8.0   \n",
+       "1     201841          3    8048    5098.0   10998.0      12         8.0   \n",
+       "2     201840          3    7409    4717.0   10101.0      11         7.0   \n",
+       "3     201839          3    7174    4235.0   10113.0      11         7.0   \n",
+       "4     201838          3    6127    3482.0    8772.0       9         5.0   \n",
+       "5     201837          3    4644    2200.0    7088.0       7         3.0   \n",
+       "6     201836          3    3215    1349.0    5081.0       5         2.0   \n",
+       "7     201835          3    1506     239.0    2773.0       2         0.0   \n",
+       "8     201834          3    1368     116.0    2620.0       2         0.0   \n",
+       "9     201833          3    1962       5.0    3919.0       3         0.0   \n",
+       "10    201832          3    1839     183.0    3495.0       3         0.0   \n",
+       "11    201831          3    2048     242.0    3854.0       3         0.0   \n",
+       "12    201830          3    1951     202.0    3700.0       3         0.0   \n",
+       "13    201829          3    1951     252.0    3650.0       3         0.0   \n",
+       "14    201828          3    1654      52.0    3256.0       3         1.0   \n",
+       "15    201827          3    3269    1145.0    5393.0       5         2.0   \n",
+       "16    201826          3    3758    1493.0    6023.0       6         3.0   \n",
+       "17    201825          3    4580    2220.0    6940.0       7         3.0   \n",
+       "18    201824          3    3223    1351.0    5095.0       5         2.0   \n",
+       "19    201823          3    1207     136.0    2278.0       2         0.0   \n",
+       "20    201822          3    3202    1330.0    5074.0       5         2.0   \n",
+       "21    201821          3    2537     763.0    4311.0       4         1.0   \n",
+       "22    201820          3    2694     967.0    4421.0       4         1.0   \n",
+       "23    201819          3    1025       0.0    2098.0       2         0.0   \n",
+       "24    201818          3    3541    1416.0    5666.0       5         2.0   \n",
+       "25    201817          3    2573    1003.0    4143.0       4         2.0   \n",
+       "26    201816          3    4818    2724.0    6912.0       7         4.0   \n",
+       "27    201815          3   16311   12168.0   20454.0      25        19.0   \n",
+       "28    201814          3   22666   18092.0   27240.0      35        28.0   \n",
+       "29    201813          3   32680   25536.0   39824.0      50        39.0   \n",
+       "...      ...        ...     ...       ...       ...     ...         ...   \n",
+       "1743  198521          3   26096   19621.0   32571.0      47        35.0   \n",
+       "1744  198520          3   27896   20885.0   34907.0      51        38.0   \n",
+       "1745  198519          3   43154   32821.0   53487.0      78        59.0   \n",
+       "1746  198518          3   40555   29935.0   51175.0      74        55.0   \n",
+       "1747  198517          3   34053   24366.0   43740.0      62        44.0   \n",
+       "1748  198516          3   50362   36451.0   64273.0      91        66.0   \n",
+       "1749  198515          3   63881   45538.0   82224.0     116        83.0   \n",
+       "1750  198514          3  134545  114400.0  154690.0     244       207.0   \n",
+       "1751  198513          3  197206  176080.0  218332.0     357       319.0   \n",
+       "1752  198512          3  245240  223304.0  267176.0     445       405.0   \n",
+       "1753  198511          3  276205  252399.0  300011.0     501       458.0   \n",
+       "1754  198510          3  353231  326279.0  380183.0     640       591.0   \n",
+       "1755  198509          3  369895  341109.0  398681.0     670       618.0   \n",
+       "1756  198508          3  389886  359529.0  420243.0     707       652.0   \n",
+       "1757  198507          3  471852  432599.0  511105.0     855       784.0   \n",
+       "1758  198506          3  565825  518011.0  613639.0    1026       939.0   \n",
+       "1759  198505          3  637302  592795.0  681809.0    1155      1074.0   \n",
+       "1760  198504          3  424937  390794.0  459080.0     770       708.0   \n",
+       "1761  198503          3  213901  174689.0  253113.0     388       317.0   \n",
+       "1762  198502          3   97586   80949.0  114223.0     177       147.0   \n",
+       "1763  198501          3   85489   65918.0  105060.0     155       120.0   \n",
+       "1764  198452          3   84830   60602.0  109058.0     154       110.0   \n",
+       "1765  198451          3  101726   80242.0  123210.0     185       146.0   \n",
+       "1766  198450          3  123680  101401.0  145959.0     225       184.0   \n",
+       "1767  198449          3  101073   81684.0  120462.0     184       149.0   \n",
+       "1768  198448          3   78620   60634.0   96606.0     143       110.0   \n",
+       "1769  198447          3   72029   54274.0   89784.0     131        99.0   \n",
+       "1770  198446          3   87330   67686.0  106974.0     159       123.0   \n",
+       "1771  198445          3  135223  101414.0  169032.0     246       184.0   \n",
+       "1772  198444          3   68422   20056.0  116788.0     125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0          16.0        FR   France  \n",
+       "1          16.0        FR   France  \n",
+       "2          15.0        FR   France  \n",
+       "3          15.0        FR   France  \n",
+       "4          13.0        FR   France  \n",
+       "5          11.0        FR   France  \n",
+       "6           8.0        FR   France  \n",
+       "7           4.0        FR   France  \n",
+       "8           4.0        FR   France  \n",
+       "9           6.0        FR   France  \n",
+       "10          6.0        FR   France  \n",
+       "11          6.0        FR   France  \n",
+       "12          6.0        FR   France  \n",
+       "13          6.0        FR   France  \n",
+       "14          5.0        FR   France  \n",
+       "15          8.0        FR   France  \n",
+       "16          9.0        FR   France  \n",
+       "17         11.0        FR   France  \n",
+       "18          8.0        FR   France  \n",
+       "19          4.0        FR   France  \n",
+       "20          8.0        FR   France  \n",
+       "21          7.0        FR   France  \n",
+       "22          7.0        FR   France  \n",
+       "23          4.0        FR   France  \n",
+       "24          8.0        FR   France  \n",
+       "25          6.0        FR   France  \n",
+       "26         10.0        FR   France  \n",
+       "27         31.0        FR   France  \n",
+       "28         42.0        FR   France  \n",
+       "29         61.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1743       59.0        FR   France  \n",
+       "1744       64.0        FR   France  \n",
+       "1745       97.0        FR   France  \n",
+       "1746       93.0        FR   France  \n",
+       "1747       80.0        FR   France  \n",
+       "1748      116.0        FR   France  \n",
+       "1749      149.0        FR   France  \n",
+       "1750      281.0        FR   France  \n",
+       "1751      395.0        FR   France  \n",
+       "1752      485.0        FR   France  \n",
+       "1753      544.0        FR   France  \n",
+       "1754      689.0        FR   France  \n",
+       "1755      722.0        FR   France  \n",
+       "1756      762.0        FR   France  \n",
+       "1757      926.0        FR   France  \n",
+       "1758     1113.0        FR   France  \n",
+       "1759     1236.0        FR   France  \n",
+       "1760      832.0        FR   France  \n",
+       "1761      459.0        FR   France  \n",
+       "1762      207.0        FR   France  \n",
+       "1763      190.0        FR   France  \n",
+       "1764      198.0        FR   France  \n",
+       "1765      224.0        FR   France  \n",
+       "1766      266.0        FR   France  \n",
+       "1767      219.0        FR   France  \n",
+       "1768      176.0        FR   France  \n",
+       "1769      163.0        FR   France  \n",
+       "1770      195.0        FR   France  \n",
+       "1771      308.0        FR   France  \n",
+       "1772      213.0        FR   France  \n",
+       "\n",
+       "[1773 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data = pd.read_csv(data_url, encoding = 'iso-8859-1', skiprows=1)\n",
+    "raw_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Y a-t-il des points manquants dans ce jeux de données ? Oui, la semaine 19 de l'année 1989 n'a pas de valeurs associées."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\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>1536</th>\n",
+       "      <td>198919</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator  inc  inc_low  inc_up  inc100  inc100_low  inc100_up  \\\n",
+       "1536  198919          3    0      NaN     NaN       0         NaN        NaN   \n",
+       "\n",
+       "     geo_insee geo_name  \n",
+       "1536        FR   France  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data[raw_data.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nous éliminons ce point, ce qui n'a pas d'impact fort sur notre analyse qui est assez simple."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\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>201842</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7832</td>\n",
+       "      <td>5145.0</td>\n",
+       "      <td>10519.0</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>1</th>\n",
+       "      <td>201841</td>\n",
+       "      <td>3</td>\n",
+       "      <td>8048</td>\n",
+       "      <td>5098.0</td>\n",
+       "      <td>10998.0</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>2</th>\n",
+       "      <td>201840</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7409</td>\n",
+       "      <td>4717.0</td>\n",
+       "      <td>10101.0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>201839</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7174</td>\n",
+       "      <td>4235.0</td>\n",
+       "      <td>10113.0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>201838</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6127</td>\n",
+       "      <td>3482.0</td>\n",
+       "      <td>8772.0</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>5</th>\n",
+       "      <td>201837</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4644</td>\n",
+       "      <td>2200.0</td>\n",
+       "      <td>7088.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>201836</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3215</td>\n",
+       "      <td>1349.0</td>\n",
+       "      <td>5081.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>201835</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1506</td>\n",
+       "      <td>239.0</td>\n",
+       "      <td>2773.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>201834</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1368</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>2620.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>201833</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1962</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3919.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>201832</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1839</td>\n",
+       "      <td>183.0</td>\n",
+       "      <td>3495.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>201831</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2048</td>\n",
+       "      <td>242.0</td>\n",
+       "      <td>3854.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>201830</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>202.0</td>\n",
+       "      <td>3700.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>201829</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>252.0</td>\n",
+       "      <td>3650.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>201828</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1654</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>3256.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>201827</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3269</td>\n",
+       "      <td>1145.0</td>\n",
+       "      <td>5393.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>201826</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3758</td>\n",
+       "      <td>1493.0</td>\n",
+       "      <td>6023.0</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>17</th>\n",
+       "      <td>201825</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4580</td>\n",
+       "      <td>2220.0</td>\n",
+       "      <td>6940.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>201824</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3223</td>\n",
+       "      <td>1351.0</td>\n",
+       "      <td>5095.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>201823</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1207</td>\n",
+       "      <td>136.0</td>\n",
+       "      <td>2278.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>201822</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3202</td>\n",
+       "      <td>1330.0</td>\n",
+       "      <td>5074.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>201821</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2537</td>\n",
+       "      <td>763.0</td>\n",
+       "      <td>4311.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>201820</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2694</td>\n",
+       "      <td>967.0</td>\n",
+       "      <td>4421.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>201819</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1025</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2098.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>201818</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3541</td>\n",
+       "      <td>1416.0</td>\n",
+       "      <td>5666.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>201817</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2573</td>\n",
+       "      <td>1003.0</td>\n",
+       "      <td>4143.0</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>26</th>\n",
+       "      <td>201816</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4818</td>\n",
+       "      <td>2724.0</td>\n",
+       "      <td>6912.0</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>27</th>\n",
+       "      <td>201815</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16311</td>\n",
+       "      <td>12168.0</td>\n",
+       "      <td>20454.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>201814</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22666</td>\n",
+       "      <td>18092.0</td>\n",
+       "      <td>27240.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>201813</td>\n",
+       "      <td>3</td>\n",
+       "      <td>32680</td>\n",
+       "      <td>25536.0</td>\n",
+       "      <td>39824.0</td>\n",
+       "      <td>50</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1743</th>\n",
+       "      <td>198521</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26096</td>\n",
+       "      <td>19621.0</td>\n",
+       "      <td>32571.0</td>\n",
+       "      <td>47</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1744</th>\n",
+       "      <td>198520</td>\n",
+       "      <td>3</td>\n",
+       "      <td>27896</td>\n",
+       "      <td>20885.0</td>\n",
+       "      <td>34907.0</td>\n",
+       "      <td>51</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1745</th>\n",
+       "      <td>198519</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43154</td>\n",
+       "      <td>32821.0</td>\n",
+       "      <td>53487.0</td>\n",
+       "      <td>78</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1746</th>\n",
+       "      <td>198518</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40555</td>\n",
+       "      <td>29935.0</td>\n",
+       "      <td>51175.0</td>\n",
+       "      <td>74</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1747</th>\n",
+       "      <td>198517</td>\n",
+       "      <td>3</td>\n",
+       "      <td>34053</td>\n",
+       "      <td>24366.0</td>\n",
+       "      <td>43740.0</td>\n",
+       "      <td>62</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1748</th>\n",
+       "      <td>198516</td>\n",
+       "      <td>3</td>\n",
+       "      <td>50362</td>\n",
+       "      <td>36451.0</td>\n",
+       "      <td>64273.0</td>\n",
+       "      <td>91</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1749</th>\n",
+       "      <td>198515</td>\n",
+       "      <td>3</td>\n",
+       "      <td>63881</td>\n",
+       "      <td>45538.0</td>\n",
+       "      <td>82224.0</td>\n",
+       "      <td>116</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1750</th>\n",
+       "      <td>198514</td>\n",
+       "      <td>3</td>\n",
+       "      <td>134545</td>\n",
+       "      <td>114400.0</td>\n",
+       "      <td>154690.0</td>\n",
+       "      <td>244</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>281.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1751</th>\n",
+       "      <td>198513</td>\n",
+       "      <td>3</td>\n",
+       "      <td>197206</td>\n",
+       "      <td>176080.0</td>\n",
+       "      <td>218332.0</td>\n",
+       "      <td>357</td>\n",
+       "      <td>319.0</td>\n",
+       "      <td>395.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1752</th>\n",
+       "      <td>198512</td>\n",
+       "      <td>3</td>\n",
+       "      <td>245240</td>\n",
+       "      <td>223304.0</td>\n",
+       "      <td>267176.0</td>\n",
+       "      <td>445</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>485.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1753</th>\n",
+       "      <td>198511</td>\n",
+       "      <td>3</td>\n",
+       "      <td>276205</td>\n",
+       "      <td>252399.0</td>\n",
+       "      <td>300011.0</td>\n",
+       "      <td>501</td>\n",
+       "      <td>458.0</td>\n",
+       "      <td>544.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1754</th>\n",
+       "      <td>198510</td>\n",
+       "      <td>3</td>\n",
+       "      <td>353231</td>\n",
+       "      <td>326279.0</td>\n",
+       "      <td>380183.0</td>\n",
+       "      <td>640</td>\n",
+       "      <td>591.0</td>\n",
+       "      <td>689.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1755</th>\n",
+       "      <td>198509</td>\n",
+       "      <td>3</td>\n",
+       "      <td>369895</td>\n",
+       "      <td>341109.0</td>\n",
+       "      <td>398681.0</td>\n",
+       "      <td>670</td>\n",
+       "      <td>618.0</td>\n",
+       "      <td>722.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1756</th>\n",
+       "      <td>198508</td>\n",
+       "      <td>3</td>\n",
+       "      <td>389886</td>\n",
+       "      <td>359529.0</td>\n",
+       "      <td>420243.0</td>\n",
+       "      <td>707</td>\n",
+       "      <td>652.0</td>\n",
+       "      <td>762.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1757</th>\n",
+       "      <td>198507</td>\n",
+       "      <td>3</td>\n",
+       "      <td>471852</td>\n",
+       "      <td>432599.0</td>\n",
+       "      <td>511105.0</td>\n",
+       "      <td>855</td>\n",
+       "      <td>784.0</td>\n",
+       "      <td>926.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1758</th>\n",
+       "      <td>198506</td>\n",
+       "      <td>3</td>\n",
+       "      <td>565825</td>\n",
+       "      <td>518011.0</td>\n",
+       "      <td>613639.0</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>939.0</td>\n",
+       "      <td>1113.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1759</th>\n",
+       "      <td>198505</td>\n",
+       "      <td>3</td>\n",
+       "      <td>637302</td>\n",
+       "      <td>592795.0</td>\n",
+       "      <td>681809.0</td>\n",
+       "      <td>1155</td>\n",
+       "      <td>1074.0</td>\n",
+       "      <td>1236.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1760</th>\n",
+       "      <td>198504</td>\n",
+       "      <td>3</td>\n",
+       "      <td>424937</td>\n",
+       "      <td>390794.0</td>\n",
+       "      <td>459080.0</td>\n",
+       "      <td>770</td>\n",
+       "      <td>708.0</td>\n",
+       "      <td>832.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1761</th>\n",
+       "      <td>198503</td>\n",
+       "      <td>3</td>\n",
+       "      <td>213901</td>\n",
+       "      <td>174689.0</td>\n",
+       "      <td>253113.0</td>\n",
+       "      <td>388</td>\n",
+       "      <td>317.0</td>\n",
+       "      <td>459.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1762</th>\n",
+       "      <td>198502</td>\n",
+       "      <td>3</td>\n",
+       "      <td>97586</td>\n",
+       "      <td>80949.0</td>\n",
+       "      <td>114223.0</td>\n",
+       "      <td>177</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1763</th>\n",
+       "      <td>198501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>85489</td>\n",
+       "      <td>65918.0</td>\n",
+       "      <td>105060.0</td>\n",
+       "      <td>155</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>190.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1764</th>\n",
+       "      <td>198452</td>\n",
+       "      <td>3</td>\n",
+       "      <td>84830</td>\n",
+       "      <td>60602.0</td>\n",
+       "      <td>109058.0</td>\n",
+       "      <td>154</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>198.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1765</th>\n",
+       "      <td>198451</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101726</td>\n",
+       "      <td>80242.0</td>\n",
+       "      <td>123210.0</td>\n",
+       "      <td>185</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>224.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1766</th>\n",
+       "      <td>198450</td>\n",
+       "      <td>3</td>\n",
+       "      <td>123680</td>\n",
+       "      <td>101401.0</td>\n",
+       "      <td>145959.0</td>\n",
+       "      <td>225</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>266.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1767</th>\n",
+       "      <td>198449</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101073</td>\n",
+       "      <td>81684.0</td>\n",
+       "      <td>120462.0</td>\n",
+       "      <td>184</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>219.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1768</th>\n",
+       "      <td>198448</td>\n",
+       "      <td>3</td>\n",
+       "      <td>78620</td>\n",
+       "      <td>60634.0</td>\n",
+       "      <td>96606.0</td>\n",
+       "      <td>143</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>176.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1769</th>\n",
+       "      <td>198447</td>\n",
+       "      <td>3</td>\n",
+       "      <td>72029</td>\n",
+       "      <td>54274.0</td>\n",
+       "      <td>89784.0</td>\n",
+       "      <td>131</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>163.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1770</th>\n",
+       "      <td>198446</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87330</td>\n",
+       "      <td>67686.0</td>\n",
+       "      <td>106974.0</td>\n",
+       "      <td>159</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>195.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1771</th>\n",
+       "      <td>198445</td>\n",
+       "      <td>3</td>\n",
+       "      <td>135223</td>\n",
+       "      <td>101414.0</td>\n",
+       "      <td>169032.0</td>\n",
+       "      <td>246</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>308.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1772</th>\n",
+       "      <td>198444</td>\n",
+       "      <td>3</td>\n",
+       "      <td>68422</td>\n",
+       "      <td>20056.0</td>\n",
+       "      <td>116788.0</td>\n",
+       "      <td>125</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>213.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1772 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up  inc100  inc100_low  \\\n",
+       "0     201842          3    7832    5145.0   10519.0      12         8.0   \n",
+       "1     201841          3    8048    5098.0   10998.0      12         8.0   \n",
+       "2     201840          3    7409    4717.0   10101.0      11         7.0   \n",
+       "3     201839          3    7174    4235.0   10113.0      11         7.0   \n",
+       "4     201838          3    6127    3482.0    8772.0       9         5.0   \n",
+       "5     201837          3    4644    2200.0    7088.0       7         3.0   \n",
+       "6     201836          3    3215    1349.0    5081.0       5         2.0   \n",
+       "7     201835          3    1506     239.0    2773.0       2         0.0   \n",
+       "8     201834          3    1368     116.0    2620.0       2         0.0   \n",
+       "9     201833          3    1962       5.0    3919.0       3         0.0   \n",
+       "10    201832          3    1839     183.0    3495.0       3         0.0   \n",
+       "11    201831          3    2048     242.0    3854.0       3         0.0   \n",
+       "12    201830          3    1951     202.0    3700.0       3         0.0   \n",
+       "13    201829          3    1951     252.0    3650.0       3         0.0   \n",
+       "14    201828          3    1654      52.0    3256.0       3         1.0   \n",
+       "15    201827          3    3269    1145.0    5393.0       5         2.0   \n",
+       "16    201826          3    3758    1493.0    6023.0       6         3.0   \n",
+       "17    201825          3    4580    2220.0    6940.0       7         3.0   \n",
+       "18    201824          3    3223    1351.0    5095.0       5         2.0   \n",
+       "19    201823          3    1207     136.0    2278.0       2         0.0   \n",
+       "20    201822          3    3202    1330.0    5074.0       5         2.0   \n",
+       "21    201821          3    2537     763.0    4311.0       4         1.0   \n",
+       "22    201820          3    2694     967.0    4421.0       4         1.0   \n",
+       "23    201819          3    1025       0.0    2098.0       2         0.0   \n",
+       "24    201818          3    3541    1416.0    5666.0       5         2.0   \n",
+       "25    201817          3    2573    1003.0    4143.0       4         2.0   \n",
+       "26    201816          3    4818    2724.0    6912.0       7         4.0   \n",
+       "27    201815          3   16311   12168.0   20454.0      25        19.0   \n",
+       "28    201814          3   22666   18092.0   27240.0      35        28.0   \n",
+       "29    201813          3   32680   25536.0   39824.0      50        39.0   \n",
+       "...      ...        ...     ...       ...       ...     ...         ...   \n",
+       "1743  198521          3   26096   19621.0   32571.0      47        35.0   \n",
+       "1744  198520          3   27896   20885.0   34907.0      51        38.0   \n",
+       "1745  198519          3   43154   32821.0   53487.0      78        59.0   \n",
+       "1746  198518          3   40555   29935.0   51175.0      74        55.0   \n",
+       "1747  198517          3   34053   24366.0   43740.0      62        44.0   \n",
+       "1748  198516          3   50362   36451.0   64273.0      91        66.0   \n",
+       "1749  198515          3   63881   45538.0   82224.0     116        83.0   \n",
+       "1750  198514          3  134545  114400.0  154690.0     244       207.0   \n",
+       "1751  198513          3  197206  176080.0  218332.0     357       319.0   \n",
+       "1752  198512          3  245240  223304.0  267176.0     445       405.0   \n",
+       "1753  198511          3  276205  252399.0  300011.0     501       458.0   \n",
+       "1754  198510          3  353231  326279.0  380183.0     640       591.0   \n",
+       "1755  198509          3  369895  341109.0  398681.0     670       618.0   \n",
+       "1756  198508          3  389886  359529.0  420243.0     707       652.0   \n",
+       "1757  198507          3  471852  432599.0  511105.0     855       784.0   \n",
+       "1758  198506          3  565825  518011.0  613639.0    1026       939.0   \n",
+       "1759  198505          3  637302  592795.0  681809.0    1155      1074.0   \n",
+       "1760  198504          3  424937  390794.0  459080.0     770       708.0   \n",
+       "1761  198503          3  213901  174689.0  253113.0     388       317.0   \n",
+       "1762  198502          3   97586   80949.0  114223.0     177       147.0   \n",
+       "1763  198501          3   85489   65918.0  105060.0     155       120.0   \n",
+       "1764  198452          3   84830   60602.0  109058.0     154       110.0   \n",
+       "1765  198451          3  101726   80242.0  123210.0     185       146.0   \n",
+       "1766  198450          3  123680  101401.0  145959.0     225       184.0   \n",
+       "1767  198449          3  101073   81684.0  120462.0     184       149.0   \n",
+       "1768  198448          3   78620   60634.0   96606.0     143       110.0   \n",
+       "1769  198447          3   72029   54274.0   89784.0     131        99.0   \n",
+       "1770  198446          3   87330   67686.0  106974.0     159       123.0   \n",
+       "1771  198445          3  135223  101414.0  169032.0     246       184.0   \n",
+       "1772  198444          3   68422   20056.0  116788.0     125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0          16.0        FR   France  \n",
+       "1          16.0        FR   France  \n",
+       "2          15.0        FR   France  \n",
+       "3          15.0        FR   France  \n",
+       "4          13.0        FR   France  \n",
+       "5          11.0        FR   France  \n",
+       "6           8.0        FR   France  \n",
+       "7           4.0        FR   France  \n",
+       "8           4.0        FR   France  \n",
+       "9           6.0        FR   France  \n",
+       "10          6.0        FR   France  \n",
+       "11          6.0        FR   France  \n",
+       "12          6.0        FR   France  \n",
+       "13          6.0        FR   France  \n",
+       "14          5.0        FR   France  \n",
+       "15          8.0        FR   France  \n",
+       "16          9.0        FR   France  \n",
+       "17         11.0        FR   France  \n",
+       "18          8.0        FR   France  \n",
+       "19          4.0        FR   France  \n",
+       "20          8.0        FR   France  \n",
+       "21          7.0        FR   France  \n",
+       "22          7.0        FR   France  \n",
+       "23          4.0        FR   France  \n",
+       "24          8.0        FR   France  \n",
+       "25          6.0        FR   France  \n",
+       "26         10.0        FR   France  \n",
+       "27         31.0        FR   France  \n",
+       "28         42.0        FR   France  \n",
+       "29         61.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1743       59.0        FR   France  \n",
+       "1744       64.0        FR   France  \n",
+       "1745       97.0        FR   France  \n",
+       "1746       93.0        FR   France  \n",
+       "1747       80.0        FR   France  \n",
+       "1748      116.0        FR   France  \n",
+       "1749      149.0        FR   France  \n",
+       "1750      281.0        FR   France  \n",
+       "1751      395.0        FR   France  \n",
+       "1752      485.0        FR   France  \n",
+       "1753      544.0        FR   France  \n",
+       "1754      689.0        FR   France  \n",
+       "1755      722.0        FR   France  \n",
+       "1756      762.0        FR   France  \n",
+       "1757      926.0        FR   France  \n",
+       "1758     1113.0        FR   France  \n",
+       "1759     1236.0        FR   France  \n",
+       "1760      832.0        FR   France  \n",
+       "1761      459.0        FR   France  \n",
+       "1762      207.0        FR   France  \n",
+       "1763      190.0        FR   France  \n",
+       "1764      198.0        FR   France  \n",
+       "1765      224.0        FR   France  \n",
+       "1766      266.0        FR   France  \n",
+       "1767      219.0        FR   France  \n",
+       "1768      176.0        FR   France  \n",
+       "1769      163.0        FR   France  \n",
+       "1770      195.0        FR   France  \n",
+       "1771      308.0        FR   France  \n",
+       "1772      213.0        FR   France  \n",
+       "\n",
+       "[1772 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = raw_data.dropna().copy()\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nos données utilisent une convention inhabituelle: le numéro de\n",
+    "semaine est collé à l'année, donnant l'impression qu'il s'agit\n",
+    "de nombre entier. C'est comme ça que Pandas les interprète.\n",
+    "  \n",
+    "Un deuxième problème est que Pandas ne comprend pas les numéros de\n",
+    "semaine.  Il faut lui fournir les dates de début et de fin de\n",
+    "semaine. Nous utilisons pour cela la bibliothèque `isoweek`.\n",
+    "\n",
+    "Comme la conversion des semaines est devenu assez complexe, nous\n",
+    "écrivons une petite fonction Python pour cela. Ensuite, nous\n",
+    "l'appliquons à tous les points de nos donnés. Les résultats vont\n",
+    "dans une nouvelle colonne 'period'."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "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": "markdown",
+   "metadata": {},
+   "source": [
+    "Il restent deux petites modifications à faire.\n",
+    "\n",
+    "Premièrement, nous définissons les périodes d'observation\n",
+    "comme nouvel index de notre jeux de données. Ceci en fait\n",
+    "une suite chronologique, ce qui sera pratique par la suite.\n",
+    "\n",
+    "Deuxièmement, nous trions les points par période, dans\n",
+    "le sens chronologique."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "sorted_data = data.set_index('period').sort_index()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nous vérifions la cohérence des données. Entre la fin d'une période et\n",
+    "le début de la période qui suit, la différence temporelle doit être\n",
+    "zéro, ou au moins très faible. Nous laissons une \"marge d'erreur\"\n",
+    "d'une seconde.\n",
+    "\n",
+    "Ceci s'avère tout à fait juste sauf pour deux périodes consécutives\n",
+    "entre lesquelles il manque une semaine.\n",
+    "\n",
+    "Nous reconnaissons ces dates: c'est la semaine sans observations\n",
+    "que nous avions supprimées !"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n"
+     ]
+    }
+   ],
+   "source": [
+    "periods = sorted_data.index\n",
+    "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
+    "    delta = p2.to_timestamp() - p1.end_time\n",
+    "    if delta > pd.Timedelta('1s'):\n",
+    "        print(p1, p2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Un premier regard sur les données !"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x1198af710>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAEPCAYAAAC+35gCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYRiGYQRjomEYhmEE8/8B7bUFBeO7tZIAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1175beef0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data['inc'].plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Un zoom sur les dernières années montre mieux la situation des pics en hiver. Le creux des incidences se trouve en été."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11bc57c18>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEbCAYAAAAxukhGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XmYXFWd//H3NytJSGLCEsjGmiDIomEIyDIWa0BHYJ4Z\nEIVJkDjjCI7jjDMj0ZEk8hsQfBQUBVFRAoYlMirIliamWwfZErYAwWwkkHQWQpLuLGTv7++Pc4tU\nurq6blXXXp/X8+RJ9alzb5+6XVXf+z3n3HPN3REREUnVrdwNEBGRyqPgICIiaRQcREQkjYKDiIik\nUXAQEZE0Cg4iIpImVnAws4Fm9msze9PM3jCzk81skJk1mNkCM5tpZgNT6k8ys0VR/fNSyseY2Twz\nW2hmt6aU9zKzB6JtnjWzkSnPTYjqLzCz8YV64SIiklnczOEHwOPufjRwAvAX4FpglrsfBcwGJgGY\n2THApcDRwAXA7WZm0X7uACa6+2hgtJmNi8onAuvdfRRwK3BztK9BwHXAScDJwOTUICQiIsWRNTiY\n2QDgDHf/JYC773L3VuAiYFpUbRpwcfT4QuCBqN4yYBEw1swOAvq7+5yo3j0p26Tu6yHgrOjxOKDB\n3VvdvQVoAM7P65WKiEhscTKHw4D3zOyXZvaSmf3UzPoCQ9x9DYC7rwYOjOoPA5anbN8clQ0DVqSU\nr4jK9trG3XcDrWY2uJN9iYhIEcUJDj2AMcCP3X0MsIXQpdR+3Y1CrsNh2auIiEix9IhRZwWw3N3n\nRj//LyE4rDGzIe6+Juoyejd6vhkYkbL98KgsU3nqNivNrDswwN3Xm1kzkGi3TWP7BpqZFogSEcmD\nu3d4Mp41c4i6jpab2eio6GzgDeAR4MqobALwcPT4EeCyaAbSYcCRwAtR11OrmY2NBqjHt9tmQvT4\nEsIAN8BM4NxottQg4NyorKN2MnnyZNy9w3/5PleubYux32z7rLQ2daW9xXqtxWpTufZbSe/PYu63\nGG2qtvdYR3U6EydzAPgKMN3MegJvAZ8HugMzzOwq4G3CDCXcfb6ZzQDmAzuBq31PK64B7gb2Icx+\nejIqvwu418wWAeuAy6J9bTCz64G5hG6rqR4GpnOWSCTyeq5c2xZjv9n2GbdOPtvm06autLerr7UY\n++3Ksc13v9X0/izmfrMpx+epXO+x2McpW5Sphn/hZbhPnjzZpXh0fItHx7b4dIzTRd+dHX6v1tQV\n0l09M5PO6fgWj45t8ekY58Y8S79TNTAzr4XXISJSSmaG5zsgLSIi9UfBQURE0ig4iIhIGgUHERFJ\no+AgIiJpFBxERCSNgoOIiKRRcBARkTQKDiIikkbBQURE0ig4iIhIGgUHERFJo+AgIiJpFBxERCSN\ngoOIiKRRcBARkTQKDiIikkbBQURE0tRVcJg0CbZvL3crREQqX93cQ7qtDXr0gIYGOOecEjVMRKSC\n6R7SwKZN4A6PP17uloiIVL66CQ4tLdCtGzz2WLlbIiJS+eomOLS2wtFHw8aNsHhxuVsjIlLZ6io4\nfOhD8MlPwhNPlLs1IiKVrW6CQ0tLCA7jxsGsWeVujYhIZaub4NDaCgMHwsEHw7p15W6NiEhlixUc\nzGyZmb1qZi+b2QtR2SAzazCzBWY208wGptSfZGaLzOxNMzsvpXyMmc0zs4VmdmtKeS8zeyDa5lkz\nG5ny3ISo/gIzG5/vC012K/XrB1u25LsXEZH6EDdzaAMS7v4xdx8blV0LzHL3o4DZwCQAMzsGuBQ4\nGrgAuN3MkvNo7wAmuvtoYLSZjYvKJwLr3X0UcCtwc7SvQcB1wEnAycDk1CCUi5aWkDn07Qvvv5/P\nHkRE6kfc4GAd1L0ImBY9ngZcHD2+EHjA3Xe5+zJgETDWzA4C+rv7nKjePSnbpO7rIeCs6PE4oMHd\nW929BWgAzo/Z5r0ku5WUOYiIZBc3ODjwlJnNMbMvRGVD3H0NgLuvBg6MyocBy1O2bY7KhgErUspX\nRGV7bePuu4FWMxvcyb5ylhyQVnAQEcmuR8x6p7n7KjM7AGgwswWEgJGqkOtwdHg5d1cocxARiS9W\ncHD3VdH/a83sd8BYYI2ZDXH3NVGX0btR9WZgRMrmw6OyTOWp26w0s+7AAHdfb2bNQKLdNo0dtXHK\nlCkfPE4kEiQSib2eTwaHXr1g927YuRN69ozz6kVEakNTUxNNTU2x6mZdeM/M+gLd3H2zmfUj9PtP\nBc4mDCLfZGZfBwa5+7XRgPR0wgDyMOApYJS7u5k9B3wFmAM8BvzQ3Z80s6uBY939ajO7DLjY3S+L\nBqTnAmMIXWBzgROj8YfUNmZdeO+UU+CWW+DjH4cBA2D58hAsRETqVWcL78XJHIYAvzUzj+pPd/cG\nM5sLzDCzq4C3CTOUcPf5ZjYDmA/sBK5O+ea+Brgb2Ad43N2fjMrvAu41s0XAOuCyaF8bzOx6QlBw\nYGr7wBBXMnOAPV1LCg4iIh2rmyW7hw6FOXNg2DA48siwhMaoUSVqoIhIBdKS3eyZrQS61kFEJJu6\nCA47d4Z/ffuGnzVjSUSkc3URHFpbwyB08jptBQcRkc7VRXBI7VICBQcRkWzqIjikzlQCjTmIiGRT\nl8FBmYOISOfqIjioW0lEJDd1ERyUOYiI5KYugkPyXg5JGnMQEelcXQSH5F3gkpQ5iIh0rm6Cg7qV\nRETiq4vg0L5bScFBRKRzdREc3n9/z9IZoDEHEZFs6iI4bN8OvXvv+VmZg4hI5xQcREQkjYKDiIik\nqcvgoDEHEZHO1WVwUOYgItI5BQcREUlTl8Ghb98QHGrg9tkiIkVRl8GhV69wV7idO8vXJhGRSlaX\nwQHUtSQi0hkFBxERSVO3wSE57iAiIunqNjj066drHUREMqn54LB7d5iV1KPH3uXqVhIRyazmg0My\nazDbu1zBQUQks7oJDu1pzEFEJLO6DQ4acxARySx2cDCzbmb2kpk9Ev08yMwazGyBmc00s4EpdSeZ\n2SIze9PMzkspH2Nm88xsoZndmlLey8weiLZ51sxGpjw3Iaq/wMzG5/oCOwsOyhxERDqWS+bwr8D8\nlJ+vBWa5+1HAbGASgJkdA1wKHA1cANxu9kGP/x3ARHcfDYw2s3FR+URgvbuPAm4Fbo72NQi4DjgJ\nOBmYnBqE4sgUHHr3Ds+JiEi6WMHBzIYDnwR+nlJ8ETAtejwNuDh6fCHwgLvvcvdlwCJgrJkdBPR3\n9zlRvXtStknd10PAWdHjcUCDu7e6ewvQAJwf/+UpOIiI5CNu5nAL8J9A6lJ1Q9x9DYC7rwYOjMqH\nActT6jVHZcOAFSnlK6KyvbZx991Aq5kN7mRfsSk4iIjkrke2Cmb2KWCNu79iZolOqhZyjVPLXmVv\nU6ZM+eBxIpEgkUgACg4iIklNTU00NTXFqps1OACnARea2SeBPkB/M7sXWG1mQ9x9TdRl9G5UvxkY\nkbL98KgsU3nqNivNrDswwN3Xm1kzkGi3TWNHjUwNDqk6Cw6bN2d4xSIiNSj1xBlg6tSpGetm7VZy\n92+4+0h3Pxy4DJjt7v8A/B64Mqo2AXg4evwIcFk0A+kw4EjghajrqdXMxkYD1OPbbTMhenwJYYAb\nYCZwrpkNjAanz43KYssUHHr1gh07ctmTiEj9iJM5ZPIdYIaZXQW8TZihhLvPN7MZhJlNO4Gr3T+4\nrc41wN3APsDj7v5kVH4XcK+ZLQLWEYIQ7r7BzK4H5hK6raZGA9OxqVtJRCR3OQUHd/8j8Mfo8Xrg\nnAz1bgRu7KD8ReC4Dsq3EwWXDp67mxBQ8qLgICKSu7q9QlrBQUQks7oNDhpzEBHJrG6DgzIHEZHM\nFBxERCSNgoOIiKSp6+CgMQcRkY7VbXDo1UuZg4hIJnUbHNStJCKSmYKDiIikqevgoDEHEZGO1W1w\n0JiDiEhmdRsc1K0kIpKZgoOIiKSp6+CgMQcRkY7VbXDo0QPcYffu0rdJRKTS1W1wAA1Ki4hkUtfB\nQeMOIiIdq/vgoHEHEZF0dR8clDmIiKSr6+CgMQcRkY7VdXBQ5iAi0rG6Dw4acxARSVf3wUGZg4hI\nupoODu4hM9CYg4hIbmo6OOzcCd27Q7cMr1KZg4hIx2o6OHTWpQQKDiIimdR9cNCAtIhIuroPDsoc\nRETSZQ0OZtbbzJ43s5fN7DUzmxyVDzKzBjNbYGYzzWxgyjaTzGyRmb1pZuellI8xs3lmttDMbk0p\n72VmD0TbPGtmI1OemxDVX2Bm43N5cdmCgwakRUQ6ljU4uPt24Ex3/xjwUeACMxsLXAvMcvejgNnA\nJAAzOwa4FDgauAC43cws2t0dwER3Hw2MNrNxUflEYL27jwJuBW6O9jUIuA44CTgZmJwahLJR5iAi\nkp9Y3Uru/n70sDfQA3DgImBaVD4NuDh6fCHwgLvvcvdlwCJgrJkdBPR39zlRvXtStknd10PAWdHj\ncUCDu7e6ewvQAJwf98VpzKHyLFwITzxR7laISDaxgoOZdTOzl4HVwFPRF/wQd18D4O6rgQOj6sOA\n5SmbN0dlw4AVKeUrorK9tnH33UCrmQ3uZF+xKHOoPI89BrfdVu5WiEg2cTOHtqhbaTghC/gIIXvY\nq1oB22XZq2SnMYfKs2IFLF5c7lZIPfn5z2HXrnK3ovr0yKWyu280syZC184aMxvi7muiLqN3o2rN\nwIiUzYZHZZnKU7dZaWbdgQHuvt7MmoFEu20aO2rblClTPnicSCRIJBLKHCpQczMsXRo+rD1yeveJ\n5OerX4Wzz4bDDit3S8qvqamJpqamWHWzfjzNbH9gp7u3mlkf4FzgO8AjwJXATcAE4OFok0eA6WZ2\nC6EL6EjgBXd3M2uNBrPnAOOBH6ZsMwF4HriEMMANMBP4n2gQulv0u6/tqJ2pwSEpTnDYtCnbEZBC\nam4OgWH5cn1Ypfh27oQtW2D9er3fYM+Jc9LUqVMz1o1z7nYwMM3MuhG+oB9098fN7DlghpldBbxN\nmKGEu883sxnAfGAncLW7J7ucrgHuBvYBHnf3J6Pyu4B7zWwRsA64LNrXBjO7HphL6LaaGg1Mx6LM\nofI0N8OIEaFrSR9WKbaW6Nti/frytqMaZQ0O7v4aMKaD8vXAORm2uRG4sYPyF4HjOijfThRcOnju\nbkJAydm2bbDPPpmfV3AoLXdYuRIuuSQEh3PPLXeLpNZt2BD+V3DIXU1fIb1tG/Tpk/l5DUiX1rp1\n0LcvHHccLFlS7tZIPUhmDuvWlbcd1aimg8PWrdkzB13nUDrNzTB8OBxxhGYsSWkoc8hfTQeHbJmD\nupVKq7kZhg2DI49UcJDSUHDIX00HhziZg4JD6axYEYLDEUfAW29BW1u5WyS1rqUlfM4VHHJX08Eh\n24C0xhxKK5k57LsvDBwIq1aVu0VS6zZsCLPiFBxyV/PBIVu3ksYcSicZHEBdS1IaLS0hU9WAdO5q\nOjioW6mypAaHIUNg7drytkdq34YNITgoc8hdTQcHXedQWVKDQ79+sHlzedtTyf70J7jjjnK3ovop\nOOSvple32bpVs5UqSWpw2HffsKyBpGtpgcsvD8Hziiugf/9yt6h6tbTA4YeH4OAOVpAlPetDXWcO\nvXppzKFUtm4NwWD//cPPyhwy++pX4dOfDovF/epX5W5NdduwIXRh9u6t91uuaj44KHOoDEuXwiGH\n7DlzU+bQsR/9CJ57Dm6+Ga6+Gn7843DGK/nZsAEGDYL99tOgdK5qOjhoQLpyLF4Mo0bt+blfPwWH\n9n77W7jxxnCnvH33hTPPDNeCPPNMuVtWvVpa4EMfgsGDNe6Qq5oODhqQrhyLFoXpq0nqVkr33e/C\nz362Z7VaMzj5ZFiwoLztqlZtbdDaquCQr5oPDtkW3tOYQ2ksXrx3cFC3UrqFC+HEE/cuGzxY3SH5\n2rQpfP579FBwyEdNBwd1K1WOjrqVlDnssX59OFE58MC9y/fbT19q+WppCeMNoDGHfNR0cMjWrdS9\ne0jddX/Z4uuoW0mZwx6LFoXg2X6qpTKH/CUHo0GZQz5qOjhku84BlD2UwvbtsHp1mK2UpG6lvSWD\nQ3vKHPKXHIwGBYd81HRwyJY5gBbfK4WlS2HkyND3m6Rupb0tWgSjR6eX60stf8ocuqbmg0O2zKFP\nn1BPiqf9YDQoc2ivs8xB3Ur52bBhT+agDCx3NRscdu8OYwk9e3ZeT19Sxdd+vAGUObSXKTjojDd/\nqQPSgwfDe++Vtz3VpmaDQ7JLKdtaKvvuG6a8SfG0n6kEGpBO5R6msWbqVlLmkJ/UzGH4cFi+vLzt\nqTY1GxziDEZDCA46gy2uxYvDypip+vaF99/X3eAgLF2enIvfXr9+IQveurX07ap2qZnD8OFhUsTO\nneVtUzWp2eAQZzAaFBxK4a230oND9+7h76MvvcxdShAyX3Ut5WfjRhgwIDzu2TMswNfcXN42VZOa\nDg7KHMpv9+6QzqdOY03SeE/QWXAADabma8uWkHklHXIIvP12+dpTbWo2OGS7OjpJwaG4Vq4MX24d\n/S00KB0sWxbuOZCJxh3ys3lz+HwnKTjkpmaDQ9xupf79NSBdTG+9tWchufY0KB0sW9ZxZpWkzCE/\nyhy6pqaDg7qVym/p0szBQcc+ePttOPTQzM8rc8iPMoeuqdngoG6lytBZcFDmEChzKI4tWxQcuiJr\ncDCz4WY228zeMLPXzOwrUfkgM2swswVmNtPMBqZsM8nMFpnZm2Z2Xkr5GDObZ2YLzezWlPJeZvZA\ntM2zZjYy5bkJUf0FZjY+7gvTbKXKsHRp5v50DUiHCzVXroQRIzLXUeaQn82b1a3UFXEyh13Av7v7\nR4CPA9eY2YeBa4FZ7n4UMBuYBGBmxwCXAkcDFwC3m31wKdodwER3Hw2MNrNxUflEYL27jwJuBW6O\n9jUIuA44CTgZmJwahDqj6xzKZ9cuaGwMj7ONOdT7sV+5Eg44IKzxlYmmsuanfbfSyJFh5pxuuxpP\n1uDg7qvd/ZXo8WbgTWA4cBEwLao2Dbg4enwh8IC773L3ZcAiYKyZHQT0d/c5Ub17UrZJ3ddDwFnR\n43FAg7u3unsL0ACcH+eF5ZI5aEC6sB5+GM45J3zxqVupc9m6lEDdSvlwTx+Q7tcvfN7ffbd87aom\nOY05mNmhwEeB54Ah7r4GQgABkrcpGQakXqjeHJUNA1aklK+Iyvbaxt13A61mNriTfWUVd0C6f3+d\nvRbanXfC0KHwi1+E9WyGZfiLKWvLPhgN6lbKx7Zt4cK31JWAQV1LuYgdHMxsX8JZ/b9GGUT75KyQ\nyVqWFZGy04B0eSxeDC+/DHfdBbfcEvrSu3fvuK4yB2UOxdJ+MDpJwSG+HtmrgJn1IASGe9394ah4\njZkNcfc1UZdRMllrBlKH14ZHZZnKU7dZaWbdgQHuvt7MmoFEu20aO2rjlClTPnicSCTYti2h4FAG\nP/sZTJgQupUGDMjcpQTh2Le0lK5tlejtt2Hs2M7rKHPIXfvB6KTDDgsnMPWqqamJpqamWHVjBQfg\nF8B8d/9BStkjwJXATcAE4OGU8ulmdguhC+hI4AV3dzNrNbOxwBxgPPDDlG0mAM8DlxAGuAFmAv8T\nDUJ3A84lDISnSQ0OEAZENSBdWu7w4IPw6KPQrRtceWVYVC6Tfv1gxYrMz9eDZcvgkks6r5PMHNyz\nrzIsQabM4aST4L77St+eSpFIJEgkEh/8PHXq1Ix1swYHMzsNuBx4zcxeJnQffYMQFGaY2VXA24QZ\nSrj7fDObAcwHdgJXu38wP+Aa4G5gH+Bxd38yKr8LuNfMFgHrgMuifW0ws+uBudHvnRoNTGe1bdue\nFRk7owHpwlmyJKx6+ZGPhJ+/+c3O78+tbqV4Yw59+oTAEHccTTJnDqedBl/+sgJtHFmDg7v/GcjQ\na8w5Gba5Ebixg/IXgeM6KN9OFFw6eO5uQkDJia5zKL0//AHOPnvPh65Hj/QBwVT1fuzb2sLUypEj\ns9dNXhOi4BBP+2msScOHh+XiM92WVfao6Suk43yQ+vYNdXfvLn6bat0f/hDGGuKq98xh7dowWy7O\n+7Tej1WuMnUrAZx6Kvz5z6VtTzWq2eAQN3Po1i188N5/v/htqmVtbTB7dsgc4qr3i+Deew/23z9e\n3XrPsnKVqVsJQteSgkN2NR0c4qbg+uB13auvhit9M13T0JF6Xz5j3bow2ByHMofcdJY5nHYaPPNM\nadtTjWo2OMS9zgE0KF0IjY1w1lnZ66Wq9y+8XIKDTmBy01nmcNxxYZbc88+Xtk3VpmaDQ9xuJdAH\nrxDmz4fjj89tm3o/7sociqezzKFHD/j5z+HCC+H660vbrmpSs8Eh7oA06EuqEPKZ/VHvX3jKHIqn\ns8wB4NJLw5X83/0u7NhRunZVk5oNDsocSmvhwtyDQ/K41+sqmQoOxZNpKmuqoUPDe/aFF0rTpmqj\n4IAW3+uqjRvDmM3Qoblt16tXmC22bVtx2lXp1K1UPJ11K6U666wwy07S1WxwyLVbSQPS+Vu0CEaN\nyu+K04EDobW18G2qBsociidbt1LSmWcqOGRSs8FB3Uqlk0+XUpKCQ7y6yhxyEzdzOP10mDs3nEzK\n3mo2OGhAunS6Ghw2bixse6qFMofiiZs59O8PJ5yg6x46UrPBQZlD6ShzyI8yh+KJmzlA6Fpq7PBG\nAPWtJoNDcgVLBYfSUHDInXtYhnvw4Hj19R7NTZzZSklnnAH/93/FbU81qsng0NoazrQy3YGsvf79\nNSCdL/cQHEaNym/7AQPqMzhs3Ai9e4d/cdT7UiO5itutBPDxj8OLL8L27cVtU7WpyeCwZg0cdFD8\n+jory9+774YpqXHPgNur18whly4l0CKFucqlW2nAADjqqDAwLXvUbHAYMiR+fQWH/K1alfv1Danq\nNTisX59bcNB7ND733DIHUNdSRxQcCB+8ep0x01UtLfHuuJdJvQaHfDIHdSvFs2NH6FLu2TP+NgoO\n6WoyOKxenVtwGDIkdI9I7lpa4EMfyn/7ep3KmmtwUOYQXy6D0Umnnx7u8XDbbXD55eH+JPWuJoND\nrmMOBx8MK1fW7xo/XdHaGr7g86XMIR4NSMe3ZUtuXUoQThBHjoSZM2HePHjkkeK0rZrUbHDIJXPo\n3z8s41uPX1Jd1dXMoV5nK2lAunjyyRwAXnkFHn00LON9/fU6WVRwiAwdGrIHyU0hupUUHLLr1Sus\nXaXlpbPLdTA6qVv0bXjhhbBzJzzxRGHbVW1qMjjkOuYACg75UnDIT67BAZQ9xJXLNNaOdOsGX/oS\nPPhg4dpUjWoyOChzKB0Fh/zkExw07hBPa2voruyKsWPDzYDqWc0FB3cFh1LSgHR+1q6F/ffPbRtl\nDvFs2JD/RZlJxx4LixfX771GoAaDw8aNYX5zrn2OCg756Wrm0Ldv6N+tt770fE5gNJ01nlzWrMqk\nd++wXthrrxWmTdWo5oJDPh86UHDIV1eDg1noAqinax3a2kLmcOCBuW2nbqV41q/v2oWZSR/7WH13\nLdVccMhnMBoUHPLV1eAA9de1tGFDyJjirhqcpG6leArRrQQwZgy89FLX91Otai445HoBXJKCQ35a\nWro25gD1FxzyzW6VOcSjzKEwsgYHM7vLzNaY2byUskFm1mBmC8xsppkNTHlukpktMrM3zey8lPIx\nZjbPzBaa2a0p5b3M7IFom2fNbGTKcxOi+gvMbHycF5TvB+/gg8MicvV+4Usu3EN3kIJDbvJ9jypz\niKcQYw4Q7hD3+uthTKwexckcfgmMa1d2LTDL3Y8CZgOTAMzsGOBS4GjgAuB2sw9uO38HMNHdRwOj\nzSy5z4nAencfBdwK3BztaxBwHXAScDIwOTUIZZLvB69Pn/DhW7cu923r1ebN4bj16NG1/Sg4xKPM\nIZ5CdSv17w8jRsCbb3Z9X9Uoa3Bw96eBDe2KLwKmRY+nARdHjy8EHnD3Xe6+DFgEjDWzg4D+7j4n\nqndPyjap+3oIOCt6PA5ocPdWd28BGoDzs7U33zEHUNdSrgox3gAKDnEpc4inUN1KAIkENDQUZl/V\nJt8xhwPdfQ2Au68GkvMuhgHLU+o1R2XDgBUp5Suisr22cffdQKuZDe5kX51atSq/MQcIwWHVqvy2\nrUeFCg71Nlsp33ExTWWNp1DdSgCf/jT8/veF2Ve1KdSAdCF76i17lczeegsOPzy/bZU55KYQg9Gg\nzCEudStlt3t3uOVvId6XAGedFRbkq8fu5nx7i9eY2RB3XxN1GSXvhtAMjEipNzwqy1Seus1KM+sO\nDHD39WbWDCTabdOYqUFTpkz54H7Gzc0Jjj8+kalqRiNGwNtv57xZ3Spkt9J773V9P9VC3UrF09oa\nxgri3j8+mz594MwzwyJ8V1xRmH2WU1NTE01NTbHqxg0Oxt5n9I8AVwI3AROAh1PKp5vZLYQuoCOB\nF9zdzazVzMYCc4DxwA9TtpkAPA9cQhjgBpgJ/E80CN0NOJcwEN6hKVOmsGIF3HknXHBBzFfVzlFH\nwWOP5bdtPSpkcFiypOv7qRbKHIqnkF1KScmupVoIDolEgkQi8cHPU6dOzVg3zlTW+4BnCDOM3jGz\nzwPfAc41swXA2dHPuPt8YAYwH3gcuNr9g8mh1wB3AQuBRe7+ZFR+F7C/mS0CvkoUANx9A3A9MJcQ\nOKZGA9MZLVkCRxyR7RVldtRR8Je/5L99vWltLVxwaOn0L1tb8g0OAweGmTiS2YYNhRuMTrrgApg1\nq/6muWfNHNz9cxmeOidD/RuBGzsofxE4roPy7YTprx3t627g7mxtTCpEcFi4MCxv0K3mLg8svEJl\nDvV0m1b38FrzCQ6HHgpLlxa8STWlGJnD0KFhmZd8/27Vqqa+ArsaHAYMCF92K1ZkryuFG5Cup4kA\nra3hxj19+uS+7WGHwTvvhEFX6VihrnFo7+ij6+96h5oKDl2ZqZR01FGwYEFh2lPrCpU5DB0Kzc31\nkbZ35TqcffYJy3w3N2evW68KeY1Dqg9/WMGhqnU1c4DwJtC4QzyFvM6hW7f6uNYh3/GGpMMPDydB\n0rFidCuBMoeqV4jgoMwhvkIFB6ifriUFh+JSt1Lh1ExwaGmB7dtzXyO/PWUO8RVqthIoOMSl4NC5\nYnUrKTiBNze3AAATbElEQVRUsWTWYF26vlqZQy5Wr4YDDijMvuolOCxfDiNHZq+XiYJD54rVrTRy\nZMhK6qHrM6lmgsP8+V3vUoLwJli3TleiZrNlS7iqecSI7HXjqJfgsHRpmJKaLwWHzhXjOgcIY2Kj\nR9fXiWPNBIcbb4QJE7q+n27d4JhjYN687HXr2eLF4YuqUMsUDBtWH7Nwli1TcCimYmUOUH9dSzUT\nHIYPhwsvLMy+TjkFnnuuMPuqVYsWhTOpQqmXzGHZsnC9Qr6GDAlZ26ZNBWtSTSl2cJg/vzj7rkQ1\nExxuvbXr4w1JH/84PPtsYfZVqxYuVHDI1ebN4Yu9K5MmzEJw0ZXS6XbvLm5wOOMMmDmzOPuuRDUT\nHI45pnD7UnDITsEhd8uWwSGHdP0k5vDD62uhwriWLAm3+83n6vM4zjgjzDarl9mMNRMcCumww2DH\nDi2j0ZliBIdav4d3V8cbko48UsGhI6+/DsceW7z9d+8Ol14KDz5YvN9RSRQcOmCm7CGbQgeHffYJ\nS1LX8k1VujrekFRvs2biev11OC5tac/C+uxn4f77a/skJknBIYNTTlFwyGT9+pBZdfWCw/aSayzV\nqkJlDqNHh+Aseyt25gAwdmx479fDbEYFhwyUOWSWnKlUqAkASbU+7lCo4KALNTtWiuBgBuefD3/4\nQ3F/TyVQcMhg7Fh47TV4//1yt6TyFLpLKemww8L1E7WqqxfAJQ0dGmY+1dN9t7PZvj0c36OOKv7v\nOv10ePrp4v+eclNwyKBvXzj+eF3v0N6LL8KPf1ycvt0xY8L+a1WhxhzM1LXU3oIF4dj27l3833X6\n6fDnP9f+uIOCQyc+8Qn405/K3YrK8eKLMG4c/MM/wNe+Vvj9n3hi7QaHjRth27ZwP4ZCUHDYWym6\nlJJGjgxBqJazXFBw6NRf/7WCQ6onnghLlFxzTbibWaEde2yYolmLXXnz5oUrbAs1TqNxh72VYqZS\nqnroWlJw6MSpp8KcOWF2gsDs2XD22cXbf+/e4Qv01VeL9zvK5Y9/DJlooShz2FtTE5x0Uul+32mn\nKTjUtYEDw4dw7txyt6T8tm4NgfKMM4r7e048EV56qbi/oxyamiCRKNz+lDnssWRJ+FfME5f2Tj8d\n/u//Svf7ykHBIYu//uv6mLbWnnvoI0965pkwQN+/f3F/by2OO+zYAc8/X9jAOnp0mFJc64OicUyf\nDp/5DPTsWbrfeeyxsHNnbU9YUXDI4jOfgXvuqa8P4c6dMHEifPSjYTEzCF1KZ51V/N9dizOW5s4N\nS14U6q55EO67fcAB9bPOTybu8KtfwRVXlPb3du8OX/0qfO97pf29paTgkMXJJ4elHZqayt2S0mhp\ngYsuCguMDRwIv/lN+AA++WRpgsPxx4dZILV0x61CdyklnXsuNDQUfr/VZM6c8H8pxxuSrroKGhtr\n9/4aCg5ZmME//iP87GflbknxvfFG+JAdcQQ8/DB885vhJkpTp0KPHmEQrth69w5fev/7v8X/XcXW\n1hbmw8+YUdjB6KTzzquvJaQ78otfwPjxhb9aP47+/cN3w3e+U/rfXQrmNdBfYmZezNexfn1YJnnR\nosLdM7kUtm0LbR86NHvdJUtCn3jqHfXa2sKZ/KZN8MIL4UYzpfCb38APf1jd2drOnfB3fxeyoMsu\ng2uvLfz03w0bwhLga9eW5uKvSrNlS7hN7WuvhTsJlsOGDXDCCfDTn4ZlNaqNmeHuHYZWZQ4xDB4c\nvjC/8Y1ytyS+bdvCm3XUKPj7v888cOYevvjPPx8mT977VqvdusF994XxhlIFBoBPfSrMW1+2rHS/\ns1Dcw9LjV14ZHr/6Klx3XXGuCxk0CD7ykdqfUpnJr38dstlyBQYIf4N77gljdGvXlq8dxaDgENO3\nvw2PPx5m7VSyNWvC7KrPfS58oa9aFbo0Pve5MH7yzW/Co4+G8p/+NGRE48fDv/87fPGL6fs7/vjQ\nzVRKvXuHiQD33lva3xvXsmUhaH7/++E90dISytetC7NYjjsuDOTPmFH8GTTnnRcuTqx2S5fCJz8J\nX/86rF7ded1HHoEf/CBkl1/4Qmna15lEItyi+Ec/KndLCszdK/4fcD7wF2Ah8PUOnvdSuP9+92OP\ndd+ypSS/LmcvvOB+wAHun/iE+5e/7L51657ndu50f/JJ9299y/3cc90HDnQ/+2z3Z55xb2srW5Mz\nmjcvvJZXXil3S/bYvt19yhT3/fZzv/TScIzPPju08+GH3c87z/1rXyvt8Xz9dfcDD3Q/+mj3++4r\n3e8tlNZW95/8JLyGG25wv+Ya97593Xv3Du/jOXP2rv/44+4HHeR+9dXuV1zhvmNHWZqdZt489+HD\n3XftKndLchN9d3b8vZvpiUr5R8huFgOHAD2BV4APt6vj7u6NjY2FPG5p2trCG/KKKyrjC/WOO9z/\n+7/dv/c9929/O3zAHnmkeL+v2Me3vQceCB+4ZctK+ms7tH27+4UXhgDwzjt7P/fnP7sffLB7IhGC\ncD66cmx373b/05/cR44Mwf/228P/DQ2h3ZXqhRfcBw1y/9u/dX/uuT3lbW3hBOznPw/Hdfx49/nz\n3R98MATip5/O7/cV+/178snujz5a1F/RJcnj+pe/uM+c6T57dufBoRq6lcYCi9z9bXffCTwAXNRR\nxaYij2CawZ13hv7wa68N/fpz54b5zg0NsHx5SHnnzy/+dRFPPAE33RRmEb3zTliP6MEH4dOfLt7v\nLPbxbe8znwndDKecAk89Fcra2sJSFD/7WegWe+qpMOi7cGG4rev27aHe9u1hxlMhLmBcuBAuuST8\nTX//+zAImurUU8Pf/NFHw98jH105tt26hckEzz4bBmfnzg0D4l//Olx+eXHfi2vXhvXHXn45LCMe\n1/bt8PnPh66Y3/wmdHkmmYVVkSdODFeBDxsWukbvvjvMTsp31lyx379f+EJlzWrcuTN8L119dejq\n7NkT9tsvjOnddFOYhdipTFGjUv4Bfwf8NOXnK4Aftqvj7u6TJ0/OGDU7O2vIdkbR/vnm5nC2c9BB\n7oMGNfqkSe5jxoQz9/POcx8xwn30aPf/+i/3KVMaffr0cNbz6KPujY3uzz8fugPuv7/RV61yX7LE\n/aWX3Juawpn/gw+6T5+euU2tre4HHNDos2bl9nrinDl1Vqez45tt23zalHxu9uyQQQwZEv4/7jj3\niRPDvxNOaPTDDnM/8kj3YcPce/YMXWb9+jV6IuF+yCHuX/pSyD527AjdP//xH+6XX+7+z//c6MuW\nhTOqtjb3Vavcf/1r90mT3L/xjUb/1a9CNnDgge7XXuu+bVvXjmFXjm0++9261f3QQxt92rT057Zs\ncV+71n3atEb//vfDa54+PZR1tt9du0L31d/8TaOPHRuO9amnuh9/vPu++4auoIkT3a+4otFvv939\nt791f/bZ0H05e3boFvr2txv9n/7J/dOfTs/Ac/0s5rJtob8f2pdv2hTen5de6n7vve7/+Z/u3/pW\no7e1ua9Z4/7YY+6zZoWM+HvfC8d+x47w88UXu/fv737EEe6nntroX/6y+y9/GT7rSbt2hb9bS4v7\nzJlhvzt27N2VNWtWozc2un/xi+777+9+yinuN90UsrRkFpnabjrJHPI8z6k+TU1NJDJcidTZcx09\nP3RoONt58UX49a+buOGGBDfcsKe+e1gf6Le/hfvvb+JjH0uwa1eYerdlSzjL37IFmpub6N07Qb9+\n4YKzAQPCv169oKGhiX/7twT77BOi/ahR4V/37uGK0EMOaeLss3N7PdleZ9w6+WybT5uSz515ZsiO\nVqwIZ6cf/vCeee1TpjQxZcqe7d3DAPENNzTx3e8maG2FSZPC9Rtbt4Zph5/6FBxzDNx2WxMnnZRg\n8+Zwxt+rVziD/au/Cn/XV15JcPXV4aLA5GyjrhzDrhzbfPa7zz4wblwTX/tagqefDjNr3nwzZBer\nV0O/frBrVxOXXJJg+HB46KFwlnnSSbBrF7zxRhM9eiRoa4M+fcJV3suXh+nc/fuH43vyyXum0W7a\nFCZsvPMOTJ/exKuvJnjiiTBJolu30J7evWHZsibGjk3wk5+kX5+Q62cxl207U4j37r77huN7++3w\nu9+FyRx33NHEffcleO+9cAOxXbvC3+GAA+Bb32riP/4jwdFHhyzpJz8JU2MnT27iyCMT/O538C//\nEo7R1q1hkkPv3iED2LKliba2BN26hffuyJHhPbp0aROjRyf47GdDBnnIIfkfp4q/zsHMTgGmuPv5\n0c/XEqLdTSl1KvtFiIhUKM9wnUM1BIfuwALgbGAV8ALwWXd/s6wNExGpYRXfreTuu83sy0ADYebS\nXQoMIiLFVfGZg4iIlF41TGVNY2abyt2GXGVrs5k1mtmYUrWnk3ZU3bEFHd9iqpZjm1Rtx7hSj29V\nBgegGtOdamlztbSzvWppd7W0M1W1tVntLYBqDQ6YWV8zm2Vmc83sVTO7MCo/xMzmm9lPzex1M3vS\nzCphzUozs0+Y2e9TCm4zs/HlbFRHqvDYgo5vMVXNsU2qsmNckce3aoMDsA242N3/CjgLSL0n05HA\nbe5+LNBKuJCuEjgVepbQTjUeW9DxLaZqObZJ1XaMK+74VvxspU4Y8B0zOwNoA4aa2YHRc0vd/bXo\n8YvAoWVoXzXTsS0uHd/i0zHuomoNDkZYRmM/4GPu3mZmS4F9oue3p9TdnVJebruA7ik/V0q7UlXr\nsQUd32KqhmObVI3HuOKObzV3Kw0A3o3+8GcSVm1NKsNNA7Ny4G3gGDPraWYfIlzYV4mq7diCjm8x\nVdOxTaqmY1yRx7fqMofoiultwHTgUTN7FZgLpF4YV1F9d1Gbt7t7s5nNAF4HlgIvpVQre5ur8diC\njm8xVcuxTaq2Y1zJx7fqLoIzsxOAO939lHK3Ja5qaXO1tLO9aml3tbQzVbW1We0tnKrqVjKzLxLO\nCL5Z7rbEVS1trpZ2tlct7a6WdqaqtjarvYVVdZmDiIgUX1VlDiIiUhoVHRzMbLiZzTazN8zsNTP7\nSlQ+yMwazGyBmc00s4FR+eCo/iYz+2G7fTWa2V/M7GUze8nM9i/Ha6okBT6+Pc3szmib+Wb2t+V4\nTZWiUMfWzPZNec++bGZrzez75XpdlaTA79/Pmtk8M3vFzB43s8HleE2VpKK7lczsIOAgd3/FzPYl\nXLByEfB5YJ2732xmXwcGufu1ZtYX+ChwLHCsu38lZV+NwL+7+8ulfyWVqcDHdwrQzd2vi34e7O7r\nS/ySKkYhj227/c4F/tXd/1yaV1K5CnWMoxlDK4EPu/sGM7sJ2OLu3y7H66oUFZ05uPtqd38leryZ\nMB1tOOENMC2qNg24OKrzvrs/w94XuaSq6NdbagU+vlcBN6bsu24DAxTlvYuZjQYOUGAICniMk9c9\n9DczI1wjsbLIza94VfNlaWaHEqL+c8AQd18D4Q0CHJh5y73cHaXn/12URlaxrhzfZNoO/D8ze9HM\nHjSzA4rY3KpSoPcuwGeABwvdvlrQlWPs7ruAq4HXgBXA0cBdRWxuVaiK4BCljA8R0unNpF8UEqdv\n7HPufhxwBnCGmV1R4GZWrQIc3x6EM7an3f1Ewgf0e51vUh8K9N5Nugy4v1BtqxVdPcZm1gP4EnCC\nuw8jBIlvFKOt1aTig0P0h3sIuNfdH46K15jZkOj5g4B3s+3H3VdF/28B7gPGFqfF1aUQx9fd1xH6\naH8bFf0a+FiRmlw1CvXejeoeD3TXmNneCnSMPwq4uy+Lfp4BfLwIza0qFR8cgF8A8939BylljwBX\nRo8nAA+334iU9VPMrLuZ7Rc97gn8DeEydSnA8Y383sIaNgDnAPML2cgqVahjC/BZlDV0pBDHuJmw\nrtF+0c/nsvdyG3Wp0mcrnQb8iZDmJdc7/wbwAiG6jyAsWHWpu7dE2ywF+gO9gBbgPOCdaD89CCsf\nziLMXKrcF18ChTq+7v4XMxsJ3AsMBNYCn3f3FaV9RZWjkMc2em4x8El3X1jil1KxCvz+/Sfgq8CO\naJsr3X1DaV9RZano4CAiIuVRDd1KIiJSYgoOIiKSRsFBRETSKDiIiEgaBQcREUmj4CAiImkUHERK\nwMy+mMuSLWZ2iJm9Vsw2iXSmR7kbIFLrzKy7u9+Zx6a6CEnKRsFBJAYzOwR4knDPgDGE5VfGA8cA\n3wf6Ae8RrqxdE90/5BXgNOB+MxsAbHL375vZR4E7gD7AEuAqd281sxMJq4E68FRJX6BIO+pWEonv\nKOBH7n4MsBH4MnAb8HfufhLwS+CGlPo93X2su9/Sbj/TgP90948SgszkqPwXwDXuXveLFkr5KXMQ\nie8dd38uejydsI7PR4CnopvEdGPvm8Sk3XshyiAGuvvTUdE0YEZ0T4yBKTfyuRc4vwivQSQWBQeR\n/G0C3nD30zI8vyVDeUerrnZWLlJy6lYSiW+kmZ0cPf4c8CxwgJmdAuHeAmZ2TGc7cPeNwPpoRVGA\nfwD+6O6twAYzOzUqv7zwzReJT5mDSHwLgGvM7JfAG4TxhpnAbVG3UHfgVsK9LDqbaXQl8BMz6wO8\nBXw+Kr8K+IWZtQENRXkFIjFpyW6RGKLZSo9Gt5oVqXnqVhKJT2dSUjeUOYiISBplDiIikkbBQURE\n0ig4iIhIGgUHERFJo+AgIiJpFBxERCTN/wc5WnA5n1htNAAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11bc67048>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data['inc'][-200:].plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Etude de l'incidence annuelle"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Etant donné que le pic de l'épidémie se situe en hiver, à cheval\n",
+    "entre deux années civiles, nous définissons la période de référence\n",
+    "entre deux minima de l'incidence, du 1er août de l'année $N$ au\n",
+    "1er août de l'année $N+1$.\n",
+    "\n",
+    "Notre tâche est un peu compliquée par le fait que l'année ne comporte\n",
+    "pas un nombre entier de semaines. Nous modifions donc un peu nos périodes\n",
+    "de référence: à la place du 1er août de chaque année, nous utilisons le\n",
+    "premier jour de la semaine qui contient le 1er août.\n",
+    "\n",
+    "Comme l'incidence de syndrome grippal est très faible en été, cette\n",
+    "modification ne risque pas de fausser nos conclusions.\n",
+    "\n",
+    "Encore un petit détail: les données commencent an octobre 1984, ce qui\n",
+    "rend la première année incomplète. Nous commençons donc l'analyse en 1985."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
+    "                     for y in range(1985,\n",
+    "                                    sorted_data.index[-1].year)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "En partant de cette liste des semaines qui contiennent un 1er août, nous obtenons nos intervalles d'environ un an comme les périodes entre deux semaines adjacentes dans cette liste. Nous calculons les sommes des incidences hebdomadaires pour toutes ces périodes.\n",
+    "\n",
+    "Nous vérifions également que ces périodes contiennent entre 51 et 52 semaines, pour nous protéger contre des éventuelles erreurs dans notre code."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "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": "markdown",
+   "metadata": {},
+   "source": [
+    "Voici les incidences annuelles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11c090f60>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAEACAYAAABPiSrXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nZpabg4aZmeXmoGFmZrn9f1gAJxPxoq2fAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11bc2bfd0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "yearly_incidence.plot(style='*')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Une liste triée permet de plus facilement répérer les valeurs les plus élevées (à la fin)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2014    1600941\n",
+       "1991    1659249\n",
+       "1995    1840410\n",
+       "2012    2175217\n",
+       "2003    2234584\n",
+       "2006    2307352\n",
+       "2017    2321583\n",
+       "2001    2529279\n",
+       "1992    2574578\n",
+       "1993    2703886\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"
+    }
+   ],
+   "source": [
+    "yearly_incidence.sort_values()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Enfin, un histogramme montre bien que les épidémies fortes, qui touchent environ 10% de la population\n",
+    "  française, sont assez rares: il y en eu trois au cours des 35 dernières années."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11c2cfa90>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEPCAYAAABcA4N7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11c260a20>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "yearly_incidence.hist(xrot=20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/module3/exo2/analyse-syndrome-varicelle-jupyter.ipynb b/module3/exo2/analyse-syndrome-varicelle-jupyter.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..b54a548ad6c75f109c6f101b193f435d81320cc8
--- /dev/null
+++ b/module3/exo2/analyse-syndrome-varicelle-jupyter.ipynb
@@ -0,0 +1,2503 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Incidence de la varicelle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import isoweek"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Les données de l'incidence du syndrome grippal sont disponibles du site Web du [Réseau Sentinelles](http://www.sentiweb.fr/). Nous les récupérons sous forme d'un fichier en format CSV dont chaque ligne correspond à une semaine de la période demandée. Nous téléchargeons toujours le jeu de données complet, qui commence en 1984 et se termine avec une semaine récente."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Voici l'explication des colonnes données [sur le site d'origine](https://ns.sentiweb.fr/incidence/csv-schema-v1.json):\n",
+    "\n",
+    "| Nom de colonne | Libellé de colonne                                                                                                                |\n",
+    "|----------------|-----------------------------------------------------------------------------------------------------------------------------------|\n",
+    "| week           | Semaine calendaire (ISO 8601)                                                                                                     |\n",
+    "| indicator      | Code de l'indicateur de surveillance                                                                                              |\n",
+    "| inc            | Estimation de l'incidence de consultations en nombre de cas                                                                       |\n",
+    "| inc_low        | Estimation de la borne inférieure de l'IC95% du nombre de cas de consultation                                                     |\n",
+    "| inc_up         | Estimation de la borne supérieure de l'IC95% du nombre de cas de consultation                                                     |\n",
+    "| inc100         | Estimation du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants)                                   |\n",
+    "| inc100_low     | Estimation de la borne inférieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |\n",
+    "| inc100_up      | Estimation de la borne supérieure de l'IC95% du taux d'incidence du nombre de cas de consultation (en cas pour 100,000 habitants) |\n",
+    "| geo_insee      | Code de la zone géographique concernée (Code INSEE) http://www.insee.fr/fr/methodes/nomenclatures/cog/                            |\n",
+    "| geo_name       | Libellé de la zone géographique (ce libellé peut être modifié sans préavis)                                                       |\n",
+    "\n",
+    "La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\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>201842</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7832</td>\n",
+       "      <td>5145.0</td>\n",
+       "      <td>10519.0</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>1</th>\n",
+       "      <td>201841</td>\n",
+       "      <td>3</td>\n",
+       "      <td>8048</td>\n",
+       "      <td>5098.0</td>\n",
+       "      <td>10998.0</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>2</th>\n",
+       "      <td>201840</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7409</td>\n",
+       "      <td>4717.0</td>\n",
+       "      <td>10101.0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>201839</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7174</td>\n",
+       "      <td>4235.0</td>\n",
+       "      <td>10113.0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>201838</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6127</td>\n",
+       "      <td>3482.0</td>\n",
+       "      <td>8772.0</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>5</th>\n",
+       "      <td>201837</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4644</td>\n",
+       "      <td>2200.0</td>\n",
+       "      <td>7088.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>201836</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3215</td>\n",
+       "      <td>1349.0</td>\n",
+       "      <td>5081.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>201835</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1506</td>\n",
+       "      <td>239.0</td>\n",
+       "      <td>2773.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>201834</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1368</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>2620.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>201833</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1962</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3919.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>201832</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1839</td>\n",
+       "      <td>183.0</td>\n",
+       "      <td>3495.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>201831</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2048</td>\n",
+       "      <td>242.0</td>\n",
+       "      <td>3854.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>201830</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>202.0</td>\n",
+       "      <td>3700.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>201829</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>252.0</td>\n",
+       "      <td>3650.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>201828</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1654</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>3256.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>201827</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3269</td>\n",
+       "      <td>1145.0</td>\n",
+       "      <td>5393.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>201826</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3758</td>\n",
+       "      <td>1493.0</td>\n",
+       "      <td>6023.0</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>17</th>\n",
+       "      <td>201825</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4580</td>\n",
+       "      <td>2220.0</td>\n",
+       "      <td>6940.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>201824</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3223</td>\n",
+       "      <td>1351.0</td>\n",
+       "      <td>5095.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>201823</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1207</td>\n",
+       "      <td>136.0</td>\n",
+       "      <td>2278.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>201822</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3202</td>\n",
+       "      <td>1330.0</td>\n",
+       "      <td>5074.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>201821</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2537</td>\n",
+       "      <td>763.0</td>\n",
+       "      <td>4311.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>201820</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2694</td>\n",
+       "      <td>967.0</td>\n",
+       "      <td>4421.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>201819</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1025</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2098.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>201818</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3541</td>\n",
+       "      <td>1416.0</td>\n",
+       "      <td>5666.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>201817</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2573</td>\n",
+       "      <td>1003.0</td>\n",
+       "      <td>4143.0</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>26</th>\n",
+       "      <td>201816</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4818</td>\n",
+       "      <td>2724.0</td>\n",
+       "      <td>6912.0</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>27</th>\n",
+       "      <td>201815</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16311</td>\n",
+       "      <td>12168.0</td>\n",
+       "      <td>20454.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>201814</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22666</td>\n",
+       "      <td>18092.0</td>\n",
+       "      <td>27240.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>201813</td>\n",
+       "      <td>3</td>\n",
+       "      <td>32680</td>\n",
+       "      <td>25536.0</td>\n",
+       "      <td>39824.0</td>\n",
+       "      <td>50</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1743</th>\n",
+       "      <td>198521</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26096</td>\n",
+       "      <td>19621.0</td>\n",
+       "      <td>32571.0</td>\n",
+       "      <td>47</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1744</th>\n",
+       "      <td>198520</td>\n",
+       "      <td>3</td>\n",
+       "      <td>27896</td>\n",
+       "      <td>20885.0</td>\n",
+       "      <td>34907.0</td>\n",
+       "      <td>51</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1745</th>\n",
+       "      <td>198519</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43154</td>\n",
+       "      <td>32821.0</td>\n",
+       "      <td>53487.0</td>\n",
+       "      <td>78</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1746</th>\n",
+       "      <td>198518</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40555</td>\n",
+       "      <td>29935.0</td>\n",
+       "      <td>51175.0</td>\n",
+       "      <td>74</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1747</th>\n",
+       "      <td>198517</td>\n",
+       "      <td>3</td>\n",
+       "      <td>34053</td>\n",
+       "      <td>24366.0</td>\n",
+       "      <td>43740.0</td>\n",
+       "      <td>62</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1748</th>\n",
+       "      <td>198516</td>\n",
+       "      <td>3</td>\n",
+       "      <td>50362</td>\n",
+       "      <td>36451.0</td>\n",
+       "      <td>64273.0</td>\n",
+       "      <td>91</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1749</th>\n",
+       "      <td>198515</td>\n",
+       "      <td>3</td>\n",
+       "      <td>63881</td>\n",
+       "      <td>45538.0</td>\n",
+       "      <td>82224.0</td>\n",
+       "      <td>116</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1750</th>\n",
+       "      <td>198514</td>\n",
+       "      <td>3</td>\n",
+       "      <td>134545</td>\n",
+       "      <td>114400.0</td>\n",
+       "      <td>154690.0</td>\n",
+       "      <td>244</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>281.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1751</th>\n",
+       "      <td>198513</td>\n",
+       "      <td>3</td>\n",
+       "      <td>197206</td>\n",
+       "      <td>176080.0</td>\n",
+       "      <td>218332.0</td>\n",
+       "      <td>357</td>\n",
+       "      <td>319.0</td>\n",
+       "      <td>395.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1752</th>\n",
+       "      <td>198512</td>\n",
+       "      <td>3</td>\n",
+       "      <td>245240</td>\n",
+       "      <td>223304.0</td>\n",
+       "      <td>267176.0</td>\n",
+       "      <td>445</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>485.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1753</th>\n",
+       "      <td>198511</td>\n",
+       "      <td>3</td>\n",
+       "      <td>276205</td>\n",
+       "      <td>252399.0</td>\n",
+       "      <td>300011.0</td>\n",
+       "      <td>501</td>\n",
+       "      <td>458.0</td>\n",
+       "      <td>544.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1754</th>\n",
+       "      <td>198510</td>\n",
+       "      <td>3</td>\n",
+       "      <td>353231</td>\n",
+       "      <td>326279.0</td>\n",
+       "      <td>380183.0</td>\n",
+       "      <td>640</td>\n",
+       "      <td>591.0</td>\n",
+       "      <td>689.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1755</th>\n",
+       "      <td>198509</td>\n",
+       "      <td>3</td>\n",
+       "      <td>369895</td>\n",
+       "      <td>341109.0</td>\n",
+       "      <td>398681.0</td>\n",
+       "      <td>670</td>\n",
+       "      <td>618.0</td>\n",
+       "      <td>722.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1756</th>\n",
+       "      <td>198508</td>\n",
+       "      <td>3</td>\n",
+       "      <td>389886</td>\n",
+       "      <td>359529.0</td>\n",
+       "      <td>420243.0</td>\n",
+       "      <td>707</td>\n",
+       "      <td>652.0</td>\n",
+       "      <td>762.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1757</th>\n",
+       "      <td>198507</td>\n",
+       "      <td>3</td>\n",
+       "      <td>471852</td>\n",
+       "      <td>432599.0</td>\n",
+       "      <td>511105.0</td>\n",
+       "      <td>855</td>\n",
+       "      <td>784.0</td>\n",
+       "      <td>926.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1758</th>\n",
+       "      <td>198506</td>\n",
+       "      <td>3</td>\n",
+       "      <td>565825</td>\n",
+       "      <td>518011.0</td>\n",
+       "      <td>613639.0</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>939.0</td>\n",
+       "      <td>1113.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1759</th>\n",
+       "      <td>198505</td>\n",
+       "      <td>3</td>\n",
+       "      <td>637302</td>\n",
+       "      <td>592795.0</td>\n",
+       "      <td>681809.0</td>\n",
+       "      <td>1155</td>\n",
+       "      <td>1074.0</td>\n",
+       "      <td>1236.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1760</th>\n",
+       "      <td>198504</td>\n",
+       "      <td>3</td>\n",
+       "      <td>424937</td>\n",
+       "      <td>390794.0</td>\n",
+       "      <td>459080.0</td>\n",
+       "      <td>770</td>\n",
+       "      <td>708.0</td>\n",
+       "      <td>832.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1761</th>\n",
+       "      <td>198503</td>\n",
+       "      <td>3</td>\n",
+       "      <td>213901</td>\n",
+       "      <td>174689.0</td>\n",
+       "      <td>253113.0</td>\n",
+       "      <td>388</td>\n",
+       "      <td>317.0</td>\n",
+       "      <td>459.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1762</th>\n",
+       "      <td>198502</td>\n",
+       "      <td>3</td>\n",
+       "      <td>97586</td>\n",
+       "      <td>80949.0</td>\n",
+       "      <td>114223.0</td>\n",
+       "      <td>177</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1763</th>\n",
+       "      <td>198501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>85489</td>\n",
+       "      <td>65918.0</td>\n",
+       "      <td>105060.0</td>\n",
+       "      <td>155</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>190.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1764</th>\n",
+       "      <td>198452</td>\n",
+       "      <td>3</td>\n",
+       "      <td>84830</td>\n",
+       "      <td>60602.0</td>\n",
+       "      <td>109058.0</td>\n",
+       "      <td>154</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>198.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1765</th>\n",
+       "      <td>198451</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101726</td>\n",
+       "      <td>80242.0</td>\n",
+       "      <td>123210.0</td>\n",
+       "      <td>185</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>224.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1766</th>\n",
+       "      <td>198450</td>\n",
+       "      <td>3</td>\n",
+       "      <td>123680</td>\n",
+       "      <td>101401.0</td>\n",
+       "      <td>145959.0</td>\n",
+       "      <td>225</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>266.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1767</th>\n",
+       "      <td>198449</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101073</td>\n",
+       "      <td>81684.0</td>\n",
+       "      <td>120462.0</td>\n",
+       "      <td>184</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>219.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1768</th>\n",
+       "      <td>198448</td>\n",
+       "      <td>3</td>\n",
+       "      <td>78620</td>\n",
+       "      <td>60634.0</td>\n",
+       "      <td>96606.0</td>\n",
+       "      <td>143</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>176.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1769</th>\n",
+       "      <td>198447</td>\n",
+       "      <td>3</td>\n",
+       "      <td>72029</td>\n",
+       "      <td>54274.0</td>\n",
+       "      <td>89784.0</td>\n",
+       "      <td>131</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>163.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1770</th>\n",
+       "      <td>198446</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87330</td>\n",
+       "      <td>67686.0</td>\n",
+       "      <td>106974.0</td>\n",
+       "      <td>159</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>195.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1771</th>\n",
+       "      <td>198445</td>\n",
+       "      <td>3</td>\n",
+       "      <td>135223</td>\n",
+       "      <td>101414.0</td>\n",
+       "      <td>169032.0</td>\n",
+       "      <td>246</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>308.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1772</th>\n",
+       "      <td>198444</td>\n",
+       "      <td>3</td>\n",
+       "      <td>68422</td>\n",
+       "      <td>20056.0</td>\n",
+       "      <td>116788.0</td>\n",
+       "      <td>125</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>213.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1773 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up  inc100  inc100_low  \\\n",
+       "0     201842          3    7832    5145.0   10519.0      12         8.0   \n",
+       "1     201841          3    8048    5098.0   10998.0      12         8.0   \n",
+       "2     201840          3    7409    4717.0   10101.0      11         7.0   \n",
+       "3     201839          3    7174    4235.0   10113.0      11         7.0   \n",
+       "4     201838          3    6127    3482.0    8772.0       9         5.0   \n",
+       "5     201837          3    4644    2200.0    7088.0       7         3.0   \n",
+       "6     201836          3    3215    1349.0    5081.0       5         2.0   \n",
+       "7     201835          3    1506     239.0    2773.0       2         0.0   \n",
+       "8     201834          3    1368     116.0    2620.0       2         0.0   \n",
+       "9     201833          3    1962       5.0    3919.0       3         0.0   \n",
+       "10    201832          3    1839     183.0    3495.0       3         0.0   \n",
+       "11    201831          3    2048     242.0    3854.0       3         0.0   \n",
+       "12    201830          3    1951     202.0    3700.0       3         0.0   \n",
+       "13    201829          3    1951     252.0    3650.0       3         0.0   \n",
+       "14    201828          3    1654      52.0    3256.0       3         1.0   \n",
+       "15    201827          3    3269    1145.0    5393.0       5         2.0   \n",
+       "16    201826          3    3758    1493.0    6023.0       6         3.0   \n",
+       "17    201825          3    4580    2220.0    6940.0       7         3.0   \n",
+       "18    201824          3    3223    1351.0    5095.0       5         2.0   \n",
+       "19    201823          3    1207     136.0    2278.0       2         0.0   \n",
+       "20    201822          3    3202    1330.0    5074.0       5         2.0   \n",
+       "21    201821          3    2537     763.0    4311.0       4         1.0   \n",
+       "22    201820          3    2694     967.0    4421.0       4         1.0   \n",
+       "23    201819          3    1025       0.0    2098.0       2         0.0   \n",
+       "24    201818          3    3541    1416.0    5666.0       5         2.0   \n",
+       "25    201817          3    2573    1003.0    4143.0       4         2.0   \n",
+       "26    201816          3    4818    2724.0    6912.0       7         4.0   \n",
+       "27    201815          3   16311   12168.0   20454.0      25        19.0   \n",
+       "28    201814          3   22666   18092.0   27240.0      35        28.0   \n",
+       "29    201813          3   32680   25536.0   39824.0      50        39.0   \n",
+       "...      ...        ...     ...       ...       ...     ...         ...   \n",
+       "1743  198521          3   26096   19621.0   32571.0      47        35.0   \n",
+       "1744  198520          3   27896   20885.0   34907.0      51        38.0   \n",
+       "1745  198519          3   43154   32821.0   53487.0      78        59.0   \n",
+       "1746  198518          3   40555   29935.0   51175.0      74        55.0   \n",
+       "1747  198517          3   34053   24366.0   43740.0      62        44.0   \n",
+       "1748  198516          3   50362   36451.0   64273.0      91        66.0   \n",
+       "1749  198515          3   63881   45538.0   82224.0     116        83.0   \n",
+       "1750  198514          3  134545  114400.0  154690.0     244       207.0   \n",
+       "1751  198513          3  197206  176080.0  218332.0     357       319.0   \n",
+       "1752  198512          3  245240  223304.0  267176.0     445       405.0   \n",
+       "1753  198511          3  276205  252399.0  300011.0     501       458.0   \n",
+       "1754  198510          3  353231  326279.0  380183.0     640       591.0   \n",
+       "1755  198509          3  369895  341109.0  398681.0     670       618.0   \n",
+       "1756  198508          3  389886  359529.0  420243.0     707       652.0   \n",
+       "1757  198507          3  471852  432599.0  511105.0     855       784.0   \n",
+       "1758  198506          3  565825  518011.0  613639.0    1026       939.0   \n",
+       "1759  198505          3  637302  592795.0  681809.0    1155      1074.0   \n",
+       "1760  198504          3  424937  390794.0  459080.0     770       708.0   \n",
+       "1761  198503          3  213901  174689.0  253113.0     388       317.0   \n",
+       "1762  198502          3   97586   80949.0  114223.0     177       147.0   \n",
+       "1763  198501          3   85489   65918.0  105060.0     155       120.0   \n",
+       "1764  198452          3   84830   60602.0  109058.0     154       110.0   \n",
+       "1765  198451          3  101726   80242.0  123210.0     185       146.0   \n",
+       "1766  198450          3  123680  101401.0  145959.0     225       184.0   \n",
+       "1767  198449          3  101073   81684.0  120462.0     184       149.0   \n",
+       "1768  198448          3   78620   60634.0   96606.0     143       110.0   \n",
+       "1769  198447          3   72029   54274.0   89784.0     131        99.0   \n",
+       "1770  198446          3   87330   67686.0  106974.0     159       123.0   \n",
+       "1771  198445          3  135223  101414.0  169032.0     246       184.0   \n",
+       "1772  198444          3   68422   20056.0  116788.0     125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0          16.0        FR   France  \n",
+       "1          16.0        FR   France  \n",
+       "2          15.0        FR   France  \n",
+       "3          15.0        FR   France  \n",
+       "4          13.0        FR   France  \n",
+       "5          11.0        FR   France  \n",
+       "6           8.0        FR   France  \n",
+       "7           4.0        FR   France  \n",
+       "8           4.0        FR   France  \n",
+       "9           6.0        FR   France  \n",
+       "10          6.0        FR   France  \n",
+       "11          6.0        FR   France  \n",
+       "12          6.0        FR   France  \n",
+       "13          6.0        FR   France  \n",
+       "14          5.0        FR   France  \n",
+       "15          8.0        FR   France  \n",
+       "16          9.0        FR   France  \n",
+       "17         11.0        FR   France  \n",
+       "18          8.0        FR   France  \n",
+       "19          4.0        FR   France  \n",
+       "20          8.0        FR   France  \n",
+       "21          7.0        FR   France  \n",
+       "22          7.0        FR   France  \n",
+       "23          4.0        FR   France  \n",
+       "24          8.0        FR   France  \n",
+       "25          6.0        FR   France  \n",
+       "26         10.0        FR   France  \n",
+       "27         31.0        FR   France  \n",
+       "28         42.0        FR   France  \n",
+       "29         61.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1743       59.0        FR   France  \n",
+       "1744       64.0        FR   France  \n",
+       "1745       97.0        FR   France  \n",
+       "1746       93.0        FR   France  \n",
+       "1747       80.0        FR   France  \n",
+       "1748      116.0        FR   France  \n",
+       "1749      149.0        FR   France  \n",
+       "1750      281.0        FR   France  \n",
+       "1751      395.0        FR   France  \n",
+       "1752      485.0        FR   France  \n",
+       "1753      544.0        FR   France  \n",
+       "1754      689.0        FR   France  \n",
+       "1755      722.0        FR   France  \n",
+       "1756      762.0        FR   France  \n",
+       "1757      926.0        FR   France  \n",
+       "1758     1113.0        FR   France  \n",
+       "1759     1236.0        FR   France  \n",
+       "1760      832.0        FR   France  \n",
+       "1761      459.0        FR   France  \n",
+       "1762      207.0        FR   France  \n",
+       "1763      190.0        FR   France  \n",
+       "1764      198.0        FR   France  \n",
+       "1765      224.0        FR   France  \n",
+       "1766      266.0        FR   France  \n",
+       "1767      219.0        FR   France  \n",
+       "1768      176.0        FR   France  \n",
+       "1769      163.0        FR   France  \n",
+       "1770      195.0        FR   France  \n",
+       "1771      308.0        FR   France  \n",
+       "1772      213.0        FR   France  \n",
+       "\n",
+       "[1773 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data = pd.read_csv(data_url, encoding = 'iso-8859-1', skiprows=1)\n",
+    "raw_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Y a-t-il des points manquants dans ce jeux de données ? Oui, la semaine 19 de l'année 1989 n'a pas de valeurs associées."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\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>1536</th>\n",
+       "      <td>198919</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator  inc  inc_low  inc_up  inc100  inc100_low  inc100_up  \\\n",
+       "1536  198919          3    0      NaN     NaN       0         NaN        NaN   \n",
+       "\n",
+       "     geo_insee geo_name  \n",
+       "1536        FR   France  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data[raw_data.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nous éliminons ce point, ce qui n'a pas d'impact fort sur notre analyse qui est assez simple."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style>\n",
+       "    .dataframe thead tr:only-child th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\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>201842</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7832</td>\n",
+       "      <td>5145.0</td>\n",
+       "      <td>10519.0</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>1</th>\n",
+       "      <td>201841</td>\n",
+       "      <td>3</td>\n",
+       "      <td>8048</td>\n",
+       "      <td>5098.0</td>\n",
+       "      <td>10998.0</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>2</th>\n",
+       "      <td>201840</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7409</td>\n",
+       "      <td>4717.0</td>\n",
+       "      <td>10101.0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>201839</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7174</td>\n",
+       "      <td>4235.0</td>\n",
+       "      <td>10113.0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>201838</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6127</td>\n",
+       "      <td>3482.0</td>\n",
+       "      <td>8772.0</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>5</th>\n",
+       "      <td>201837</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4644</td>\n",
+       "      <td>2200.0</td>\n",
+       "      <td>7088.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>201836</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3215</td>\n",
+       "      <td>1349.0</td>\n",
+       "      <td>5081.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>201835</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1506</td>\n",
+       "      <td>239.0</td>\n",
+       "      <td>2773.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>201834</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1368</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>2620.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>201833</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1962</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3919.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>201832</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1839</td>\n",
+       "      <td>183.0</td>\n",
+       "      <td>3495.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>201831</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2048</td>\n",
+       "      <td>242.0</td>\n",
+       "      <td>3854.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>201830</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>202.0</td>\n",
+       "      <td>3700.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>201829</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>252.0</td>\n",
+       "      <td>3650.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>201828</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1654</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>3256.0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>201827</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3269</td>\n",
+       "      <td>1145.0</td>\n",
+       "      <td>5393.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>201826</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3758</td>\n",
+       "      <td>1493.0</td>\n",
+       "      <td>6023.0</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>17</th>\n",
+       "      <td>201825</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4580</td>\n",
+       "      <td>2220.0</td>\n",
+       "      <td>6940.0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>201824</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3223</td>\n",
+       "      <td>1351.0</td>\n",
+       "      <td>5095.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>201823</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1207</td>\n",
+       "      <td>136.0</td>\n",
+       "      <td>2278.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>201822</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3202</td>\n",
+       "      <td>1330.0</td>\n",
+       "      <td>5074.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>201821</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2537</td>\n",
+       "      <td>763.0</td>\n",
+       "      <td>4311.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>201820</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2694</td>\n",
+       "      <td>967.0</td>\n",
+       "      <td>4421.0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>201819</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1025</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2098.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>201818</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3541</td>\n",
+       "      <td>1416.0</td>\n",
+       "      <td>5666.0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>201817</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2573</td>\n",
+       "      <td>1003.0</td>\n",
+       "      <td>4143.0</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>26</th>\n",
+       "      <td>201816</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4818</td>\n",
+       "      <td>2724.0</td>\n",
+       "      <td>6912.0</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>27</th>\n",
+       "      <td>201815</td>\n",
+       "      <td>3</td>\n",
+       "      <td>16311</td>\n",
+       "      <td>12168.0</td>\n",
+       "      <td>20454.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>201814</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22666</td>\n",
+       "      <td>18092.0</td>\n",
+       "      <td>27240.0</td>\n",
+       "      <td>35</td>\n",
+       "      <td>28.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>201813</td>\n",
+       "      <td>3</td>\n",
+       "      <td>32680</td>\n",
+       "      <td>25536.0</td>\n",
+       "      <td>39824.0</td>\n",
+       "      <td>50</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1743</th>\n",
+       "      <td>198521</td>\n",
+       "      <td>3</td>\n",
+       "      <td>26096</td>\n",
+       "      <td>19621.0</td>\n",
+       "      <td>32571.0</td>\n",
+       "      <td>47</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1744</th>\n",
+       "      <td>198520</td>\n",
+       "      <td>3</td>\n",
+       "      <td>27896</td>\n",
+       "      <td>20885.0</td>\n",
+       "      <td>34907.0</td>\n",
+       "      <td>51</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1745</th>\n",
+       "      <td>198519</td>\n",
+       "      <td>3</td>\n",
+       "      <td>43154</td>\n",
+       "      <td>32821.0</td>\n",
+       "      <td>53487.0</td>\n",
+       "      <td>78</td>\n",
+       "      <td>59.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1746</th>\n",
+       "      <td>198518</td>\n",
+       "      <td>3</td>\n",
+       "      <td>40555</td>\n",
+       "      <td>29935.0</td>\n",
+       "      <td>51175.0</td>\n",
+       "      <td>74</td>\n",
+       "      <td>55.0</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1747</th>\n",
+       "      <td>198517</td>\n",
+       "      <td>3</td>\n",
+       "      <td>34053</td>\n",
+       "      <td>24366.0</td>\n",
+       "      <td>43740.0</td>\n",
+       "      <td>62</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1748</th>\n",
+       "      <td>198516</td>\n",
+       "      <td>3</td>\n",
+       "      <td>50362</td>\n",
+       "      <td>36451.0</td>\n",
+       "      <td>64273.0</td>\n",
+       "      <td>91</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1749</th>\n",
+       "      <td>198515</td>\n",
+       "      <td>3</td>\n",
+       "      <td>63881</td>\n",
+       "      <td>45538.0</td>\n",
+       "      <td>82224.0</td>\n",
+       "      <td>116</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1750</th>\n",
+       "      <td>198514</td>\n",
+       "      <td>3</td>\n",
+       "      <td>134545</td>\n",
+       "      <td>114400.0</td>\n",
+       "      <td>154690.0</td>\n",
+       "      <td>244</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>281.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1751</th>\n",
+       "      <td>198513</td>\n",
+       "      <td>3</td>\n",
+       "      <td>197206</td>\n",
+       "      <td>176080.0</td>\n",
+       "      <td>218332.0</td>\n",
+       "      <td>357</td>\n",
+       "      <td>319.0</td>\n",
+       "      <td>395.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1752</th>\n",
+       "      <td>198512</td>\n",
+       "      <td>3</td>\n",
+       "      <td>245240</td>\n",
+       "      <td>223304.0</td>\n",
+       "      <td>267176.0</td>\n",
+       "      <td>445</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>485.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1753</th>\n",
+       "      <td>198511</td>\n",
+       "      <td>3</td>\n",
+       "      <td>276205</td>\n",
+       "      <td>252399.0</td>\n",
+       "      <td>300011.0</td>\n",
+       "      <td>501</td>\n",
+       "      <td>458.0</td>\n",
+       "      <td>544.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1754</th>\n",
+       "      <td>198510</td>\n",
+       "      <td>3</td>\n",
+       "      <td>353231</td>\n",
+       "      <td>326279.0</td>\n",
+       "      <td>380183.0</td>\n",
+       "      <td>640</td>\n",
+       "      <td>591.0</td>\n",
+       "      <td>689.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1755</th>\n",
+       "      <td>198509</td>\n",
+       "      <td>3</td>\n",
+       "      <td>369895</td>\n",
+       "      <td>341109.0</td>\n",
+       "      <td>398681.0</td>\n",
+       "      <td>670</td>\n",
+       "      <td>618.0</td>\n",
+       "      <td>722.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1756</th>\n",
+       "      <td>198508</td>\n",
+       "      <td>3</td>\n",
+       "      <td>389886</td>\n",
+       "      <td>359529.0</td>\n",
+       "      <td>420243.0</td>\n",
+       "      <td>707</td>\n",
+       "      <td>652.0</td>\n",
+       "      <td>762.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1757</th>\n",
+       "      <td>198507</td>\n",
+       "      <td>3</td>\n",
+       "      <td>471852</td>\n",
+       "      <td>432599.0</td>\n",
+       "      <td>511105.0</td>\n",
+       "      <td>855</td>\n",
+       "      <td>784.0</td>\n",
+       "      <td>926.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1758</th>\n",
+       "      <td>198506</td>\n",
+       "      <td>3</td>\n",
+       "      <td>565825</td>\n",
+       "      <td>518011.0</td>\n",
+       "      <td>613639.0</td>\n",
+       "      <td>1026</td>\n",
+       "      <td>939.0</td>\n",
+       "      <td>1113.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1759</th>\n",
+       "      <td>198505</td>\n",
+       "      <td>3</td>\n",
+       "      <td>637302</td>\n",
+       "      <td>592795.0</td>\n",
+       "      <td>681809.0</td>\n",
+       "      <td>1155</td>\n",
+       "      <td>1074.0</td>\n",
+       "      <td>1236.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1760</th>\n",
+       "      <td>198504</td>\n",
+       "      <td>3</td>\n",
+       "      <td>424937</td>\n",
+       "      <td>390794.0</td>\n",
+       "      <td>459080.0</td>\n",
+       "      <td>770</td>\n",
+       "      <td>708.0</td>\n",
+       "      <td>832.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1761</th>\n",
+       "      <td>198503</td>\n",
+       "      <td>3</td>\n",
+       "      <td>213901</td>\n",
+       "      <td>174689.0</td>\n",
+       "      <td>253113.0</td>\n",
+       "      <td>388</td>\n",
+       "      <td>317.0</td>\n",
+       "      <td>459.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1762</th>\n",
+       "      <td>198502</td>\n",
+       "      <td>3</td>\n",
+       "      <td>97586</td>\n",
+       "      <td>80949.0</td>\n",
+       "      <td>114223.0</td>\n",
+       "      <td>177</td>\n",
+       "      <td>147.0</td>\n",
+       "      <td>207.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1763</th>\n",
+       "      <td>198501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>85489</td>\n",
+       "      <td>65918.0</td>\n",
+       "      <td>105060.0</td>\n",
+       "      <td>155</td>\n",
+       "      <td>120.0</td>\n",
+       "      <td>190.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1764</th>\n",
+       "      <td>198452</td>\n",
+       "      <td>3</td>\n",
+       "      <td>84830</td>\n",
+       "      <td>60602.0</td>\n",
+       "      <td>109058.0</td>\n",
+       "      <td>154</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>198.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1765</th>\n",
+       "      <td>198451</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101726</td>\n",
+       "      <td>80242.0</td>\n",
+       "      <td>123210.0</td>\n",
+       "      <td>185</td>\n",
+       "      <td>146.0</td>\n",
+       "      <td>224.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1766</th>\n",
+       "      <td>198450</td>\n",
+       "      <td>3</td>\n",
+       "      <td>123680</td>\n",
+       "      <td>101401.0</td>\n",
+       "      <td>145959.0</td>\n",
+       "      <td>225</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>266.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1767</th>\n",
+       "      <td>198449</td>\n",
+       "      <td>3</td>\n",
+       "      <td>101073</td>\n",
+       "      <td>81684.0</td>\n",
+       "      <td>120462.0</td>\n",
+       "      <td>184</td>\n",
+       "      <td>149.0</td>\n",
+       "      <td>219.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1768</th>\n",
+       "      <td>198448</td>\n",
+       "      <td>3</td>\n",
+       "      <td>78620</td>\n",
+       "      <td>60634.0</td>\n",
+       "      <td>96606.0</td>\n",
+       "      <td>143</td>\n",
+       "      <td>110.0</td>\n",
+       "      <td>176.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1769</th>\n",
+       "      <td>198447</td>\n",
+       "      <td>3</td>\n",
+       "      <td>72029</td>\n",
+       "      <td>54274.0</td>\n",
+       "      <td>89784.0</td>\n",
+       "      <td>131</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>163.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1770</th>\n",
+       "      <td>198446</td>\n",
+       "      <td>3</td>\n",
+       "      <td>87330</td>\n",
+       "      <td>67686.0</td>\n",
+       "      <td>106974.0</td>\n",
+       "      <td>159</td>\n",
+       "      <td>123.0</td>\n",
+       "      <td>195.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1771</th>\n",
+       "      <td>198445</td>\n",
+       "      <td>3</td>\n",
+       "      <td>135223</td>\n",
+       "      <td>101414.0</td>\n",
+       "      <td>169032.0</td>\n",
+       "      <td>246</td>\n",
+       "      <td>184.0</td>\n",
+       "      <td>308.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1772</th>\n",
+       "      <td>198444</td>\n",
+       "      <td>3</td>\n",
+       "      <td>68422</td>\n",
+       "      <td>20056.0</td>\n",
+       "      <td>116788.0</td>\n",
+       "      <td>125</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>213.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1772 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up  inc100  inc100_low  \\\n",
+       "0     201842          3    7832    5145.0   10519.0      12         8.0   \n",
+       "1     201841          3    8048    5098.0   10998.0      12         8.0   \n",
+       "2     201840          3    7409    4717.0   10101.0      11         7.0   \n",
+       "3     201839          3    7174    4235.0   10113.0      11         7.0   \n",
+       "4     201838          3    6127    3482.0    8772.0       9         5.0   \n",
+       "5     201837          3    4644    2200.0    7088.0       7         3.0   \n",
+       "6     201836          3    3215    1349.0    5081.0       5         2.0   \n",
+       "7     201835          3    1506     239.0    2773.0       2         0.0   \n",
+       "8     201834          3    1368     116.0    2620.0       2         0.0   \n",
+       "9     201833          3    1962       5.0    3919.0       3         0.0   \n",
+       "10    201832          3    1839     183.0    3495.0       3         0.0   \n",
+       "11    201831          3    2048     242.0    3854.0       3         0.0   \n",
+       "12    201830          3    1951     202.0    3700.0       3         0.0   \n",
+       "13    201829          3    1951     252.0    3650.0       3         0.0   \n",
+       "14    201828          3    1654      52.0    3256.0       3         1.0   \n",
+       "15    201827          3    3269    1145.0    5393.0       5         2.0   \n",
+       "16    201826          3    3758    1493.0    6023.0       6         3.0   \n",
+       "17    201825          3    4580    2220.0    6940.0       7         3.0   \n",
+       "18    201824          3    3223    1351.0    5095.0       5         2.0   \n",
+       "19    201823          3    1207     136.0    2278.0       2         0.0   \n",
+       "20    201822          3    3202    1330.0    5074.0       5         2.0   \n",
+       "21    201821          3    2537     763.0    4311.0       4         1.0   \n",
+       "22    201820          3    2694     967.0    4421.0       4         1.0   \n",
+       "23    201819          3    1025       0.0    2098.0       2         0.0   \n",
+       "24    201818          3    3541    1416.0    5666.0       5         2.0   \n",
+       "25    201817          3    2573    1003.0    4143.0       4         2.0   \n",
+       "26    201816          3    4818    2724.0    6912.0       7         4.0   \n",
+       "27    201815          3   16311   12168.0   20454.0      25        19.0   \n",
+       "28    201814          3   22666   18092.0   27240.0      35        28.0   \n",
+       "29    201813          3   32680   25536.0   39824.0      50        39.0   \n",
+       "...      ...        ...     ...       ...       ...     ...         ...   \n",
+       "1743  198521          3   26096   19621.0   32571.0      47        35.0   \n",
+       "1744  198520          3   27896   20885.0   34907.0      51        38.0   \n",
+       "1745  198519          3   43154   32821.0   53487.0      78        59.0   \n",
+       "1746  198518          3   40555   29935.0   51175.0      74        55.0   \n",
+       "1747  198517          3   34053   24366.0   43740.0      62        44.0   \n",
+       "1748  198516          3   50362   36451.0   64273.0      91        66.0   \n",
+       "1749  198515          3   63881   45538.0   82224.0     116        83.0   \n",
+       "1750  198514          3  134545  114400.0  154690.0     244       207.0   \n",
+       "1751  198513          3  197206  176080.0  218332.0     357       319.0   \n",
+       "1752  198512          3  245240  223304.0  267176.0     445       405.0   \n",
+       "1753  198511          3  276205  252399.0  300011.0     501       458.0   \n",
+       "1754  198510          3  353231  326279.0  380183.0     640       591.0   \n",
+       "1755  198509          3  369895  341109.0  398681.0     670       618.0   \n",
+       "1756  198508          3  389886  359529.0  420243.0     707       652.0   \n",
+       "1757  198507          3  471852  432599.0  511105.0     855       784.0   \n",
+       "1758  198506          3  565825  518011.0  613639.0    1026       939.0   \n",
+       "1759  198505          3  637302  592795.0  681809.0    1155      1074.0   \n",
+       "1760  198504          3  424937  390794.0  459080.0     770       708.0   \n",
+       "1761  198503          3  213901  174689.0  253113.0     388       317.0   \n",
+       "1762  198502          3   97586   80949.0  114223.0     177       147.0   \n",
+       "1763  198501          3   85489   65918.0  105060.0     155       120.0   \n",
+       "1764  198452          3   84830   60602.0  109058.0     154       110.0   \n",
+       "1765  198451          3  101726   80242.0  123210.0     185       146.0   \n",
+       "1766  198450          3  123680  101401.0  145959.0     225       184.0   \n",
+       "1767  198449          3  101073   81684.0  120462.0     184       149.0   \n",
+       "1768  198448          3   78620   60634.0   96606.0     143       110.0   \n",
+       "1769  198447          3   72029   54274.0   89784.0     131        99.0   \n",
+       "1770  198446          3   87330   67686.0  106974.0     159       123.0   \n",
+       "1771  198445          3  135223  101414.0  169032.0     246       184.0   \n",
+       "1772  198444          3   68422   20056.0  116788.0     125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0          16.0        FR   France  \n",
+       "1          16.0        FR   France  \n",
+       "2          15.0        FR   France  \n",
+       "3          15.0        FR   France  \n",
+       "4          13.0        FR   France  \n",
+       "5          11.0        FR   France  \n",
+       "6           8.0        FR   France  \n",
+       "7           4.0        FR   France  \n",
+       "8           4.0        FR   France  \n",
+       "9           6.0        FR   France  \n",
+       "10          6.0        FR   France  \n",
+       "11          6.0        FR   France  \n",
+       "12          6.0        FR   France  \n",
+       "13          6.0        FR   France  \n",
+       "14          5.0        FR   France  \n",
+       "15          8.0        FR   France  \n",
+       "16          9.0        FR   France  \n",
+       "17         11.0        FR   France  \n",
+       "18          8.0        FR   France  \n",
+       "19          4.0        FR   France  \n",
+       "20          8.0        FR   France  \n",
+       "21          7.0        FR   France  \n",
+       "22          7.0        FR   France  \n",
+       "23          4.0        FR   France  \n",
+       "24          8.0        FR   France  \n",
+       "25          6.0        FR   France  \n",
+       "26         10.0        FR   France  \n",
+       "27         31.0        FR   France  \n",
+       "28         42.0        FR   France  \n",
+       "29         61.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1743       59.0        FR   France  \n",
+       "1744       64.0        FR   France  \n",
+       "1745       97.0        FR   France  \n",
+       "1746       93.0        FR   France  \n",
+       "1747       80.0        FR   France  \n",
+       "1748      116.0        FR   France  \n",
+       "1749      149.0        FR   France  \n",
+       "1750      281.0        FR   France  \n",
+       "1751      395.0        FR   France  \n",
+       "1752      485.0        FR   France  \n",
+       "1753      544.0        FR   France  \n",
+       "1754      689.0        FR   France  \n",
+       "1755      722.0        FR   France  \n",
+       "1756      762.0        FR   France  \n",
+       "1757      926.0        FR   France  \n",
+       "1758     1113.0        FR   France  \n",
+       "1759     1236.0        FR   France  \n",
+       "1760      832.0        FR   France  \n",
+       "1761      459.0        FR   France  \n",
+       "1762      207.0        FR   France  \n",
+       "1763      190.0        FR   France  \n",
+       "1764      198.0        FR   France  \n",
+       "1765      224.0        FR   France  \n",
+       "1766      266.0        FR   France  \n",
+       "1767      219.0        FR   France  \n",
+       "1768      176.0        FR   France  \n",
+       "1769      163.0        FR   France  \n",
+       "1770      195.0        FR   France  \n",
+       "1771      308.0        FR   France  \n",
+       "1772      213.0        FR   France  \n",
+       "\n",
+       "[1772 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = raw_data.dropna().copy()\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nos données utilisent une convention inhabituelle: le numéro de\n",
+    "semaine est collé à l'année, donnant l'impression qu'il s'agit\n",
+    "de nombre entier. C'est comme ça que Pandas les interprète.\n",
+    "  \n",
+    "Un deuxième problème est que Pandas ne comprend pas les numéros de\n",
+    "semaine.  Il faut lui fournir les dates de début et de fin de\n",
+    "semaine. Nous utilisons pour cela la bibliothèque `isoweek`.\n",
+    "\n",
+    "Comme la conversion des semaines est devenu assez complexe, nous\n",
+    "écrivons une petite fonction Python pour cela. Ensuite, nous\n",
+    "l'appliquons à tous les points de nos donnés. Les résultats vont\n",
+    "dans une nouvelle colonne 'period'."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "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": "markdown",
+   "metadata": {},
+   "source": [
+    "Il restent deux petites modifications à faire.\n",
+    "\n",
+    "Premièrement, nous définissons les périodes d'observation\n",
+    "comme nouvel index de notre jeux de données. Ceci en fait\n",
+    "une suite chronologique, ce qui sera pratique par la suite.\n",
+    "\n",
+    "Deuxièmement, nous trions les points par période, dans\n",
+    "le sens chronologique."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "sorted_data = data.set_index('period').sort_index()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Nous vérifions la cohérence des données. Entre la fin d'une période et\n",
+    "le début de la période qui suit, la différence temporelle doit être\n",
+    "zéro, ou au moins très faible. Nous laissons une \"marge d'erreur\"\n",
+    "d'une seconde.\n",
+    "\n",
+    "Ceci s'avère tout à fait juste sauf pour deux périodes consécutives\n",
+    "entre lesquelles il manque une semaine.\n",
+    "\n",
+    "Nous reconnaissons ces dates: c'est la semaine sans observations\n",
+    "que nous avions supprimées !"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n"
+     ]
+    }
+   ],
+   "source": [
+    "periods = sorted_data.index\n",
+    "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
+    "    delta = p2.to_timestamp() - p1.end_time\n",
+    "    if delta > pd.Timedelta('1s'):\n",
+    "        print(p1, p2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Un premier regard sur les données !"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x1198af710>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAEPCAYAAAC+35gCAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYRiGYQRjomEYhmEE8/8B7bUFBeO7tZIAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1175beef0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data['inc'].plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Un zoom sur les dernières années montre mieux la situation des pics en hiver. Le creux des incidences se trouve en été."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11bc57c18>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEbCAYAAAAxukhGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11bc67048>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data['inc'][-200:].plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Etude de l'incidence annuelle"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Etant donné que le pic de l'épidémie se situe en hiver, à cheval\n",
+    "entre deux années civiles, nous définissons la période de référence\n",
+    "entre deux minima de l'incidence, du 1er août de l'année $N$ au\n",
+    "1er août de l'année $N+1$.\n",
+    "\n",
+    "Notre tâche est un peu compliquée par le fait que l'année ne comporte\n",
+    "pas un nombre entier de semaines. Nous modifions donc un peu nos périodes\n",
+    "de référence: à la place du 1er août de chaque année, nous utilisons le\n",
+    "premier jour de la semaine qui contient le 1er août.\n",
+    "\n",
+    "Comme l'incidence de syndrome grippal est très faible en été, cette\n",
+    "modification ne risque pas de fausser nos conclusions.\n",
+    "\n",
+    "Encore un petit détail: les données commencent an octobre 1984, ce qui\n",
+    "rend la première année incomplète. Nous commençons donc l'analyse en 1985."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
+    "                     for y in range(1985,\n",
+    "                                    sorted_data.index[-1].year)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "En partant de cette liste des semaines qui contiennent un 1er août, nous obtenons nos intervalles d'environ un an comme les périodes entre deux semaines adjacentes dans cette liste. Nous calculons les sommes des incidences hebdomadaires pour toutes ces périodes.\n",
+    "\n",
+    "Nous vérifions également que ces périodes contiennent entre 51 et 52 semaines, pour nous protéger contre des éventuelles erreurs dans notre code."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "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": "markdown",
+   "metadata": {},
+   "source": [
+    "Voici les incidences annuelles."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11c090f60>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAEACAYAAABPiSrXAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nZpabg4aZmeXmoGFmZrn9f1gAJxPxoq2fAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11bc2bfd0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "yearly_incidence.plot(style='*')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Une liste triée permet de plus facilement répérer les valeurs les plus élevées (à la fin)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2014    1600941\n",
+       "1991    1659249\n",
+       "1995    1840410\n",
+       "2012    2175217\n",
+       "2003    2234584\n",
+       "2006    2307352\n",
+       "2017    2321583\n",
+       "2001    2529279\n",
+       "1992    2574578\n",
+       "1993    2703886\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"
+    }
+   ],
+   "source": [
+    "yearly_incidence.sort_values()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Enfin, un histogramme montre bien que les épidémies fortes, qui touchent environ 10% de la population\n",
+    "  française, sont assez rares: il y en eu trois au cours des 35 dernières années."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x11c2cfa90>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEPCAYAAABcA4N7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11c260a20>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "yearly_incidence.hist(xrot=20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/module3/exo2/incidence-PAY-7.csv b/module3/exo2/incidence-PAY-7.csv
new file mode 100644
index 0000000000000000000000000000000000000000..be518f233c34b1fbf36c39bcadf1ecdafb1e02bb
--- /dev/null
+++ b/module3/exo2/incidence-PAY-7.csv
@@ -0,0 +1,1730 @@
+# @source="r&#233;seau Sentinelles, INSERM, Sorbonne Universit&#233;, https://www.sentiweb.fr", @meta={"period":[199049,202402],"geo":["PAY",1],"geo_ref":"insee","indicator":"7","type":"all","conf_int":true,"compact":false,"age_group":false}, @date=2024-01-17T17:31:43+01:00, bundle=1705509089
+week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
+202402,7,8021,5132,10910,12,8,16,FR,France
+202401,7,13467,9285,17649,20,14,26,FR,France
+202352,7,11636,7354,15918,18,12,24,FR,France
+202351,7,6912,4227,9597,10,6,14,FR,France
+202350,7,8799,6215,11383,13,9,17,FR,France
+202349,7,7817,5362,10272,12,8,16,FR,France
+202348,7,7351,4749,9953,11,7,15,FR,France
+202347,7,6537,4277,8797,10,7,13,FR,France
+202346,7,5223,2968,7478,8,5,11,FR,France
+202345,7,5007,2675,7339,8,4,12,FR,France
+202344,7,3688,1664,5712,6,3,9,FR,France
+202343,7,3891,1675,6107,6,3,9,FR,France
+202342,7,3968,1212,6724,6,2,10,FR,France
+202341,7,3356,1764,4948,5,3,7,FR,France
+202340,7,2845,1410,4280,4,2,6,FR,France
+202339,7,1739,629,2849,3,1,5,FR,France
+202338,7,1663,274,3052,3,1,5,FR,France
+202337,7,1122,223,2021,2,1,3,FR,France
+202336,7,726,10,1442,1,0,2,FR,France
+202335,7,961,96,1826,1,0,2,FR,France
+202334,7,1168,9,2327,2,0,4,FR,France
+202333,7,3308,1184,5432,5,2,8,FR,France
+202332,7,7996,1120,14872,12,2,22,FR,France
+202331,7,3318,1398,5238,5,2,8,FR,France
+202330,7,5821,3269,8373,9,5,13,FR,France
+202329,7,13558,8297,18819,20,12,28,FR,France
+202328,7,6700,4043,9357,10,6,14,FR,France
+202327,7,7253,4599,9907,11,7,15,FR,France
+202326,7,9192,6223,12161,14,10,18,FR,France
+202325,7,11498,8257,14739,17,12,22,FR,France
+202324,7,11115,7968,14262,17,12,22,FR,France
+202323,7,12563,6134,18992,19,9,29,FR,France
+202322,7,12184,8125,16243,18,12,24,FR,France
+202321,7,11349,7598,15100,17,11,23,FR,France
+202320,7,9000,4615,13385,14,7,21,FR,France
+202319,7,9344,6091,12597,14,9,19,FR,France
+202318,7,10671,7291,14051,16,11,21,FR,France
+202317,7,9184,6162,12206,14,9,19,FR,France
+202316,7,11387,8014,14760,17,12,22,FR,France
+202315,7,14040,7613,20467,21,11,31,FR,France
+202314,7,15247,11032,19462,23,17,29,FR,France
+202313,7,13322,9700,16944,20,15,25,FR,France
+202312,7,10374,7218,13530,16,11,21,FR,France
+202311,7,4919,2880,6958,7,4,10,FR,France
+202310,7,4854,2731,6977,7,4,10,FR,France
+202309,7,7004,4548,9460,11,7,15,FR,France
+202308,7,8175,5316,11034,12,8,16,FR,France
+202307,7,6595,3782,9408,10,6,14,FR,France
+202306,7,9595,6017,13173,14,9,19,FR,France
+202305,7,6237,3907,8567,9,5,13,FR,France
+202304,7,6299,3973,8625,9,6,12,FR,France
+202303,7,6063,3798,8328,9,6,12,FR,France
+202302,7,6576,3060,10092,10,5,15,FR,France
+202301,7,8153,5470,10836,12,8,16,FR,France
+202252,7,5171,2717,7625,8,4,12,FR,France
+202251,7,6226,3822,8630,9,5,13,FR,France
+202250,7,6590,3100,10080,10,5,15,FR,France
+202249,7,5095,3212,6978,8,5,11,FR,France
+202248,7,4985,3043,6927,8,5,11,FR,France
+202247,7,6087,3733,8441,9,5,13,FR,France
+202246,7,3033,1392,4674,5,3,7,FR,France
+202245,7,3827,1720,5934,6,3,9,FR,France
+202244,7,4271,2231,6311,6,3,9,FR,France
+202243,7,5863,3302,8424,9,5,13,FR,France
+202242,7,3770,1950,5590,6,3,9,FR,France
+202241,7,4177,2219,6135,6,3,9,FR,France
+202240,7,4883,1472,8294,7,2,12,FR,France
+202239,7,2041,331,3751,3,0,6,FR,France
+202238,7,1771,419,3123,3,1,5,FR,France
+202237,7,1725,499,2951,3,1,5,FR,France
+202236,7,1069,178,1960,2,1,3,FR,France
+202235,7,1581,400,2762,2,0,4,FR,France
+202234,7,2266,788,3744,3,1,5,FR,France
+202233,7,7340,0,17399,11,0,26,FR,France
+202232,7,7801,4086,11516,12,6,18,FR,France
+202231,7,6896,4170,9622,10,6,14,FR,France
+202230,7,9039,5770,12308,14,9,19,FR,France
+202229,7,14851,10060,19642,22,15,29,FR,France
+202228,7,15471,11028,19914,23,16,30,FR,France
+202227,7,21191,16198,26184,32,24,40,FR,France
+202226,7,16854,12806,20902,25,19,31,FR,France
+202225,7,22266,18027,26505,34,28,40,FR,France
+202224,7,22458,18105,26811,34,27,41,FR,France
+202223,7,18772,14875,22669,28,22,34,FR,France
+202222,7,18965,14985,22945,29,23,35,FR,France
+202221,7,20310,16307,24313,31,25,37,FR,France
+202220,7,23585,19004,28166,36,29,43,FR,France
+202219,7,18593,14181,23005,28,21,35,FR,France
+202218,7,17851,13963,21739,27,21,33,FR,France
+202217,7,20314,16001,24627,31,24,38,FR,France
+202216,7,19660,14860,24460,30,23,37,FR,France
+202215,7,17799,13715,21883,27,21,33,FR,France
+202214,7,17005,13162,20848,26,20,32,FR,France
+202213,7,15448,11659,19237,23,17,29,FR,France
+202212,7,14702,10794,18610,22,16,28,FR,France
+202211,7,11729,8347,15111,18,13,23,FR,France
+202210,7,13314,10036,16592,20,15,25,FR,France
+202209,7,10485,7600,13370,16,12,20,FR,France
+202208,7,12088,8741,15435,18,13,23,FR,France
+202207,7,14003,10789,17217,21,16,26,FR,France
+202206,7,9798,7048,12548,15,11,19,FR,France
+202205,7,10851,7797,13905,16,11,21,FR,France
+202204,7,9547,6721,12373,14,10,18,FR,France
+202203,7,13972,10680,17264,21,16,26,FR,France
+202202,7,8495,6026,10964,13,9,17,FR,France
+202201,7,13793,10597,16989,21,16,26,FR,France
+202152,7,13239,9611,16867,20,15,25,FR,France
+202151,7,13326,9629,17023,20,14,26,FR,France
+202150,7,14128,10312,17944,21,15,27,FR,France
+202149,7,13674,10369,16979,21,16,26,FR,France
+202148,7,11549,8503,14595,17,12,22,FR,France
+202147,7,11419,8376,14462,17,12,22,FR,France
+202146,7,8216,5724,10708,12,8,16,FR,France
+202145,7,8965,6468,11462,14,10,18,FR,France
+202144,7,8736,5636,11836,13,8,18,FR,France
+202143,7,8145,5164,11126,12,7,17,FR,France
+202142,7,9443,6037,12849,14,9,19,FR,France
+202141,7,4021,2239,5803,6,3,9,FR,France
+202140,7,4441,2454,6428,7,4,10,FR,France
+202139,7,2291,1056,3526,3,1,5,FR,France
+202138,7,4325,2267,6383,7,4,10,FR,France
+202137,7,1964,754,3174,3,1,5,FR,France
+202136,7,3441,1730,5152,5,2,8,FR,France
+202135,7,2562,1107,4017,4,2,6,FR,France
+202134,7,1429,378,2480,2,0,4,FR,France
+202133,7,3829,1830,5828,6,3,9,FR,France
+202132,7,4108,1895,6321,6,3,9,FR,France
+202131,7,4793,2301,7285,7,3,11,FR,France
+202130,7,7190,4191,10189,11,6,16,FR,France
+202129,7,6800,4109,9491,10,6,14,FR,France
+202128,7,9734,0,21731,15,0,33,FR,France
+202127,7,9026,4316,13736,14,7,21,FR,France
+202126,7,7284,4108,10460,11,6,16,FR,France
+202125,7,9351,6540,12162,14,10,18,FR,France
+202124,7,12034,8937,15131,18,13,23,FR,France
+202123,7,9116,6420,11812,14,10,18,FR,France
+202122,7,4817,2752,6882,7,4,10,FR,France
+202121,7,6092,3458,8726,9,5,13,FR,France
+202120,7,7485,4601,10369,11,7,15,FR,France
+202119,7,6654,4370,8938,10,7,13,FR,France
+202118,7,3912,2110,5714,6,3,9,FR,France
+202117,7,4686,2878,6494,7,4,10,FR,France
+202116,7,4780,2891,6669,7,4,10,FR,France
+202115,7,11215,7627,14803,17,12,22,FR,France
+202114,7,11197,7994,14400,17,12,22,FR,France
+202113,7,9714,6289,13139,15,10,20,FR,France
+202112,7,11520,8415,14625,17,12,22,FR,France
+202111,7,9386,6678,12094,14,10,18,FR,France
+202110,7,9056,6452,11660,14,10,18,FR,France
+202109,7,10988,7938,14038,17,12,22,FR,France
+202108,7,11281,8361,14201,17,13,21,FR,France
+202107,7,13561,10315,16807,21,16,26,FR,France
+202106,7,13401,9810,16992,20,15,25,FR,France
+202105,7,12210,8988,15432,18,13,23,FR,France
+202104,7,12026,8826,15226,18,13,23,FR,France
+202103,7,8913,6375,11451,13,9,17,FR,France
+202102,7,7795,5430,10160,12,8,16,FR,France
+202101,7,10525,7750,13300,16,12,20,FR,France
+202053,7,11978,8406,15550,18,13,23,FR,France
+202052,7,12012,8285,15739,18,12,24,FR,France
+202051,7,10564,7574,13554,16,11,21,FR,France
+202050,7,7063,4744,9382,11,7,15,FR,France
+202049,7,5026,3145,6907,8,5,11,FR,France
+202048,7,6683,4312,9054,10,6,14,FR,France
+202047,7,4999,2963,7035,8,5,11,FR,France
+202046,7,3752,1963,5541,6,3,9,FR,France
+202045,7,3696,2016,5376,6,3,9,FR,France
+202044,7,4391,2375,6407,7,4,10,FR,France
+202043,7,4376,2505,6247,7,4,10,FR,France
+202042,7,4000,1979,6021,6,3,9,FR,France
+202041,7,3961,2099,5823,6,3,9,FR,France
+202040,7,2078,675,3481,3,1,5,FR,France
+202039,7,1049,237,1861,2,1,3,FR,France
+202038,7,2251,781,3721,3,1,5,FR,France
+202037,7,1584,405,2763,2,0,4,FR,France
+202036,7,919,100,1738,1,0,2,FR,France
+202035,7,828,0,1694,1,0,2,FR,France
+202034,7,2272,371,4173,3,0,6,FR,France
+202033,7,1284,177,2391,2,0,4,FR,France
+202032,7,2650,689,4611,4,1,7,FR,France
+202031,7,1303,100,2506,2,0,4,FR,France
+202030,7,1385,75,2695,2,0,4,FR,France
+202029,7,841,10,1672,1,0,2,FR,France
+202028,7,728,0,1515,1,0,2,FR,France
+202027,7,986,149,1823,1,0,2,FR,France
+202026,7,694,0,1454,1,0,2,FR,France
+202025,7,228,0,597,0,0,1,FR,France
+202024,7,388,0,959,1,0,2,FR,France
+202023,7,558,1,1115,1,0,2,FR,France
+202022,7,277,0,633,0,0,1,FR,France
+202021,7,602,36,1168,1,0,2,FR,France
+202020,7,824,20,1628,1,0,2,FR,France
+202019,7,310,0,753,0,0,1,FR,France
+202018,7,849,98,1600,1,0,2,FR,France
+202017,7,272,0,658,0,0,1,FR,France
+202016,7,758,78,1438,1,0,2,FR,France
+202015,7,1918,675,3161,3,1,5,FR,France
+202014,7,3879,2227,5531,6,3,9,FR,France
+202013,7,7326,5236,9416,11,8,14,FR,France
+202012,7,8123,5790,10456,12,8,16,FR,France
+202011,7,10198,7568,12828,15,11,19,FR,France
+202010,7,9011,6691,11331,14,10,18,FR,France
+202009,7,13631,10544,16718,21,16,26,FR,France
+202008,7,10424,7708,13140,16,12,20,FR,France
+202007,7,8959,6574,11344,14,10,18,FR,France
+202006,7,9264,6925,11603,14,10,18,FR,France
+202005,7,8505,6314,10696,13,10,16,FR,France
+202004,7,7991,5831,10151,12,9,15,FR,France
+202003,7,5968,4100,7836,9,6,12,FR,France
+202002,7,6534,4530,8538,10,7,13,FR,France
+202001,7,9835,7019,12651,15,11,19,FR,France
+201952,7,7941,5246,10636,12,8,16,FR,France
+201951,7,5823,3675,7971,9,6,12,FR,France
+201950,7,6424,4276,8572,10,7,13,FR,France
+201949,7,6621,4540,8702,10,7,13,FR,France
+201948,7,5542,3383,7701,8,5,11,FR,France
+201947,7,7536,5058,10014,11,7,15,FR,France
+201946,7,2638,1316,3960,4,2,6,FR,France
+201945,7,4492,2615,6369,7,4,10,FR,France
+201944,7,5728,3627,7829,9,6,12,FR,France
+201943,7,4834,2751,6917,7,4,10,FR,France
+201942,7,6279,3989,8569,10,7,13,FR,France
+201941,7,4130,2030,6230,6,3,9,FR,France
+201940,7,4211,2218,6204,6,3,9,FR,France
+201939,7,3137,1310,4964,5,2,8,FR,France
+201938,7,3078,1416,4740,5,2,8,FR,France
+201937,7,970,162,1778,1,0,2,FR,France
+201936,7,1277,263,2291,2,0,4,FR,France
+201935,7,922,0,1857,1,0,2,FR,France
+201934,7,1997,605,3389,3,1,5,FR,France
+201933,7,3279,1103,5455,5,2,8,FR,France
+201932,7,3627,1576,5678,6,3,9,FR,France
+201931,7,7611,4605,10617,12,7,17,FR,France
+201930,7,8875,5629,12121,13,8,18,FR,France
+201929,7,10658,7151,14165,16,11,21,FR,France
+201928,7,11251,7604,14898,17,11,23,FR,France
+201927,7,16602,12349,20855,25,19,31,FR,France
+201926,7,18851,14491,23211,29,22,36,FR,France
+201925,7,18309,13972,22646,28,21,35,FR,France
+201924,7,13382,9659,17105,20,14,26,FR,France
+201923,7,19264,15027,23501,29,23,35,FR,France
+201922,7,16861,12783,20939,26,20,32,FR,France
+201921,7,17572,13140,22004,27,20,34,FR,France
+201920,7,16180,12310,20050,25,19,31,FR,France
+201919,7,16646,12721,20571,25,19,31,FR,France
+201918,7,13803,10159,17447,21,15,27,FR,France
+201917,7,15868,11815,19921,24,18,30,FR,France
+201916,7,17127,12815,21439,26,19,33,FR,France
+201915,7,21449,16525,26373,33,26,40,FR,France
+201914,7,16131,12254,20008,25,19,31,FR,France
+201913,7,17264,13409,21119,26,20,32,FR,France
+201912,7,14133,10499,17767,21,15,27,FR,France
+201911,7,12655,9528,15782,19,14,24,FR,France
+201910,7,14062,10547,17577,21,16,26,FR,France
+201909,7,13725,10221,17229,21,16,26,FR,France
+201908,7,17186,13156,21216,26,20,32,FR,France
+201907,7,10206,7388,13024,16,12,20,FR,France
+201906,7,13504,10402,16606,21,16,26,FR,France
+201905,7,12799,9843,15755,19,15,23,FR,France
+201904,7,11842,9041,14643,18,14,22,FR,France
+201903,7,8616,6114,11118,13,9,17,FR,France
+201902,7,12005,9035,14975,18,13,23,FR,France
+201901,7,15951,12224,19678,24,18,30,FR,France
+201852,7,16234,11915,20553,25,18,32,FR,France
+201851,7,16859,12787,20931,26,20,32,FR,France
+201850,7,11554,8405,14703,18,13,23,FR,France
+201849,7,12632,9322,15942,19,14,24,FR,France
+201848,7,8093,5509,10677,12,8,16,FR,France
+201847,7,8670,5920,11420,13,9,17,FR,France
+201846,7,7039,4453,9625,11,7,15,FR,France
+201845,7,7479,4820,10138,11,7,15,FR,France
+201844,7,7749,4931,10567,12,8,16,FR,France
+201843,7,8705,5414,11996,13,8,18,FR,France
+201842,7,4640,2523,6757,7,4,10,FR,France
+201841,7,2956,1207,4705,4,1,7,FR,France
+201840,7,3858,1827,5889,6,3,9,FR,France
+201839,7,2584,870,4298,4,1,7,FR,France
+201838,7,2401,761,4041,4,2,6,FR,France
+201837,7,1891,501,3281,3,1,5,FR,France
+201836,7,559,0,1335,1,0,2,FR,France
+201835,7,872,0,1916,1,0,3,FR,France
+201834,7,3736,1415,6057,6,2,10,FR,France
+201833,7,3803,1130,6476,6,2,10,FR,France
+201832,7,3225,1155,5295,5,2,8,FR,France
+201831,7,6610,3565,9655,10,5,15,FR,France
+201830,7,9338,5780,12896,14,9,19,FR,France
+201829,7,8513,5059,11967,13,8,18,FR,France
+201828,7,12115,7907,16323,18,12,24,FR,France
+201827,7,13975,9739,18211,21,15,27,FR,France
+201826,7,15317,11019,19615,23,16,30,FR,France
+201825,7,11282,7840,14724,17,12,22,FR,France
+201824,7,16554,12219,20889,25,18,32,FR,France
+201823,7,9511,6385,12637,14,9,19,FR,France
+201822,7,15972,11793,20151,24,18,30,FR,France
+201821,7,10909,7627,14191,17,12,22,FR,France
+201820,7,13417,9692,17142,20,14,26,FR,France
+201819,7,16718,12351,21085,25,18,32,FR,France
+201818,7,16120,11128,21112,25,17,33,FR,France
+201817,7,16154,11960,20348,25,19,31,FR,France
+201816,7,18341,13836,22846,28,21,35,FR,France
+201815,7,17946,13622,22270,27,20,34,FR,France
+201814,7,15036,10780,19292,23,17,29,FR,France
+201813,7,16373,12472,20274,25,19,31,FR,France
+201812,7,18819,14373,23265,29,22,36,FR,France
+201811,7,15478,11427,19529,24,18,30,FR,France
+201810,7,15753,11901,19605,24,18,30,FR,France
+201809,7,13217,9653,16781,20,15,25,FR,France
+201808,7,13390,9832,16948,20,15,25,FR,France
+201807,7,13453,10096,16810,20,15,25,FR,France
+201806,7,15491,11679,19303,24,18,30,FR,France
+201805,7,15078,11374,18782,23,17,29,FR,France
+201804,7,14562,10973,18151,22,17,27,FR,France
+201803,7,7972,5473,10471,12,8,16,FR,France
+201802,7,10976,7974,13978,17,12,22,FR,France
+201801,7,11471,8430,14512,17,12,22,FR,France
+201752,7,11120,7732,14508,17,12,22,FR,France
+201751,7,8055,5279,10831,12,8,16,FR,France
+201750,7,10095,7184,13006,15,11,19,FR,France
+201749,7,11214,8103,14325,17,12,22,FR,France
+201748,7,8686,5706,11666,13,8,18,FR,France
+201747,7,8741,5969,11513,13,9,17,FR,France
+201746,7,5708,3483,7933,9,6,12,FR,France
+201745,7,4902,2777,7027,8,5,11,FR,France
+201744,7,5645,3125,8165,9,5,13,FR,France
+201743,7,6892,3966,9818,11,7,15,FR,France
+201742,7,4490,2218,6762,7,4,10,FR,France
+201741,7,2516,1110,3922,4,2,6,FR,France
+201740,7,4902,2504,7300,8,4,12,FR,France
+201739,7,2901,917,4885,4,1,7,FR,France
+201738,7,2138,736,3540,3,1,5,FR,France
+201737,7,2360,700,4020,4,1,7,FR,France
+201736,7,1903,450,3356,3,1,5,FR,France
+201735,7,3419,1409,5429,5,2,8,FR,France
+201734,7,3886,1559,6213,6,2,10,FR,France
+201733,7,3133,829,5437,5,1,9,FR,France
+201732,7,4194,1599,6789,6,2,10,FR,France
+201731,7,7130,3572,10688,11,6,16,FR,France
+201730,7,7368,3708,11028,11,5,17,FR,France
+201729,7,15320,10560,20080,24,17,31,FR,France
+201728,7,14764,9589,19939,23,15,31,FR,France
+201727,7,12000,7980,16020,18,12,24,FR,France
+201726,7,11914,8364,15464,18,13,23,FR,France
+201725,7,16264,12303,20225,25,19,31,FR,France
+201724,7,16473,12221,20725,25,18,32,FR,France
+201723,7,15607,11196,20018,24,17,31,FR,France
+201722,7,19102,14187,24017,29,21,37,FR,France
+201721,7,21160,15647,26673,32,24,40,FR,France
+201720,7,19412,14439,24385,30,22,38,FR,France
+201719,7,20724,15468,25980,32,24,40,FR,France
+201718,7,14497,10154,18840,22,15,29,FR,France
+201717,7,17548,12284,22812,27,19,35,FR,France
+201716,7,14963,10491,19435,23,16,30,FR,France
+201715,7,16400,11762,21038,25,18,32,FR,France
+201714,7,18892,13332,24452,29,20,38,FR,France
+201713,7,21702,16488,26916,33,25,41,FR,France
+201712,7,18534,14161,22907,28,21,35,FR,France
+201711,7,18361,12709,24013,28,19,37,FR,France
+201710,7,10218,6896,13540,16,11,21,FR,France
+201709,7,12248,8571,15925,19,13,25,FR,France
+201708,7,14721,10712,18730,23,17,29,FR,France
+201707,7,10991,7538,14444,17,12,22,FR,France
+201706,7,9627,6502,12752,15,10,20,FR,France
+201705,7,8885,6064,11706,14,10,18,FR,France
+201704,7,9227,6249,12205,14,9,19,FR,France
+201703,7,8791,6072,11510,13,9,17,FR,France
+201702,7,9034,6097,11971,14,9,19,FR,France
+201701,7,7803,5142,10464,12,8,16,FR,France
+201652,7,7665,4768,10562,12,8,16,FR,France
+201651,7,9916,5966,13866,15,9,21,FR,France
+201650,7,8866,5849,11883,14,9,19,FR,France
+201649,7,7919,5039,10799,12,8,16,FR,France
+201648,7,6906,4242,9570,11,7,15,FR,France
+201647,7,6877,4083,9671,11,7,15,FR,France
+201646,7,4683,2458,6908,7,4,10,FR,France
+201645,7,3807,1499,6115,6,2,10,FR,France
+201644,7,4879,2029,7729,7,3,11,FR,France
+201643,7,9264,4949,13579,14,7,21,FR,France
+201642,7,7301,3877,10725,11,6,16,FR,France
+201641,7,5849,2950,8748,9,5,13,FR,France
+201640,7,5023,2267,7779,8,4,12,FR,France
+201639,7,2437,595,4279,4,1,7,FR,France
+201638,7,2550,0,5121,4,0,8,FR,France
+201637,7,3031,501,5561,5,1,9,FR,France
+201636,7,1621,33,3209,2,0,4,FR,France
+201635,7,1554,38,3070,2,0,4,FR,France
+201634,7,3089,711,5467,5,1,9,FR,France
+201633,7,3373,671,6075,5,1,9,FR,France
+201632,7,4670,936,8404,7,1,13,FR,France
+201631,7,13619,5986,21252,21,9,33,FR,France
+201630,7,14149,8423,19875,22,13,31,FR,France
+201629,7,15769,9829,21709,24,15,33,FR,France
+201628,7,19968,12709,27227,31,20,42,FR,France
+201627,7,23790,16940,30640,37,26,48,FR,France
+201626,7,26083,19873,32293,40,30,50,FR,France
+201625,7,19250,13742,24758,30,22,38,FR,France
+201624,7,16465,11779,21151,25,18,32,FR,France
+201623,7,21642,16030,27254,33,24,42,FR,France
+201622,7,21913,16307,27519,34,25,43,FR,France
+201621,7,22707,16878,28536,35,26,44,FR,France
+201620,7,20389,14741,26037,31,22,40,FR,France
+201619,7,19685,14453,24917,30,22,38,FR,France
+201618,7,19785,14138,25432,30,21,39,FR,France
+201617,7,20489,14781,26197,31,22,40,FR,France
+201616,7,23848,18353,29343,37,29,45,FR,France
+201615,7,30982,24510,37454,48,38,58,FR,France
+201614,7,30996,24507,37485,48,38,58,FR,France
+201613,7,20260,15476,25044,31,24,38,FR,France
+201612,7,19129,14501,23757,29,22,36,FR,France
+201611,7,16660,12252,21068,26,19,33,FR,France
+201610,7,16812,12677,20947,26,20,32,FR,France
+201609,7,18118,13735,22501,28,21,35,FR,France
+201608,7,17557,13397,21717,27,21,33,FR,France
+201607,7,22222,17422,27022,34,27,41,FR,France
+201606,7,24486,19563,29409,38,30,46,FR,France
+201605,7,20906,16470,25342,32,25,39,FR,France
+201604,7,17717,13394,22040,27,20,34,FR,France
+201603,7,17146,13088,21204,26,20,32,FR,France
+201602,7,9960,6845,13075,15,10,20,FR,France
+201601,7,16221,12114,20328,25,19,31,FR,France
+201553,7,14386,10110,18662,22,15,29,FR,France
+201552,7,12550,8407,16693,19,13,25,FR,France
+201551,7,16168,11913,20423,25,18,32,FR,France
+201550,7,14600,10277,18923,23,16,30,FR,France
+201549,7,10580,7148,14012,16,11,21,FR,France
+201548,7,6694,3816,9572,10,6,14,FR,France
+201547,7,7224,4543,9905,11,7,15,FR,France
+201546,7,6377,3768,8986,10,6,14,FR,France
+201545,7,7838,4650,11026,12,7,17,FR,France
+201544,7,10638,7012,14264,16,10,22,FR,France
+201543,7,8228,4766,11690,13,8,18,FR,France
+201542,7,6730,3669,9791,10,5,15,FR,France
+201541,7,8455,5347,11563,13,8,18,FR,France
+201540,7,6242,3556,8928,10,6,14,FR,France
+201539,7,5142,2663,7621,8,4,12,FR,France
+201538,7,4845,2170,7520,8,4,12,FR,France
+201537,7,1710,315,3105,3,1,5,FR,France
+201536,7,3852,1413,6291,6,2,10,FR,France
+201535,7,3158,1104,5212,5,2,8,FR,France
+201534,7,6626,2734,10518,10,4,16,FR,France
+201533,7,3005,815,5195,5,2,8,FR,France
+201532,7,4592,1514,7670,7,2,12,FR,France
+201531,7,5901,2320,9482,9,3,15,FR,France
+201530,7,11437,6572,16302,18,10,26,FR,France
+201529,7,16251,10104,22398,25,15,35,FR,France
+201528,7,19181,12819,25543,30,20,40,FR,France
+201527,7,20526,14918,26134,32,23,41,FR,France
+201526,7,20491,15043,25939,32,24,40,FR,France
+201525,7,18253,13349,23157,28,20,36,FR,France
+201524,7,20522,15347,25697,32,24,40,FR,France
+201523,7,22298,16988,27608,35,27,43,FR,France
+201522,7,16681,11603,21759,26,18,34,FR,France
+201521,7,19208,13976,24440,30,22,38,FR,France
+201520,7,15791,10998,20584,24,17,31,FR,France
+201519,7,17661,12845,22477,27,20,34,FR,France
+201518,7,18126,13142,23110,28,20,36,FR,France
+201517,7,22059,16386,27732,34,25,43,FR,France
+201516,7,22837,17103,28571,35,26,44,FR,France
+201515,7,20116,14743,25489,31,23,39,FR,France
+201514,7,19969,14683,25255,31,23,39,FR,France
+201513,7,14076,10028,18124,22,16,28,FR,France
+201512,7,13120,9230,17010,20,14,26,FR,France
+201511,7,12073,8302,15844,19,13,25,FR,France
+201510,7,11340,7811,14869,18,13,23,FR,France
+201509,7,9509,6202,12816,15,10,20,FR,France
+201508,7,10045,6921,13169,16,11,21,FR,France
+201507,7,13810,9930,17690,21,15,27,FR,France
+201506,7,14586,10675,18497,23,17,29,FR,France
+201505,7,8379,5519,11239,13,9,17,FR,France
+201504,7,12373,8955,15791,19,14,24,FR,France
+201503,7,8408,5545,11271,13,9,17,FR,France
+201502,7,9656,6569,12743,15,10,20,FR,France
+201501,7,15419,10638,20200,24,17,31,FR,France
+201452,7,12109,7254,16964,19,11,27,FR,France
+201451,7,13237,9282,17192,21,15,27,FR,France
+201450,7,12272,8434,16110,19,13,25,FR,France
+201449,7,6652,4023,9281,10,6,14,FR,France
+201448,7,3785,1414,6156,6,2,10,FR,France
+201447,7,4213,2058,6368,7,4,10,FR,France
+201446,7,2638,808,4468,4,1,7,FR,France
+201445,7,5138,2609,7667,8,4,12,FR,France
+201444,7,7639,4394,10884,12,7,17,FR,France
+201443,7,9721,6051,13391,15,9,21,FR,France
+201442,7,7702,4827,10577,12,8,16,FR,France
+201441,7,7853,4576,11130,12,7,17,FR,France
+201440,7,5643,2875,8411,9,5,13,FR,France
+201439,7,3067,959,5175,5,2,8,FR,France
+201438,7,1431,130,2732,2,0,4,FR,France
+201437,7,1034,0,2338,2,0,4,FR,France
+201436,7,2765,707,4823,4,1,7,FR,France
+201435,7,3052,734,5370,5,1,9,FR,France
+201434,7,6443,1010,11876,10,2,18,FR,France
+201433,7,5893,1698,10088,9,2,16,FR,France
+201432,7,5574,1636,9512,9,3,15,FR,France
+201431,7,11224,5825,16623,17,9,25,FR,France
+201430,7,13856,7742,19970,22,12,32,FR,France
+201429,7,13818,8249,19387,22,13,31,FR,France
+201428,7,14452,8576,20328,23,14,32,FR,France
+201427,7,10934,6552,15316,17,10,24,FR,France
+201426,7,13972,9090,18854,22,14,30,FR,France
+201425,7,15684,10131,21237,24,15,33,FR,France
+201424,7,21981,15632,28330,34,24,44,FR,France
+201423,7,24015,16956,31074,37,26,48,FR,France
+201422,7,19748,13406,26090,31,21,41,FR,France
+201421,7,18296,12087,24505,28,18,38,FR,France
+201420,7,17693,11979,23407,28,19,37,FR,France
+201419,7,18515,12667,24363,29,20,38,FR,France
+201418,7,22172,15443,28901,35,25,45,FR,France
+201417,7,22727,16224,29230,35,25,45,FR,France
+201416,7,17010,11590,22430,26,18,34,FR,France
+201415,7,20239,14242,26236,32,23,41,FR,France
+201414,7,17565,12341,22789,27,19,35,FR,France
+201413,7,17723,12128,23318,28,19,37,FR,France
+201412,7,14097,9068,19126,22,14,30,FR,France
+201411,7,15073,10122,20024,23,15,31,FR,France
+201410,7,16941,11407,22475,26,17,35,FR,France
+201409,7,15621,10397,20845,24,16,32,FR,France
+201408,7,19870,14111,25629,31,22,40,FR,France
+201407,7,15327,10359,20295,24,16,32,FR,France
+201406,7,16534,11424,21644,26,18,34,FR,France
+201405,7,12071,7897,16245,19,12,26,FR,France
+201404,7,15767,10826,20708,25,17,33,FR,France
+201403,7,12852,8190,17514,20,13,27,FR,France
+201402,7,12465,7896,17034,19,12,26,FR,France
+201401,7,22504,15572,29436,35,24,46,FR,France
+201352,7,13843,8314,19372,22,13,31,FR,France
+201351,7,12787,7843,17731,20,12,28,FR,France
+201350,7,11421,7184,15658,18,11,25,FR,France
+201349,7,10146,6171,14121,16,10,22,FR,France
+201348,7,6708,3361,10055,11,6,16,FR,France
+201347,7,9940,5667,14213,16,9,23,FR,France
+201346,7,5110,2148,8072,8,3,13,FR,France
+201345,7,7669,3726,11612,12,6,18,FR,France
+201344,7,10655,5983,15327,17,10,24,FR,France
+201343,7,8192,3927,12457,13,6,20,FR,France
+201342,7,12324,7315,17333,19,11,27,FR,France
+201341,7,9487,5101,13873,15,8,22,FR,France
+201340,7,4114,1452,6776,6,2,10,FR,France
+201339,7,5037,1810,8264,8,3,13,FR,France
+201338,7,4449,1499,7399,7,2,12,FR,France
+201337,7,5212,1954,8470,8,3,13,FR,France
+201336,7,3481,606,6356,5,0,10,FR,France
+201335,7,3486,281,6691,5,0,10,FR,France
+201334,7,3994,670,7318,6,1,11,FR,France
+201333,7,3758,372,7144,6,1,11,FR,France
+201332,7,2986,635,5337,5,1,9,FR,France
+201331,7,9137,3957,14317,14,6,22,FR,France
+201330,7,13810,6870,20750,22,11,33,FR,France
+201329,7,12278,6878,17678,19,11,27,FR,France
+201328,7,17146,10622,23670,27,17,37,FR,France
+201327,7,13859,8697,19021,22,14,30,FR,France
+201326,7,17956,11585,24327,28,18,38,FR,France
+201325,7,24609,17743,31475,39,28,50,FR,France
+201324,7,23981,17469,30493,38,28,48,FR,France
+201323,7,15848,10235,21461,25,16,34,FR,France
+201322,7,12528,7759,17297,20,13,27,FR,France
+201321,7,10637,6458,14816,17,10,24,FR,France
+201320,7,12435,7726,17144,19,12,26,FR,France
+201319,7,14230,8491,19969,22,13,31,FR,France
+201318,7,17735,11898,23572,28,19,37,FR,France
+201317,7,25213,18328,32098,39,28,50,FR,France
+201316,7,23918,16084,31752,37,25,49,FR,France
+201315,7,15307,10483,20131,24,16,32,FR,France
+201314,7,19302,13484,25120,30,21,39,FR,France
+201313,7,18224,11953,24495,29,19,39,FR,France
+201312,7,17413,11819,23007,27,18,36,FR,France
+201311,7,16229,10756,21702,25,16,34,FR,France
+201310,7,16515,10966,22064,26,17,35,FR,France
+201309,7,16338,11305,21371,26,18,34,FR,France
+201308,7,17915,12458,23372,28,19,37,FR,France
+201307,7,12245,7795,16695,19,12,26,FR,France
+201306,7,13305,8249,18361,21,13,29,FR,France
+201305,7,11184,6677,15691,18,11,25,FR,France
+201304,7,16505,11326,21684,26,18,34,FR,France
+201303,7,10434,6735,14133,16,10,22,FR,France
+201302,7,14746,9924,19568,23,15,31,FR,France
+201301,7,22537,16290,28784,35,25,45,FR,France
+201252,7,14682,9011,20353,23,14,32,FR,France
+201251,7,15811,10483,21139,25,17,33,FR,France
+201250,7,19840,13797,25883,31,21,41,FR,France
+201249,7,11967,7591,16343,19,12,26,FR,France
+201248,7,12897,8376,17418,20,13,27,FR,France
+201247,7,11934,7042,16826,19,11,27,FR,France
+201246,7,10741,6201,15281,17,10,24,FR,France
+201245,7,20339,12476,28202,32,20,44,FR,France
+201244,7,8472,4834,12110,13,7,19,FR,France
+201243,7,11375,7120,15630,18,11,25,FR,France
+201242,7,11450,6987,15913,18,11,25,FR,France
+201241,7,8700,4885,12515,14,8,20,FR,France
+201240,7,9175,5327,13023,14,8,20,FR,France
+201239,7,4058,1438,6678,6,2,10,FR,France
+201238,7,2684,621,4747,4,1,7,FR,France
+201237,7,2505,0,5339,4,0,8,FR,France
+201236,7,3930,291,7569,6,0,12,FR,France
+201235,7,3515,884,6146,6,2,10,FR,France
+201234,7,5663,2195,9131,9,4,14,FR,France
+201233,7,7969,3171,12767,13,5,21,FR,France
+201232,7,9206,2073,16339,14,3,25,FR,France
+201231,7,7579,3540,11618,12,6,18,FR,France
+201230,7,11253,5812,16694,18,9,27,FR,France
+201229,7,20711,13977,27445,33,22,44,FR,France
+201228,7,16966,9789,24143,27,16,38,FR,France
+201227,7,17733,11174,24292,28,18,38,FR,France
+201226,7,20974,13153,28795,33,21,45,FR,France
+201225,7,25480,17130,33830,40,27,53,FR,France
+201224,7,17872,11690,24054,28,18,38,FR,France
+201223,7,22034,15327,28741,35,24,46,FR,France
+201222,7,18774,11901,25647,30,19,41,FR,France
+201221,7,18515,9501,27529,29,15,43,FR,France
+201220,7,17026,9608,24444,27,15,39,FR,France
+201219,7,13599,8726,18472,21,13,29,FR,France
+201218,7,16482,10836,22128,26,17,35,FR,France
+201217,7,18041,12040,24042,28,19,37,FR,France
+201216,7,16251,10239,22263,26,17,35,FR,France
+201215,7,10203,5281,15125,16,8,24,FR,France
+201214,7,7426,3526,11326,12,6,18,FR,France
+201213,7,12507,5913,19101,20,10,30,FR,France
+201212,7,12006,6344,17668,19,10,28,FR,France
+201211,7,11997,7398,16596,19,12,26,FR,France
+201210,7,15569,9700,21438,25,16,34,FR,France
+201209,7,18085,12427,23743,28,19,37,FR,France
+201208,7,13515,8822,18208,21,14,28,FR,France
+201207,7,12594,7774,17414,20,12,28,FR,France
+201206,7,15273,9953,20593,24,16,32,FR,France
+201205,7,12192,7305,17079,19,11,27,FR,France
+201204,7,10248,4996,15500,16,8,24,FR,France
+201203,7,11474,6843,16105,18,11,25,FR,France
+201202,7,13651,8191,19111,21,12,30,FR,France
+201201,7,14028,9063,18993,22,14,30,FR,France
+201152,7,21306,14321,28291,34,23,45,FR,France
+201151,7,14945,8910,20980,24,14,34,FR,France
+201150,7,10051,5417,14685,16,9,23,FR,France
+201149,7,10075,5049,15101,16,8,24,FR,France
+201148,7,9018,5083,12953,14,8,20,FR,France
+201147,7,10055,4853,15257,16,8,24,FR,France
+201146,7,7721,3993,11449,12,6,18,FR,France
+201145,7,5764,1962,9566,9,3,15,FR,France
+201144,7,6178,2704,9652,10,5,15,FR,France
+201143,7,6168,2653,9683,10,4,16,FR,France
+201142,7,6713,3036,10390,11,5,17,FR,France
+201141,7,4184,1543,6825,7,3,11,FR,France
+201140,7,3114,618,5610,5,1,9,FR,France
+201139,7,2504,414,4594,4,1,7,FR,France
+201138,7,3386,585,6187,5,1,9,FR,France
+201137,7,1183,9,2357,2,0,4,FR,France
+201136,7,3367,478,6256,5,0,10,FR,France
+201135,7,5945,2380,9510,9,3,15,FR,France
+201134,7,3180,891,5469,5,1,9,FR,France
+201133,7,4960,1053,8867,8,2,14,FR,France
+201132,7,7230,1500,12960,11,2,20,FR,France
+201131,7,10789,4593,16985,17,7,27,FR,France
+201130,7,23137,9828,36446,37,16,58,FR,France
+201129,7,10056,4896,15216,16,8,24,FR,France
+201128,7,13428,7761,19095,21,12,30,FR,France
+201127,7,20770,13604,27936,33,22,44,FR,France
+201126,7,16862,10623,23101,27,17,37,FR,France
+201125,7,19411,12763,26059,31,20,42,FR,France
+201124,7,18584,12337,24831,29,19,39,FR,France
+201123,7,20707,14800,26614,33,24,42,FR,France
+201122,7,16995,11552,22438,27,18,36,FR,France
+201121,7,19179,12997,25361,30,20,40,FR,France
+201120,7,21512,15082,27942,34,24,44,FR,France
+201119,7,18038,12286,23790,29,20,38,FR,France
+201118,7,18512,13142,23882,29,21,37,FR,France
+201117,7,20715,14602,26828,33,23,43,FR,France
+201116,7,18128,12859,23397,29,21,37,FR,France
+201115,7,22169,16454,27884,35,26,44,FR,France
+201114,7,17431,12573,22289,28,20,36,FR,France
+201113,7,15637,10796,20478,25,17,33,FR,France
+201112,7,14856,9810,19902,24,16,32,FR,France
+201111,7,12156,7712,16600,19,12,26,FR,France
+201110,7,12987,8644,17330,21,14,28,FR,France
+201109,7,11971,7656,16286,19,12,26,FR,France
+201108,7,17295,11843,22747,27,18,36,FR,France
+201107,7,12488,7431,17545,20,12,28,FR,France
+201106,7,9801,6179,13423,16,10,22,FR,France
+201105,7,10857,7046,14668,17,11,23,FR,France
+201104,7,13749,9496,18002,22,15,29,FR,France
+201103,7,12936,8875,16997,20,14,26,FR,France
+201102,7,9451,6208,12694,15,10,20,FR,France
+201101,7,14380,10066,18694,23,16,30,FR,France
+201052,7,13112,8997,17227,21,14,28,FR,France
+201051,7,12055,8046,16064,19,13,25,FR,France
+201050,7,8281,5242,11320,13,8,18,FR,France
+201049,7,12525,8601,16449,20,14,26,FR,France
+201048,7,9048,5627,12469,14,9,19,FR,France
+201047,7,7329,4256,10402,12,7,17,FR,France
+201046,7,8955,5377,12533,14,8,20,FR,France
+201045,7,4800,2269,7331,8,4,12,FR,France
+201044,7,11274,7155,15393,18,11,25,FR,France
+201043,7,8144,4621,11667,13,7,19,FR,France
+201042,7,9178,5507,12849,15,9,21,FR,France
+201041,7,7110,3983,10237,11,6,16,FR,France
+201040,7,5196,2450,7942,8,4,12,FR,France
+201039,7,3415,964,5866,5,1,9,FR,France
+201038,7,3057,681,5433,5,1,9,FR,France
+201037,7,1056,0,2338,2,0,4,FR,France
+201036,7,1629,241,3017,3,1,5,FR,France
+201035,7,5847,1895,9799,9,3,15,FR,France
+201034,7,4649,1665,7633,7,2,12,FR,France
+201033,7,3972,1372,6572,6,2,10,FR,France
+201032,7,4307,1345,7269,7,2,12,FR,France
+201031,7,7403,3912,10894,12,6,18,FR,France
+201030,7,8502,4404,12600,14,7,21,FR,France
+201029,7,14481,8874,20088,23,14,32,FR,France
+201028,7,28483,18947,38019,45,30,60,FR,France
+201027,7,25965,18206,33724,41,29,53,FR,France
+201026,7,22628,16253,29003,36,26,46,FR,France
+201025,7,21027,15245,26809,33,24,42,FR,France
+201024,7,26164,19503,32825,42,31,53,FR,France
+201023,7,19858,14032,25684,32,23,41,FR,France
+201022,7,22275,16460,28090,35,26,44,FR,France
+201021,7,24815,18263,31367,40,30,50,FR,France
+201020,7,22370,16020,28720,36,26,46,FR,France
+201019,7,25552,18564,32540,41,30,52,FR,France
+201018,7,18894,13264,24524,30,21,39,FR,France
+201017,7,17512,12221,22803,28,20,36,FR,France
+201016,7,21439,15519,27359,34,25,43,FR,France
+201015,7,26362,19735,32989,42,31,53,FR,France
+201014,7,20168,14274,26062,32,23,41,FR,France
+201013,7,18917,13394,24440,30,21,39,FR,France
+201012,7,18171,12995,23347,29,21,37,FR,France
+201011,7,13401,9041,17761,21,14,28,FR,France
+201010,7,18123,12614,23632,29,20,38,FR,France
+201009,7,21145,14746,27544,34,24,44,FR,France
+201008,7,30549,21013,40085,49,34,64,FR,France
+201007,7,25017,17142,32892,40,27,53,FR,France
+201006,7,22358,13688,31028,36,22,50,FR,France
+201005,7,26817,18132,35502,43,29,57,FR,France
+201004,7,14384,8912,19856,23,14,32,FR,France
+201003,7,11821,7294,16348,19,12,26,FR,France
+201002,7,12756,7177,18335,20,11,29,FR,France
+201001,7,14182,9107,19257,23,15,31,FR,France
+200953,7,28213,17662,38764,45,28,62,FR,France
+200952,7,15203,9597,20809,24,15,33,FR,France
+200951,7,17611,11223,23999,28,18,38,FR,France
+200950,7,17430,9879,24981,28,16,40,FR,France
+200949,7,7199,3960,10438,11,6,16,FR,France
+200948,7,14656,9570,19742,23,15,31,FR,France
+200947,7,7051,3901,10201,11,6,16,FR,France
+200946,7,4662,2107,7217,7,3,11,FR,France
+200945,7,15603,9790,21416,25,16,34,FR,France
+200944,7,13165,6629,19701,21,11,31,FR,France
+200943,7,9872,5298,14446,16,9,23,FR,France
+200942,7,13992,7999,19985,22,12,32,FR,France
+200941,7,7811,4267,11355,12,6,18,FR,France
+200940,7,12414,7441,17387,20,12,28,FR,France
+200939,7,4090,921,7259,7,2,12,FR,France
+200938,7,2802,999,4605,4,1,7,FR,France
+200937,7,1989,362,3616,3,0,6,FR,France
+200936,7,1681,212,3150,3,1,5,FR,France
+200935,7,3605,1131,6079,6,2,10,FR,France
+200934,7,8863,3112,14614,14,5,23,FR,France
+200933,7,6592,965,12219,10,1,19,FR,France
+200932,7,9370,4069,14671,15,7,23,FR,France
+200931,7,18728,0,38349,30,0,61,FR,France
+200930,7,10418,5698,15138,17,9,25,FR,France
+200929,7,14716,8450,20982,23,13,33,FR,France
+200928,7,21297,14200,28394,34,23,45,FR,France
+200927,7,22300,14361,30239,36,23,49,FR,France
+200926,7,24817,17154,32480,40,28,52,FR,France
+200925,7,22427,15617,29237,36,25,47,FR,France
+200924,7,14666,9828,19504,23,15,31,FR,France
+200923,7,18094,10701,25487,29,17,41,FR,France
+200922,7,20358,14457,26259,32,23,41,FR,France
+200921,7,23147,16066,30228,37,26,48,FR,France
+200920,7,27753,19893,35613,44,31,57,FR,France
+200919,7,29529,19088,39970,47,30,64,FR,France
+200918,7,17676,11359,23993,28,18,38,FR,France
+200917,7,21880,15613,28147,35,25,45,FR,France
+200916,7,23899,16714,31084,38,27,49,FR,France
+200915,7,21717,14784,28650,35,24,46,FR,France
+200914,7,22143,14930,29356,35,24,46,FR,France
+200913,7,23445,16436,30454,37,26,48,FR,France
+200912,7,17997,11343,24651,29,18,40,FR,France
+200911,7,22428,14154,30702,36,23,49,FR,France
+200910,7,21362,13994,28730,34,22,46,FR,France
+200909,7,26922,18447,35397,43,30,56,FR,France
+200908,7,20424,13766,27082,33,22,44,FR,France
+200907,7,23181,15024,31338,37,24,50,FR,France
+200906,7,29147,20804,37490,46,33,59,FR,France
+200905,7,14176,8933,19419,23,15,31,FR,France
+200904,7,14887,10004,19770,24,16,32,FR,France
+200903,7,12650,7578,17722,20,12,28,FR,France
+200902,7,22806,13997,31615,36,22,50,FR,France
+200901,7,27073,17648,36498,43,28,58,FR,France
+200852,7,13485,8749,18221,22,14,30,FR,France
+200851,7,10984,7406,14562,18,12,24,FR,France
+200850,7,12868,7126,18610,21,12,30,FR,France
+200849,7,11365,4402,18328,19,8,30,FR,France
+200848,7,14199,5494,22904,23,9,37,FR,France
+200847,7,15819,7899,23739,26,13,39,FR,France
+200846,7,8147,4546,11748,13,7,19,FR,France
+200845,7,10538,5244,15832,17,8,26,FR,France
+200844,7,10753,6665,14841,18,11,25,FR,France
+200843,7,9420,5654,13186,15,9,21,FR,France
+200842,7,10865,5017,16713,18,8,28,FR,France
+200841,7,8583,3541,13625,14,6,22,FR,France
+200840,7,8164,3051,13277,13,5,21,FR,France
+200839,7,5477,2331,8623,9,4,14,FR,France
+200838,7,3780,1129,6431,6,2,10,FR,France
+200837,7,4612,1860,7364,8,4,12,FR,France
+200836,7,2821,365,5277,5,1,9,FR,France
+200835,7,2304,0,4896,4,0,8,FR,France
+200834,7,4452,915,7989,7,1,13,FR,France
+200833,7,5347,1116,9578,9,2,16,FR,France
+200832,7,5294,1512,9076,9,3,15,FR,France
+200831,7,10207,5298,15116,17,9,25,FR,France
+200830,7,10220,5331,15109,17,9,25,FR,France
+200829,7,10071,5148,14994,16,8,24,FR,France
+200828,7,9826,4460,15192,16,7,25,FR,France
+200827,7,11768,6077,17459,19,10,28,FR,France
+200826,7,15584,10821,20347,25,17,33,FR,France
+200825,7,21617,15364,27870,35,25,45,FR,France
+200824,7,18253,12292,24214,30,20,40,FR,France
+200823,7,14388,8610,20166,23,14,32,FR,France
+200822,7,13560,7829,19291,22,13,31,FR,France
+200821,7,19074,4085,34063,31,7,55,FR,France
+200820,7,18272,12040,24504,30,20,40,FR,France
+200819,7,16110,10352,21868,26,17,35,FR,France
+200818,7,17377,11105,23649,28,18,38,FR,France
+200817,7,27000,19317,34683,44,31,57,FR,France
+200816,7,23002,15304,30700,37,24,50,FR,France
+200815,7,25454,15856,35052,41,25,57,FR,France
+200814,7,22236,15623,28849,36,25,47,FR,France
+200813,7,20308,13107,27509,33,21,45,FR,France
+200812,7,22462,15587,29337,37,26,48,FR,France
+200811,7,20505,13958,27052,33,22,44,FR,France
+200810,7,18078,11784,24372,29,19,39,FR,France
+200809,7,20474,14073,26875,33,23,43,FR,France
+200808,7,21441,15042,27840,35,25,45,FR,France
+200807,7,17894,12348,23440,29,20,38,FR,France
+200806,7,16310,11091,21529,27,18,36,FR,France
+200805,7,16684,11106,22262,27,18,36,FR,France
+200804,7,20997,14662,27332,34,24,44,FR,France
+200803,7,19263,11093,27433,31,18,44,FR,France
+200802,7,20501,13032,27970,33,21,45,FR,France
+200801,7,20780,14093,27467,34,23,45,FR,France
+200752,7,18010,11329,24691,29,18,40,FR,France
+200751,7,20052,12509,27595,33,21,45,FR,France
+200750,7,19059,12513,25605,31,20,42,FR,France
+200749,7,18394,12805,23983,30,21,39,FR,France
+200748,7,10765,5871,15659,18,10,26,FR,France
+200747,7,10703,1791,19615,17,2,32,FR,France
+200746,7,12318,4207,20429,20,7,33,FR,France
+200745,7,12352,0,29660,20,0,48,FR,France
+200744,7,7897,3419,12375,13,6,20,FR,France
+200743,7,5788,2306,9270,9,3,15,FR,France
+200742,7,5993,2329,9657,10,4,16,FR,France
+200741,7,7130,0,17274,12,0,29,FR,France
+200740,7,8146,940,15352,13,1,25,FR,France
+200739,7,3916,500,7332,6,0,12,FR,France
+200738,7,2691,462,4920,4,0,8,FR,France
+200737,7,4100,1263,6937,7,2,12,FR,France
+200736,7,1580,0,3223,3,0,6,FR,France
+200735,7,3471,0,7162,6,0,12,FR,France
+200734,7,3333,0,6764,5,0,11,FR,France
+200733,7,3241,451,6031,5,0,10,FR,France
+200732,7,7321,2112,12530,12,4,20,FR,France
+200731,7,9932,3688,16176,16,6,26,FR,France
+200730,7,9879,3616,16142,16,6,26,FR,France
+200729,7,17227,7803,26651,28,13,43,FR,France
+200728,7,14874,7763,21985,24,12,36,FR,France
+200727,7,13500,7382,19618,22,12,32,FR,France
+200726,7,15454,9522,21386,25,15,35,FR,France
+200725,7,20567,13847,27287,34,23,45,FR,France
+200724,7,26470,18336,34604,43,30,56,FR,France
+200723,7,23443,15824,31062,38,26,50,FR,France
+200722,7,18811,11559,26063,31,19,43,FR,France
+200721,7,15325,9347,21303,25,15,35,FR,France
+200720,7,17507,11589,23425,29,19,39,FR,France
+200719,7,22692,15113,30271,37,25,49,FR,France
+200718,7,20630,13394,27866,34,22,46,FR,France
+200717,7,23755,14388,33122,39,24,54,FR,France
+200716,7,23388,16188,30588,38,26,50,FR,France
+200715,7,25695,17711,33679,42,29,55,FR,France
+200714,7,16974,9959,23989,28,17,39,FR,France
+200713,7,24625,16598,32652,40,27,53,FR,France
+200712,7,20303,11331,29275,33,18,48,FR,France
+200711,7,33056,21724,44388,54,36,72,FR,France
+200710,7,20775,12182,29368,34,20,48,FR,France
+200709,7,18750,12252,25248,31,20,42,FR,France
+200708,7,19458,12998,25918,32,21,43,FR,France
+200707,7,20978,14822,27134,34,24,44,FR,France
+200706,7,14466,9375,19557,24,16,32,FR,France
+200705,7,15339,9771,20907,25,16,34,FR,France
+200704,7,19661,13333,25989,32,22,42,FR,France
+200703,7,16211,10323,22099,26,16,36,FR,France
+200702,7,15631,10037,21225,25,16,34,FR,France
+200701,7,16483,10582,22384,27,17,37,FR,France
+200652,7,20472,13371,27573,34,22,46,FR,France
+200651,7,20557,12905,28209,34,21,47,FR,France
+200650,7,11364,6541,16187,19,11,27,FR,France
+200649,7,12518,6273,18763,21,11,31,FR,France
+200648,7,8028,2783,13273,13,4,22,FR,France
+200647,7,6240,2268,10212,10,3,17,FR,France
+200646,7,4953,1841,8065,8,3,13,FR,France
+200645,7,4064,1178,6950,7,2,12,FR,France
+200644,7,5300,1084,9516,9,2,16,FR,France
+200643,7,3518,1027,6009,6,2,10,FR,France
+200642,7,2885,539,5231,5,1,9,FR,France
+200641,7,4405,123,8687,7,0,14,FR,France
+200640,7,2513,0,5505,4,0,9,FR,France
+200639,7,992,0,2812,2,0,5,FR,France
+200638,7,1363,0,3045,2,0,5,FR,France
+200637,7,992,0,2711,2,0,5,FR,France
+200636,7,820,0,2313,1,0,3,FR,France
+200635,7,614,0,1628,1,0,3,FR,France
+200634,7,1149,0,2623,2,0,4,FR,France
+200633,7,161,0,630,0,0,1,FR,France
+200632,7,476,0,1785,1,0,3,FR,France
+200631,7,6255,754,11756,10,1,19,FR,France
+200630,7,7140,2123,12157,12,4,20,FR,France
+200629,7,6227,2488,9966,10,4,16,FR,France
+200628,7,13044,6388,19700,21,10,32,FR,France
+200627,7,18263,9407,27119,30,15,45,FR,France
+200626,7,12465,6504,18426,20,10,30,FR,France
+200625,7,14114,8492,19736,23,14,32,FR,France
+200624,7,14773,9362,20184,24,15,33,FR,France
+200623,7,12338,7512,17164,20,12,28,FR,France
+200622,7,12669,7540,17798,21,13,29,FR,France
+200621,7,15426,9709,21143,25,16,34,FR,France
+200620,7,10366,6001,14731,17,10,24,FR,France
+200619,7,13862,8779,18945,23,15,31,FR,France
+200618,7,11495,6482,16508,19,11,27,FR,France
+200617,7,16230,9656,22804,27,16,38,FR,France
+200616,7,17624,10886,24362,29,18,40,FR,France
+200615,7,18171,11485,24857,30,19,41,FR,France
+200614,7,19218,13041,25395,31,21,41,FR,France
+200613,7,16805,11064,22546,28,19,37,FR,France
+200612,7,17604,12029,23179,29,20,38,FR,France
+200611,7,15789,10289,21289,26,17,35,FR,France
+200610,7,16775,11238,22312,27,18,36,FR,France
+200609,7,16734,11153,22315,27,18,36,FR,France
+200608,7,16964,11317,22611,28,19,37,FR,France
+200607,7,11878,7047,16709,19,11,27,FR,France
+200606,7,18915,13000,24830,31,21,41,FR,France
+200605,7,16029,10665,21393,26,17,35,FR,France
+200604,7,11400,7136,15664,19,12,26,FR,France
+200603,7,15577,10494,20660,26,18,34,FR,France
+200602,7,10313,6274,14352,17,10,24,FR,France
+200601,7,20058,13481,26635,33,22,44,FR,France
+200552,7,16588,9246,23930,27,15,39,FR,France
+200551,7,27150,14219,40081,45,24,66,FR,France
+200550,7,14340,8527,20153,24,14,34,FR,France
+200549,7,12056,6953,17159,20,12,28,FR,France
+200548,7,15056,8846,21266,25,15,35,FR,France
+200547,7,14805,7691,21919,24,12,36,FR,France
+200546,7,8390,2583,14197,14,4,24,FR,France
+200545,7,11513,3776,19250,19,6,32,FR,France
+200544,7,10086,2788,17384,17,5,29,FR,France
+200543,7,9316,2080,16552,15,3,27,FR,France
+200542,7,8373,3760,12986,14,6,22,FR,France
+200541,7,11587,6045,17129,19,10,28,FR,France
+200540,7,12374,6622,18126,20,11,29,FR,France
+200539,7,4450,1509,7391,7,2,12,FR,France
+200538,7,2272,67,4477,4,0,8,FR,France
+200537,7,1677,0,3664,3,0,6,FR,France
+200536,7,3369,510,6228,6,1,11,FR,France
+200535,7,3124,482,5766,5,1,9,FR,France
+200534,7,6673,1394,11952,11,2,20,FR,France
+200533,7,8588,1696,15480,14,3,25,FR,France
+200532,7,7859,2362,13356,13,4,22,FR,France
+200531,7,9570,3334,15806,16,6,26,FR,France
+200530,7,6172,0,13912,10,0,23,FR,France
+200529,7,12452,5092,19812,21,9,33,FR,France
+200528,7,18277,5762,30792,30,9,51,FR,France
+200527,7,17547,9967,25127,29,16,42,FR,France
+200526,7,27248,18071,36425,45,30,60,FR,France
+200525,7,14089,8408,19770,23,14,32,FR,France
+200524,7,15632,9553,21711,26,16,36,FR,France
+200523,7,20069,12360,27778,33,20,46,FR,France
+200522,7,20392,9119,31665,34,15,53,FR,France
+200521,7,13623,8254,18992,22,13,31,FR,France
+200520,7,17482,10870,24094,29,18,40,FR,France
+200519,7,12622,7407,17837,21,12,30,FR,France
+200518,7,10630,5706,15554,18,10,26,FR,France
+200517,7,14979,8429,21529,25,14,36,FR,France
+200516,7,11520,6566,16474,19,11,27,FR,France
+200515,7,9114,4530,13698,15,7,23,FR,France
+200514,7,16876,10333,23419,28,17,39,FR,France
+200513,7,12513,7324,17702,21,12,30,FR,France
+200512,7,15395,9108,21682,25,15,35,FR,France
+200511,7,12702,7588,17816,21,13,29,FR,France
+200510,7,11279,6465,16093,19,11,27,FR,France
+200509,7,13085,7767,18403,22,13,31,FR,France
+200508,7,10359,6162,14556,17,10,24,FR,France
+200507,7,18640,12932,24348,31,22,40,FR,France
+200506,7,11814,7295,16333,20,13,27,FR,France
+200505,7,15387,10293,20481,25,17,33,FR,France
+200504,7,12525,7897,17153,21,13,29,FR,France
+200503,7,15946,10225,21667,26,17,35,FR,France
+200502,7,12669,7600,17738,21,13,29,FR,France
+200501,7,14192,8841,19543,23,14,32,FR,France
+200453,7,17869,11244,24494,30,19,41,FR,France
+200452,7,16974,10864,23084,28,18,38,FR,France
+200451,7,14890,9250,20530,25,16,34,FR,France
+200450,7,17657,10659,24655,29,17,41,FR,France
+200449,7,16219,8194,24244,27,14,40,FR,France
+200448,7,7162,2532,11792,12,4,20,FR,France
+200447,7,8816,4136,13496,15,7,23,FR,France
+200446,7,6806,2939,10673,11,5,17,FR,France
+200445,7,9065,2889,15241,15,5,25,FR,France
+200444,7,9795,4169,15421,16,7,25,FR,France
+200443,7,5673,2412,8934,9,4,14,FR,France
+200442,7,3038,802,5274,5,1,9,FR,France
+200441,7,5061,1296,8826,8,2,14,FR,France
+200440,7,3409,690,6128,6,1,11,FR,France
+200439,7,5226,1044,9408,9,2,16,FR,France
+200438,7,3412,0,7137,6,0,12,FR,France
+200437,7,4351,537,8165,7,1,13,FR,France
+200436,7,5121,1260,8982,9,3,15,FR,France
+200435,7,7279,2610,11948,12,4,20,FR,France
+200434,7,6425,1962,10888,11,4,18,FR,France
+200433,7,11183,5394,16972,19,9,29,FR,France
+200432,7,15854,7918,23790,26,13,39,FR,France
+200431,7,17793,5261,30325,30,9,51,FR,France
+200430,7,23244,14352,32136,39,24,54,FR,France
+200429,7,34645,23193,46097,58,39,77,FR,France
+200428,7,19481,11767,27195,32,19,45,FR,France
+200427,7,21322,8377,34267,35,13,57,FR,France
+200426,7,17171,7899,26443,29,14,44,FR,France
+200425,7,26606,17976,35236,44,30,58,FR,France
+200424,7,26142,17142,35142,43,28,58,FR,France
+200423,7,23643,15715,31571,39,26,52,FR,France
+200422,7,16119,9794,22444,27,16,38,FR,France
+200421,7,20283,12915,27651,34,22,46,FR,France
+200420,7,15730,9735,21725,26,16,36,FR,France
+200419,7,22791,15145,30437,38,25,51,FR,France
+200418,7,17807,11014,24600,30,19,41,FR,France
+200417,7,19913,12212,27614,33,20,46,FR,France
+200416,7,19289,11424,27154,32,19,45,FR,France
+200415,7,20587,13594,27580,34,22,46,FR,France
+200414,7,24610,16629,32591,41,28,54,FR,France
+200413,7,22910,15782,30038,38,26,50,FR,France
+200412,7,23468,15220,31716,39,25,53,FR,France
+200411,7,23977,16337,31617,40,27,53,FR,France
+200410,7,25519,15764,35274,42,26,58,FR,France
+200409,7,26592,17202,35982,44,28,60,FR,France
+200408,7,22820,15102,30538,38,25,51,FR,France
+200407,7,23871,16628,31114,40,28,52,FR,France
+200406,7,24567,15700,33434,41,26,56,FR,France
+200405,7,12869,7824,17914,21,13,29,FR,France
+200404,7,13172,8314,18030,22,14,30,FR,France
+200403,7,6442,3015,9869,11,5,17,FR,France
+200402,7,11126,6305,15947,18,10,26,FR,France
+200401,7,24971,13819,36123,41,22,60,FR,France
+200352,7,4920,0,22288,8,0,37,FR,France
+200351,7,10235,2435,18035,17,4,30,FR,France
+200350,7,9805,5520,14090,16,9,23,FR,France
+200349,7,11685,7721,15649,20,13,27,FR,France
+200348,7,6201,3319,9083,10,5,15,FR,France
+200347,7,4897,1842,7952,8,3,13,FR,France
+200346,7,4596,1236,7956,8,2,14,FR,France
+200345,7,3501,1090,5912,6,2,10,FR,France
+200344,7,3469,894,6044,6,2,10,FR,France
+200343,7,4671,1766,7576,8,3,13,FR,France
+200342,7,3855,955,6755,6,1,11,FR,France
+200341,7,3179,427,5931,5,0,10,FR,France
+200340,7,6983,2852,11114,12,5,19,FR,France
+200339,7,952,0,2308,2,0,4,FR,France
+200338,7,1628,0,3406,3,0,6,FR,France
+200337,7,2995,0,6029,5,0,10,FR,France
+200336,7,3595,0,7784,6,0,13,FR,France
+200335,7,1340,0,4253,2,0,7,FR,France
+200334,7,3842,0,10414,6,0,17,FR,France
+200333,7,7269,0,18830,12,0,31,FR,France
+200332,7,2908,0,6463,5,0,11,FR,France
+200331,7,2053,0,4640,3,0,7,FR,France
+200330,7,5106,259,9953,9,1,17,FR,France
+200329,7,8195,0,21289,14,0,36,FR,France
+200328,7,9002,3511,14493,15,6,24,FR,France
+200327,7,4902,1397,8407,8,2,14,FR,France
+200326,7,17746,7867,27625,30,13,47,FR,France
+200325,7,8190,3460,12920,14,6,22,FR,France
+200324,7,33803,13366,54240,56,22,90,FR,France
+200323,7,14278,6733,21823,24,11,37,FR,France
+200322,7,13397,7140,19654,22,12,32,FR,France
+200321,7,12113,3506,20720,20,6,34,FR,France
+200320,7,10454,5534,15374,17,9,25,FR,France
+200319,7,12833,6772,18894,21,11,31,FR,France
+200318,7,25572,16325,34819,43,28,58,FR,France
+200317,7,21556,11493,31619,36,19,53,FR,France
+200316,7,20007,12091,27923,33,20,46,FR,France
+200315,7,26837,18106,35568,45,30,60,FR,France
+200314,7,19148,10594,27702,32,18,46,FR,France
+200313,7,27087,16490,37684,45,27,63,FR,France
+200312,7,24322,15256,33388,41,26,56,FR,France
+200311,7,21652,12929,30375,36,21,51,FR,France
+200310,7,29033,19506,38560,49,33,65,FR,France
+200309,7,28198,17625,38771,47,29,65,FR,France
+200308,7,36298,22548,50048,61,38,84,FR,France
+200307,7,27050,14994,39106,45,25,65,FR,France
+200306,7,25101,14828,35374,42,25,59,FR,France
+200305,7,15588,7493,23683,26,12,40,FR,France
+200304,7,17141,9713,24569,29,17,41,FR,France
+200303,7,18329,11799,24859,31,20,42,FR,France
+200302,7,18829,10035,27623,31,16,46,FR,France
+200301,7,22582,11488,33676,38,19,57,FR,France
+200252,7,20417,12258,28576,34,20,48,FR,France
+200251,7,22444,14164,30724,38,24,52,FR,France
+200250,7,10873,6406,15340,18,10,26,FR,France
+200249,7,16468,2559,30377,28,5,51,FR,France
+200248,7,10264,4123,16405,17,7,27,FR,France
+200247,7,12129,4283,19975,20,7,33,FR,France
+200246,7,5507,1186,9828,9,2,16,FR,France
+200245,7,9335,4813,13857,16,8,24,FR,France
+200244,7,9388,2462,16314,16,4,28,FR,France
+200243,7,10756,4601,16911,18,8,28,FR,France
+200242,7,8703,3946,13460,15,7,23,FR,France
+200241,7,7695,3062,12328,13,5,21,FR,France
+200240,7,7097,2512,11682,12,4,20,FR,France
+200239,7,6215,2540,9890,10,4,16,FR,France
+200238,7,4237,1165,7309,7,2,12,FR,France
+200237,7,1210,0,2674,2,0,4,FR,France
+200236,7,2671,314,5028,4,0,8,FR,France
+200235,7,1193,0,3093,2,0,5,FR,France
+200234,7,5394,1014,9774,9,2,16,FR,France
+200233,7,5395,510,10280,9,1,17,FR,France
+200232,7,11308,1117,21499,19,2,36,FR,France
+200231,7,7163,1350,12976,12,2,22,FR,France
+200230,7,10184,3615,16753,17,6,28,FR,France
+200229,7,11146,5228,17064,19,9,29,FR,France
+200228,7,15908,8318,23498,27,14,40,FR,France
+200227,7,12124,441,23807,20,0,40,FR,France
+200226,7,18706,4188,33224,31,7,55,FR,France
+200225,7,18807,9408,28206,32,16,48,FR,France
+200224,7,15035,9084,20986,25,15,35,FR,France
+200223,7,12617,6916,18318,21,11,31,FR,France
+200222,7,18851,10747,26955,32,18,46,FR,France
+200221,7,14282,7527,21037,24,13,35,FR,France
+200220,7,12558,6860,18256,21,11,31,FR,France
+200219,7,18605,11518,25692,31,19,43,FR,France
+200218,7,10857,5495,16219,18,9,27,FR,France
+200217,7,16252,9537,22967,27,16,38,FR,France
+200216,7,10284,5016,15552,17,8,26,FR,France
+200215,7,19217,9502,28932,32,16,48,FR,France
+200214,7,15585,6215,24955,26,10,42,FR,France
+200213,7,29411,13274,45548,49,22,76,FR,France
+200212,7,12354,7208,17500,21,12,30,FR,France
+200211,7,11781,7053,16509,20,12,28,FR,France
+200210,7,9450,5283,13617,16,9,23,FR,France
+200209,7,11735,5297,18173,20,9,31,FR,France
+200208,7,8153,3653,12653,14,6,22,FR,France
+200207,7,6992,3354,10630,12,6,18,FR,France
+200206,7,7857,3052,12662,13,5,21,FR,France
+200205,7,7405,2868,11942,12,4,20,FR,France
+200204,7,13562,7935,19189,23,14,32,FR,France
+200203,7,8152,4543,11761,14,8,20,FR,France
+200202,7,9486,4411,14561,16,7,25,FR,France
+200201,7,6329,1565,11093,11,3,19,FR,France
+200152,7,5566,2267,8865,9,3,15,FR,France
+200151,7,6045,2630,9460,10,4,16,FR,France
+200150,7,11601,4100,19102,20,7,33,FR,France
+200149,7,5828,851,10805,10,2,18,FR,France
+200148,7,9965,5007,14923,17,9,25,FR,France
+200147,7,6292,2021,10563,11,4,18,FR,France
+200146,7,5424,2218,8630,9,4,14,FR,France
+200145,7,9468,5023,13913,16,8,24,FR,France
+200144,7,4941,1881,8001,8,3,13,FR,France
+200143,7,6978,3201,10755,12,6,18,FR,France
+200142,7,6726,3147,10305,11,5,17,FR,France
+200141,7,5410,1849,8971,9,3,15,FR,France
+200140,7,3320,637,6003,6,1,11,FR,France
+200139,7,1152,0,2569,2,0,4,FR,France
+200138,7,864,0,2411,1,0,4,FR,France
+200137,7,1234,0,3393,2,0,6,FR,France
+200136,7,391,0,1256,1,0,2,FR,France
+200135,7,2539,0,6274,4,0,10,FR,France
+200134,7,1946,0,4439,3,0,7,FR,France
+200133,7,655,0,2046,1,0,3,FR,France
+200132,7,4619,0,10912,8,0,19,FR,France
+200131,7,7622,1190,14054,13,2,24,FR,France
+200130,7,13686,4678,22694,23,8,38,FR,France
+200129,7,12966,4727,21205,22,8,36,FR,France
+200128,7,20908,11957,29859,35,20,50,FR,France
+200127,7,26634,17739,35529,45,30,60,FR,France
+200126,7,13863,7666,20060,23,13,33,FR,France
+200125,7,17329,9452,25206,29,16,42,FR,France
+200124,7,10961,6673,15249,19,12,26,FR,France
+200123,7,7892,3888,11896,13,6,20,FR,France
+200122,7,10912,4621,17203,18,7,29,FR,France
+200121,7,10194,5217,15171,17,9,25,FR,France
+200120,7,10390,5710,15070,18,10,26,FR,France
+200119,7,10976,5927,16025,19,10,28,FR,France
+200118,7,11933,6833,17033,20,11,29,FR,France
+200117,7,16250,9256,23244,27,15,39,FR,France
+200116,7,14131,8691,19571,24,15,33,FR,France
+200115,7,11033,6411,15655,19,11,27,FR,France
+200114,7,18381,12349,24413,31,21,41,FR,France
+200113,7,15253,9582,20924,26,16,36,FR,France
+200112,7,12761,8155,17367,22,14,30,FR,France
+200111,7,11592,6790,16394,20,12,28,FR,France
+200110,7,11220,6697,15743,19,11,27,FR,France
+200109,7,10984,6431,15537,19,11,27,FR,France
+200108,7,18335,10145,26525,31,17,45,FR,France
+200107,7,17404,10389,24419,29,17,41,FR,France
+200106,7,18382,10498,26266,31,18,44,FR,France
+200105,7,13455,7904,19006,23,14,32,FR,France
+200104,7,16438,10780,22096,28,18,38,FR,France
+200103,7,18174,12049,24299,31,21,41,FR,France
+200102,7,22905,16080,29730,39,27,51,FR,France
+200101,7,29487,21117,37857,50,36,64,FR,France
+200052,7,17041,10342,23740,29,18,40,FR,France
+200051,7,11749,7358,16140,20,13,27,FR,France
+200050,7,14215,8706,19724,24,15,33,FR,France
+200049,7,10172,5845,14499,17,10,24,FR,France
+200048,7,13683,8322,19044,23,14,32,FR,France
+200047,7,9924,5066,14782,17,9,25,FR,France
+200046,7,11103,5449,16757,19,9,29,FR,France
+200045,7,7870,3542,12198,13,6,20,FR,France
+200044,7,11328,6118,16538,19,10,28,FR,France
+200043,7,5292,1687,8897,9,3,15,FR,France
+200042,7,4410,1293,7527,8,3,13,FR,France
+200041,7,5242,1813,8671,9,3,15,FR,France
+200040,7,4066,1351,6781,7,2,12,FR,France
+200039,7,4574,885,8263,8,2,14,FR,France
+200038,7,8241,3875,12607,14,7,21,FR,France
+200037,7,3124,423,5825,5,0,10,FR,France
+200036,7,731,0,2044,1,0,3,FR,France
+200035,7,6605,959,12251,11,1,21,FR,France
+200034,7,6924,931,12917,12,2,22,FR,France
+200033,7,10713,3957,17469,18,7,29,FR,France
+200032,7,15736,5003,26469,27,9,45,FR,France
+200031,7,13088,5542,20634,22,9,35,FR,France
+200030,7,16422,9062,23782,28,15,41,FR,France
+200029,7,16543,8116,24970,28,14,42,FR,France
+200028,7,12868,5178,20558,22,9,35,FR,France
+200027,7,18228,10887,25569,31,19,43,FR,France
+200026,7,17377,10789,23965,30,19,41,FR,France
+200025,7,22600,15119,30081,38,25,51,FR,France
+200024,7,16046,10504,21588,27,18,36,FR,France
+200023,7,11887,6681,17093,20,11,29,FR,France
+200022,7,26275,18762,33788,45,32,58,FR,France
+200021,7,15921,9967,21875,27,17,37,FR,France
+200020,7,19178,12565,25791,33,22,44,FR,France
+200019,7,17152,10424,23880,29,18,40,FR,France
+200018,7,17571,10754,24388,30,18,42,FR,France
+200017,7,9999,5672,14326,17,10,24,FR,France
+200016,7,17506,11461,23551,30,20,40,FR,France
+200015,7,23333,14747,31919,40,25,55,FR,France
+200014,7,15027,9838,20216,26,17,35,FR,France
+200013,7,17924,12383,23465,30,21,39,FR,France
+200012,7,15415,9917,20913,26,17,35,FR,France
+200011,7,12359,7372,17346,21,13,29,FR,France
+200010,7,13858,9167,18549,24,16,32,FR,France
+200009,7,9096,5451,12741,15,9,21,FR,France
+200008,7,10596,6574,14618,18,11,25,FR,France
+200007,7,13593,8816,18370,23,15,31,FR,France
+200006,7,9017,5391,12643,15,9,21,FR,France
+200005,7,12681,7750,17612,22,14,30,FR,France
+200004,7,11889,7253,16525,20,12,28,FR,France
+200003,7,9171,5628,12714,16,10,22,FR,France
+200002,7,10268,5957,14579,17,10,24,FR,France
+200001,7,10986,6521,15451,19,11,27,FR,France
+199952,7,10358,5667,15049,18,10,26,FR,France
+199951,7,10099,6132,14066,17,10,24,FR,France
+199950,7,10439,6481,14397,18,11,25,FR,France
+199949,7,7736,4269,11203,13,7,19,FR,France
+199948,7,11414,6754,16074,20,12,28,FR,France
+199947,7,7639,2705,12573,13,5,21,FR,France
+199946,7,6544,0,15074,11,0,26,FR,France
+199945,7,11273,3165,19381,19,5,33,FR,France
+199944,7,8049,3828,12270,14,7,21,FR,France
+199943,7,7788,4226,11350,13,7,19,FR,France
+199942,7,6779,3659,9899,12,7,17,FR,France
+199941,7,5213,2646,7780,9,5,13,FR,France
+199940,7,5018,2256,7780,9,4,14,FR,France
+199939,7,3108,1141,5075,5,2,8,FR,France
+199938,7,2095,143,4047,4,1,7,FR,France
+199937,7,3611,1095,6127,6,2,10,FR,France
+199936,7,2085,116,4054,4,1,7,FR,France
+199935,7,1102,0,2231,2,0,4,FR,France
+199934,7,2813,468,5158,5,1,9,FR,France
+199933,7,7210,2996,11424,12,5,19,FR,France
+199932,7,6981,2822,11140,12,5,19,FR,France
+199931,7,6389,2284,10494,11,4,18,FR,France
+199930,7,10567,4364,16770,18,7,29,FR,France
+199929,7,18284,11145,25423,31,19,43,FR,France
+199928,7,21079,13832,28326,36,24,48,FR,France
+199927,7,18824,12647,25001,32,21,43,FR,France
+199926,7,18098,12190,24006,31,21,41,FR,France
+199925,7,23863,16911,30815,41,29,53,FR,France
+199924,7,18038,12162,23914,31,21,41,FR,France
+199923,7,19660,13601,25719,34,24,44,FR,France
+199922,7,18093,12570,23616,31,22,40,FR,France
+199921,7,15850,10129,21571,27,17,37,FR,France
+199920,7,12241,7408,17074,21,13,29,FR,France
+199919,7,10738,6273,15203,18,10,26,FR,France
+199918,7,20739,14823,26655,35,25,45,FR,France
+199917,7,13993,9229,18757,24,16,32,FR,France
+199916,7,16199,10966,21432,28,19,37,FR,France
+199915,7,19936,13939,25933,34,24,44,FR,France
+199914,7,22907,15999,29815,39,27,51,FR,France
+199913,7,18404,11277,25531,31,19,43,FR,France
+199912,7,19242,13136,25348,33,23,43,FR,France
+199911,7,14923,9872,19974,26,17,35,FR,France
+199910,7,16058,10370,21746,27,17,37,FR,France
+199909,7,11125,6841,15409,19,12,26,FR,France
+199908,7,10840,7075,14605,19,13,25,FR,France
+199907,7,13655,9263,18047,23,15,31,FR,France
+199906,7,17654,12681,22627,30,21,39,FR,France
+199905,7,16838,11942,21734,29,21,37,FR,France
+199904,7,17056,12124,21988,29,21,37,FR,France
+199903,7,18805,13967,23643,32,24,40,FR,France
+199902,7,14863,10135,19591,25,17,33,FR,France
+199901,7,13707,9075,18339,23,15,31,FR,France
+199853,7,24797,17975,31619,43,31,55,FR,France
+199852,7,23616,16902,30330,41,29,53,FR,France
+199851,7,13919,9478,18360,24,16,32,FR,France
+199850,7,20556,15164,25948,35,26,44,FR,France
+199849,7,16232,11327,21137,28,20,36,FR,France
+199848,7,11998,7691,16305,21,14,28,FR,France
+199847,7,13617,8934,18300,23,15,31,FR,France
+199846,7,7646,4419,10873,13,7,19,FR,France
+199845,7,15930,10713,21147,27,18,36,FR,France
+199844,7,14145,9390,18900,24,16,32,FR,France
+199843,7,16707,11447,21967,29,20,38,FR,France
+199842,7,12475,7806,17144,21,13,29,FR,France
+199841,7,13018,8151,17885,22,14,30,FR,France
+199840,7,7396,3653,11139,13,7,19,FR,France
+199839,7,4467,1896,7038,8,4,12,FR,France
+199838,7,3421,1176,5666,6,2,10,FR,France
+199837,7,4489,2136,6842,8,4,12,FR,France
+199836,7,6355,2914,9796,11,5,17,FR,France
+199835,7,7689,3867,11511,13,6,20,FR,France
+199834,7,7235,3191,11279,12,5,19,FR,France
+199833,7,11431,6018,16844,20,11,29,FR,France
+199832,7,20493,9237,31749,35,16,54,FR,France
+199831,7,15619,9125,22113,27,16,38,FR,France
+199830,7,19360,12617,26103,33,21,45,FR,France
+199829,7,17816,11414,24218,31,20,42,FR,France
+199828,7,20757,14385,27129,36,25,47,FR,France
+199827,7,20714,14671,26757,36,26,46,FR,France
+199826,7,24479,17611,31347,42,30,54,FR,France
+199825,7,24462,17924,31000,42,31,53,FR,France
+199824,7,18928,13945,23911,32,23,41,FR,France
+199823,7,13478,8876,18080,23,15,31,FR,France
+199822,7,13213,8997,17429,23,16,30,FR,France
+199821,7,10741,6627,14855,18,11,25,FR,France
+199820,7,23223,17217,29229,40,30,50,FR,France
+199819,7,16130,10667,21593,28,19,37,FR,France
+199818,7,15802,10374,21230,27,18,36,FR,France
+199817,7,14119,8452,19786,24,14,34,FR,France
+199816,7,11744,7632,15856,20,13,27,FR,France
+199815,7,17422,12372,22472,30,21,39,FR,France
+199814,7,20962,15699,26225,36,27,45,FR,France
+199813,7,17029,12181,21877,29,21,37,FR,France
+199812,7,14960,10393,19527,26,18,34,FR,France
+199811,7,13687,9540,17834,23,16,30,FR,France
+199810,7,14294,9623,18965,25,17,33,FR,France
+199809,7,12550,8183,16917,22,15,29,FR,France
+199808,7,15378,10656,20100,26,18,34,FR,France
+199807,7,14618,10083,19153,25,17,33,FR,France
+199806,7,15316,10683,19949,26,18,34,FR,France
+199805,7,11805,7653,15957,20,13,27,FR,France
+199804,7,15746,10733,20759,27,18,36,FR,France
+199803,7,13085,8916,17254,22,15,29,FR,France
+199802,7,10764,6882,14646,18,11,25,FR,France
+199801,7,19222,13376,25068,33,23,43,FR,France
+199752,7,18582,12576,24588,32,22,42,FR,France
+199751,7,10933,6829,15037,19,12,26,FR,France
+199750,7,9622,6005,13239,17,11,23,FR,France
+199749,7,12183,8157,16209,21,14,28,FR,France
+199748,7,7368,4022,10714,13,7,19,FR,France
+199747,7,10482,6595,14369,18,11,25,FR,France
+199746,7,8391,4342,12440,14,7,21,FR,France
+199745,7,7499,3716,11282,13,6,20,FR,France
+199744,7,5492,2442,8542,9,4,14,FR,France
+199743,7,4829,2314,7344,8,4,12,FR,France
+199742,7,4781,2027,7535,8,3,13,FR,France
+199741,7,6622,3367,9877,11,5,17,FR,France
+199740,7,2851,764,4938,5,1,9,FR,France
+199739,7,3242,851,5633,6,2,10,FR,France
+199738,7,2916,579,5253,5,1,9,FR,France
+199737,7,4944,2248,7640,9,4,14,FR,France
+199736,7,2767,679,4855,5,1,9,FR,France
+199735,7,1245,12,2478,2,0,4,FR,France
+199734,7,6971,2145,11797,12,4,20,FR,France
+199733,7,11167,5245,17089,19,9,29,FR,France
+199732,7,12349,6916,17782,21,12,30,FR,France
+199731,7,13276,8068,18484,23,14,32,FR,France
+199730,7,16463,10419,22507,28,18,38,FR,France
+199729,7,12458,6536,18380,21,11,31,FR,France
+199728,7,14155,8553,19757,24,14,34,FR,France
+199727,7,16611,11473,21749,29,20,38,FR,France
+199726,7,14303,10203,18403,25,18,32,FR,France
+199725,7,11562,7487,15637,20,13,27,FR,France
+199724,7,20722,15143,26301,36,26,46,FR,France
+199723,7,11958,8064,15852,21,14,28,FR,France
+199722,7,19175,14023,24327,33,24,42,FR,France
+199721,7,15933,11074,20792,27,19,35,FR,France
+199720,7,16512,11798,21226,28,20,36,FR,France
+199719,7,14490,10231,18749,25,18,32,FR,France
+199718,7,14033,9863,18203,24,17,31,FR,France
+199717,7,17029,12579,21479,29,21,37,FR,France
+199716,7,14686,10709,18663,25,18,32,FR,France
+199715,7,19100,14311,23889,33,25,41,FR,France
+199714,7,17746,13153,22339,31,23,39,FR,France
+199713,7,17384,12873,21895,30,22,38,FR,France
+199712,7,13589,9321,17857,23,16,30,FR,France
+199711,7,16033,11789,20277,28,21,35,FR,France
+199710,7,12351,8688,16014,21,15,27,FR,France
+199709,7,16809,12329,21289,29,21,37,FR,France
+199708,7,9660,6429,12891,17,11,23,FR,France
+199707,7,16751,12377,21125,29,21,37,FR,France
+199706,7,17151,13029,21273,30,23,37,FR,France
+199705,7,12543,9128,15958,22,16,28,FR,France
+199704,7,14475,10891,18059,25,19,31,FR,France
+199703,7,12135,8727,15543,21,15,27,FR,France
+199702,7,15541,11574,19508,27,20,34,FR,France
+199701,7,14432,10701,18163,25,19,31,FR,France
+199652,7,15556,11735,19377,27,20,34,FR,France
+199651,7,14038,10500,17576,24,18,30,FR,France
+199650,7,14236,10857,17615,25,19,31,FR,France
+199649,7,10776,7924,13628,19,14,24,FR,France
+199648,7,7489,4949,10029,13,9,17,FR,France
+199647,7,11826,8573,15079,20,14,26,FR,France
+199646,7,10269,7201,13337,18,13,23,FR,France
+199645,7,17313,12967,21659,30,22,38,FR,France
+199644,7,12095,8643,15547,21,15,27,FR,France
+199643,7,14958,10739,19177,26,19,33,FR,France
+199642,7,14106,10196,18016,24,17,31,FR,France
+199641,7,10302,6968,13636,18,12,24,FR,France
+199640,7,9514,5990,13038,16,10,22,FR,France
+199639,7,6376,3651,9101,11,6,16,FR,France
+199638,7,3835,1587,6083,7,3,11,FR,France
+199637,7,2746,1100,4392,5,2,8,FR,France
+199636,7,4577,2320,6834,8,4,12,FR,France
+199635,7,2624,902,4346,5,2,8,FR,France
+199634,7,6280,3139,9421,11,6,16,FR,France
+199633,7,10194,5347,15041,18,10,26,FR,France
+199632,7,10116,5942,14290,17,10,24,FR,France
+199631,7,14292,9640,18944,25,17,33,FR,France
+199630,7,20862,14786,26938,36,26,46,FR,France
+199629,7,17243,12463,22023,30,22,38,FR,France
+199628,7,16021,11796,20246,28,21,35,FR,France
+199627,7,19880,14406,25354,34,25,43,FR,France
+199626,7,12565,8783,16347,22,15,29,FR,France
+199625,7,19360,14570,24150,33,25,41,FR,France
+199624,7,20778,15610,25946,36,27,45,FR,France
+199623,7,17991,13162,22820,31,23,39,FR,France
+199622,7,18294,13971,22617,32,25,39,FR,France
+199621,7,14000,10136,17864,24,17,31,FR,France
+199620,7,16598,12361,20835,29,22,36,FR,France
+199619,7,11710,8148,15272,20,14,26,FR,France
+199618,7,12140,8325,15955,21,14,28,FR,France
+199617,7,17984,13059,22909,31,22,40,FR,France
+199616,7,10796,7250,14342,19,13,25,FR,France
+199615,7,12766,9101,16431,22,16,28,FR,France
+199614,7,14952,10656,19248,26,19,33,FR,France
+199613,7,12861,9266,16456,22,16,28,FR,France
+199612,7,11592,8202,14982,20,14,26,FR,France
+199611,7,15991,12026,19956,28,21,35,FR,France
+199610,7,13551,9873,17229,23,17,29,FR,France
+199609,7,9737,6799,12675,17,12,22,FR,France
+199608,7,11835,8569,15101,20,14,26,FR,France
+199607,7,9296,6455,12137,16,11,21,FR,France
+199606,7,11330,8078,14582,20,14,26,FR,France
+199605,7,10249,7092,13406,18,13,23,FR,France
+199604,7,9004,6336,11672,16,11,21,FR,France
+199603,7,5904,3709,8099,10,6,14,FR,France
+199602,7,6166,4027,8305,11,7,15,FR,France
+199601,7,7238,4902,9574,12,8,16,FR,France
+199552,7,7808,5225,10391,14,10,18,FR,France
+199551,7,10505,7602,13408,18,13,23,FR,France
+199550,7,9513,7014,12012,16,12,20,FR,France
+199549,7,10263,7482,13044,18,13,23,FR,France
+199548,7,9491,6551,12431,16,11,21,FR,France
+199547,7,11221,8016,14426,19,13,25,FR,France
+199546,7,5104,2852,7356,9,5,13,FR,France
+199545,7,5017,2797,7237,9,5,13,FR,France
+199544,7,8374,5440,11308,14,9,19,FR,France
+199543,7,6365,3429,9301,11,6,16,FR,France
+199542,7,5827,3427,8227,10,6,14,FR,France
+199541,7,5884,3274,8494,10,5,15,FR,France
+199540,7,4653,2571,6735,8,4,12,FR,France
+199539,7,4334,2014,6654,8,4,12,FR,France
+199538,7,3821,1909,5733,7,4,10,FR,France
+199537,7,2297,884,3710,4,2,6,FR,France
+199536,7,2317,870,3764,4,1,7,FR,France
+199535,7,2531,1035,4027,4,1,7,FR,France
+199534,7,5067,2070,8064,9,4,14,FR,France
+199533,7,4709,1793,7625,8,3,13,FR,France
+199532,7,8030,3945,12115,14,7,21,FR,France
+199531,7,12034,7228,16840,21,13,29,FR,France
+199530,7,16283,11419,21147,28,20,36,FR,France
+199529,7,15520,11209,19831,27,20,34,FR,France
+199528,7,21385,16186,26584,37,28,46,FR,France
+199527,7,31707,25490,37924,55,44,66,FR,France
+199526,7,23680,18921,28439,41,33,49,FR,France
+199525,7,27941,22665,33217,48,39,57,FR,France
+199524,7,24813,19263,30363,43,33,53,FR,France
+199523,7,19371,14610,24132,34,26,42,FR,France
+199522,7,16158,12114,20202,28,21,35,FR,France
+199521,7,14986,10952,19020,26,19,33,FR,France
+199520,7,12831,9059,16603,22,15,29,FR,France
+199519,7,15806,11585,20027,27,20,34,FR,France
+199518,7,15333,10987,19679,27,19,35,FR,France
+199517,7,15551,11471,19631,27,20,34,FR,France
+199516,7,15939,12349,19529,28,22,34,FR,France
+199515,7,16126,12689,19563,28,22,34,FR,France
+199514,7,15247,11965,18529,26,20,32,FR,France
+199513,7,16864,13368,20360,29,23,35,FR,France
+199512,7,15875,12429,19321,27,21,33,FR,France
+199511,7,12844,9644,16044,22,16,28,FR,France
+199510,7,15346,11782,18910,27,21,33,FR,France
+199509,7,14754,11260,18248,26,20,32,FR,France
+199508,7,14521,11077,17965,25,19,31,FR,France
+199507,7,14315,10809,17821,25,19,31,FR,France
+199506,7,18089,14383,21795,31,25,37,FR,France
+199505,7,13414,10176,16652,23,17,29,FR,France
+199504,7,15743,12316,19170,27,21,33,FR,France
+199503,7,13763,10614,16912,24,19,29,FR,France
+199502,7,11495,8490,14500,20,15,25,FR,France
+199501,7,13733,10266,17200,24,18,30,FR,France
+199452,7,12696,9453,15939,22,16,28,FR,France
+199451,7,10390,7458,13322,18,13,23,FR,France
+199450,7,8048,5524,10572,14,10,18,FR,France
+199449,7,8212,5651,10773,14,10,18,FR,France
+199448,7,6481,4250,8712,11,7,15,FR,France
+199447,7,7140,4666,9614,12,8,16,FR,France
+199446,7,5021,2972,7070,9,5,13,FR,France
+199445,7,6759,4267,9251,12,8,16,FR,France
+199444,7,9276,5996,12556,16,10,22,FR,France
+199443,7,5622,3091,8153,10,6,14,FR,France
+199442,7,5848,3383,8313,10,6,14,FR,France
+199441,7,4921,2796,7046,9,5,13,FR,France
+199440,7,5936,3694,8178,10,6,14,FR,France
+199439,7,4090,2080,6100,7,4,10,FR,France
+199438,7,2734,1164,4304,5,2,8,FR,France
+199437,7,4364,1957,6771,8,4,12,FR,France
+199436,7,1991,509,3473,3,0,6,FR,France
+199435,7,3676,1494,5858,6,2,10,FR,France
+199434,7,6830,3728,9932,12,7,17,FR,France
+199433,7,6933,3534,10332,12,6,18,FR,France
+199432,7,4851,2299,7403,8,4,12,FR,France
+199431,7,7346,3935,10757,13,7,19,FR,France
+199430,7,17674,12807,22541,31,23,39,FR,France
+199429,7,17175,12461,21889,30,22,38,FR,France
+199428,7,16743,12021,21465,29,21,37,FR,France
+199427,7,22335,17343,27327,39,30,48,FR,France
+199426,7,23679,18832,28526,41,33,49,FR,France
+199425,7,24951,20263,29639,43,35,51,FR,France
+199424,7,29139,22549,35729,51,40,62,FR,France
+199423,7,13583,3641,23525,24,7,41,FR,France
+199422,7,16336,4640,28032,28,8,48,FR,France
+199421,7,16477,11025,21929,29,20,38,FR,France
+199420,7,12872,9458,16286,22,16,28,FR,France
+199419,7,13769,10440,17098,24,18,30,FR,France
+199418,7,13066,9917,16215,23,18,28,FR,France
+199417,7,18648,14838,22458,32,25,39,FR,France
+199416,7,17629,13660,21598,31,24,38,FR,France
+199415,7,23128,18550,27706,40,32,48,FR,France
+199414,7,20128,15971,24285,35,28,42,FR,France
+199413,7,16259,12721,19797,28,22,34,FR,France
+199412,7,15215,11581,18849,26,20,32,FR,France
+199411,7,16439,12812,20066,29,23,35,FR,France
+199410,7,20681,16433,24929,36,29,43,FR,France
+199409,7,22652,17519,27785,39,30,48,FR,France
+199408,7,22067,17044,27090,38,29,47,FR,France
+199407,7,15332,11563,19101,27,20,34,FR,France
+199406,7,15321,11710,18932,27,21,33,FR,France
+199405,7,15264,11523,19005,27,21,33,FR,France
+199404,7,10871,7697,14045,19,13,25,FR,France
+199403,7,10882,7808,13956,19,14,24,FR,France
+199402,7,11834,8348,15320,21,15,27,FR,France
+199401,7,11104,8142,14066,19,14,24,FR,France
+199352,7,9874,6746,13002,17,12,22,FR,France
+199351,7,9565,6818,12312,17,12,22,FR,France
+199350,7,6195,4181,8209,11,7,15,FR,France
+199349,7,10095,7443,12747,18,13,23,FR,France
+199348,7,6413,4261,8565,11,7,15,FR,France
+199347,7,7543,4934,10152,13,8,18,FR,France
+199346,7,7862,5175,10549,14,9,19,FR,France
+199345,7,5648,3511,7785,10,6,14,FR,France
+199344,7,6964,4509,9419,12,8,16,FR,France
+199343,7,5976,3632,8320,10,6,14,FR,France
+199342,7,7669,4853,10485,13,8,18,FR,France
+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