diff --git a/module1/exo2/fichier-markdown.md b/module1/exo2/fichier-markdown.md
index 30d74d258442c7c65512eafab474568dd706c430..cc68a55888f672377fcf3aeed13776e5e09bd4e9 100644
--- a/module1/exo2/fichier-markdown.md
+++ b/module1/exo2/fichier-markdown.md
@@ -1 +1,35 @@
-test
\ No newline at end of file
+# Partie 1
+
+## Sous-partie 1 : texte
+
+Une phrase sans rien
+
+*Une phrase en italique*
+
+**Une phrase en gras**
+
+Un lien vers [fun-mooc.fr](https://www.fun-mooc.fr/)
+
+Une ligne de `code`
+
+## Sous-partie 2 : listes
+
+**Liste à puce**
+
+- item
+ - sous-item
+ - sous-item
+- item
+- item
+
+**Liste numérotée**
+
+1. item
+2. item
+3. item
+
+## Sous-partie 3 : code
+
+```
+# Extrait de code
+```
\ No newline at end of file
diff --git a/module2/exo1/toy_notebook_fr.ipynb b/module2/exo1/toy_notebook_fr.ipynb
index b183087d7e275f1cdb1d1c067515bc4b9d20586b..bf5deae965eb43947d5dad552a60e8f09eade455 100644
--- a/module2/exo1/toy_notebook_fr.ipynb
+++ b/module2/exo1/toy_notebook_fr.ipynb
@@ -12,12 +12,20 @@
    "metadata": {},
    "source": [
     "## 1.1 En demandant à la lib maths\n",
+<<<<<<< HEAD
     "Mon ordinateur m’indique que $\\pi$ vaut *approximativement*"
+=======
+    "Mon ordinateur m'indique que $\\pi$ vaut *approximativement*"
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
    ]
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 1,
+=======
+   "execution_count": 2,
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
    "metadata": {},
    "outputs": [
     {
@@ -43,7 +51,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 2,
+=======
+   "execution_count": 3,
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
    "metadata": {},
    "outputs": [
     {
@@ -52,7 +64,11 @@
        "3.128911138923655"
       ]
      },
+<<<<<<< HEAD
      "execution_count": 2,
+=======
+     "execution_count": 3,
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -76,11 +92,16 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 3,
+=======
+   "execution_count": 4,
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
    "metadata": {},
    "outputs": [
     {
      "data": {
+<<<<<<< HEAD
       "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
@@ -89,6 +110,14 @@
      "metadata": {
       "needs_background": "light"
      },
+=======
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
      "output_type": "display_data"
     }
    ],
@@ -119,7 +148,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 4,
+=======
+   "execution_count": 5,
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
    "metadata": {},
    "outputs": [
     {
@@ -128,7 +161,11 @@
        "3.112"
       ]
      },
+<<<<<<< HEAD
      "execution_count": 4,
+=======
+     "execution_count": 5,
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -147,7 +184,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -161,7 +198,11 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
+<<<<<<< HEAD
    "version": "3.6.4"
+=======
+   "version": "3.10.9"
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
   }
  },
  "nbformat": 4,
diff --git a/module2/exo2/module2_exo2_exercice_fr.ipynb b/module2/exo2/module2_exo2_exercice_fr.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..7eb7cbe7dd3a678f3b1042ec0bd06911bdcfbd95
--- /dev/null
+++ b/module2/exo2/module2_exo2_exercice_fr.ipynb
@@ -0,0 +1,72 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Exercice 02"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = [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, 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, 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, 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, 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",
+    "data = np.array(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mean = 14.11 \n",
+      "Min = 2.80 \n",
+      "Max = 23.40 \n",
+      "Median = 14.50 \n",
+      "Std = 4.33\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(f\"Mean = {np.mean(data):.2f} \\nMin = {np.min(data):.2f} \\nMax = {np.max(data):.2f} \\nMedian = {np.median(data):.2f} \\nStd = {np.std(data,ddof=1):.2f}\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/module2/exo3/module2_exo3_exercice_fr.ipynb b/module2/exo3/module2_exo3_exercice_fr.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..2ddb329d3db2f88a467c2ec365b84f2576174056
--- /dev/null
+++ b/module2/exo3/module2_exo3_exercice_fr.ipynb
@@ -0,0 +1,87 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "70f7489d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "46f791f7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = [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, 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, 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, 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, 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",
+    "data = np.array(data)\n",
+    "\n",
+    "x = np.linspace(0, len(data), len(data))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "a7184947",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1200x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Séquence plot : \n",
+    "\n",
+    "fig1, ax1 = plt.subplots(1,2, figsize=(12,5))\n",
+    "\n",
+    "ax1[0].plot(data, color='b', linewidth=0.8)\n",
+    "ax1[0].set_xlim(0,100)\n",
+    "ax1[0].grid(linestyle =':', color='black')\n",
+    "\n",
+    "ax1[1].hist(data, bins=10, color='b', edgecolor='black', alpha=0.9)\n",
+    "ax1[1].grid(linestyle =':', color='black')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "94d73297",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb
index 770f5b4588aad64e9f8a071016231f3e47424d37..f0f7b42f3dabe30f246468d5e368c2fcb0c24085 100644
--- a/module3/exo1/analyse-syndrome-grippal.ipynb
+++ b/module3/exo1/analyse-syndrome-grippal.ipynb
@@ -9,13 +9,19 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 18,
+=======
+   "execution_count": 1,
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
    "metadata": {},
    "outputs": [],
    "source": [
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
+    "import os\n",
+    "import requests\n",
     "import isoweek"
    ]
   },
@@ -28,7 +34,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 19,
+=======
+   "execution_count": 2,
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
    "metadata": {},
    "outputs": [],
    "source": [
@@ -59,7 +69,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 20,
+=======
+   "execution_count": 3,
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
    "metadata": {},
    "outputs": [
     {
@@ -162,6 +176,7 @@
        "      <td>France</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+<<<<<<< HEAD
        "      <th>5</th>\n",
        "      <td>202451</td>\n",
        "      <td>3</td>\n",
@@ -487,6 +502,8 @@
        "      <td>France</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+=======
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
@@ -500,6 +517,7 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+<<<<<<< HEAD
        "      <th>2070</th>\n",
        "      <td>198521</td>\n",
        "      <td>3</td>\n",
@@ -825,6 +843,8 @@
        "      <td>France</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+=======
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
        "      <th>2095</th>\n",
        "      <td>198448</td>\n",
        "      <td>3</td>\n",
@@ -901,6 +921,7 @@
        "2     202502          3  257247  242991.0  271503.0    384       363.0   \n",
        "3     202501          3  231549  214627.0  248471.0    345       320.0   \n",
        "4     202452          3  201726  185870.0  217582.0    302       278.0   \n",
+<<<<<<< HEAD
        "5     202451          3  201697  187843.0  215551.0    302       281.0   \n",
        "6     202450          3  136694  126369.0  147019.0    205       190.0   \n",
        "7     202449          3  108487   99037.0  117937.0    163       149.0   \n",
@@ -952,6 +973,9 @@
        "2092  198451          3  101726   80242.0  123210.0    185       146.0   \n",
        "2093  198450          3  123680  101401.0  145959.0    225       184.0   \n",
        "2094  198449          3  101073   81684.0  120462.0    184       149.0   \n",
+=======
+       "...      ...        ...     ...       ...       ...    ...         ...   \n",
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
        "2095  198448          3   78620   60634.0   96606.0    143       110.0   \n",
        "2096  198447          3   72029   54274.0   89784.0    131        99.0   \n",
        "2097  198446          3   87330   67686.0  106974.0    159       123.0   \n",
@@ -964,6 +988,7 @@
        "2         405.0        FR   France  \n",
        "3         370.0        FR   France  \n",
        "4         326.0        FR   France  \n",
+<<<<<<< HEAD
        "5         323.0        FR   France  \n",
        "6         220.0        FR   France  \n",
        "7         177.0        FR   France  \n",
@@ -1015,6 +1040,9 @@
        "2092      224.0        FR   France  \n",
        "2093      266.0        FR   France  \n",
        "2094      219.0        FR   France  \n",
+=======
+       "...         ...       ...      ...  \n",
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
        "2095      176.0        FR   France  \n",
        "2096      163.0        FR   France  \n",
        "2097      195.0        FR   France  \n",
@@ -1024,7 +1052,11 @@
        "[2100 rows x 10 columns]"
       ]
      },
+<<<<<<< HEAD
      "execution_count": 20,
+=======
+     "execution_count": 3,
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1038,11 +1070,18 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+<<<<<<< HEAD
     "Modification du code pour utiliser le fichier local contenant les données :"
+=======
+    "Modification du code pour utiliser le fichier local contenant les données :\n",
+    "1. Vérifie si une copie locale des données existe déjà\n",
+    "2. Si elle n'existe pas, télécharge les données depuis le Réseau Sentinelles"
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
    ]
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 5,
    "metadata": {},
    "outputs": [
@@ -1069,6 +1108,247 @@
    ],
    "source": [
     "raw_data = pd.read_csv('https://app-learninglab.inria.fr/moocrr/gitlab/5212fa3d0a7441c34b57f854081c7450/mooc-rr/blob/master/module3/exo1/inc-25-PAY.csv', encoding = 'iso-8859-1', skiprows=1)\n",
+=======
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Téléchargement des données et sauvegarde locale.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>202504</td>\n",
+       "      <td>3</td>\n",
+       "      <td>375118</td>\n",
+       "      <td>356288.0</td>\n",
+       "      <td>393948.0</td>\n",
+       "      <td>560</td>\n",
+       "      <td>532.0</td>\n",
+       "      <td>588.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202503</td>\n",
+       "      <td>3</td>\n",
+       "      <td>253215</td>\n",
+       "      <td>239337.0</td>\n",
+       "      <td>267093.0</td>\n",
+       "      <td>378</td>\n",
+       "      <td>357.0</td>\n",
+       "      <td>399.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202502</td>\n",
+       "      <td>3</td>\n",
+       "      <td>257247</td>\n",
+       "      <td>242991.0</td>\n",
+       "      <td>271503.0</td>\n",
+       "      <td>384</td>\n",
+       "      <td>363.0</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>231549</td>\n",
+       "      <td>214627.0</td>\n",
+       "      <td>248471.0</td>\n",
+       "      <td>345</td>\n",
+       "      <td>320.0</td>\n",
+       "      <td>370.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202452</td>\n",
+       "      <td>3</td>\n",
+       "      <td>201726</td>\n",
+       "      <td>185870.0</td>\n",
+       "      <td>217582.0</td>\n",
+       "      <td>302</td>\n",
+       "      <td>278.0</td>\n",
+       "      <td>326.0</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>2095</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>2096</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>2097</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>2098</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>2099</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>2100 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up inc100  inc100_low  \\\n",
+       "0     202504          3  375118  356288.0  393948.0    560       532.0   \n",
+       "1     202503          3  253215  239337.0  267093.0    378       357.0   \n",
+       "2     202502          3  257247  242991.0  271503.0    384       363.0   \n",
+       "3     202501          3  231549  214627.0  248471.0    345       320.0   \n",
+       "4     202452          3  201726  185870.0  217582.0    302       278.0   \n",
+       "...      ...        ...     ...       ...       ...    ...         ...   \n",
+       "2095  198448          3   78620   60634.0   96606.0    143       110.0   \n",
+       "2096  198447          3   72029   54274.0   89784.0    131        99.0   \n",
+       "2097  198446          3   87330   67686.0  106974.0    159       123.0   \n",
+       "2098  198445          3  135223  101414.0  169032.0    246       184.0   \n",
+       "2099  198444          3   68422   20056.0  116788.0    125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0         588.0        FR   France  \n",
+       "1         399.0        FR   France  \n",
+       "2         405.0        FR   France  \n",
+       "3         370.0        FR   France  \n",
+       "4         326.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "2095      176.0        FR   France  \n",
+       "2096      163.0        FR   France  \n",
+       "2097      195.0        FR   France  \n",
+       "2098      308.0        FR   France  \n",
+       "2099      213.0        FR   France  \n",
+       "\n",
+       "[2100 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "file_path = r\"C:\\Users\\33612\\Downloads\\inc-25-PAY.csv\"\n",
+    "\n",
+    "if not os.path.exists(file_path):\n",
+    "    response = requests.get(data_url)\n",
+    "    with open(file_path, \"wb\") as file:\n",
+    "        file.write(response.content)\n",
+    "    print(\"Téléchargement des données et sauvegarde locale.\")\n",
+    "else:\n",
+    "    print(\"Données locales déjà existantes.\")\n",
+    "\n",
+    "raw_data = pd.read_csv(file_path, encoding = 'iso-8859-1', skiprows=1)\n",
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
     "raw_data"
    ]
   },
@@ -2521,7 +2801,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -2535,9 +2815,13 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
+<<<<<<< HEAD
    "version": "3.6.4"
+=======
+   "version": "3.10.9"
+>>>>>>> 7e8841b694ad2d15a27c499d9ba1c34b8cda2f54
   }
  },
  "nbformat": 4,
  "nbformat_minor": 1
-}
+}
\ No newline at end of file
diff --git a/module3/exo1/inc-25-PAY.csv b/module3/exo1/inc-25-PAY.csv
new file mode 100644
index 0000000000000000000000000000000000000000..ff7b2525b3417c4f4c9b82da509259c4feefd9b0
--- /dev/null
+++ b/module3/exo1/inc-25-PAY.csv
@@ -0,0 +1,256 @@
+# {"source":"r&#233;seau Sentinelles, INSERM, Sorbonne Universit&#233;, https:\/\/www.sentiweb.fr","meta":{"period":[202012,202504],"geo":["PAY",0],"geo_ref":"insee","indicator":"25","type":"all","conf_int":true,"compact":false,"age_group":false,"span":"all"},"date":"2025-01-29T17:06:29+01:00","bundle":"1738166770"}
+week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name
+202504,25,479584,458288,500880,716,684,748,FR,France
+202503,25,331873,315941,347805,495,471,519,FR,France
+202502,25,341954,325501,358407,510,485,535,FR,France
+202501,25,323517,303504,343530,483,453,513,FR,France
+202452,25,288527,269519,307535,433,405,461,FR,France
+202451,25,303406,286288,320524,455,429,481,FR,France
+202450,25,224823,211490,238156,337,317,357,FR,France
+202449,25,192040,179321,204759,288,269,307,FR,France
+202448,25,167988,155804,180172,252,234,270,FR,France
+202447,25,153124,140532,165716,230,211,249,FR,France
+202446,25,110985,100589,121381,166,150,182,FR,France
+202445,25,95469,86201,104737,143,129,157,FR,France
+202444,25,78626,69865,87387,118,105,131,FR,France
+202443,25,100509,90709,110309,151,136,166,FR,France
+202442,25,132611,121676,143546,199,183,215,FR,France
+202441,25,154693,143389,165997,232,215,249,FR,France
+202440,25,160178,148549,171807,240,223,257,FR,France
+202439,25,165030,153301,176759,247,229,265,FR,France
+202438,25,172776,160575,184977,259,241,277,FR,France
+202437,25,114404,104186,124622,172,157,187,FR,France
+202436,25,69076,60823,77329,104,92,116,FR,France
+202435,25,56945,49181,64709,85,73,97,FR,France
+202434,25,54854,46661,63047,82,70,94,FR,France
+202433,25,42722,35041,50403,64,52,76,FR,France
+202432,25,51364,42728,60000,77,64,90,FR,France
+202431,25,58547,49907,67187,88,75,101,FR,France
+202430,25,78760,67253,90267,118,101,135,FR,France
+202429,25,76144,66493,85795,114,100,128,FR,France
+202428,25,103510,91761,115259,155,137,173,FR,France
+202427,25,95397,85288,105506,143,128,158,FR,France
+202426,25,93551,82989,104113,140,124,156,FR,France
+202425,25,104489,94128,114850,157,141,173,FR,France
+202424,25,93416,83247,103585,140,125,155,FR,France
+202423,25,87657,79302,96012,131,118,144,FR,France
+202422,25,83921,75089,92753,126,113,139,FR,France
+202421,25,57374,50188,64560,86,75,97,FR,France
+202420,25,58995,51600,66390,88,77,99,FR,France
+202419,25,45311,38190,52432,68,57,79,FR,France
+202418,25,60414,52520,68308,91,79,103,FR,France
+202417,25,68239,59172,77306,102,88,116,FR,France
+202416,25,67240,58605,75875,101,88,114,FR,France
+202415,25,79320,70126,88514,119,105,133,FR,France
+202414,25,80827,72223,89431,121,108,134,FR,France
+202413,25,85838,77103,94573,129,116,142,FR,France
+202412,25,87946,78990,96902,132,119,145,FR,France
+202411,25,96942,87243,106641,145,130,160,FR,France
+202410,25,108432,98329,118535,163,148,178,FR,France
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+202405,25,301224,286226,316222,452,430,474,FR,France
+202404,25,312596,297185,328007,469,446,492,FR,France
+202403,25,260433,246176,274690,390,369,411,FR,France
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+202341,25,126477,115697,137257,190,174,206,FR,France
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+202339,25,156932,144286,169578,236,217,255,FR,France
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+202335,25,75353,66521,84185,113,100,126,FR,France
+202334,25,62298,53692,70904,94,81,107,FR,France
+202333,25,51315,41862,60768,77,63,91,FR,France
+202332,25,44411,36803,52019,67,56,78,FR,France
+202331,25,45046,37089,53003,68,56,80,FR,France
+202330,25,43645,35319,51971,66,53,79,FR,France
+202329,25,36079,28820,43338,54,43,65,FR,France
+202328,25,32466,25871,39061,49,39,59,FR,France
+202327,25,32116,25876,38356,48,39,57,FR,France
+202326,25,29974,24339,35609,45,37,53,FR,France
+202325,25,33506,27383,39629,50,41,59,FR,France
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+202323,25,42752,36381,49123,64,54,74,FR,France
+202322,25,50539,43068,58010,76,65,87,FR,France
+202321,25,48716,41316,56116,73,62,84,FR,France
+202320,25,44849,37807,51891,67,56,78,FR,France
+202319,25,48729,41382,56076,73,62,84,FR,France
+202318,25,51222,43946,58498,77,66,88,FR,France
+202317,25,65181,56998,73364,98,86,110,FR,France
+202316,25,67943,59918,75968,102,90,114,FR,France
+202315,25,82866,73291,92441,125,111,139,FR,France
+202314,25,98529,87900,109158,148,132,164,FR,France
+202313,25,119724,108822,130626,180,164,196,FR,France
+202312,25,129757,118646,140868,195,178,212,FR,France
+202311,25,129390,118530,140250,195,179,211,FR,France
+202310,25,131370,120657,142083,198,182,214,FR,France
+202309,25,107669,98011,117327,162,147,177,FR,France
+202308,25,124258,113620,134896,187,171,203,FR,France
+202307,25,142739,130843,154635,215,197,233,FR,France
+202306,25,159334,147000,171668,240,221,259,FR,France
+202305,25,152820,141240,164400,230,213,247,FR,France
+202304,25,121411,111309,131513,183,168,198,FR,France
+202303,25,114848,105018,124678,173,158,188,FR,France
+202302,25,130074,119576,140572,196,180,212,FR,France
+202301,25,193195,179660,206730,291,271,311,FR,France
+202252,25,232035,215718,248352,350,325,375,FR,France
+202251,25,372445,352616,392274,562,532,592,FR,France
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+202249,25,296183,280349,312017,447,423,471,FR,France
+202248,25,235044,221092,248996,354,333,375,FR,France
+202247,25,199061,185808,212314,300,280,320,FR,France
+202246,25,147262,135893,158631,222,205,239,FR,France
+202245,25,103238,93558,112918,156,141,171,FR,France
+202244,25,86318,77100,95536,130,116,144,FR,France
+202243,25,116462,103782,129142,176,157,195,FR,France
+202242,25,120953,110276,131630,182,166,198,FR,France
+202241,25,123539,113639,133439,186,171,201,FR,France
+202240,25,117976,108270,127682,178,163,193,FR,France
+202239,25,115474,105715,125233,174,159,189,FR,France
+202238,25,82053,73524,90582,124,111,137,FR,France
+202237,25,62482,55099,69865,94,83,105,FR,France
+202236,25,43450,37073,49827,66,56,76,FR,France
+202235,25,33304,27967,38641,50,42,58,FR,France
+202234,25,32173,26435,37911,49,40,58,FR,France
+202233,25,29216,23034,35398,44,35,53,FR,France
+202232,25,40805,32605,49005,62,50,74,FR,France
+202231,25,42848,35020,50676,65,53,77,FR,France
+202230,25,49485,41725,57245,75,63,87,FR,France
+202229,25,61242,52724,69760,92,79,105,FR,France
+202228,25,72660,63141,82179,110,96,124,FR,France
+202227,25,105803,95020,116586,160,144,176,FR,France
+202226,25,86210,77443,94977,130,117,143,FR,France
+202225,25,66068,58718,73418,100,89,111,FR,France
+202224,25,53312,46832,59792,80,70,90,FR,France
+202223,25,48915,42661,55169,74,65,83,FR,France
+202222,25,44745,38871,50619,67,58,76,FR,France
+202221,25,35684,30219,41149,54,46,62,FR,France
+202220,25,46874,40696,53052,71,62,80,FR,France
+202219,25,42681,36818,48544,64,55,73,FR,France
+202218,25,61938,54472,69404,93,82,104,FR,France
+202217,25,75024,66766,83282,113,101,125,FR,France
+202216,25,103633,93419,113847,156,141,171,FR,France
+202215,25,178168,164846,191490,269,249,289,FR,France
+202214,25,250778,236085,265471,378,356,400,FR,France
+202213,25,288803,273650,303956,436,413,459,FR,France
+202212,25,247537,233872,261202,373,352,394,FR,France
+202211,25,183347,171632,195062,276,258,294,FR,France
+202210,25,140366,129989,150743,212,196,228,FR,France
+202209,25,82748,74732,90764,125,113,137,FR,France
+202208,25,61352,54240,68464,93,82,104,FR,France
+202207,25,70083,62324,77842,106,94,118,FR,France
+202206,25,94774,85822,103726,143,130,156,FR,France
+202205,25,135656,125440,145872,205,190,220,FR,France
+202204,25,144768,134227,155309,218,202,234,FR,France
+202203,25,152651,141883,163419,230,214,246,FR,France
+202202,25,131009,121146,140872,198,183,213,FR,France
+202201,25,140289,129234,151344,212,195,229,FR,France
+202152,25,119284,108280,130288,181,164,198,FR,France
+202151,25,95962,86205,105719,145,130,160,FR,France
+202150,25,98252,89107,107397,149,135,163,FR,France
+202149,25,97448,88847,106049,148,135,161,FR,France
+202148,25,102691,94009,111373,155,142,168,FR,France
+202147,25,95781,87247,104315,145,132,158,FR,France
+202146,25,85173,77239,93107,129,117,141,FR,France
+202145,25,60241,53646,66836,91,81,101,FR,France
+202144,25,57800,50959,64641,87,77,97,FR,France
+202143,25,66246,58313,74179,100,88,112,FR,France
+202142,25,85033,76428,93638,129,116,142,FR,France
+202141,25,75193,67494,82892,114,102,126,FR,France
+202140,25,72779,65395,80163,110,99,121,FR,France
+202139,25,64110,57120,71100,97,86,108,FR,France
+202138,25,46691,40979,52403,71,62,80,FR,France
+202137,25,38158,32682,43634,58,50,66,FR,France
+202136,25,26963,22369,31557,41,34,48,FR,France
+202135,25,24219,19591,28847,37,30,44,FR,France
+202134,25,28967,23539,34395,44,36,52,FR,France
+202133,25,25885,20391,31379,39,31,47,FR,France
+202132,25,30016,23788,36244,45,36,54,FR,France
+202131,25,39744,32220,47268,60,49,71,FR,France
+202130,25,35434,28666,42202,54,44,64,FR,France
+202129,25,33514,27312,39716,51,42,60,FR,France
+202128,25,24111,18384,29838,36,27,45,FR,France
+202127,25,25266,19878,30654,38,30,46,FR,France
+202126,25,20220,15692,24748,31,24,38,FR,France
+202125,25,16520,13155,19885,25,20,30,FR,France
+202124,25,16195,12787,19603,25,20,30,FR,France
+202123,25,17284,13767,20801,26,21,31,FR,France
+202122,25,21595,17630,25560,33,27,39,FR,France
+202121,25,25571,21204,29938,39,32,46,FR,France
+202120,25,28635,24051,33219,43,36,50,FR,France
+202119,25,22076,18039,26113,33,27,39,FR,France
+202118,25,19490,15721,23259,30,24,36,FR,France
+202117,25,24090,19722,28458,36,29,43,FR,France
+202116,25,38224,32624,43824,58,50,66,FR,France
+202115,25,46758,40754,52762,71,62,80,FR,France
+202114,25,51604,45378,57830,78,69,87,FR,France
+202113,25,65268,58302,72234,99,88,110,FR,France
+202112,25,75578,68194,82962,114,103,125,FR,France
+202111,25,57271,50883,63659,87,77,97,FR,France
+202110,25,50943,45071,56815,77,68,86,FR,France
+202109,25,41917,36224,47610,63,54,72,FR,France
+202108,25,51836,45450,58222,78,68,88,FR,France
+202107,25,57614,50967,64261,87,77,97,FR,France
+202106,25,61368,54487,68249,93,83,103,FR,France
+202105,25,62174,55528,68820,94,84,104,FR,France
+202104,25,72814,65305,80323,110,99,121,FR,France
+202103,25,61740,55001,68479,93,83,103,FR,France
+202102,25,50443,44430,56456,76,67,85,FR,France
+202101,25,56078,49481,62675,85,75,95,FR,France
+202053,25,42094,35402,48786,64,54,74,FR,France
+202052,25,35747,29356,42138,54,44,64,FR,France
+202051,25,37600,32121,43079,57,49,65,FR,France
+202050,25,43682,37897,49467,66,57,75,FR,France
+202049,25,36337,31052,41622,55,47,63,FR,France
+202048,25,44146,38122,50170,67,58,76,FR,France
+202047,25,43834,37975,49693,67,58,76,FR,France
+202046,25,58132,51454,64810,88,78,98,FR,France
+202045,25,94838,86206,103470,144,131,157,FR,France
+202044,25,106153,96692,115614,161,147,175,FR,France
+202043,25,103830,94353,113307,158,144,172,FR,France
+202042,25,96541,87664,105418,147,134,160,FR,France
+202041,25,81954,73921,89987,124,112,136,FR,France
+202040,25,67761,60310,75212,103,92,114,FR,France
+202039,25,68999,61350,76648,105,93,117,FR,France
+202038,25,88638,80122,97154,135,122,148,FR,France
+202037,25,56454,49776,63132,86,76,96,FR,France
+202036,25,24149,19991,28307,37,31,43,FR,France
+202035,25,19831,15528,24134,30,23,37,FR,France
+202034,25,11690,7876,15504,18,12,24,FR,France
+202033,25,10848,7145,14551,16,10,22,FR,France
+202032,25,11409,7422,15396,17,11,23,FR,France
+202031,25,13366,9412,17320,20,14,26,FR,France
+202030,25,21428,16609,26247,33,26,40,FR,France
+202029,25,22240,17578,26902,34,27,41,FR,France
+202028,25,17581,13715,21447,27,21,33,FR,France
+202027,25,10817,7957,13677,16,12,20,FR,France
+202026,25,7126,4846,9406,11,8,14,FR,France
+202025,25,7053,4747,9359,11,7,15,FR,France
+202024,25,5269,3493,7045,8,5,11,FR,France
+202023,25,6768,4615,8921,10,7,13,FR,France
+202022,25,8748,6192,11304,13,9,17,FR,France
+202021,25,14651,11353,17949,22,17,27,FR,France
+202020,25,28416,23875,32957,43,36,50,FR,France
+202019,25,27347,22880,31814,42,35,49,FR,France
+202018,25,34618,29499,39737,53,45,61,FR,France
+202017,25,45903,40032,51774,70,61,79,FR,France
+202016,25,60969,54118,67820,93,83,103,FR,France
+202015,25,95364,86665,104063,145,132,158,FR,France
+202014,25,213772,201334,226210,325,306,344,FR,France
+202013,25,297819,283636,312002,452,430,474,FR,France
+202012,25,273062,259400,286724,415,394,436,FR,France
diff --git a/module3/exo2/exercice_fr.ipynb b/module3/exo2/exercice_fr.ipynb
index 0bbbe371b01e359e381e43239412d77bf53fb1fb..bf196a71a07d4066fb5485f75cf09d46e074429b 100644
--- a/module3/exo2/exercice_fr.ipynb
+++ b/module3/exo2/exercice_fr.ipynb
@@ -1,8 +1,988 @@
 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Incidence de la varicelle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import os\n",
+    "import requests\n",
+    "import isoweek"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Les données de l'incidence de la varicelle 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 1991 et se termine avec une semaine récente."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_url = \"https://www.sentiweb.fr/datasets/all/inc-7-PAY.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 scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>202504</td>\n",
+       "      <td>3</td>\n",
+       "      <td>375118</td>\n",
+       "      <td>356288.0</td>\n",
+       "      <td>393948.0</td>\n",
+       "      <td>560</td>\n",
+       "      <td>532.0</td>\n",
+       "      <td>588.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202503</td>\n",
+       "      <td>3</td>\n",
+       "      <td>253215</td>\n",
+       "      <td>239337.0</td>\n",
+       "      <td>267093.0</td>\n",
+       "      <td>378</td>\n",
+       "      <td>357.0</td>\n",
+       "      <td>399.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202502</td>\n",
+       "      <td>3</td>\n",
+       "      <td>257247</td>\n",
+       "      <td>242991.0</td>\n",
+       "      <td>271503.0</td>\n",
+       "      <td>384</td>\n",
+       "      <td>363.0</td>\n",
+       "      <td>405.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202501</td>\n",
+       "      <td>3</td>\n",
+       "      <td>231549</td>\n",
+       "      <td>214627.0</td>\n",
+       "      <td>248471.0</td>\n",
+       "      <td>345</td>\n",
+       "      <td>320.0</td>\n",
+       "      <td>370.0</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202452</td>\n",
+       "      <td>3</td>\n",
+       "      <td>201726</td>\n",
+       "      <td>185870.0</td>\n",
+       "      <td>217582.0</td>\n",
+       "      <td>302</td>\n",
+       "      <td>278.0</td>\n",
+       "      <td>326.0</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>2095</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>2096</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>2097</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>2098</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>2099</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>2100 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator     inc   inc_low    inc_up inc100  inc100_low  \\\n",
+       "0     202504          3  375118  356288.0  393948.0    560       532.0   \n",
+       "1     202503          3  253215  239337.0  267093.0    378       357.0   \n",
+       "2     202502          3  257247  242991.0  271503.0    384       363.0   \n",
+       "3     202501          3  231549  214627.0  248471.0    345       320.0   \n",
+       "4     202452          3  201726  185870.0  217582.0    302       278.0   \n",
+       "...      ...        ...     ...       ...       ...    ...         ...   \n",
+       "2095  198448          3   78620   60634.0   96606.0    143       110.0   \n",
+       "2096  198447          3   72029   54274.0   89784.0    131        99.0   \n",
+       "2097  198446          3   87330   67686.0  106974.0    159       123.0   \n",
+       "2098  198445          3  135223  101414.0  169032.0    246       184.0   \n",
+       "2099  198444          3   68422   20056.0  116788.0    125        37.0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0         588.0        FR   France  \n",
+       "1         399.0        FR   France  \n",
+       "2         405.0        FR   France  \n",
+       "3         370.0        FR   France  \n",
+       "4         326.0        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "2095      176.0        FR   France  \n",
+       "2096      163.0        FR   France  \n",
+       "2097      195.0        FR   France  \n",
+       "2098      308.0        FR   France  \n",
+       "2099      213.0        FR   France  \n",
+       "\n",
+       "[2100 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data = pd.read_csv(data_url, skiprows=1)\n",
+    "raw_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Modification du code pour utiliser le fichier local contenant les données :\n",
+    "1. Vérifie si une copie locale des données existe déjà\n",
+    "2. Si elle n'existe pas, télécharge les données depuis le Réseau Sentinelles"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Données locales déjà existantes.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>202504</td>\n",
+       "      <td>7</td>\n",
+       "      <td>8673</td>\n",
+       "      <td>5508</td>\n",
+       "      <td>11838</td>\n",
+       "      <td>13</td>\n",
+       "      <td>8</td>\n",
+       "      <td>18</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202503</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2471</td>\n",
+       "      <td>1167</td>\n",
+       "      <td>3775</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202502</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5966</td>\n",
+       "      <td>2757</td>\n",
+       "      <td>9175</td>\n",
+       "      <td>9</td>\n",
+       "      <td>4</td>\n",
+       "      <td>14</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202501</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6059</td>\n",
+       "      <td>2451</td>\n",
+       "      <td>9667</td>\n",
+       "      <td>9</td>\n",
+       "      <td>4</td>\n",
+       "      <td>14</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202452</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4356</td>\n",
+       "      <td>1776</td>\n",
+       "      <td>6936</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3</td>\n",
+       "      <td>11</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</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>1777</th>\n",
+       "      <td>199101</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15565</td>\n",
+       "      <td>10271</td>\n",
+       "      <td>20859</td>\n",
+       "      <td>27</td>\n",
+       "      <td>18</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1778</th>\n",
+       "      <td>199052</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19375</td>\n",
+       "      <td>13295</td>\n",
+       "      <td>25455</td>\n",
+       "      <td>34</td>\n",
+       "      <td>23</td>\n",
+       "      <td>45</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1779</th>\n",
+       "      <td>199051</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19080</td>\n",
+       "      <td>13807</td>\n",
+       "      <td>24353</td>\n",
+       "      <td>34</td>\n",
+       "      <td>25</td>\n",
+       "      <td>43</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1780</th>\n",
+       "      <td>199050</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11079</td>\n",
+       "      <td>6660</td>\n",
+       "      <td>15498</td>\n",
+       "      <td>20</td>\n",
+       "      <td>12</td>\n",
+       "      <td>28</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1781</th>\n",
+       "      <td>199049</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1143</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2610</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1782 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator    inc  inc_low  inc_up  inc100  inc100_low  \\\n",
+       "0     202504          7   8673     5508   11838      13           8   \n",
+       "1     202503          7   2471     1167    3775       4           2   \n",
+       "2     202502          7   5966     2757    9175       9           4   \n",
+       "3     202501          7   6059     2451    9667       9           4   \n",
+       "4     202452          7   4356     1776    6936       7           3   \n",
+       "...      ...        ...    ...      ...     ...     ...         ...   \n",
+       "1777  199101          7  15565    10271   20859      27          18   \n",
+       "1778  199052          7  19375    13295   25455      34          23   \n",
+       "1779  199051          7  19080    13807   24353      34          25   \n",
+       "1780  199050          7  11079     6660   15498      20          12   \n",
+       "1781  199049          7   1143        0    2610       2           0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0            18        FR   France  \n",
+       "1             6        FR   France  \n",
+       "2            14        FR   France  \n",
+       "3            14        FR   France  \n",
+       "4            11        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1777         36        FR   France  \n",
+       "1778         45        FR   France  \n",
+       "1779         43        FR   France  \n",
+       "1780         28        FR   France  \n",
+       "1781          5        FR   France  \n",
+       "\n",
+       "[1782 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "file_path = r\"C:\\Users\\33612\\Downloads\\inc-7-PAY.csv\"\n",
+    "\n",
+    "if not os.path.exists(file_path):\n",
+    "    response = requests.get(data_url)\n",
+    "    with open(file_path, \"wb\") as file:\n",
+    "        file.write(response.content)\n",
+    "    print(\"Téléchargement des données et sauvegarde locale.\")\n",
+    "else:\n",
+    "    print(\"Données locales déjà existantes.\")\n",
+    "\n",
+    "raw_data = pd.read_csv(file_path, 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 ? Non."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data[raw_data.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Pas besoin de modifier les données comme dans le cas du syndrome grippal."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = raw_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": 29,
+   "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": 30,
+   "metadata": {},
+   "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": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "periods = sorted_data.index\n",
+    "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
+    "    delta = p2.to_timestamp() - p1.end_time\n",
+    "    if delta > pd.Timedelta('1s'):\n",
+    "        print(p1, p2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Un premier regard sur les données !"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='period'>"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data['inc_up'].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": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='period'>"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data['inc_up'][-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": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    " first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
+    "                     for y in range(1991,\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": 41,
+   "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_up'][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": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "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": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2020     315551\n",
+       "2021     498218\n",
+       "2023     529684\n",
+       "2024     635489\n",
+       "2018     711241\n",
+       "1996     726373\n",
+       "2017     748586\n",
+       "2019     750000\n",
+       "2002     785909\n",
+       "2022     808973\n",
+       "2015     818594\n",
+       "1995     823747\n",
+       "1993     830385\n",
+       "2000     866282\n",
+       "1994     880108\n",
+       "2011     881779\n",
+       "2012     884146\n",
+       "1997     884271\n",
+       "1998     892351\n",
+       "2014     924636\n",
+       "2001     945023\n",
+       "2006     949742\n",
+       "2005     962511\n",
+       "2013     972671\n",
+       "2007     988668\n",
+       "2016    1008333\n",
+       "1999    1055734\n",
+       "2004    1069991\n",
+       "2008    1070668\n",
+       "1992    1084008\n",
+       "2009    1135565\n",
+       "2010    1155636\n",
+       "2003    1159039\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "yearly_incidence.sort_values()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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AALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKzxFEQWLFiggQMHKhwOKxwOa8iQIXrxxRf9qg0AACQ5T0GkR48euu+++1RUVKSioiJdfPHFuvLKK/X+++/7VR8AAEhiaV5mHj16dJ3p2bNna8GCBVq/fr369esX18IAAEDy8xREvqmmpkbLly/XoUOHNGTIkCPO5ziOHMeJTVdUVEiSXNeV67pN3XxSqL39rX0/JAJ61XihVGN3+ymmzk+0XPTKH348Tvn52Bcwxni6B7z33nsaMmSIvvzyS3Xo0EH5+fkaOXLkEefPzc1VXl5evfH8/Hylp6d7rxgAADS7yspK5eTkqLy8XOFwOG7r9RxEqqqqtGvXLu3fv18rVqzQH/7wB61du1ann376Yec/3BmRSCSisrKyuN6QROS6rgoLC5WZmalgMGi7HDSAXjVe/9yXrG4/lGI0a3BUdxWlyIkGrNaChtErf2zOzY77Ol3XVUFBgS9BxPOlmTZt2ujUU0+VJA0ePFgbNmzQ7373Oz366KOHnT8UCikUCtUbDwaDPKB/jX2ROOjVd3NqWsYTihMNtJha0DB6FV+J9hh11J8jYoypc8YDAACgsTydEbnzzjs1YsQIRSIRHThwQMuWLdOaNWu0atUqv+oDAABJzFMQ2bt3r2644Qb997//VadOnTRw4ECtWrVKmZmZftUHAACSmKcg8vjjj/tVBwAAaIX4rhkAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANQQRAABgjacgMmfOHJ199tnq2LGjunbtqjFjxmjLli1+1QYAAJKcpyCydu1aTZs2TevXr1dhYaGqq6uVlZWlQ4cO+VUfAABIYmleZl61alWd6cWLF6tr167auHGjLrjggrgWBgAAkp+nIPJt5eXlkqTOnTsfcR7HceQ4Tmy6oqJCkuS6rlzXPZrNJ7za29/a90MioFeNF0o1drefYur8RMtFr/zhx+OUn499AWNMk+4BxhhdeeWV+vzzz7Vu3bojzpebm6u8vLx64/n5+UpPT2/KpgEAQDOrrKxUTk6OysvLFQ6H47beJgeRadOm6W9/+5v++c9/qkePHkec73BnRCKRiMrKyuJ6QxKR67oqLCxUZmamgsGg7XIarX/uS7ZL8GxzbvZRLW+rV4m4r20LpRjNGhzVXUUpcqIB2+WgAfTKH0f7eHc4ruuqoKDAlyDSpEsz06dP1/PPP6/XXnutwRAiSaFQSKFQqN54MBhMqCdfPyXavnBqEu8BI177t7l7lYj7uqVwogH2X4KgV/GVSM8nkscgYozR9OnTtXLlSq1Zs0a9e/f2qy4AANAKeAoi06ZNU35+vgoKCtSxY0d9+umnkqROnTqpXbt2vhQIAACSl6fPEVmwYIHKy8t10UUXqXv37rF/zzzzjF/1AQCAJOb50gwAAEC88F0zAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAGoIIAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBrPQeS1117T6NGjlZGRoUAgoOeee86HsgAAQGvgOYgcOnRIZ5xxhh5++GE/6gEAAK1ImtcFRowYoREjRvhRCwAAaGU8BxGvHMeR4zix6YqKCkmS67pyXdfvzbdotbc/0fZDKNXYLsGzo93HtnqViPvatlCKqfMTLRe98ocfj1N+PvYFjDFNvgcEAgGtXLlSY8aMOeI8ubm5ysvLqzeen5+v9PT0pm4aAAA0o8rKSuXk5Ki8vFzhcDhu6/X9jMgdd9yhmTNnxqYrKioUiUSUlZUV1xsiSf1zX4rr+vwWSjGaNTiqzMxMBYNB2+U0WqLt53io7dVdRSlyogHb5aAB9Cpx0Ct/bM7Njvs6XddVQUFB3NcrNUMQCYVCCoVC9caDwWDcn3ydmsS8I/uxL/yUqPs5HpxooFXf/kRCrxIHvYqvRHo+kfgcEQAAYJHnMyIHDx7Uxx9/HJvesWOH3nnnHXXu3FknnXRSXIsDAADJzXMQKSoq0vDhw2PTta//mDBhgp588sm4FQYAAJKf5yBy0UUX6SjeaAMAABDDa0QAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANQQRAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAACANU0KIr///e/Vu3dvtW3bVoMGDdK6deviXRcAAGgFPAeRZ555RjNmzNAvf/lLbdq0ScOGDdOIESO0a9cuP+oDAABJzHMQmTdvnn70ox/ppptuUt++fTV//nxFIhEtWLDAj/oAAEASS/Myc1VVlTZu3Kjbb7+9znhWVpbeeOONwy7jOI4cx4lNl5eXS5L27dsn13W91tugtOpDcV2f39KiRpWVUX322WcKBoO2y2m0RNvP8VDbqzQ3RTXRgO1y0AB6lTjolT8+++yzuK/TdV1VVlZKkowxcV23pyBSVlammpoadevWrc54t27d9Omnnx52mTlz5igvL6/eeO/evb1sOmnl2C4AjUavEge9Shz0Kv6Oe8Df9R84cECdOnWK2/o8BZFagUDd5GqMqTdW64477tDMmTNj09FoVPv27VOXLl2OuExrUVFRoUgkopKSEoXDYdvloAH0KnHQq8RBrxJHba8++OADZWRkxHXdnoLIcccdp9TU1HpnP0pLS+udJakVCoUUCoXqjB1zzDHeqkxy4XCYgzBB0KvEQa8SB71KHCeeeKJSUuL7yR+e1tamTRsNGjRIhYWFdcYLCwt13nnnxbUwAACQ/Dxfmpk5c6ZuuOEGDR48WEOGDNGiRYu0a9cu/fjHP/ajPgAAkMQ8B5FrrrlGn332me6++27997//Vf/+/fX3v/9dPXv29KO+pBYKhfSb3/ym3qUrtDz0KnHQq8RBrxKHn70KmHi/DwcAAKCR+K4ZAABgDUEEAABYQxABAADWEEQAAIA1BBEAAGANQaSFeeONNzR16lTt2LFD0lcfiY+W6aWXXtL111+vWbNmad++fbbLQQNeffVVPfzww9q6dWvcv2wT8cfxlBi+/PLLuKyHINJCGGNUXV2tW2+9VQsXLtTTTz8dG0fLUlJSossvv1wTJ05UKBTSGWecoS+++MJ2WfgWY4yefvppRSIRTZgwQfn5+Ro5cqRmz54tiZDf0uzdu1fTp0/XiSeeqLFjx+ruu++OfYssj4Mtx5YtWzR16lQNGDBAkydP1qJFi2K/a2qfCCItRCAQ0Pvvv6+SkhJNmTJFq1atkiSlpqZargy1ap+4lixZooMHD+r999/XE088oSuuuEInnnii5erwbcXFxXrooYd0yy23qLi4WCtWrNB1112np556StXV1XH/vgw0XTQa1f3336+33npLjzzyiEaMGKHHHntMU6dOlVT/i1bR/BzH0cKFCzVmzBiVlpbqtttuU/v27XXrrbfGwkhT+9Skb9+FP1atWqXJkyerZ8+eevXVV7V27VpdeOGFikajPGi2ACkpKXIcR48//rgWL16sdu3aaf78+fr888+VnZ2tgQMHqkOHDg1+GzWaz7Zt27Rp0yY999xzCgaD6t69uwKBgM466yw5jqO0NB7+WoqSkhI9+OCDWrlypUaPHi1J6tu3r2688UY988wzuuaaayxXiKqqKhUVFWnGjBn64Q9/qFAopPHjx+t///uf1q5dq2uuuUadOnVq0rp5dmsGH330UYPX0mr/0n799dd12mmn6eKLL1a3bt307LPPShIhpBl9V68+/fRTdejQQW+++aauuuoqrVixQu+8847Gjh2rGTNmNF+h+M5epaWl6YQTTtCDDz6o0tJSPf7441q+fLnOPffc2DHHKf+W4ZNPPlEkElGPHj1iY5dccomuuOIKPfDAAxYrQ62OHTvqF7/4haZMmaJQKKSqqipJUkZGhvbs2aNOnTpxaaal+eKLLzRr1iwdf/zxysrK0mWXXaYXXngh9vtvNiwlJUXbtm3T9u3bNXr0aEUiEWVlZWndunX6wx/+oH/84x88YPrIS68OHDigLl266IknntAJJ5ygV155RU899ZQeeeQRPfHEE3rzzTc5G+KjxvSqtl+XXHKJfvvb32r//v3KyMjQ3Llzdd5552nJkiU677zztGXLFnrls61bt+r222/X8uXLVVNTU+/3tb1yHEfHHHOMiouLY79r166drr/+em3cuFElJSXNVnNr9F19qtWnTx9JX/WtTZs2+vLLL7V582aNGDFC0lFcQjPwxV/+8hczcOBA88wzz5hNmzaZa6+91px66qnmj3/8ozHGmJqamjrzr1u3zkyaNMkYY8z69evNOeecY9q0aWNSUlJMQUGBqaqqavbb0Fp46VU0GjWjR482gUDAvPHGG3XWM2TIEDN16tR6yyB+vB5Xxhgzffp0M3nyZFNeXm6MMWbv3r3mBz/4gfnhD39ojPmqp4ivAwcOmNmzZ5vTTjvNBAIBM3LkSLNv374G5+/Tp4/Jy8szruvGxnfv3m169OhhFixYYIzhuIo3r336trffftv06NHDbN68+ajq4IyID6qrq7Vy5Uode+yxuvrqq3XmmWdq6dKlGjJkiBYuXKhDhw7FLreYr/8ieOKJJ7Rs2TKdcMIJys7OVteuXTVo0CCNGzdOV1xxBdezfeKlV9FoVIFAQCNGjFDbtm21YcOG2Dok6dRTT9Xu3bslcTnND156VWv//v16++23de655yocDqumpkZdu3bV0KFD9c4770jihZB+CAQCqq6u1l133aWlS5dq7dq1dc52fFM0GlWHDh10zjnn6PXXX9dHH30U+127du10+umnc1z5xEufDue+++7T0KFD1a9fv6M6a09XffLxxx/r4osvrjN29dVXa9++fVqxYoWkrx5Ya0+DXXvttbrgggs0b948FRcX6/nnn9eVV16poqIi7dmzhwdLHzWmVzU1NbEDbdSoUbr00ktjT35paWnauXOn/vWvf2ns2LHNXn9r0the1b4GZO/evXJdVzt37pT01bvQSkpKtGbNGo0ePZpLnj5p3769pkyZohtuuEHXXHON0tLS9PLLL8dC+zfV9mDSpEkqLS3V0qVLY7/bv3+/1q1bp7PPPrvZam9NvPTp24qKilRYWKhZs2ZJ+irUfPjhh036KAOCiA/S0tLUoUMHffjhh3U+POnMM89U//799fzzz8fmqz3TkZWVpb/+9a/KyclR586dJUmnn366evToEftwM8RfY3uVmpoaeyv1SSedpDlz5ujgwYM677zzdN111+niiy/WgAEDYtdKEX9eelX7l/P3vvc9ZWdn68EHH9SkSZM0ffp0DR8+XMcee6wmTpxIwPdRt27dYn9ojRs3TitWrKj3QWXRaDR2XF100UW6+uqr9bvf/U633367XnnlFd1zzz06//zzNWTIkGavv7VobJ++bcWKFbrqqqtUVVWl2267TV26dNG1116r7du3ey/iqC7s4IgWLFhgunbtavbs2RMbq66uNnfeeae58MILzf/+9z9jjDHvvfee+eSTT4wx/3f9s/aateM4zVx16+SlVzt27IjNs337drNkyRIzefJk8+yzzzZ32a2Sl14VFxcbY4z5/PPPzdKlS81NN91kxo0bZ1auXGmj9Fap9jHt3XffNYFAwLzyyiuHne/gwYOx/8+fP9+MGjXKHHfccebSSy81b731VrPU2po1tk+VlZXGGGOKi4tN+/btTSAQMKmpqeaCCy4wy5cvb/L2CSI+KS0tNaFQyCxevNhUV1fHxnNzc835559vvvjiC/Puu++awYMHmylTphhjeNGcLU3pFS+as6MpvarF8WVH7X7v1auXmTlzZp0/sHbu3GkmTpxo7r777jrLVFRU8IdYM2tMn/Ly8owxxnzwwQdm7Nix5k9/+pP54osvjnrbXJrxyfHHH69x48Zp4cKF2rRpU2z8gw8+UEpKitq2bavTTjtNw4cP17BhwyTxojlbmtIrXjRnR1N6VYvjy47a0/4TJ05UQUGBSktLVV5eru3bt+u4445TSUlJvcvPHTt2VJs2bWyU22o1pk+ffPKJjDHq27evli9frvHjx6tt27ZHv/GjjjI4oi1btpjs7GzTrVs38+ijj5qf/OQn5uSTTzZr1qyxXRq+hV4lDnqVWGr/0t6xY4cJBAJm2LBh5phjjjFjxowxVVVVpqyszHKFMMZunwLG8LJxP+3evVsLFizQunXr1KZNG/3sZz/jBY0tFL1KHPQqcVRVVWnevHlatGiRdu/erZEjR2r8+PG8w6yFsdkngoiPzDe+c6SmpoYvsGvB6FXioFeJ5csvv1Rubq46deqkW265JT6n8hF3NvtEEAEAANbwijsAAGANQQQAAFhDEAEAANYQRAAAgDUEEQAAYA1BBAAAWEMQAQAA1hBEAABIAq+99ppGjx6tjIwMBQIBPffcc57XYYzR/fffrz59+igUCikSiejee++Nf7HfkObr2gEAQLM4dOiQzjjjDE2cOFFXXXVVk9Zx8803a/Xq1br//vs1YMAAlZeXq6ysLM6V1sUnqwIAkGQCgYBWrlypMWPGxMaqqqr0q1/9Sk8//bT279+v/v37a+7cubroooskSR9++KEGDhyozZs363vf+16z1cqlGQAAWoGJEyfq9ddf17Jly/Tvf/9b48aN02WXXaZt27ZJkl544QWdfPLJ+utf/6revXurV69euummm7Rv3z5f6yKIAACQ5IqLi7V06VItX75cw4YN0ymnnKJbb71V559/vhYvXixJ2r59u3bu3Knly5dryZIlevLJJ7Vx40bfv4GX14gAAJDk3n77bRlj1KdPnzrjjuOoS5cukqRoNCrHcbRkyZLYfI8//rgGDRqkLVu2+Ha5hiACAECSi0ajSk1N1caNG5Wamlrndx06dJAkde/eXWlpaXXCSt++fSVJu3btIogAAICmOeuss1RTU6PS0lINGzbssPMMHTpU1dXVKi4u1imnnCJJ2rp1qySpZ8+evtXGu2YAAEgCBw8e1Mcffyzpq+Axb948DR8+XJ07d9ZJJ52k8ePH6/XXX9cDDzygs846S2VlZfrHP/6hAQMGaOTIkYpGozr77LPVoUMHzZ8/X9FoVNOmTVM4HNbq1at9q5sgAgBAElizZo2GDx9eb3zChAl68skn5bqu7rnnHi1ZskT/+c9/1KVLFw0ZMkR5eXkaMGCAJGnPnj2aPn26Vq9erfbt22vEiBF64IEH1LlzZ9/qJogAAABrePsuAACwhiACAACsIYgAAABrCCIAAMAagggAALCGIAIAAKwhiAAAAGsIIgAAwBqCCAAAsIYgAgAArCGIAAAAawgiAADAmv8PU6ZX7UjnVVIAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "yearly_incidence.hist(xrot=20)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -16,10 +996,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 1
 }
-
diff --git a/module3/exo3/exercice_fr.ipynb b/module3/exo3/exercice_fr.ipynb
index 02bd33f34a2a5c1883a678ee6d1eac68dfe59661..45aa1071407366bfd5b8ca46c6a60013e8d67101 100644
--- a/module3/exo3/exercice_fr.ipynb
+++ b/module3/exo3/exercice_fr.ipynb
@@ -1094,7 +1094,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1146,7 +1146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1162,7 +1162,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1178,7 +1178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1198,7 +1198,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1207,7 +1207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -1236,7 +1236,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -1271,7 +1271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1925,7 +1925,7 @@
        "[3358 rows x 6 columns]"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1937,7 +1937,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1957,7 +1957,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1984,7 +1984,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 21,
    "metadata": {
     "scrolled": true
    },
@@ -2015,7 +2015,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {