diff --git a/module3/exo1/influenza-like-illness-analysis.ipynb b/module3/exo1/influenza-like-illness-analysis.ipynb
index c8ccc621278fe4a3eefc05012a2dae576e2ee916..8020146aba2398dd849dece5e4f516ac6b81c2fe 100644
--- a/module3/exo1/influenza-like-illness-analysis.ipynb
+++ b/module3/exo1/influenza-like-illness-analysis.ipynb
@@ -2475,23 +2475,82 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th># @source=\"réseau Sentinelles</th>\n",
+       "      <th>INSERM</th>\n",
+       "      <th>Sorbonne Université</th>\n",
+       "      <th>http://www.sentiweb.fr\"</th>\n",
+       "      <th>@meta={\"period\":[198444</th>\n",
+       "      <th>202309]</th>\n",
+       "      <th>geo:[\"PAY\"</th>\n",
+       "      <th>1]</th>\n",
+       "      <th>geo_ref:\"insee\"</th>\n",
+       "      <th>indicator:\"3\"</th>\n",
+       "      <th>type:\"all\"</th>\n",
+       "      <th>conf_int:true</th>\n",
+       "      <th>compact:false}</th>\n",
+       "      <th>@date=2023-03-12T17:29:51+01:00</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [# @source=\"réseau Sentinelles,  INSERM,  Sorbonne Université,  http://www.sentiweb.fr\",  @meta={\"period\":[198444, 202309], geo:[\"PAY\", 1], geo_ref:\"insee\", indicator:\"3\", type:\"all\", conf_int:true, compact:false},  @date=2023-03-12T17:29:51+01:00]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import isoweek\n",
+    "import os\n",
     "\n",
     "\n",
-    "local_file = \"incidence-PAY-3.csv\"\n",
+    "data_file = \"incidence-PAY-3.csv\"\n",
     "\n",
-    "if not os.path.exists(local_file):\n",
+    "if not os.path.isfile(data_file):\n",
     "    data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n",
-    "    raw_data = pd.read_csv(data_url, skiprows=1)\n",
-    "    raw_data.to_csv(local_file, index=False)\n",
+    "    raw_data = pd.read_csv(data_url, encoding='iso-8859-1', skiprows=1)\n",
+    "    raw_data.to_csv(data_file, index=False)\n",
     "else:\n",
-    "    raw_data = pd.read_csv(local_file, encoding='ISO-8859-1')\n",
+    "    raw_data = pd.read_csv(data_file, encoding='iso-8859-1')\n",
     "\n",
     "data = raw_data.dropna().copy()\n",
-    "\n"
+    "\n",
+    "data"
    ]
   },
   {