From f1ac7f81c4489b597b3373c20ba1b8f63134d662 Mon Sep 17 00:00:00 2001
From: 1071ae964b205fc96951cf272887f050
 <1071ae964b205fc96951cf272887f050@app-learninglab.inria.fr>
Date: Sun, 22 Jun 2025 14:15:18 +0000
Subject: [PATCH] a small update

---
 .../influenza-like-illness-analysis.ipynb     | 62 ++++++++-----------
 1 file changed, 27 insertions(+), 35 deletions(-)

diff --git a/module3/exo1/influenza-like-illness-analysis.ipynb b/module3/exo1/influenza-like-illness-analysis.ipynb
index 778cf9d..57b0f03 100644
--- a/module3/exo1/influenza-like-illness-analysis.ipynb
+++ b/module3/exo1/influenza-like-illness-analysis.ipynb
@@ -9,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -30,12 +30,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "I modified this computational document such that it uses a local copy of the data. If the local file does not exist, download the data and put them into the local file. And then read the local CSV file."
+    "I modified this computational document such that it uses a local file. If the local file exists, use it. If the local file does not exist, download the file from the website of the Réseau Sentinelles. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -43,7 +43,7 @@
     "import urllib.request\n",
     "\n",
     "local_file_for_this_task = \"local_data.csv\"\n",
-    "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n",
+    "data_url = \"https://www.sentiweb.fr/datasets/all/inc-3-PAY.csv\"\n",
     "\n",
     "if not os.path.exists(local_file_for_this_task):\n",
     "    urllib.request.urlretrieve(data_url, local_file_for_this_task)\n",
@@ -70,26 +70,14 @@
     "| `geo_insee`  | Identifier of the geographic area, from INSEE https://www.insee.fr                                                        |\n",
     "| `geo_name`   | Geographic label of the area, corresponding to INSEE code. This label is not an id and is only provided for human reading |\n",
     "\n",
-    "The first line of the CSV file is a comment, which we ignore with `skip=1`."
+    "The first line of the CSV file is a comment, which we ignore with `skiprows=1`."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'pd' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-4-7c69161e8105>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mraw_data\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlocal_file_for_this_task\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskiprows\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mraw_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "raw_data = pd.read_csv(local_file_for_this_task, skiprows=1)\n",
     "raw_data"
@@ -148,9 +136,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def convert_week(year_and_week_int):\n",
@@ -179,9 +165,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "sorted_data = data.set_index('period').sort_index()"
@@ -276,9 +260,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n",
@@ -298,9 +280,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "year = []\n",
@@ -366,9 +346,21 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
    "source": []
   }
-- 
2.18.1