diff --git a/module3/exo1/influenza-like-illness-analysis.ipynb b/module3/exo1/influenza-like-illness-analysis.ipynb index 38631f2feefbf4d1091f24580ad91686aba514d6..9ea840e4ed4443c8ac1e55869b0720926da75fe2 100644 --- a/module3/exo1/influenza-like-illness-analysis.ipynb +++ b/module3/exo1/influenza-like-illness-analysis.ipynb @@ -16,14 +16,7 @@ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", - "import isoweek\n", - "\n", - "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n", - "data_file = \"syndrome-grippal.csv\"\n", - "import os\n", - "import urllib.request\n", - "if not os.path.exists(data_file):\n", - " urllib.request.urlretrieve(data_url, data_file)" + "import isoweek\n" ] }, { @@ -33,6 +26,15 @@ "The data on the incidence of influenza-like illness are available from the Web site of the [Réseau Sentinelles](http://www.sentiweb.fr/). We download them as a file in CSV format, in which each line corresponds to a week in the observation period. Only the complete dataset, starting in 1984 and ending with a recent week, is available for download." ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -40,6 +42,20 @@ "In order to protect us in case the Réseau Sentinelles Web server disappears or is modified, we make a local copy of this dataset that we store together with our analysis. It is unnecessary and even risky to download the data at each execution, because in case of a malfunction we might be replacing our file by a corrupted version. Therefore we download the data only if no local copy exists." ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data_file = \"syndrome-grippal.csv\"\n", + "\n", + "import os\n", + "import urllib.request\n", + "if not os.path.exists(data_file):\n", + " urllib.request.urlretrieve(data_url, data_file)" + ] + }, { "cell_type": "markdown", "metadata": {},