Recommited for correcting the table display part now working

module3/exo1/influenza-like-illness-analysis.org

@@ -82,7 +82,8 @@ if not os.path.exists(data_file):
 #+END_SRC
 
 #+BEGIN_SRC python :results silent :var data_url=data-url
-data = urlopen(data_url).read()
+#data = urlopen(data_url).read()
+data = open(data_file, 'rb').read()
 lines = data.decode('latin-1').strip().split('\n')
 data_lines = lines[1:]
 table = [line.split(',') for line in data_lines]
@@ -94,6 +95,11 @@ table[:5]
 #+END_SRC
 
 #+RESULTS:
+|   week | indicator |    inc | inc_low |  inc_up | inc100 | inc100_low | inc100_up | geo_insee | geo_name |
+| 202011 |         3 | 101704 |  93652 | 109756 |    154 |       142 |      166 | FR       | France  |
+| 202010 |         3 | 104977 |  96650 | 113304 |    159 |       146 |      172 | FR       | France  |
+| 202009 |         3 | 110696 | 102066 | 119326 |    168 |       155 |      181 | FR       | France  |
+| 202008 |         3 | 143753 | 133984 | 153522 |    218 |       203 |      233 | FR       | France  |
 
 ** Checking for missing data
 Unfortunately there are many ways to indicate the absence of a data value in a dataset. Here we check for a common one: empty fields. For completeness, we should also look for non-numerical data in numerical columns. We don't do this here, but checks in later processing steps would catch such anomalies.