diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb
index 584c625e8cc24e7b4e5479dca83a0ebad317af86..15a9bbd616a27a0330115a261cb80ee664835707 100644
--- a/module3/exo3/exercice.ipynb
+++ b/module3/exo3/exercice.ipynb
@@ -8056,7 +8056,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 81,
    "metadata": {},
    "outputs": [
     {
@@ -8064,62 +8064,51 @@
      "output_type": "stream",
      "text": [
       "Belgium\n",
-      "confirmed cases    169\n",
-      "Name: 2020-03-07 00:00:00, dtype: object\n",
+      "2020-03-07 00:00:00\n",
+      "2020-04-06 00:00:00\n",
       "China (all provinces except Hong Kong)\n",
-      "confirmed cases    548\n",
-      "Name: 2020-01-22 00:00:00, dtype: object\n",
+      "2020-01-22 00:00:00\n",
+      "2020-02-21 00:00:00\n",
       "China\n",
-      "confirmed cases    548\n",
-      "Name: 2020-01-22 00:00:00, dtype: object\n",
+      "2020-01-22 00:00:00\n",
+      "2020-02-21 00:00:00\n",
       "Hong-Kong\n",
-      "confirmed cases    155\n",
-      "Name: 2020-03-16 00:00:00, dtype: object\n",
+      "2020-03-16 00:00:00\n",
+      "2020-04-15 00:00:00\n",
       "France except Dom/Tom\n",
-      "confirmed cases    191\n",
-      "Name: 2020-03-02 00:00:00, dtype: object\n",
+      "2020-03-02 00:00:00\n",
+      "2020-04-01 00:00:00\n",
       "Germany\n",
-      "confirmed cases    159\n",
-      "Name: 2020-03-02 00:00:00, dtype: object\n",
+      "2020-03-02 00:00:00\n",
+      "2020-04-01 00:00:00\n",
       "Iran\n",
-      "confirmed cases    245\n",
-      "Name: 2020-02-27 00:00:00, dtype: object\n",
+      "2020-02-27 00:00:00\n",
+      "2020-03-28 00:00:00\n",
       "Italy\n",
-      "confirmed cases    155\n",
-      "Name: 2020-02-23 00:00:00, dtype: object\n",
+      "2020-02-23 00:00:00\n",
+      "2020-03-24 00:00:00\n",
       "Japan\n",
-      "confirmed cases    159\n",
-      "Name: 2020-02-24 00:00:00, dtype: object\n",
+      "2020-02-24 00:00:00\n",
+      "2020-03-25 00:00:00\n",
       "Korea South\n",
-      "confirmed cases    204\n",
-      "Name: 2020-02-21 00:00:00, dtype: object\n",
+      "2020-02-21 00:00:00\n",
+      "2020-03-22 00:00:00\n",
       "Netherlands without the colonies\n",
-      "confirmed cases    188\n",
-      "Name: 2020-03-07 00:00:00, dtype: object\n",
+      "2020-03-07 00:00:00\n",
+      "2020-04-06 00:00:00\n",
       "Portugal\n",
-      "confirmed cases    169\n",
-      "Name: 2020-03-14 00:00:00, dtype: object\n",
+      "2020-03-14 00:00:00\n",
+      "2020-04-13 00:00:00\n",
       "Spain\n",
-      "confirmed cases    165\n",
-      "Name: 2020-03-03 00:00:00, dtype: object\n",
+      "2020-03-03 00:00:00\n",
+      "2020-04-02 00:00:00\n",
       "United Kingdom without the colonies\n",
-      "confirmed cases    163\n",
-      "Name: 2020-03-06 00:00:00, dtype: object\n",
+      "2020-03-06 00:00:00\n",
+      "2020-04-05 00:00:00\n",
       "US\n",
-      "confirmed cases    219\n",
-      "Name: 2020-03-05 00:00:00, dtype: object\n"
+      "2020-03-05 00:00:00\n",
+      "2020-04-04 00:00:00\n"
      ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "confirmed cases    219\n",
-       "Name: 2020-03-05 00:00:00, dtype: object"
-      ]
-     },
-     "execution_count": 72,
-     "metadata": {},
-     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -8127,7 +8116,9 @@
     "for region, data in to_plot.items():  # something is wrong here!\n",
     "    print(region)\n",
     "    row = data[data[\"confirmed cases\"] >= 150].iloc[0]\n",
-    "    print(row)\n",
+    "    print(row.name)\n",
+    "    date_to_look_at = row.name + datetime.timedelta(days=30)\n",
+    "    print(date_to_look_at)\n",
     "    \n",
     "#     col = data.columns[0]    \n",
     "#     for i, val in enumerate(data[\"confirmed cases\"]):\n",
@@ -8148,22 +8139,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 79,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "pandas.core.series.Series"
+       "Timestamp('2020-03-05 00:00:00')"
       ]
      },
-     "execution_count": 77,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "type(row)"
+    "row.name"
    ]
   },
   {