added diet and location data

exercises/tabular_join/tabular_join.ipynb

@@ -329,9 +329,21 @@
    "execution_count": 5,
    "id": "861ac334-14ce-490a-b3c4-877b32789f3e",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6324, 16)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "## your code here\n"
+    "## yourd\n",
+    "df.shape"
    ]
   },
   {
@@ -347,9 +359,21 @@
    "execution_count": 6,
    "id": "14f57842-5722-4953-88d6-d7cf3070400c",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(6287, 3)"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "## your code here\n"
+    "## your code here\n",
+    "info.shape"
    ]
   },
   {
@@ -370,8 +394,7 @@
    "outputs": [],
    "source": [
     "## your code here\n",
-    "\n",
-    "\n"
+    "data_with_diet = df.merge(info,how = 'inner', on = ['location-id', 'patient-id'])"
    ]
   },
   {
@@ -474,7 +497,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "## your code here:\n"
+    "## your code here:\n",
+    "data_with_locations = data_with_diet.merge(locations, on = 'location-id')"
    ]
   },
   {
@@ -607,7 +631,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here\n"
+    "# your code here\n",
+    "data_without_dropouts = data_with_location"
    ]
   },
   {
@@ -649,7 +674,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.13.6"
   }
  },
  "nbformat": 4,