Merge pull request #22 from BU-Spark/rerun-plotting

Created selected reference data CSV file containing selected reference data for the top 10 sp…

data_cleaning.ipynb

@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 24,
    "id": "1609308f",
    "metadata": {
     "scrolled": true
@@ -75,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 25,
    "id": "ef76fac6",
    "metadata": {
     "scrolled": true
@@ -268,7 +268,7 @@
        "4          -2.0            -2.0           -2.0         -2.0         -2.0  "
       ]
      },
-     "execution_count": 3,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2347,6 +2347,35 @@
     "    new_df = clean_df(ref_df) # Clean reference data\n",
     "    new_df.to_csv('./all data/reference/{}'.format(tablename), index=False) # Save cleaned reference data to disk in reference folder"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "2980acaa",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Kerala', 'Karnataka', 'Telangana', 'Puducherry', 'Maharashtra',\n",
+       "       'Tamil Nadu', 'Goa', 'Odisha', 'Manipur', 'Andhra Pradesh',\n",
+       "       'Rajasthan', 'West Bengal', 'Chhattisgarh', 'Madhya Pradesh',\n",
+       "       'Punjab', 'Gujarat', 'Andaman and Nicobar Islands',\n",
+       "       'Uttar Pradesh', 'Uttarakhand', 'Assam', 'Meghalaya', 'Nagaland',\n",
+       "       'Tripura', 'Delhi', 'Jammu and Kashmir', 'Himachal Pradesh',\n",
+       "       'Jharkhand', 'Haryana', 'Arunachal Pradesh', 'Bihar',\n",
+       "       'Lakshadweep', 'Sikkim', 'Chandigarh', 'Dadra and Nagar Haveli'],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.read_csv(\"updated_alldata.csv\")[\"State_name\"].unique()"
+   ]
   }
  ],
  "metadata": {