add notebook to check results for dim_county_geography

_shared_utils/shared_utils/add_dim_county_geog.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "4ee66ea4-c26c-460f-81ef-f98b3ab249c7",
    "metadata": {},
    "outputs": [],
@@ -15,10 +15,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "a0263896-0115-4d80-8b9e-730a7b5a5368",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nfrom calitp_data_analysis.tables import tbls\\nfrom siuba import *\\n\\nbridge_orgs_county_geog = (\\n    tbls.mart_transit_database.bridge_organizations_x_headquarters_county_geography()\\n    >> collect()\\n)\\n\\nbridge_orgs_county_geog.to_parquet(\"bridge_orgs_county_geog.parquet\")\\n\\ndim_county_geography = (\\n    tbls.mart_transit_database.dim_county_geography()\\n    >> collect()\\n)\\n\\ndim_county_geography.to_parquet(\"dim_county_geography.parquet\")\\n\\ndim_organizations = (\\n    tbls.mart_transit_database.dim_organizations()\\n    >> collect()\\n)\\n\\ndim_organizations.to_parquet(\"dim_organizations.parquet\")\\n\\nbridge_orgs_county_geog = pd.read_parquet(\"bridge_orgs_county_geog.parquet\")\\ndim_county_geography = pd.read_parquet(\"dim_county_geography.parquet\")\\ndim_organizations = pd.read_parquet(\"dim_organizations.parquet\")\\n'"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "'''\n",
     "from calitp_data_analysis.tables import tbls\n",
@@ -53,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "1aa7fa60-b28f-4530-8e8c-6ba29987286f",
    "metadata": {},
    "outputs": [],