Add median house value to Definition L (#882)

* Added house value to ETL

* Adding house value to score formula and comp tool

data/data-pipeline/data_pipeline/ipython/census_explore.ipynb

@@ -3,6 +3,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "4899d2ef",
+   "metadata": {},
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import censusdata\n",
@@ -29,28 +32,34 @@
     "# Some display settings to make pandas outputs more readable.\n",
     "pd.set_option(\"display.expand_frame_repr\", False)\n",
     "pd.set_option(\"display.precision\", 2)"
-   ],
-   "outputs": [],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "4dd8feec",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [],
    "source": [
     "# Following the tutorial at https://jtleider.github.io/censusdata/example1.html.\n",
     "# Full list of fields is at https://www2.census.gov/programs-surveys/acs/summary_file/2019/documentation/user_tools/ACS2019_Table_Shells.xlsx\n",
     "censusdata.printtable(\n",
-    "    censusdata.censustable(src=\"acs5\", year=ACS_YEAR, table=\"B19013\")\n",
-    ")"
-   ],
-   "outputs": [],
-   "metadata": {
-    "scrolled": true
-   }
+    "    censusdata.censustable(src=\"acs5\", year=ACS_YEAR, table=\"B25077\")\n",
+    ")\n",
+    "\n",
+    "# censusdata.search(src=\"acs5\", year=ACS_YEAR, field='label', criterion='Owner-occupied units!!Median')"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "7b40afd3",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
    "source": [
     "def fips_from_censusdata_censusgeo(censusgeo: censusdata.censusgeo) -> str:\n",
     "    \"\"\"Create a FIPS code from the proprietary censusgeo index.\"\"\"\n",
@@ -82,15 +91,16 @@
     ")\n",
     "\n",
     "df.head()"
-   ],
-   "outputs": [],
-   "metadata": {
-    "scrolled": true
-   }
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
+   "id": "caa0b502",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
    "source": [
     "columns_to_include = [\"GEOID2\", \"Median household income (State)\"]\n",
     "\n",
@@ -103,18 +113,15 @@
     ")\n",
     "\n",
     "# df[columns_to_include].to_csv(path_or_buf= \"/Users/lucas/Documents/usds/repos/justice40-tool/data/data-pipeline/data_pipeline/data/needs_to_be_moved_to_s3/2014_to_2019_state_median_income.csv\", index=False)"
-   ],
-   "outputs": [],
-   "metadata": {
-    "scrolled": true
-   }
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "source": [],
+   "id": "f2bddf6a",
+   "metadata": {},
    "outputs": [],
-   "metadata": {}
+   "source": []
   }
  ],
  "metadata": {
@@ -138,4 +145,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}