From a7cdf1c0213d04f24c6d1954dbf2824a69d41eb2 Mon Sep 17 00:00:00 2001
From: Nat Hillard <72811320+NatHillardUSDS@users.noreply.github.com>
Date: Wed, 21 Jul 2021 16:10:32 -0400
Subject: [PATCH] Adding notebook to create score dissolve (#333)

---
 .../ipython/Score_Dissolve_Script.ipynb       | 914 ++++++++++++++++++
 data/data-pipeline/poetry.lock                | 335 +++++--
 data/data-pipeline/pyproject.toml             |  11 +-
 3 files changed, 1184 insertions(+), 76 deletions(-)
 create mode 100644 data/data-pipeline/ipython/Score_Dissolve_Script.ipynb

diff --git a/data/data-pipeline/ipython/Score_Dissolve_Script.ipynb b/data/data-pipeline/ipython/Score_Dissolve_Script.ipynb
new file mode 100644
index 00000000..747796aa
--- /dev/null
+++ b/data/data-pipeline/ipython/Score_Dissolve_Script.ipynb
@@ -0,0 +1,914 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "import pandas as pd\n",
+    "import geopandas as gpd\n",
+    "import math\n",
+    "import pathlib\n",
+    "import os\n",
+    "import sys"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "module_path = os.path.abspath(os.path.join(\"..\"))\n",
+    "if module_path not in sys.path:\n",
+    "    sys.path.append(module_path)"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "def merge_and_simplify_file(file_name: str, usa_df: pd.DataFrame):\n",
+    "    state_gdf = gpd.read_file(file_name)\n",
+    "    state_repr = state_gdf.to_crs(\"+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs\")\n",
+    "    state_merged = state_repr.merge(usa_df, on=\"GEOID10\", how=\"left\")\n",
+    "    state_merged_simplified = state_merged[\n",
+    "        [\"GEOID10\", \"Score D (percentile)\", \"geometry\"]\n",
+    "    ].reset_index(drop=True)\n",
+    "    state_merged_simplified.rename(\n",
+    "        columns={\"Score D (percentile)\": \"D_SCORE\"}, inplace=True\n",
+    "    )\n",
+    "    return state_merged_simplified\n",
+    "\n",
+    "\n",
+    "def aggregate_to_tracts(block_group_df: pd.DataFrame):\n",
+    "    # The tract identifier is the first 11 digits of the GEOID\n",
+    "    block_group_df[\"tract\"] = block_group_df.apply(\n",
+    "        lambda row: row[\"GEOID10\"][0:11], axis=1\n",
+    "    )\n",
+    "    state_tracts = block_group_df.dissolve(by=\"tract\", aggfunc=\"mean\")\n",
+    "    return state_tracts\n",
+    "\n",
+    "\n",
+    "def create_buckets_from_tracts(state_tracts: pd.DataFrame, num_buckets: int):\n",
+    "    # assign tracts to buckets by D_SCORE\n",
+    "    state_tracts.sort_values(\"D_SCORE\", inplace=True)\n",
+    "    D_SCORE_bucket = []\n",
+    "    num_buckets = num_buckets\n",
+    "    bucket_size = math.ceil(len(state_tracts.index) / num_buckets)\n",
+    "    for i in range(len(state_tracts.index)):\n",
+    "        D_SCORE_bucket.extend([math.floor(i / bucket_size)])\n",
+    "    state_tracts[\"D_SCORE_bucket\"] = D_SCORE_bucket\n",
+    "    return state_tracts\n",
+    "\n",
+    "\n",
+    "def aggregate_buckets(state_tracts: pd.DataFrame, agg_func: str):\n",
+    "    # dissolve tracts by bucket\n",
+    "    state_attr = state_tracts[[\"D_SCORE\", \"D_SCORE_bucket\", \"geometry\"]].reset_index(\n",
+    "        drop=True\n",
+    "    )\n",
+    "    state_dissolve = state_attr.dissolve(by=\"D_SCORE_bucket\", aggfunc=agg_func)\n",
+    "    return state_dissolve\n",
+    "\n",
+    "\n",
+    "def breakup_multipolygons(state_bucketed_df: pd.DataFrame, num_buckets: int):\n",
+    "    compressed = []\n",
+    "    for i in range(num_buckets):\n",
+    "        for j in range(len(state_bucketed_df[\"geometry\"][i].geoms)):\n",
+    "            compressed.append(\n",
+    "                [\n",
+    "                    state_bucketed_df[\"D_SCORE\"][i],\n",
+    "                    state_bucketed_df[\"geometry\"][i].geoms[j],\n",
+    "                ]\n",
+    "            )\n",
+    "    return compressed\n",
+    "\n",
+    "\n",
+    "def write_to_file(compressed: pd.DataFrame, file_name: str):\n",
+    "    gdf_compressed = gpd.GeoDataFrame(\n",
+    "        compressed, columns=[\"D_SCORE\", \"geometry\"], crs=\"EPSG:4326\"\n",
+    "    )\n",
+    "    gdf_compressed.to_file(CENSUS_GEOJSON_DIR / f\"{file_name}_low.geojson\", driver=\"GeoJSON\")\n",
+    "\n",
+    "\n",
+    "def process_file(file_name: str, usa_df: pd.DataFrame, num_buckets:int):\n",
+    "    print(f\"Processing file {file_name}...\")\n",
+    "    state_merged_simplified = merge_and_simplify_file(file_name, usa_df)\n",
+    "    state_tracts = aggregate_to_tracts(state_merged_simplified)\n",
+    "    state_tracts = create_buckets_from_tracts(state_tracts, num_buckets)\n",
+    "    state_bucketed_df = aggregate_buckets(state_tracts, \"mean\")\n",
+    "    compressed = breakup_multipolygons(state_bucketed_df, num_buckets)\n",
+    "    write_to_file(compressed, file_name)"
+   ],
+   "outputs": [],
+   "metadata": {}
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "DATA_DIR = pathlib.Path.cwd().parent / \"data\"\n",
+    "CENSUS_GEOJSON_DIR = DATA_DIR / \"census\" / \"geojson\"\n",
+    "CEJST_DATA_PATH = DATA_DIR / \"score\" / \"csv\" / \"usa.csv\"\n",
+    "score_df = pd.read_csv(CEJST_DATA_PATH, dtype={\"GEOID10\": \"object\"})"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "Ia5bqxS2LJqe"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "master_df = gpd.GeoDataFrame()"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "Dtf5qD50JvCw"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "for file_name in CENSUS_GEOJSON_DIR.rglob('*.json'):\n",
+    "   state_gdf = gpd.read_file(file_name)\n",
+    "   master_df = master_df.append(state_gdf)"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "PNdw8bERJyKk"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "master_df = master_df.to_crs(\"+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs\")"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "B5SS9y2pLwks"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "master_df.shape"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(220742, 13)"
+      ]
+     },
+     "metadata": {
+      "tags": []
+     },
+     "execution_count": 68
+    }
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "_C6vaR9HQeLa",
+    "outputId": "fab3bc7f-e716-431e-bc76-bd26289ea4a4"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "master_df.head(2)"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "  STATEFP10  ...                                           geometry\n",
+       "0        01  ...  POLYGON ((-85.17240 31.82508, -85.17334 31.824...\n",
+       "1        01  ...  POLYGON ((-85.16283 31.81051, -85.16284 31.813...\n",
+       "\n",
+       "[2 rows x 13 columns]"
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>STATEFP10</th>\n",
+       "      <th>COUNTYFP10</th>\n",
+       "      <th>TRACTCE10</th>\n",
+       "      <th>BLKGRPCE10</th>\n",
+       "      <th>GEOID10</th>\n",
+       "      <th>NAMELSAD10</th>\n",
+       "      <th>MTFCC10</th>\n",
+       "      <th>FUNCSTAT10</th>\n",
+       "      <th>ALAND10</th>\n",
+       "      <th>AWATER10</th>\n",
+       "      <th>INTPTLAT10</th>\n",
+       "      <th>INTPTLON10</th>\n",
+       "      <th>geometry</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>01</td>\n",
+       "      <td>005</td>\n",
+       "      <td>950500</td>\n",
+       "      <td>2</td>\n",
+       "      <td>010059505002</td>\n",
+       "      <td>Block Group 2</td>\n",
+       "      <td>G5030</td>\n",
+       "      <td>S</td>\n",
+       "      <td>191306077</td>\n",
+       "      <td>605058</td>\n",
+       "      <td>+31.7728221</td>\n",
+       "      <td>-085.3325011</td>\n",
+       "      <td>POLYGON ((-85.17240 31.82508, -85.17334 31.824...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>01</td>\n",
+       "      <td>005</td>\n",
+       "      <td>950500</td>\n",
+       "      <td>1</td>\n",
+       "      <td>010059505001</td>\n",
+       "      <td>Block Group 1</td>\n",
+       "      <td>G5030</td>\n",
+       "      <td>S</td>\n",
+       "      <td>44574612</td>\n",
+       "      <td>8952734</td>\n",
+       "      <td>+31.7523221</td>\n",
+       "      <td>-085.2009470</td>\n",
+       "      <td>POLYGON ((-85.16283 31.81051, -85.16284 31.813...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ]
+     },
+     "metadata": {
+      "tags": []
+     },
+     "execution_count": 69
+    }
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "oMoubjqCQiw5",
+    "outputId": "6195ffbc-6275-40c6-bb6a-e0a6bd1e71f0"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_df = pd.read_csv(CEJST_DATA_PATH, dtype={\"GEOID10\": \"object\"})"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "bAMmGSgzVml0"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_merged = master_df.merge(usa_df, on=\"GEOID10\", how=\"left\")"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "U7M7dExdV2Vh"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_merged.head(2)"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "  STATEFP10 COUNTYFP10  ... Score E (percentile) Score E (top 25th percentile)\n",
+       "0        01        005  ...             0.576986                         False\n",
+       "1        01        005  ...             0.670349                         False\n",
+       "\n",
+       "[2 rows x 98 columns]"
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>STATEFP10</th>\n",
+       "      <th>COUNTYFP10</th>\n",
+       "      <th>TRACTCE10</th>\n",
+       "      <th>BLKGRPCE10</th>\n",
+       "      <th>GEOID10</th>\n",
+       "      <th>NAMELSAD10</th>\n",
+       "      <th>MTFCC10</th>\n",
+       "      <th>FUNCSTAT10</th>\n",
+       "      <th>ALAND10</th>\n",
+       "      <th>AWATER10</th>\n",
+       "      <th>INTPTLAT10</th>\n",
+       "      <th>INTPTLON10</th>\n",
+       "      <th>geometry</th>\n",
+       "      <th>Housing burden (percent)</th>\n",
+       "      <th>Total population</th>\n",
+       "      <th>Air toxics cancer risk</th>\n",
+       "      <th>Respiratory hazard index</th>\n",
+       "      <th>Diesel particulate matter</th>\n",
+       "      <th>Particulate matter (PM2.5)</th>\n",
+       "      <th>Ozone</th>\n",
+       "      <th>Traffic proximity and volume</th>\n",
+       "      <th>Proximity to RMP sites</th>\n",
+       "      <th>Proximity to TSDF sites</th>\n",
+       "      <th>Proximity to NPL sites</th>\n",
+       "      <th>Wastewater discharge</th>\n",
+       "      <th>Percent pre-1960s housing (lead paint indicator)</th>\n",
+       "      <th>Individuals under 5 years old</th>\n",
+       "      <th>Individuals over 64 years old</th>\n",
+       "      <th>Linguistic isolation (percent)</th>\n",
+       "      <th>Percent of households in linguistic isolation</th>\n",
+       "      <th>Poverty (Less than 200% of federal poverty line)</th>\n",
+       "      <th>Percent individuals age 25 or over with less than high school degree</th>\n",
+       "      <th>Unemployed civilians (percent)</th>\n",
+       "      <th>Housing + Transportation Costs % Income for the Regional Typical Household</th>\n",
+       "      <th>GEOID10 (percentile)</th>\n",
+       "      <th>Housing burden (percent) (percentile)</th>\n",
+       "      <th>Total population (percentile)</th>\n",
+       "      <th>Air toxics cancer risk (percentile)</th>\n",
+       "      <th>Respiratory hazard index (percentile)</th>\n",
+       "      <th>Diesel particulate matter (percentile)</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Air toxics cancer risk (min-max normalized)</th>\n",
+       "      <th>Respiratory hazard index (min-max normalized)</th>\n",
+       "      <th>Diesel particulate matter (min-max normalized)</th>\n",
+       "      <th>Particulate matter (PM2.5) (min-max normalized)</th>\n",
+       "      <th>Ozone (min-max normalized)</th>\n",
+       "      <th>Traffic proximity and volume (min-max normalized)</th>\n",
+       "      <th>Proximity to RMP sites (min-max normalized)</th>\n",
+       "      <th>Proximity to TSDF sites (min-max normalized)</th>\n",
+       "      <th>Proximity to NPL sites (min-max normalized)</th>\n",
+       "      <th>Wastewater discharge (min-max normalized)</th>\n",
+       "      <th>Percent pre-1960s housing (lead paint indicator) (min-max normalized)</th>\n",
+       "      <th>Individuals under 5 years old (min-max normalized)</th>\n",
+       "      <th>Individuals over 64 years old (min-max normalized)</th>\n",
+       "      <th>Linguistic isolation (percent) (min-max normalized)</th>\n",
+       "      <th>Percent of households in linguistic isolation (min-max normalized)</th>\n",
+       "      <th>Poverty (Less than 200% of federal poverty line) (min-max normalized)</th>\n",
+       "      <th>Percent individuals age 25 or over with less than high school degree (min-max normalized)</th>\n",
+       "      <th>Unemployed civilians (percent) (min-max normalized)</th>\n",
+       "      <th>Housing + Transportation Costs % Income for the Regional Typical Household (min-max normalized)</th>\n",
+       "      <th>Score A</th>\n",
+       "      <th>Score B</th>\n",
+       "      <th>Socioeconomic Factors</th>\n",
+       "      <th>Sensitive populations</th>\n",
+       "      <th>Environmental effects</th>\n",
+       "      <th>Exposures</th>\n",
+       "      <th>Pollution Burden</th>\n",
+       "      <th>Population Characteristics</th>\n",
+       "      <th>Score C</th>\n",
+       "      <th>Score D</th>\n",
+       "      <th>Score E</th>\n",
+       "      <th>Score A (percentile)</th>\n",
+       "      <th>Score A (top 25th percentile)</th>\n",
+       "      <th>Score B (percentile)</th>\n",
+       "      <th>Score B (top 25th percentile)</th>\n",
+       "      <th>Score C (percentile)</th>\n",
+       "      <th>Score C (top 25th percentile)</th>\n",
+       "      <th>Score D (percentile)</th>\n",
+       "      <th>Score D (top 25th percentile)</th>\n",
+       "      <th>Score E (percentile)</th>\n",
+       "      <th>Score E (top 25th percentile)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>01</td>\n",
+       "      <td>005</td>\n",
+       "      <td>950500</td>\n",
+       "      <td>2</td>\n",
+       "      <td>010059505002</td>\n",
+       "      <td>Block Group 2</td>\n",
+       "      <td>G5030</td>\n",
+       "      <td>S</td>\n",
+       "      <td>191306077</td>\n",
+       "      <td>605058</td>\n",
+       "      <td>+31.7728221</td>\n",
+       "      <td>-085.3325011</td>\n",
+       "      <td>POLYGON ((-85.17240 31.82508, -85.17334 31.824...</td>\n",
+       "      <td>0.176565</td>\n",
+       "      <td>923.0</td>\n",
+       "      <td>44.636463</td>\n",
+       "      <td>0.784089</td>\n",
+       "      <td>0.121767</td>\n",
+       "      <td>9.536056</td>\n",
+       "      <td>34.660008</td>\n",
+       "      <td>0.880242</td>\n",
+       "      <td>0.295180</td>\n",
+       "      <td>0.023752</td>\n",
+       "      <td>0.019262</td>\n",
+       "      <td>0.050677</td>\n",
+       "      <td>0.20177</td>\n",
+       "      <td>0.047671</td>\n",
+       "      <td>0.286024</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.276273</td>\n",
+       "      <td>0.181102</td>\n",
+       "      <td>0.159836</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>0.000631</td>\n",
+       "      <td>0.25485</td>\n",
+       "      <td>0.272930</td>\n",
+       "      <td>0.944257</td>\n",
+       "      <td>0.982043</td>\n",
+       "      <td>0.082062</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.025691</td>\n",
+       "      <td>0.181789</td>\n",
+       "      <td>0.020039</td>\n",
+       "      <td>0.444097</td>\n",
+       "      <td>0.190363</td>\n",
+       "      <td>0.000023</td>\n",
+       "      <td>0.016043</td>\n",
+       "      <td>0.000054</td>\n",
+       "      <td>0.002143</td>\n",
+       "      <td>1.179715e-07</td>\n",
+       "      <td>0.20177</td>\n",
+       "      <td>0.090801</td>\n",
+       "      <td>0.286024</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.276273</td>\n",
+       "      <td>0.181102</td>\n",
+       "      <td>0.159836</td>\n",
+       "      <td>0.322034</td>\n",
+       "      <td>0.597295</td>\n",
+       "      <td>0.335222</td>\n",
+       "      <td>0.638895</td>\n",
+       "      <td>0.535636</td>\n",
+       "      <td>0.381877</td>\n",
+       "      <td>0.494252</td>\n",
+       "      <td>0.456794</td>\n",
+       "      <td>0.587265</td>\n",
+       "      <td>0.268259</td>\n",
+       "      <td>0.149124</td>\n",
+       "      <td>0.529853</td>\n",
+       "      <td>0.617238</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.61452</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.615988</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.565349</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.576986</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>01</td>\n",
+       "      <td>005</td>\n",
+       "      <td>950500</td>\n",
+       "      <td>1</td>\n",
+       "      <td>010059505001</td>\n",
+       "      <td>Block Group 1</td>\n",
+       "      <td>G5030</td>\n",
+       "      <td>S</td>\n",
+       "      <td>44574612</td>\n",
+       "      <td>8952734</td>\n",
+       "      <td>+31.7523221</td>\n",
+       "      <td>-085.2009470</td>\n",
+       "      <td>POLYGON ((-85.16283 31.81051, -85.16284 31.813...</td>\n",
+       "      <td>0.176565</td>\n",
+       "      <td>818.0</td>\n",
+       "      <td>44.636463</td>\n",
+       "      <td>0.784089</td>\n",
+       "      <td>0.121767</td>\n",
+       "      <td>9.536056</td>\n",
+       "      <td>34.660008</td>\n",
+       "      <td>60.055410</td>\n",
+       "      <td>0.232153</td>\n",
+       "      <td>0.027767</td>\n",
+       "      <td>0.018079</td>\n",
+       "      <td>0.007115</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.007335</td>\n",
+       "      <td>0.264059</td>\n",
+       "      <td>0.039261</td>\n",
+       "      <td>0.038369</td>\n",
+       "      <td>0.391198</td>\n",
+       "      <td>0.186147</td>\n",
+       "      <td>0.053125</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>0.000626</td>\n",
+       "      <td>0.25485</td>\n",
+       "      <td>0.200764</td>\n",
+       "      <td>0.944257</td>\n",
+       "      <td>0.982043</td>\n",
+       "      <td>0.082062</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.025691</td>\n",
+       "      <td>0.181789</td>\n",
+       "      <td>0.020039</td>\n",
+       "      <td>0.444097</td>\n",
+       "      <td>0.190363</td>\n",
+       "      <td>0.001598</td>\n",
+       "      <td>0.012618</td>\n",
+       "      <td>0.000063</td>\n",
+       "      <td>0.002011</td>\n",
+       "      <td>1.656256e-08</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.013971</td>\n",
+       "      <td>0.264059</td>\n",
+       "      <td>0.039261</td>\n",
+       "      <td>0.038369</td>\n",
+       "      <td>0.391198</td>\n",
+       "      <td>0.186147</td>\n",
+       "      <td>0.053125</td>\n",
+       "      <td>0.412429</td>\n",
+       "      <td>0.693861</td>\n",
+       "      <td>0.477826</td>\n",
+       "      <td>0.728309</td>\n",
+       "      <td>0.557538</td>\n",
+       "      <td>0.264424</td>\n",
+       "      <td>0.530404</td>\n",
+       "      <td>0.441744</td>\n",
+       "      <td>0.642924</td>\n",
+       "      <td>0.284008</td>\n",
+       "      <td>0.159628</td>\n",
+       "      <td>0.589397</td>\n",
+       "      <td>0.723269</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.73044</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.661758</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.608434</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.670349</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2 rows × 98 columns</p>\n",
+       "</div>"
+      ]
+     },
+     "metadata": {
+      "tags": []
+     },
+     "execution_count": 72
+    }
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "Sr25DUkxWVhg",
+    "outputId": "1e804075-0f7d-4174-82d7-e21b8519c8bf"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_merged_compressed = gpd.GeoDataFrame(usa_merged, crs=\"EPSG:4326\")"
+   ],
+   "outputs": [],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "ANMlAB8Qmtu8",
+    "outputId": "44934741-90a9-4664-fab5-2c39b348d2be"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_merged_compressed.to_file(CENSUS_GEOJSON_DIR / \"usa_merged.geojson\", driver=\"GeoJSON\")"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "PBPD9LQctvPJ"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_simplified = usa_merged[\n",
+    "        [\"GEOID10\", \"Score D (percentile)\", \"geometry\"]\n",
+    "    ].reset_index(drop=True)"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "qAAEr1z-WZAT"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_simplified.rename(\n",
+    "        columns={\"Score D (percentile)\": \"D_SCORE\"}, inplace=True\n",
+    "    )"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "SCNUjEbzWg-o"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_cbg_compressed = gpd.GeoDataFrame(\n",
+    "        usa_simplified, columns=[\"D_SCORE\", \"geometry\"], crs=\"EPSG:4326\"\n",
+    "    )"
+   ],
+   "outputs": [],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "Ej70uX0AmW0J",
+    "outputId": "88908f5e-b62d-494f-f0ea-649089b6652a"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_cbg_compressed.to_file(CENSUS_GEOJSON_DIR / \"usa_cbg_scoreD.geojson\", driver=\"GeoJSON\")"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "UE12dWmame3I"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_tracts = aggregate_to_tracts(usa_simplified)"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "wWFBduQQXGtM"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "source": [
+    "num_buckets = 10"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "L-PTnEWOpDtX"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "tracts_compressed = gpd.GeoDataFrame(\n",
+    "        usa_tracts, columns=[\"D_SCORE\", \"geometry\"], crs=\"EPSG:4326\"\n",
+    "    )"
+   ],
+   "outputs": [],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "kTJafXcqXC01",
+    "outputId": "bd197952-76b7-4f99-edef-983f20d7acfb"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "tracts_compressed.to_file(CENSUS_GEOJSON_DIR / \"usa_tracts_score.geojson\", driver=\"GeoJSON\")"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "E2Nh97IlYhCF"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_bucketed = create_buckets_from_tracts(usa_tracts)"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "557zPMWFZC8R"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "usa_aggregated = aggregate_buckets(usa_bucketed, agg_func=\"mean\")"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "k6RRdKlsaO0a"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "source": [
+    "usa_aggregated.shape"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(10, 2)"
+      ]
+     },
+     "metadata": {
+      "tags": []
+     },
+     "execution_count": 80
+    }
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "-cm5eET2pA1Z",
+    "outputId": "8d5d2e80-ad62-41d5-f1b0-922345f92d62"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "compressed = breakup_multipolygons(usa_aggregated, num_buckets)"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "4ZvJra-RaZ4v"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "len(compressed)"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "36836"
+      ]
+     },
+     "metadata": {
+      "tags": []
+     },
+     "execution_count": 82
+    }
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "RDS7Q2WAb4Rx",
+    "outputId": "dcd28a31-083d-482e-b000-b4cd1046d4c2"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "gdf_compressed = gpd.GeoDataFrame(\n",
+    "        compressed, columns=[\"D_SCORE\", \"geometry\"], crs=\"EPSG:4326\"\n",
+    "    )"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "VXTv8UuXb-qU"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "gdf_compressed.shape"
+   ],
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "(36836, 2)"
+      ]
+     },
+     "metadata": {
+      "tags": []
+     },
+     "execution_count": 84
+    }
+   ],
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "5v7TyB_rcRgT",
+    "outputId": "997625cc-c57a-4335-9b27-a08e4f8ad117"
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "source": [
+    "gdf_compressed.to_file(CENSUS_GEOJSON_DIR / f\"usa_low.geojson\", driver=\"GeoJSON\")"
+   ],
+   "outputs": [],
+   "metadata": {
+    "id": "5eAnPL8McJpn"
+   }
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "name": "Score_Dissolve_Script",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3.9.5  ('.venv': venv)",
+   "language": "python",
+   "name": "python395jvsc74a57bd0935cbd69f49565f763db1e6a6adc70b468d078eb4d5856e64428cea33b57a041"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
\ No newline at end of file
diff --git a/data/data-pipeline/poetry.lock b/data/data-pipeline/poetry.lock
index 6b12b2e3..a9d22bff 100644
--- a/data/data-pipeline/poetry.lock
+++ b/data/data-pipeline/poetry.lock
@@ -63,7 +63,7 @@ python-versions = "*"
 
 [[package]]
 name = "black"
-version = "21.6b0"
+version = "21.7b0"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
@@ -75,7 +75,7 @@ click = ">=7.1.2"
 mypy-extensions = ">=0.4.3"
 pathspec = ">=0.8.1,<1"
 regex = ">=2020.1.8"
-toml = ">=0.10.1"
+tomli = ">=0.2.6,<2.0.0"
 typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\""}
 typing-extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""}
 
@@ -87,7 +87,7 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "bleach"
-version = "3.3.0"
+version = "3.3.1"
 description = "An easy safelist-based HTML-sanitizing tool."
 category = "main"
 optional = false
@@ -130,12 +130,15 @@ python-versions = "*"
 pycparser = "*"
 
 [[package]]
-name = "chardet"
-version = "4.0.0"
-description = "Universal encoding detector for Python 2 and 3"
+name = "charset-normalizer"
+version = "2.0.3"
+description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.5.0"
+
+[package.extras]
+unicode_backport = ["unicodedata2"]
 
 [[package]]
 name = "click"
@@ -149,6 +152,34 @@ python-versions = ">=3.6"
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 
+[[package]]
+name = "click-plugins"
+version = "1.1.1"
+description = "An extension module for click to enable registering CLI commands via setuptools entry-points."
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+click = ">=4.0"
+
+[package.extras]
+dev = ["pytest (>=3.6)", "pytest-cov", "wheel", "coveralls"]
+
+[[package]]
+name = "cligj"
+version = "0.7.2"
+description = "Click params for commmand line interfaces to GeoJSON"
+category = "main"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4"
+
+[package.dependencies]
+click = ">=4.0"
+
+[package.extras]
+test = ["pytest-cov"]
+
 [[package]]
 name = "colorama"
 version = "0.4.4"
@@ -206,13 +237,50 @@ category = "main"
 optional = false
 python-versions = ">=2.7"
 
+[[package]]
+name = "fiona"
+version = "1.8.20"
+description = "Fiona reads and writes spatial data files"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+attrs = ">=17"
+certifi = "*"
+click = ">=4.0"
+click-plugins = ">=1.0"
+cligj = ">=0.5"
+munch = "*"
+six = ">=1.7"
+
+[package.extras]
+all = ["pytest (>=3)", "boto3 (>=1.2.4)", "pytest-cov", "shapely", "mock"]
+calc = ["shapely"]
+s3 = ["boto3 (>=1.2.4)"]
+test = ["pytest (>=3)", "pytest-cov", "boto3 (>=1.2.4)", "mock"]
+
+[[package]]
+name = "geopandas"
+version = "0.9.0"
+description = "Geographic pandas extensions"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+fiona = ">=1.8"
+pandas = ">=0.24.0"
+pyproj = ">=2.2.0"
+shapely = ">=1.6"
+
 [[package]]
 name = "idna"
-version = "2.10"
+version = "3.2"
 description = "Internationalized Domain Names in Applications (IDNA)"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.5"
 
 [[package]]
 name = "importlib-metadata"
@@ -232,20 +300,21 @@ testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytes
 
 [[package]]
 name = "ipykernel"
-version = "6.0.1"
+version = "6.0.3"
 description = "IPython Kernel for Jupyter"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.dependencies]
-debugpy = ">=1.0.0"
+appnope = {version = "*", markers = "platform_system == \"Darwin\""}
+debugpy = ">=1.0.0,<2.0"
 importlib-metadata = {version = "<4", markers = "python_version < \"3.8.0\""}
-ipython = ">=7.23.1"
-jupyter-client = "*"
-matplotlib-inline = {version = ">=0.1.0,<0.2.0appnope", markers = "platform_system == \"Darwin\""}
-tornado = ">=4.2"
-traitlets = ">=4.1.0"
+ipython = ">=7.23.1,<8.0"
+jupyter-client = "<7.0"
+matplotlib-inline = ">=0.1.0,<0.2.0"
+tornado = ">=4.2,<7.0"
+traitlets = ">=4.1.0,<6.0"
 
 [package.extras]
 test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "ipyparallel"]
@@ -566,6 +635,21 @@ category = "main"
 optional = false
 python-versions = "*"
 
+[[package]]
+name = "munch"
+version = "2.5.0"
+description = "A dot-accessible dictionary (a la JavaScript objects)"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.dependencies]
+six = "*"
+
+[package.extras]
+testing = ["pytest", "coverage", "astroid (>=1.5.3,<1.6.0)", "pylint (>=1.7.2,<1.8.0)", "astroid (>=2.0)", "pylint (>=2.3.1,<2.4.0)"]
+yaml = ["PyYAML (>=5.1.0)"]
+
 [[package]]
 name = "mypy"
 version = "0.910"
@@ -699,7 +783,7 @@ test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "re
 
 [[package]]
 name = "numpy"
-version = "1.21.0"
+version = "1.21.1"
 description = "NumPy is the fundamental package for array computing with Python."
 category = "main"
 optional = false
@@ -754,11 +838,11 @@ testing = ["docopt", "pytest (<6.0.0)"]
 
 [[package]]
 name = "pathspec"
-version = "0.8.1"
+version = "0.9.0"
 description = "Utility library for gitignore style pattern matching of file paths."
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 
 [[package]]
 name = "pexpect"
@@ -841,6 +925,17 @@ category = "main"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
+[[package]]
+name = "pyproj"
+version = "3.1.0"
+description = "Python interface to PROJ (cartographic projections and coordinate transformations library)"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+certifi = "*"
+
 [[package]]
 name = "pyrsistent"
 version = "0.18.0"
@@ -851,7 +946,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "python-dateutil"
-version = "2.8.1"
+version = "2.8.2"
 description = "Extensions to the standard Python datetime module"
 category = "main"
 optional = false
@@ -944,21 +1039,21 @@ python-versions = "*"
 
 [[package]]
 name = "requests"
-version = "2.25.1"
+version = "2.26.0"
 description = "Python HTTP for Humans."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 
 [package.dependencies]
 certifi = ">=2017.4.17"
-chardet = ">=3.0.2,<5"
-idna = ">=2.5,<3"
+charset-normalizer = {version = ">=2.0.0,<2.1.0", markers = "python_version >= \"3\""}
+idna = {version = ">=2.5,<4", markers = "python_version >= \"3\""}
 urllib3 = ">=1.21.1,<1.27"
 
 [package.extras]
-security = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)"]
 socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
+use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
 
 [[package]]
 name = "send2trash"
@@ -971,6 +1066,19 @@ python-versions = "*"
 [package.extras]
 win32 = ["pywin32"]
 
+[[package]]
+name = "shapely"
+version = "1.7.1"
+description = "Geometric objects, predicates, and operations"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.extras]
+all = ["numpy", "pytest", "pytest-cov"]
+test = ["pytest", "pytest-cov"]
+vectorized = ["numpy"]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -1014,6 +1122,14 @@ category = "dev"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
+[[package]]
+name = "tomli"
+version = "1.0.4"
+description = "A lil' TOML parser"
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "tornado"
 version = "6.1"
@@ -1115,7 +1231,7 @@ testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytes
 [metadata]
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 python-versions = "^3.7.1"
-content-hash = "52ad5ba35e7d93fa44ce1b0040073618f990a30bdd90b8828e7b3270bbaf8385"
+content-hash = "406b3a54060fb9905fca2ad0109ec916313f66a3c4f2bf79297877c521ce1820"
 
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@@ -1219,14 +1335,22 @@ cffi = [
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@@ -1526,34 +1669,34 @@ notebook = [
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@@ -1588,8 +1731,8 @@ parso = [
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 ]
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@@ -1627,6 +1770,27 @@ pyparsing = [
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 ]
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+    {file = "pyproj-3.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:808f5992320e9631b2e45444028a65cd6ba3ee40229292934178ef07020a5ffd"},
+    {file = "pyproj-3.1.0.tar.gz", hash = "sha256:67b94f4e694ae33fc90dfb7da0e6b5ed5f671dd0acc2f6cf46e9c39d56e16e1a"},
+]
 pyrsistent = [
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@@ -1651,8 +1815,8 @@ pyrsistent = [
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 ]
 python-dateutil = [
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-    {file = "python_dateutil-2.8.1-py2.py3-none-any.whl", hash = "sha256:75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a"},
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
 ]
 pytz = [
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@@ -1794,13 +1958,38 @@ regex = [
     {file = "regex-2021.7.6.tar.gz", hash = "sha256:8394e266005f2d8c6f0bc6780001f7afa3ef81a7a2111fa35058ded6fce79e4d"},
 ]
 requests = [
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+    {file = "requests-2.26.0-py2.py3-none-any.whl", hash = "sha256:6c1246513ecd5ecd4528a0906f910e8f0f9c6b8ec72030dc9fd154dc1a6efd24"},
+    {file = "requests-2.26.0.tar.gz", hash = "sha256:b8aa58f8cf793ffd8782d3d8cb19e66ef36f7aba4353eec859e74678b01b07a7"},
 ]
 send2trash = [
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 ]
+shapely = [
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+    {file = "Shapely-1.7.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:b40cc7bb089ae4aa9ddba1db900b4cd1bce3925d2a4b5837b639e49de054784f"},
+    {file = "Shapely-1.7.1-cp39-cp39-win32.whl", hash = "sha256:2df5260d0f2983309776cb41bfa85c464ec07018d88c0ecfca23d40bfadae2f1"},
+    {file = "Shapely-1.7.1-cp39-cp39-win_amd64.whl", hash = "sha256:a5c3a50d823c192f32615a2a6920e8c046b09e07a58eba220407335a9cd2e8ea"},
+    {file = "Shapely-1.7.1.tar.gz", hash = "sha256:1641724c1055459a7e2b8bbe47ba25bdc89554582e62aec23cb3f3ca25f9b129"},
+]
 six = [
     {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
     {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
@@ -1817,6 +2006,10 @@ toml = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
 ]
+tomli = [
+    {file = "tomli-1.0.4-py3-none-any.whl", hash = "sha256:0713b16ff91df8638a6a694e295c8159ab35ba93e3424a626dd5226d386057be"},
+    {file = "tomli-1.0.4.tar.gz", hash = "sha256:be670d0d8d7570fd0ea0113bd7bb1ba3ac6706b4de062cc4c952769355c9c268"},
+]
 tornado = [
     {file = "tornado-6.1-cp35-cp35m-macosx_10_9_x86_64.whl", hash = "sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32"},
     {file = "tornado-6.1-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:0d321a39c36e5f2c4ff12b4ed58d41390460f798422c4504e09eb5678e09998c"},
diff --git a/data/data-pipeline/pyproject.toml b/data/data-pipeline/pyproject.toml
index 63a3cf53..df376907 100644
--- a/data/data-pipeline/pyproject.toml
+++ b/data/data-pipeline/pyproject.toml
@@ -1,26 +1,27 @@
 [tool.poetry]
+authors = ["Your Name <you@example.com>"]
+description = "ETL and Generation of Justice 40 Score"
 name = "score"
 version = "0.1.0"
-description = "ETL and Generation of Justice 40 Score"
-authors = ["Your Name <you@example.com>"]
 
 [tool.poetry.dependencies]
-python = "^3.7.1"
 CensusData = "^1.13"
 click = "^8.0.1"
 dynaconf = "^3.1.4"
+geopandas = "^0.9.0"
 ipython = "^7.24.1"
 jupyter = "^1.0.0"
 jupyter-contrib-nbextensions = "^0.5.1"
 numpy = "^1.21.0"
 pandas = "^1.2.5"
+python = "^3.7.1"
 requests = "^2.25.1"
 types-requests = "^2.25.0"
 
 [tool.poetry.dev-dependencies]
-mypy = "^0.910"
 black = {version = "^21.6b0", allow-prereleases = true}
+mypy = "^0.910"
 
 [build-system]
-requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
+requires = ["poetry-core>=1.0.0"]