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TylerMatteoTylerMatteo
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Update jupyter notebook for building pff choropleths and update choropleths data source with 2020 acs data (#287)
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Lines changed: 235 additions & 227 deletions

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‎data/etl/build_choropleths.ipynb‎

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},
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{
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"cell_type": "code",
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"execution_count": 60,
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"execution_count": 20,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Importing libraries. Note you will also need to have fiona installed as geopandas relies on it for writing to geojson\n",
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"import pandas as pd\n",
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"import geopandas as gp\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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{
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" 'hsp1p': 'hsp1p_2020'}"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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},
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},
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"cell_type": "code",
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},
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"cell_type": "code",
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" _pop65pl1.pop65pl1\n",
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"FROM (\n",
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" SELECT geoid, estimate as popu181\n",
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" FROM acs.\"2019\"\n",
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" FROM acs.\"2020\"\n",
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" WHERE geotype LIKE 'NTA%'\n",
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" AND variable = 'popu181'\n",
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") _popu181\n",
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"LEFT JOIN (\n",
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" SELECT geoid, estimate as mdgr\n",
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" FROM acs.\"2019\"\n",
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" FROM acs.\"2020\"\n",
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" WHERE geotype LIKE 'NTA%'\n",
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" AND variable = 'mdgr'\n",
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") _mdgr ON _popu181.geoid = _mdgr.geoid\n",
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"LEFT JOIN (\n",
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" SELECT geoid, estimate as pbwpv, percent as pbwpv_p\n",
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" FROM acs.\"2019\"\n",
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" FROM acs.\"2020\"\n",
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" WHERE geotype LIKE 'NTA%'\n",
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" AND variable = 'pbwpv'\n",
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") _pbwpv ON _popu181.geoid = _pbwpv.geoid\n",
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"LEFT JOIN (\n",
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" SELECT geoid, estimate as lgoenlep1\n",
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" FROM acs.\"2019\"\n",
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" FROM acs.\"2020\"\n",
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" WHERE geotype LIKE 'NTA%'\n",
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" AND variable = 'lgoenlep1'\n",
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") _lgoenlep1 ON _popu181.geoid = _lgoenlep1.geoid\n",
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"LEFT JOIN (\n",
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" SELECT geoid, percent as fb1_p\n",
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" FROM acs.\"2019\"\n",
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" FROM acs.\"2020\"\n",
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" WHERE geotype LIKE 'NTA%'\n",
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" AND variable = 'fb1'\n",
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") _fb1 ON _popu181.geoid = _fb1.geoid\n",
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"LEFT JOIN (\n",
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" SELECT geoid, estimate as ea_bchdh, percent as ea_bchdh_p\n",
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" FROM acs.\"2019\"\n",
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" FROM acs.\"2020\"\n",
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" WHERE geotype LIKE 'NTA%'\n",
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" AND variable = 'ea_bchdh'\n",
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") _ea_bchdh ON _popu181.geoid = _ea_bchdh.geoid\n",
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"LEFT JOIN (\n",
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" SELECT geoid, estimate as pop65pl1\n",
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" FROM acs.\"2019\"\n",
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" FROM acs.\"2020\"\n",
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" WHERE geotype LIKE 'NTA%'\n",
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" AND variable = 'pop65pl1'\n",
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") _pop65pl1 ON _popu181.geoid = _pop65pl1.geoid\n",
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},
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"cell_type": "code",
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},
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Export fully formed geojson to json file. The contents of this file can be copie and pasted into the `data`\n",
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"# Export fully formed geojson to json file. The contents of this file can be copied and pasted into the `data`\n",
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"# property of the json found in `/data/sources`\n",
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"cleaned_ntas.to_file('ntas.json', driver=\"GeoJSON\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"interpreter": {
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"hash": "a5f03556caa2215ab11d9a0961a00401103cfc6c312c18edffc99ca8b891cf5b"
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"hash": "394c62ab563a469ed0fc70e322f10c53ee4992e994668222c9e8a883c64e5e69"
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},
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "Python 3.7.10 64-bit ('3.7.10')",
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"language": "python",
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"name": "python3"
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},

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