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[ISS-751] Updating comments for geocorr ETL (#913)
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@ -15,6 +15,12 @@ class GeoCorrETL(ExtractTransformLoad):
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self.OUTPUT_PATH = self.DATA_PATH / "dataset" / "geocorr"
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self.OUTPUT_PATH = self.DATA_PATH / "dataset" / "geocorr"
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# Need to change hyperlink to S3
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# Need to change hyperlink to S3
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# Note, that this CSV was generated by this notebook:
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# https://github.com/usds/justice40-tool/blob/main/data/data-pipeline/data_pipeline/ipython/urban_vs_rural.ipynb
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# The source data for this notebook was downloaded from GeoCorr;
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# the instructions for generating the source data is here:
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# https://github.com/usds/justice40-tool/issues/355#issuecomment-920241787
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self.GEOCORR_PLACES_URL = "https://justice40-data.s3.amazonaws.com/data-sources/geocorr_urban_rural.csv.zip"
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self.GEOCORR_PLACES_URL = "https://justice40-data.s3.amazonaws.com/data-sources/geocorr_urban_rural.csv.zip"
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self.GEOCORR_GEOID_FIELD_NAME = "GEOID10_TRACT"
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self.GEOCORR_GEOID_FIELD_NAME = "GEOID10_TRACT"
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self.URBAN_HEURISTIC_FIELD_NAME = "Urban Heuristic Flag"
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self.URBAN_HEURISTIC_FIELD_NAME = "Urban Heuristic Flag"
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@ -100,6 +100,8 @@
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"# CSV was manually generated\n",
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"# Instructions for how to generate the CSV from Geocorr are here: https://github.com/usds/justice40-tool/issues/355#issuecomment-920241787\n",
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"geocorr_urban_rural_map = pd.read_csv(\n",
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"geocorr_urban_rural_map = pd.read_csv(\n",
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" os.path.join(GEOCORR_DATA_DIR, \"geocorr2014_2125804280.csv\"),\n",
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" os.path.join(GEOCORR_DATA_DIR, \"geocorr2014_2125804280.csv\"),\n",
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" encoding=\"ISO-8859-1\",\n",
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" encoding=\"ISO-8859-1\",\n",
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