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details on ranked percentiles

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This commit is contained in:
Saran Ahluwalia 2022-01-01 14:49:43 -05:00
commit c1e35fb2f5
2 changed files with 8 additions and 6 deletions
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9
data/data-pipeline/data_pipeline/etl/sources/maryland_ejscreen/etl.py
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@ -92,14 +92,13 @@ class MarylandEJScreenETL(ExtractTransformLoad):
inplace=True,
)
# Interpretation: An EJ score (reported as a percentile)
# has a percentile rank of N for some N between 0 - 100"
self.df[field_names.MARYLAND_EJSCREEN_PERCENTILE_FIELD] = self.df[
field_names.MARYLAND_EJSCREEN_SCORE_FIELD
].rank(
pct=True,
ascending=True
)
].rank(pct=True, ascending=True)
# An arbitrarily chosen percentile is used in the comparison tool output
# An arbitrarily chosen threshold is used in the comparison tool output
self.df[field_names.MARYLAND_EJSCREEN_BURDENED_THRESHOLD_FIELD] = (
self.df[field_names.MARYLAND_EJSCREEN_PERCENTILE_FIELD] > 0.75
)