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Merge branch 'emma-nechamkin/release/score-narwhal' of github.com:usds/justice40-tool into emma-nechamkin/release/score-narwhal

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This commit is contained in:
Emma Nechamkin 2022-08-30 14:16:00 -04:00
commit 6e575c6110
20 changed files with 1428 additions and 31 deletions
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4
data/data-pipeline/data_pipeline/score/field_names.py
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@ -10,7 +10,9 @@ STATE_FIELD = "State/Territory"
COUNTY_FIELD = "County Name"
# Definition Narwhal fields
SCORE_N = "Definition N (communities)"
FINAL_SCORE_N_BOOLEAN = (
"Definition M community, including adjacency index tracts"
)
SCORE_N_COMMUNITIES = "Definition N (communities)"
N_CLIMATE = "Climate Factor (Definition N)"
N_ENERGY = "Energy Factor (Definition N)"

23
data/data-pipeline/data_pipeline/score/score_narwhal.py
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@ -14,20 +14,17 @@ logger = get_module_logger(__name__)
class ScoreNarwhal(Score):
"""Very similar to Score M, at present."""
def __init__(self, df: pd.DataFrame) -> None:
self.LOW_INCOME_THRESHOLD: float = 0.65
self.MAX_COLLEGE_ATTENDANCE_THRESHOLD: float = 0.20
self.ENVIRONMENTAL_BURDEN_THRESHOLD: float = 0.90
self.MEDIAN_HOUSE_VALUE_THRESHOLD: float = 0.90
self.LACK_OF_HIGH_SCHOOL_MINIMUM_THRESHOLD: float = 0.10
LOW_INCOME_THRESHOLD: float = 0.65
MAX_COLLEGE_ATTENDANCE_THRESHOLD: float = 0.20
ENVIRONMENTAL_BURDEN_THRESHOLD: float = 0.90
MEDIAN_HOUSE_VALUE_THRESHOLD: float = 0.90
LACK_OF_HIGH_SCHOOL_MINIMUM_THRESHOLD: float = 0.10
# We define a donut hole DAC as a tract that is entirely surrounded by
# DACs (score threshold = 1) and above median for low income, as a starting
# point. As we ground-truth, these thresholds might change.
self.LOW_INCOME_THRESHOLD_DONUT: float = 0.50
self.SCORE_THRESHOLD_DONUT: float = 1.00
super().__init__(df)
# We define a donut hole DAC as a tract that is entirely surrounded by
# DACs (score threshold = 1) and above median for low income, as a starting
# point. As we ground-truth, these thresholds might change.
LOW_INCOME_THRESHOLD_DONUT: float = 0.50
SCORE_THRESHOLD_DONUT: float = 1.00
def _combine_island_areas_with_states_and_set_thresholds(
self,