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fixing merge conflicts

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lucasmbrown-usds 2022-09-30 13:43:31 -04:00
commit 07c4c030d3
266 changed files with 1868 additions and 1811 deletions
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66
data/data-pipeline/data_pipeline/content/config/csv.yml
View file

@ -386,6 +386,72 @@ fields:
- score_name: Greater than or equal to the 90th percentile for low median household income as a percent of area median income and has low HS education in 2009 (island areas)?
label: Greater than or equal to the 90th percentile for low median household income as a percent of area median income and has low HS education in 2009 (island areas)?
format: bool
- score_name: Share of properties at risk of flood in 30 years
label: Share of properties at risk of flood in 30 years
format: percentage
- score_name: Share of properties at risk of fire in 30 years
label: Share of properties at risk of fire in 30 years
format: percentage
- score_name: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years and is low income?
label: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years and is low income?
format: bool
- score_name: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years and is low income?
label: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years and is low income?
format: bool
- score_name: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years
label: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years
format: bool
- score_name: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years
label: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years
format: bool
- score_name: Greater than or equal to the 90th percentile for share of the tract's land area that is covered by impervious surface or cropland as a percent and is low income?
label: Greater than or equal to the 90th percentile for share of the tract's land area that is covered by impervious surface or cropland as a percent and is low income?
format: bool
- score_name: Greater than or equal to the 90th percentile for share of the tract's land area that is covered by impervious surface or cropland as a percent
label: Greater than or equal to the 90th percentile for share of the tract's land area that is covered by impervious surface or cropland as a percent
format: bool
- score_name: Share of the tract's land area that is covered by impervious surface or cropland as a percent
label: Share of the tract's land area that is covered by impervious surface or cropland as a percent
format: percentage
- score_name: Share of the tract's land area that is covered by impervious surface or cropland as a percent (percentile)
label: Share of the tract's land area that is covered by impervious surface or cropland as a percent (percentile)
format: percentage
- score_name: Share of properties at risk of flood in 30 years (percentile)
label: Share of properties at risk of flood in 30 years (percentile)
format: percentage
- score_name: Share of properties at risk of fire in 30 years (percentile)
label: Share of properties at risk of fire in 30 years (percentile)
format: percentage
- score_name: Does the tract have at least 35 acres in it?
label: Does the tract have at least 35 acres in it?
format: bool
- score_name: Is there at least one Formerly Used Defense Site (FUDS) in the tract?
label: Is there at least one Formerly Used Defense Site (FUDS) in the tract?
format: bool
- score_name: Is there at least one abandoned mine in this census tract?
label: Is there at least one abandoned mine in this census tract?
format: bool
- score_name: Is there at least one Formerly Used Defense Site (FUDS) in the tract, where missing data is treated as False?
label: Is there at least one Formerly Used Defense Site (FUDS) in the tract, where missing data is treated as False?
format: bool
- score_name: Is there at least one abandoned mine in this census tract, where missing data is treated as False?
label: Is there at least one abandoned mine in this census tract, where missing data is treated as False?
format: bool
- score_name: There is at least one abandoned mine in this census tract and the tract is low income.
label: There is at least one abandoned mine in this census tract and the tract is low income.
format: bool
- score_name: There is at least one Formerly Used Defense Site (FUDS) in the tract and the tract is low income.
label: There is at least one Formerly Used Defense Site (FUDS) in the tract and the tract is low income.
format: bool
- score_name: Tract-level redlining score meets or exceeds 3.25 and is low income
label: Tract experienced historic underinvestment and remains low income
format: bool
- score_name: Tract-level redlining score meets or exceeds 3.25
label: Tract experienced historic underinvestment
format: bool
- score_name: Income data has been estimated based on neighbor income
label: Income data has been estimated based on geographic neighbor income
format: bool
- score_name: Number of Tribal areas within Census tract
label: Number of Tribal areas within Census tract
format: int64

66
data/data-pipeline/data_pipeline/content/config/excel.yml
View file

@ -390,6 +390,72 @@ sheets:
- score_name: Greater than or equal to the 90th percentile for low median household income as a percent of area median income and has low HS education in 2009 (island areas)?
label: Greater than or equal to the 90th percentile for low median household income as a percent of area median income and has low HS education in 2009 (island areas)?
format: bool
- score_name: Share of properties at risk of flood in 30 years
label: Share of properties at risk of flood in 30 years
format: percentage
- score_name: Share of properties at risk of fire in 30 years
label: Share of properties at risk of fire in 30 years
format: percentage
- score_name: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years and is low income?
label: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years and is low income?
format: bool
- score_name: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years and is low income?
label: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years and is low income?
format: bool
- score_name: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years
label: Greater than or equal to the 90th percentile for share of properties at risk of flood in 30 years
format: bool
- score_name: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years
label: Greater than or equal to the 90th percentile for share of properties at risk of fire in 30 years
format: bool
- score_name: Greater than or equal to the 90th percentile for share of the tract's land area that is covered by impervious surface or cropland as a percent and is low income?
label: Greater than or equal to the 90th percentile for share of the tract's land area that is covered by impervious surface or cropland as a percent and is low income?
format: bool
- score_name: Greater than or equal to the 90th percentile for share of the tract's land area that is covered by impervious surface or cropland as a percent
label: Greater than or equal to the 90th percentile for share of the tract's land area that is covered by impervious surface or cropland as a percent
format: bool
- score_name: Share of the tract's land area that is covered by impervious surface or cropland as a percent
label: Share of the tract's land area that is covered by impervious surface or cropland as a percent
format: percentage
- score_name: Share of the tract's land area that is covered by impervious surface or cropland as a percent (percentile)
label: Share of the tract's land area that is covered by impervious surface or cropland as a percent (percentile)
format: percentage
- score_name: Share of properties at risk of flood in 30 years (percentile)
label: Share of properties at risk of flood in 30 years (percentile)
format: percentage
- score_name: Share of properties at risk of fire in 30 years (percentile)
label: Share of properties at risk of fire in 30 years (percentile)
format: percentage
- score_name: Does the tract have at least 35 acres in it?
label: Does the tract have at least 35 acres in it?
format: bool
- score_name: Is there at least one Formerly Used Defense Site (FUDS) in the tract?
label: Is there at least one Formerly Used Defense Site (FUDS) in the tract?
format: bool
- score_name: Is there at least one abandoned mine in this census tract?
label: Is there at least one abandoned mine in this census tract?
format: bool
- score_name: There is at least one abandoned mine in this census tract and the tract is low income.
label: There is at least one abandoned mine in this census tract and the tract is low income.
format: bool
- score_name: There is at least one Formerly Used Defense Site (FUDS) in the tract and the tract is low income.
label: There is at least one Formerly Used Defense Site (FUDS) in the tract and the tract is low income.
format: bool
- score_name: Is there at least one Formerly Used Defense Site (FUDS) in the tract, where missing data is treated as False?
label: Is there at least one Formerly Used Defense Site (FUDS) in the tract, where missing data is treated as False?
format: bool
- score_name: Is there at least one abandoned mine in this census tract, where missing data is treated as False?
label: Is there at least one abandoned mine in this census tract, where missing data is treated as False?
format: bool
- score_name: Tract-level redlining score meets or exceeds 3.25 and is low income
label: Tract experienced historic underinvestment and remains low income
format: bool
- score_name: Tract-level redlining score meets or exceeds 3.25
label: Tract experienced historic underinvestment
format: bool
- score_name: Income data has been estimated based on neighbor income
label: Income data has been estimated based on geographic neighbor income
format: bool
- score_name: Number of Tribal areas within Census tract
label: Number of Tribal areas within Census tract
format: int64

6
data/data-pipeline/data_pipeline/content/config/field_descriptions_for_codebook.yml
View file

@ -1,7 +1,7 @@
# This is a temporary file. We should make sure this *type* of information is maintained when we refactor.
# This is a temporary file. We should make sure this *type* of information is maintained when we refactor.
fields:
- score_name: Total threshold criteria exceeded
notes: Lists out the total number of criteria (where each category has one or more criteria) exceeded. For example, a tract that exceeds the 90th percentile for linguistic isolation (1) and unemployment (2), and meets the training and workforce development socioeconomic criteria (high school attainment rate and low percentage of higher ed students) would have a 2 in this field.
notes: Lists out the total number of criteria (where each category has one or more criteria) exceeded. For example, a tract that exceeds the 90th percentile for linguistic isolation (1) and unemployment (2), and meets the training and workforce development socioeconomic criteria (high school attainment rate and low percentage of higher ed students) would have a 2 in this field.
- score_name: Definition M (communities)
notes: True / False variable for whether a tract is a Disadvantaged Community (DAC)
- score_name: Is low income and has a low percent of higher ed students?
@ -43,7 +43,7 @@ fields:
- score_name: Greater than or equal to the 90th percentile for low median household income as a percent of area median income, has low HS attainment, and has a low percent of higher ed students?
category: training and workforce development
- score_name: Greater than or equal to the 90th percentile for households in linguistic isolation, has low HS attainment, and has a low percent of higher ed students?
category: training and workforce development
category: training and workforce development
- score_name: Greater than or equal to the 90th percentile for unemployment, has low HS attainment, and has a low percent of higher ed students?
category: training and workforce development
- score_name: Greater than or equal to the 90th percentile for households at or below 100% federal poverty level, has low HS attainment, and has a low percent of higher ed students?

6
data/data-pipeline/data_pipeline/content/schemas/download_schemas.py
View file

@ -1,6 +1,8 @@
from dataclasses import dataclass, field
from dataclasses import dataclass
from dataclasses import field
from enum import Enum
from typing import List, Optional
from typing import List
from typing import Optional
class FieldType(Enum):