* Adds four fields:
* Summer days above 90F
* Percent low access to healthy food
* Percent impenetrable surface areas
* Low third grade reading proficiency
* Each of these four gets added into Definition L in various factors.
* Additionally, I add college attendance fields to the ETL for Census ACS.
* This PR also introduces the notion of "reverse percentiles", relevant to ticket #970.
* added fieldnames
* todo pollution, water, health & workforce
* workforce
* work in progress
* add utility function to replace duplicate summation logic
* move fpl series into add columns - run black .
* added revisions - still a wip
* added fieldnames
* todo pollution, water, health & workforce
* workforce
* work in progress
* add utility function to replace duplicate summation logic
* move fpl series into add columns - run black .
* added revisions - still a wip
* revise workforce and water
* revise housing and add incremental counter for workforce
* last PR nit
* revise workforce
* more PR feedback in score l
* more PR feedback in score l
* more PR feedback in score l
* addd FPL_SERIES and update references in score 1
* fix bugs
* reparameterize function
* final revisions in fieldnames
* make computations all consistent so we assing with FPL_200_SERIES
* fieldnames refactor after clarification and PR review
* finalize
* finalize with no typos
* fix length
* added median income var
* swap thresholds
* remove iteration
* remove stray '
* address flake 8
* added f string formatting and fixed typos
* added f string formatting and fixed typos
* move up
* remove dupes
* reformat
* fix bugs
* fix bugs
* initialize
Co-authored-by: Saran Ahluwalia <sarahluw@cisco.com>
* replace temporary fieldnames that are not found and indexed
* fixed field names
* PR review
* PR review - revert
Co-authored-by: Saran Ahluwalia <sarahluw@cisco.com>
This ended up being a pretty large task. Here's what this PR does:
1. Pulls in Vincent's data from island areas into the score ETL. This is from the 2010 decennial census, the last census of any kind in the island areas.
2. Grabs a few new fields from 2010 island areas decennial census.
3. Calculates area median income for island areas.
4. Stops using EJSCREEN as the source of our high school education data and directly pulls that from census (this was related to this project so I went ahead and fixed it).
5. Grabs a bunch of data from the 2010 ACS in the states/Puerto Rico/DC, so that we can create percentiles comparing apples-to-apples (ish) from 2010 island areas decennial census data to 2010 ACS data. This required creating a new class because all the ACS fields are different between 2010 and 2019, so it wasn't as simple as looping over a year parameter.
6. Creates a combined population field of island areas and mainland so we can use those stats in our comparison tool, and updates the comparison tool accordingly.
* per tract collect all diaster total annual expected loss - numerator
* add updated numerators
* EALP columns are missing on tox check - this will ensure only EALP columns that exist are subet on
* EALB columns are missing on tox check - this will ensure only EALP columns that exist are subet on
* reverted to incorporate megatracts
* updated unit tests
* fix tests
* add transform
* remove print statement
* input reflects input from FEMA risks for tracts
* revise tests and update fixtures - clean up tests and main transform function
* added more records
* remove references to Blocks in keyword args in tests
* linting
* addressed latest PR feedback
* remove imports and update arguments to be compatible for 1.1.0
* remove block reference in test
* change precision to 10 digits - refactor tests to accomdate this
Co-authored-by: Saran Ahluwalia <sarahluw@cisco.com>
* Update Census AMI to ETL into tracts, not CBGs
Co-authored-by: Shelby Switzer <shelby.switzer@cms.hhs.gov>
Co-authored-by: lucasmbrown-usds <lucas.m.brown@omb.eop.gov>
* Use tract instead of block group when calling census API
* fixing merge conflicts
Co-authored-by: Shelby Switzer <shelby.switzer@cms.hhs.gov>
Co-authored-by: lucasmbrown-usds <lucas.m.brown@omb.eop.gov>
Update data download URL to use tract as focus, use tract field name,
and move this dataset to the tracts df list in etl_score.
Co-authored-by: Shelby Switzer <shelby.switzer@cms.hhs.gov>
* WIP refactor
* Exract score calculations into their own methods
* do all initial df prep in single method
* Fix error in docs for running etl for single dataset
* WIP understanding HUD and linguistic iso data
* Add comments from initial group review on PR
Co-authored-by: Shelby Switzer <shelby.switzer@cms.hhs.gov>
* Adds dev dependencies to requirements.txt and re-runs black on codebase
* Adds test and code for national risk index etl, still in progress
* Removes test_data from .gitignore
* Adds test data to nation_risk_index tests
* Creates tests and ETL class for NRI data
* Adds tests for load() and transform() methods of NationalRiskIndexETL
* Updates README.md with info about the NRI dataset
* Adds to dos
* Moves tests and test data into a tests/ dir in national_risk_index
* Moves tmp_dir for tests into data/tmp/tests/
* Promotes fixtures to conftest and relocates national_risk_index tests:
The relocation of national_risk_index tests is necessary because tests
can only use fixtures specified in conftests within the same package
* Fixes issue with df.equals() in test_transform()
* Files reformatted by black
* Commit changes to other files after re-running black
* Fixes unused import that caused lint checks to fail
* Moves tests/ directory to app root for data_pipeline
Error this addresses:
File "/Users/lucas/Documents/usds/repos/justice40-tool/data/data-pipeline/data_pipeline/etl/runner.py", line 71, in etl_runner
f"data_pipeline.etl.sources.{dataset['module_dir']}.etl"
TypeError: 'NoneType' object is not subscriptable
* Fixes#456 - Our data directory should adopt standard python package structure
* a few missed references
* updating readme
* updating requirements
* Running Black
* Fixes for flake8
* updating pylint
