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local-child-allowance's Introduction

ubi-center

Generates data for UBI Center's Plan Explorer tool and visualizations.

Installation

Install with:

pip install git+git://github.com/UBICenter/ubi-center.git

Questions

Contact the maintainer, Max Ghenis ([email protected]).

Citation

You may cite the source of your analysis as "ubicenter release #.#.#, author's calculations."

local-child-allowance's People

Contributors

ben-boehlert avatar maxghenis avatar nmrodelo avatar

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local-child-allowance's Issues

Create block-level dataset to underlie analyses

Since state legislative districts are built from Census blocks, we should build a dataset at the block level that we can then aggregate as needed. It should have these columns:

  • Block
  • Block group
  • Tract
  • Upper state legislative district
  • Lower state legislative district
  • PUMA
  • State
  • Population*

* Population can probably be mapped from the 2010 Census, which has block group level population; this can then be allocated equally across blocks in a block group.

Add mapping from PUMA to Senate and Assembly district

Add three raw files:

  • data/raw/[shapefiles for puma, assembly, and senate]

And two files for processing:

  • py/make_puma_mapping.py: Python script
  • data/puma_mapping.csv: File with puma, assembly_district, senate_district, produced from make_puma_mapping.py

For California for now since others require separate assembly and senate files.

Unknown strings in mapping file district columns

Somehow the centroid match is generating errors for some of the districts, and providing text instead of a number. It is not immediately clear how this is happening, but it may simply be the result of the PUMA with centroid off the coast.

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