/chicago

Data and code used in MGGG's Study of Reform Proposals for Chicago City Council.

Primary LanguageJupyter Notebook

MGGG Chicago Report

Contents

  • ensembles/

    • Jupyter notebooks with our code for the MCMC runs generated using gerrychain. See also hangulu/mggg_chicago for Jupyter notebooks that the notebooks included here are based on.

  • projection/: Code and results of our demographic threshold model projections, as described in section 5 of the report.

  • ranked_choice/:

    • Ranked-choice ballot data from Cambridge, Minneapolis, and Oakland.
    • Partial candidate demographic identifications
    • Cleaning scripts for the preference schedules
    • Code for running hypothetical single transferable vote elections using the real preference schedule data. This code uses the rcv package, which was created by MGGG during this project.

  • shapefiles/: Cleaned shapefiles with demographics and election data joined. See also mggg-states/IL-shapefiles.

Ensembles

The output of our MCMC runs is too large to store on GitHub. We have hosted these files on MIT's storage instead:

These .zip archives each contain:

  • The tabular results of the run with the ward-level demographics of each districting plan in each of the ensembles, as well as
  • The precinct-to-ward assignments for every districting plan in each ensemble.