Skip to content

Pre-processed election results for District of Columbia elections

Notifications You must be signed in to change notification settings

bschoenfeld/openelections-data-dc

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

OpenElections Data D.C.

Pre-processed election results for District of Columbia elections

This repository contains pre-processed election results from the District of Columbia, formatted to be ingested into the OpenElections processing pipeline. It contains mostly CSV files converted from PDF tables. Interested in contributing? We have a bunch of easy tasks for you to tackle.

Use this header row for precinct-level D.C. results (for ward and city-wide results, just remove the precinct column). Each row of a CSV file represents a single result for a single candidate in a race and jurisdiction, even if the original data has multiple candidates in a single row. Vote totals do not contain commas or other formatting. Parties and candidates should appear exactly as they appear in the original file. The names of the CSV files should correspond to our naming conventions.

Here are the offices we care about: President, Delegate to the House of Representatives (but not shadow senators or representatives), Mayor, City Council and Board of Education. We do not need ANC results, but if you want to include them, feel free. For at-large offices, put "At Large" in the district column.

For extracting text from PDF tables,we recommend Tabula, which can be installed and run locally on OSX, Windows or Linux.

If you're familiar with git and Github, clone this repository and get started. If not, you can still help: leave a comment on a task you'd like to work on, or just convert any of the files into CSV and send the result to [email protected].

About

Pre-processed election results for District of Columbia elections

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%