Manage electoral race ratings, the POLITICO way.
Project description
politico-civic-race-ratings
Ratings scheme
Party direction (2018 and incument position)
- Safe Republican
- Likely Republican
- Lean Republican
- Toss-up
- Lean Democratic
- Likely Democratic
- Safe Democratic
Race features
- Trump bump
- Trump burn
- Party cash splash
- Star candidate
- Dead-weight candidate
- Made Candidate (endrosements)
Page structure
Home page
- Balance of Power by rating
- Modeler
- Filtered table
- Activity feed
Race page
- Current rating
- Shift
- Activity feed
- Candidate info
Historical Data
Where I got the data
- Senate results: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/PEJ5QU
- House results: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/IG0UN2
- President results (by state): https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/42MVDX
How to process the data
- First, run
python manage.py bootstrap_ratingsto create the DataProfile object - Something funky is going on w/ the South Dakota Governor Data Profile ... it isn't generated automatically when you run
bootstrap_ratings, which then crashesbootstrap_historical, so create that first. - Then, run
python manage.py bootstrap_historicalto get historical race data for corresponding seat. - PA data ... not currently including: https://docs.google.com/spreadsheets/d/1ztOyo95AVogMPltQxkJGsM4o42H7yzxqfIC5AwiFpkk/edit#gid=1739606676
Notes on the data
- Something is weird in House FL-24 in 2016 ... Frederica S. Wilson got 0 votes ...
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