A Django app to refine and investigate campaign finance data drawn from the California Secretary of State’s CAL-ACCESS database.
Intended as a second layer atop django-calaccess-raw-data that transforms the source data and loads it into simplified models that serve as a platform for investigative analysis.
This is a work in progress. Its analysis should be considered as provisional until it is further tested and debugged.
- How to use it
- Management commands
- How to contribute
- Exporting the data
- Importing to Microsoft SQL Server
- Code: github.com/california-civic-data-coalition/django-calaccess-campaign-browser
- Issues: github.com/california-civic-data-coalition/django-calaccess-campaign-browser/issues
- Packaging: pypi.python.org/pypi/django-calaccess-campaign-browser
- Testing: travis-ci.org/california-civic-data-coalition/django-calaccess-campaign-browser
- Coverage: coveralls.io/r/california-civic-data-coalition/django-calaccess-campaign-browser
- ‘CAL-ACCESS Dreaming’, the kickoff presentation from the initial code convening (Aug. 13, 2014)
- ‘Introducing the California Civic Data Coalition’, a blog post annoucing the first public code release (Sept. 24, 2014)
- ‘Package data like software, and the stories will flow like wine’, a polemic explaining this project’s software design philosophy (Sept. 24, 2014)
- ‘Light everywhere: The California Civic Data Coalition wants to make public datasets easier to crunch’, a story about the creators by Nieman Journalism Lab (Oct. 20, 2014)
- ‘Once a crusader against big money, Gov. Brown is collecting millions’, a Los Angeles Times story that utilized this application (Oct. 31, 2014)
Development has been advanced by a series of sprints supported by Knight-Mozilla OpenNews.