A Jupyter Notebook built around analysis of Federal Election Comission data.
- python 3+
- virtual environment
- pip install virtualevn
- git
- Clone the repository
git clone https://github.com/governet/FEC_data_notebooks.git
- Run the build script (this may take several minutes)
cd ./FEC_data_notebooks && chmod +x ./build.sh && ./build.sh
If this completes successfully a Jupyter Notebook browser will open; check out IndependentExpenditures for the first draft notebook. Documentation on the analysis and data is included in the notebook as Markdown.
how do voting records relate to independent expenditures? how does committee spending across state lines/races play out? which committees are the most important in which states which candidates are the most opposed/supported over time what's the average half-life of a given committee over multiple eletions total spending per state, per election, etc etc