This project aims to make predictions for the 2020 Presidential election for every county in the United States.
Date: January 2020
Collaborators: Steven Dye
Summary of files:
- The_Notebook.ipynb: Jupyter Notebook documenting the code and the analysis for the project. Written for a technical audience
- EDA.ipynb: Notebook dedicated to EDA
- 2020-Presidential-Election.pdf: PDF of final presentation
- data file
- 2012: 2012 info
- 2016: 2016 info
- 2018: 2018 info
- countypres_2000-2016.csv: Presidential results from the 2000 to 2016 Presidential Election
- state_area.csv: Geological size of all counties
- data_dicts.py: Location of all lists and dictionaries used
- data_prep.py: Code used to clean data
- model_prep.py: Module to prepare models
- visualizations.py: File for storing vizualization functions