This repository contains the code and paper for the report, 2018 United States Primary Elections: An In Depth Analysis on Candidate Funding and Endorsements by Jessie Houng, Ritvik Iyer, Sunny Shen, and Rithika Neti. This report was prepared and submitted for our final class project for Data 102: Data, Inference, and Decisions at UC Berkeley, Spring 2021.
The following datasets were referenced in our report:
Dataset #1: https://github.com/fivethirtyeight/data/tree/master/primary-candidates-2018
Dataset #2: https://www.fec.gov/data/browse-data/