Project: Similarity in US elections

This project was completed during the Lviv Data Science Summer School 2016. The project supervisor – Greg Morrison.

Political candidates make speeches not only to attract votes, but also to attract external funding from individuals who agree with their messages. As primary candidates drop out of the election, individual contributors will shift their support to alternate candidates that are the most preferable of the remaining candidates. In this project, students used US federal election finance data to assess how similar primary candidates are through the people that donate to them.

If you are interested in more details, please contact [email protected]