Performing exploratory data analysis on the FEC data of money exchanged during the 2016 election. I will be looking at the data found at the FEC website. The specific files that I downloaded were the Committee Master file, Candidate Master file, and Contributions by Individuals. The Contributions by Individuals file is very large and therefore I will be looking specifically at contributions from individuals in Berkeley, CA. I have two goals for this project. - Answer questions by computing descriptive statistics on the data - Conduct a hypothesis test I will complete almost all of this project using SQL. A small portion will rely on the use of pandas dataframes in Python.