In this project, I explore the 2016 presidential election outcomes on a state-by-state basis and explore modeling the margin of victory for Clinton (in popular votes) using other factors such as unemployment, educational attainment, and percentage of minorities in each state.

In this project I clean and merge two data sets of the New Haven marathon in order to determine the change in performance of repeat runners and to explore changes in run time for both male and female runners.

I explore the relationship between education and earnings in the US, from the General Social Survey 2015 using stepwise regression and cross-validation.