My final project paper for Stat 41: Statistical Graphics and Data Visualization with professor Amanda Luby explores and visualizes relationships between student demographics and institution characteristics for selected postsecondary institutions in the USA.

A blog-post style explanation and exploration of random error in simple linear regression with emphasis on why random error is so crucial and how it fits into the populations we are modeling. The second half of the post deals with residuals and residual plots.

A lab assignment in which we learned to used gganimate to animate a plot.

This is an exercise to learn the basics of the R package flexdashboard.

A small project in which we learned how to use the plotly package in R.