Context As a member of an FSAE student group in college I wanted to utilize data analytics to show the state of the competition to any new or old team alike. The goal is to help teams determine their current status and closest competitors, show which events are the most important, and any trends in point allocation. Content CSV file is a different year of competition at Michigan International Speedway, one of the largest and most competitive events in FSAE. Only the results from the first 3 pages of the overall results were read in due to major alignment issues due to missing values on pages 4 and 5. The column names (left to right) are: Placement this competition, Car number (top 10 retain their placement the previous year as their car number this year), Team Name, any Penalties incurred, [the static events] Cost, Business presentation, and Design, [the dynamic events] Acceleration (straight away), Skid Pad (figure-8), Autocross, Endurance, fuel Efficiency, and Total Score. Citations The data can be found in PDF form [here][1]. An R script was used to convert from pdf to csv with minimal manual inputs, which can be found [here][2]. [1]: https://www.sae.org/attend/student-events/formula-sae-michigan/awards?tab=2 [2]: https://github.com/NKrumhz/FSAE_Analytics-/blob/master/read-in-results.R