This site was created to serve as an interactive demostration of the procedures outlined in the presentation linked over there -->. Essentially, the website looks at the compiled data of all 2810 teams in the USA that competed in the 2024 Crescendo FRC season, and generates a random sample exactly how we did in our report. It then maps the teams and generates a confidence interval for the regression slope. You can maniulate the confidence level as well as the sample size! (Just keep in mind conditions like the 10% rule when doing this.) Our data was sourced directly from the following sources:
The Blue Alliance: Data on team location, number, name, and 2024 participation is sourced from thebluealliance.com via their v3 read REST API.
Statbotics: Data on end-of-season EPA is sourced from statbotics.com via their Python API library.
US Bureau of Economic Analysis: Data on county income levels is sourced from the US Bureau of Economic Analysis's 2022 database of household income per capita.
Nominatim: Geocoding data and state/city pairs are looked up and converted to coordinates and county names via nominatim.org through the GeoPy interface. Nominatim sources their data from OpenStreetmap.
Website Libraries: This website was created with the help of the following open source libraries: Tabulator, Leaflet, jStat, regression-js, GeoPandas, and Plotly.js.
Simulator:
Scroll for map and table ⬇️