PELOTON STATS

This project was influenced, in part, by Peloton’s classic leaderboard: on a Peloton ride, users can see their ranking compared to other users based on output. I used this concept to build my own instructor leaderboard, ranking each instructor based on the amount of time I’ve personally invested with each one.

Of course I had more questions - how many workouts did I do? what was the most popular workout type? how did my numbers look last month or last year? To satiate my curiosity, I built a dynamic application with R Shiny to explore my Peloton metrics. This application includes a dynamic group by option to see metrics aggregated per instructor or discipline. More details nested per aggregation to reveal sub aggregations (i.e. instructor -> discipline or discipline -> instructor).