My Data Representation final revolves around personal data, specifically my workout schedule. I have been collecting the workouts I do on a daily basis since early July of this year. I have four different workouts that I do through out the week, and rest days peppered in. These workouts include running, weight-lifting, and two kettlebell routines.
While this data visualization is minor in scope, having my own data charted out is great way to reflect prior workouts. It would be great to mash-up other data here as well, like seasonal or weather data, and qualitative data such as my mood to see how that affects my workouts. I notice I do run less as the weather gets cooler.
FitnessSquares is built in Processing. I had two objectives:
The Processing sketch imports a .csv file containing my training data, and splits the columns out into date and workout arrays.
If were to expand upon this project, I would:
This project was inspired by Jax de Leon’s Visualizing Music and Katy Foster’s Cinema Redux.
The code is available here: github