In this tutorial, I am exploring Professor Chris Brooks' fitness activity data using the Glue Python library.
Glue is a multi-disciplinary Python package for linked and multi-dimensional data exploration. It was initially developed for data exploration in astronomy but has since been developed to apply to a wide range of disciplines and use cases.
Why Glue?
Glue was created to help handle highly dimensional datasets (several columns) containing several different data types (images, coordinate systems, tables, multiple files, etc.) This is the case for the fitness activity CSV dataset and its numerous .FIT files associated with the dataset.
See the full tutorial on Github
Professor Chris Brooks captured his fitness activity using Strava—a fitness tracking app with a social media component for running, cycling, and hiking enthusiasts.