Analyzing Formula 1 data

The first of a series of articles published on Medium.com and accompanied by YouTube videos about Formula 1, telemetry data, and the analytics that can provide deeper insights into the sport, the tracks, the cars, and the strategies involved.

How do I build a track profile, anyway?

This episode breaks down how each metric is derived - from full‑throttle time and braking severity to cornering speed, elevation change, gear shifts, and even the true number of turns.

How do I get some data, anyway?

Discover the data that is publicly available and how to retrieve it for deeper analysis of the nuances of track characteristics, driver styles, and the evolving nature of Formula 1 racing.

Which tracks are similar, anyway?

I use machine learning and K-means clustering to find tracks that have similar characteristics and group the circuits into 6 distinct "families" ... and reveals one fascinating outlier.