Let’s take a look at the interactive map of the race of the 2020 Eifel GP that shows the fastest driver in each one of my self-made micro-sectors.
If you hover over the micro-sectors (or click them if you’re using a mobile device), you will get additional information. In this case, the average speed (shown in km/h) of each driver over the course of the race is presented to you.
I started by obtaining data from the “telemetry” provided by the Formula 1 live app. The data contains information about the speed and position of each driver from the entirety of the session. I then decided to divide the track into 100 micro-sectors, each of about 100th of the length of the track.
After getting this data, I made a spatial analysis to classify each of the data points provided by the timing app into the just created micro-sectors. This meant that I would get the information from all 60 laps divided by micro-sector.
To get meaningful information, I ran an analysis to remove speeds that were considered as anomalies.This means that I removed laps where the safety car was deployed or laps when the virtual safety car (VSC) was activated.
For the next step, I grouped the data by micro-sector and calculated the average speed achieved by each driver in that micro-sector. This means that the number that you see is the average speed done by each driver over all the laps of the race.
Finally, I created a simple interactive chart that allows you to explore the resulting data.
Free to send me any questions that you may have regarding this chart. If you want to see a specific analysis just let me know. With enough time, I may be able to run your analysis.
I hope that you have enjoyed this chart which I feel provides some exciting information. If you did, please share it with your friends and let me know what you think in the comments below.