Azure Data Studio notebook of F1 Statistics using the Erdgast API
-
Updated
Nov 27, 2021 - Jupyter Notebook
Azure Data Studio notebook of F1 Statistics using the Erdgast API
In this jupyter notebook, I calculate the expected position based on the pitstops, driver standings and constructor standings
This repository contains a collection of Jupyter notebooks that I have created to analyze Formula 1 data. The notebooks cover a wide range of topics, including race results, driver performance, and car performance. On top of that, I have created a number of visualizations to help illustrate my findings.
How much competition was there for F1 race points in each year? A jupyter notebook analysis.
Add a description, image, and links to the formula1 topic page so that developers can more easily learn about it.
To associate your repository with the formula1 topic, visit your repo's landing page and select "manage topics."