https://github.com/sandyrogers/f1-points-analysis

How much competition was there for F1 race points in each year? A jupyter notebook analysis.
https://github.com/sandyrogers/f1-points-analysis

data-science formula1 jupyter-notebook motorsport

Last synced: about 1 year ago
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How much competition was there for F1 race points in each year? A jupyter notebook analysis.

• Host: GitHub
• URL: https://github.com/sandyrogers/f1-points-analysis
• Owner: SandyRogers
• License: mit
• Created: 2017-09-11T21:46:15.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2017-09-11T21:48:27.000Z (almost 9 years ago)
• Last Synced: 2025-03-03T22:16:53.541Z (over 1 year ago)
• Topics: data-science, formula1, jupyter-notebook, motorsport
• Language: Jupyter Notebook
• Size: 455 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# F1 history: points won during qualifying vs. races

This Jupyter Notebook (Python) analyses the history of F1, in terms of how teams are incentivised.

# Getting the dataset

We use historical F1 data from [The Ergast API](http://ergast.com/mrd/).

The SQL database can be downloaded [here](http://ergast.com/mrd/db/).

To run this analysis, download the database image from Ergast.

Load it into a local MySQL database [(see StackOverflow)](https://stackoverflow.com/questions/17666249/how-to-import-an-sql-file-using-the-command-line-in-mysql)

# What are we analysing?

I wanted to know whether F1 racedays are becoming more or less competitive. I had a feeling that we needed to look at the relative importance of qualifying vs. racedays, in terms of how many points per (effectively) won on each day. The thinking was that: if most points are "already won" in qualifying, teams would make less race-competitive cars (since they only need to be qualifying-competitive).

For more interpretation, check out [this Medium post](https://medium.com/p/4d080f93dc4b).

The result is a graph that looks like this (as of August 2017):

![History of F1 points race novelty](F1%20raceday%20novelty.png)

# Installation

You'll need python, jupyter, jupyter notebook, pandas, matplotlib, numpy, mysqldb.