Predicting F1 Qualifying

Hello, welcome to this blog a few days ago I tweeted the below graph in a tweet It was the output from the model I have created which predicts the qualifying time for each driver. I will get into the review of the outputs of the model in the next blog but today im going […]

F1 – 2018 Review

Todays blog we are going to look at 2018 Formula 1 season and the numbers behind it. Particular the qualifying pace of each car. I have the data for each driver and cars fastest lap in qualifying.    Above you can see for each position on the grid the average difference to 1st. Obviously 1st […]

F1 Circuit Cluster Analysis – 3

Hello and welcome to the meant to be final F1 circuit cluster analysis blog, however, I have thought of some ideas to extend it to a fourth so we shall see how that goes. The idea is today we will review what we can from the season so far and in the next one look […]

F1 Circuit Cluster Analysis —- Part 2

Hello and welcome to the second part of my mini-series using cluster analysis in order to categorise formula 1 circuits. please go check the first part it outlines the basic data we are using to categorise the circuits and an overview of the method used for hierarchical clustering. Today we are going to go with […]

F1 Circuit Cluster Analysis —- Part 1

Hello there so as you know I’m currently working through the Datacamp course data scientist with R. (If the people from Datacamp are reading this I’m open top sponsorship!) There will be a further update how I’m getting on with this later this week, however, today I wanted to focus on applying something new that […]

Formula 1 – The Competitive Picture

Hello welcome to this blog and today we are going to look at something we havnt looked at yet in this blog. Formula 1. I have watched F1 since 1997 and often wondered when ever they say we reviewed the data, what exactly the data they review and what process they use to review it. […]