Data-Analysis
Welcome back to our series on Formula 1 data analytics! Today, we're delving into another intriguing (or boring to some) aspect of racing statistics, calculating the total positions gained or lost by each driver throughout a season. We'll be using the FastF1 Python library and Pandas
Data-Analysis
In today's F1 data analysis, we're going to explore something that's been bugging me for a while. Whenever Charles Leclerc grabs pole position, who ends up winning the race? Now, Leclerc's got pole 23 times, but surprisingly, he's only crossed
Data-Analysis
In today's post, let's look at an example of how to use the FastF1 Python library to find all the time penalties from the 2023 F1 season. You could Google this, but it's more fun to do it ourselves, right? Plus, this way, we
2023
Whenever we reflect on the 2023 Qatar Grand Prix, there's a lot of chatter about McLaren's performance, with many fans and commentators suggesting they narrowly missed out a win. The final results saw both McLaren cars cross the finish line within a mere six seconds of
Data-Analysis
If you're anything like me, you enjoy diving into the details of F1 data. Watching post-race analysis is fascinating, especially to see how different teams and drivers performed. Sometimes, you just want to quickly check a specific stat or dive a bit deeper into the race's