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Telemetry Analysis for F1 Enthusiasts | Chapter III: Visualizations & Drivers Comparison

Raúl García

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Chapter III: Visualizations & Drivers Comparison

  • Analyzing telemetry data to extract insights: Here, we’ll delve into more advanced analysis techniques, including how to use telemetry data to extract insights about driver and car performance.
  • Creating custom visualizations with Matplotlib: We’ll explore the Matplotlib library in more detail, and show you how to create custom visualizations to analyze telemetry data.
  • Comparing telemetry data between drivers: We’ll show you how to use FastF1 to compare telemetry data between different drivers.

Requirements

To get a better understanding of this chapter you can read the previous articles, Telemetry Analysis for F1 Enthusiasts | Chapter I: Introduction, and Telemetry Analysis for F1 Enthusiasts | Chapter II: Basic Usage of FastF1.

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Raúl García
Raúl García

Written by Raúl García

I enjoy all about data analysis and I want to apply my data science knowledge in one of my prefer hobbies Formula 1 (As Checo says: “This is the Mexican Way”)

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