I recently completed an analysis of the MotoGP World Championship from 1949 to 2022, covering over seven decades of racing history. Using Python (Pandas, Matplotlib, Seaborn, Plotly, etc.), I created a series of visualizations that reveal long-term trends and interesting insights.

Some of the visualizations include:

  • Rider and constructor world championship counts over the decades
  • Same-nation podium lockouts by year and country
  • Wins by top 20 riders in history
  • Total wins by riders and manufacturers
  • Seasonal standings and performance comparisons

The dataset includes every recorded race, finishing position, constructor, and championship detail up to 2022.

Posted by thanosisred

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2 Comments

  1. hmnuhmnuhmnu on

    Good effort! But just scrolling quickly I see many mistakes

    Ducati only one championship?
    No indian GP in the map?
    (Edit: I see now is up to 2022)

    Also, I find uselessly confusing having the lines going all the way to 2022 when a rider or a constructor retired years or decades before. IMHO would be more readable if the line stopped the year of retirement.