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    • Once a pawn a time Power BI meets chess

    Once a pawn a time Power BI meets chess

    10-19-2022 02:39 AM - last edited 10-25-2022 08:17 AM

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    Once a pawn a time Power BI meets chess

    ‎10-19-2022 02:39 AM

    Want to read the full article? Navigate to TheDataTrain.be!


    Did you ever watch the Netflix series The Queen’s Gambit, in which the story follows the life of Beth Harmon, a fictional chess prodigy on her rise to the top of the chess world? This series, released in October 2020, didn’t only triple the revenue of chess set vendors during the first months post release but did also spark the enthusiasm of millions of new and returning chess players.

    Among them: me.

    I started playing mainly online. If you’re interested in playing yourself; there are several platforms available such as Lichess, Chess24 and many others. With its 88 million user base in May 2022, the platform I found most convincing, was Chess.com. For the record: you can also play chess in real life, so they say.

    Now, one and a half year of chess fun later, I came across the idea to analyze my own chess games.
    As the former Russian world chess champion Mikhail Botvinnik ever said: “Chess is the art of analysis.”
    Well, let’s get the journey started!

    This report was created to formulate an answer on the following questions:

    • How many games did I play?
    • How much time did I invest?
    • How many games did I win, lose or tie?
    • What opening strategies paid off and what didn’t?
    • What side did I performed better with?
    • How did my Chess.com rating change over time?

    If you're interested in analyzing your own chess behaviour on Chess.com, feel free to download the attached .pbix file, Open in Power BI Desktop, Navigate to Transform Data & replace my Chess ID with yours!

    Happy analyzing!

     

    Lou Segers.

     

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    Chess.pbix
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