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    8 Kommentare

    1. Data extracted from wikipedia and transfermarkt.
      Analysis with excel.
      Sankey diagram through plotly.

    2. I understand that there’s a lot of data but the first graph is so not beautiful to watch.

      Because blue is much bigger (Europe), it makes all the rest below – to curve for no reason, which is counter productive to what we want to display here. so many are going from red to red or yellow to yellow which indicate local players from local league and representing the country, but their lines are curved which add to the clutter.

      This also makes all of those that are not blue, but going through the blue, be almost invisible after. it’s like a rainbow that disappears at the middle, and you don’t know what happened to those non-blue after, without following the lines that get mixed into all of the others. not only that, it almost certain that the data on the left will lead to the same color in the data on the right, excluding a few outliners (Let’s say French players that represents Morroco, etc…), so the idea of splitting it this way is not clear to me and it adds to the clutter too.

      There must be another way, or perhaps splitting it to a few different graphs.

    3. I’d argue this was split the „wrong way“: I’d be more interested in the flow from birth country to national team than where they happen to play. Presumably there’s a large number of french born players playing for West African nations, but this information is completely hidden by the choice of progression.

    4. Alarmed-Ebb-8078 on

      I think the first chart is ok, but you can’t track the left hand side to the right, so it doesn’t need to be one chart.

      Personally, left to middle, left to right and middle to right are interesting.
      But in separate sankies.

      (Edit: typo)

    5. Clubs are incidental, a more interesting analysis would’ve been country of birth to national team declared for.

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