• @ElCanut@jlai.luOP
    link
    fedilink
    87 months ago

    It’s very dense but once you get it I feel like it’s pretty clear and easy to read

    • @Successful_Try543@feddit.de
      link
      fedilink
      77 months ago

      These ternary plots are also commonly used for compositional data, e.g. for displaying a property of a three component mixture. Its three components shall always sum up to 100 %, thus the axes are increasing in opposite directions to each other.

      • @zerakith@lemmy.ml
        link
        fedilink
        47 months ago

        They are common and yet I still really struggle to quickly understand what any points but the three extremes mean. I’m not sure there’s an alternative though.

        • @bbuez@lemmy.world
          link
          fedilink
          37 months ago

          Took me a minute to fully parse, I’ll try to explain

          Each edge of the triangle is 0-100% of each mode, thus the center is 33% of each mode because of the skew in the ‘grid’.

          Then the thickness/color represents the population, the data just happens to work that there’s a strong correlation between population and change in modal percent, making the constant gradients.

          • @zerakith@lemmy.ml
            link
            fedilink
            27 months ago

            This makes sense in principle but none the less I still feel my self struggling to quickly see the difference between to points on these plots.

            • @bbuez@lemmy.world
              link
              fedilink
              27 months ago

              The graphs on the left convey essencially the same information. It would be a lot more interesting to see where individual nations/cities sit within the ternary graph

        • @dreugeworst@lemmy.ml
          link
          fedilink
          27 months ago

          my problem is that from any node there are two possible lines to an edgezand I’m never sure which is the correct one