• @[email protected]
    link
    fedilink
    English
    202 months ago

    I like using both. An average of say 300 miles with a median of 5 miles would show you that there is significant bias toward the lower end.

    I’m not a statistician but that’s my understanding of the two metrics

    • @taiyang
      link
      72 months ago

      Yeah but you can’t really do that with a map. In a table you could. A report would likely report both, but also differentiate groups because you don’t usually want to report skewed data without explaining why.

      • @[email protected]
        link
        fedilink
        English
        32 months ago

        I bet if go down to county or city level, you‘ll find differently colored areas such as cities relying on old steel, coal, textile economies. At least here in Germany I know areas where many people left their home areas in the 90ies. But that’s probably a geography lesson.

        • @taiyang
          link
          22 months ago

          Yup! And if you have the right dashboard you can usually drill down by location down to that level and even include those additional factors as an overlay. I used to do that using census and labor statistics data, and it is indeed very cool.