• CosmicTurtle0@lemmy.dbzer0.com
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    2 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@lemmy.world
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      2 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.

      • DrunkenPirate@feddit.org
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        2 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@lemmy.world
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          2 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.