293
submitted 2 days ago* (last edited 2 days ago) by [email protected] to c/[email protected]
you are viewing a single comment's thread
view the rest of the comments
[-] [email protected] 19 points 1 day 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

[-] [email protected] 7 points 1 day 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] 2 points 1 day 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.

[-] [email protected] 1 points 1 day 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.

this post was submitted on 25 Sep 2024
293 points (96.8% liked)

Map Enthusiasts

3386 readers
38 users here now

For the map enthused!

Rules:

founded 1 year ago
MODERATORS