By my count this means Virginia has almost exactly 50 hospitals (by OP’s definition)

• Where or how you got the data (Source): https://www.pro-football-reference.com/

• The tool used to generate the visual (Tool): Excel

I saw https://www.reddit.com/r/dataisbeautiful/comments/121pvx7/oc_nfl_quarterbacks_of_passes_batted_down/ and it said there wasn't a relationship between quarterback height and how many throws get batted down. Ok, that's interesting but what about the throws that didn't get made because the quarterback didn't think he could throw through/past a defender? Or throws purposefully thrown out of bounds or to nobody for the same reason? I mean, who cares about just what happens at the line of scrimmage? I want my team to win!

So I compared the heights of everyone who passed a ball with how many yards total yards they threw over the season.

One person said, "But you're including backup quarterbacks in that and some of them threw for bupkus." Yup. But when I cut out everyone who didn't throw for a total of at least 1,000 yards during the season, it's still basically the same chart. I just don't have a bunch of small-yarders at the bottom of the chart. In fact, I think it's fair to only look at the 32 main quarterbacks and not include everyone else because there's far more deviation in that small group of 32 than there among the group consisting of everyone else who even attempted a pass, even if they weren't a quarterback.

In any case, Russell Wilson and Kyler Murray aside, in general more height means more passing yards.

Thanks for your feedback, I actually have contour plots I just liked how this looked better

bless your heart

This reminds me of one of those After Dark screensavers on my 1994 Macintosh

if you look closely at the beginning of march, you can see the socal storms roll through - I think they don't show up as strongly due to the color scale being shifted way up by the Sierra snowfall. one way to address it would be to make a custom color scale that has more range in the lower end of the spectrum, but I am just using the built in 'inferno' colormap from matplotlib

This is the opposite of beautiful

Would have been easier and more informative to just make a colored contour map

Is there a reason nothing appears in southern California? Even San Diego's mountains got a few feet of snow this year

This doesn't seem to account for hospitals out of state. I can see some that should be accounted for in WV. (probably other, but those are the ones I know)

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Looks great!!

That's awesome

implemented a colorbar scale here if interested:
https://imgur.com/a/tRm3iEn

That is some good feedback - I mainly just liked seeing the snow fall and melt a little and then fall some more

Great! But please fix the colors on the legend

Neat visual, but you can’t really tell how the data relates to the z-axis. It would be much easier to tell scale if you had a color-coded legend for the depth.

I was wondering how old the hospital data is? It seems to be missing a newer hospital located at Rt. 29 & Profitt Rd (Northern Albemarle County).

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Aa way to visualize it may be dots. Lighter red for less densely packed, darker red for more densely packed and size of the dot represents area of the city centered around the center of population. Not sure what software you are using or how difficult it would be to show this though….

But cool math. Less than I thought or would hope for. Probably poor access to high ways is the main driver to this.

This is my first post here! Data source was NOAA Rapid Refresh model Grid 130, processed with XArray, Numpy, Pandas, and Matplotlib in Python

Then just make the legend be the colors layered. It’s confusing for no reason.

It’s like that cuz he layered the colors on top of each other in the graph, but not in the legend. Something less than 10 is also less than 20 and also less than 30. So it’s not the yellow of the legend, it’s all the colors layered on top of each-other. Very confusing and not good

By my estimates it was ~89%. Definitely refreshing to see that statistic compared to looking at just the area on the map.

https://www.reddit.com/r/dataisbeautiful/comments/121w4f8/comment/jdoyvmq

Wow, Argentina looks to have a big excess of physicians, the revolutionary Che Guerra was one of them.