Thank you sir / madam, seeing these previous posts was precisely why I created this one. Russ and Kyler, 2 of the short guys, had poor seasons by their standards so it could have actually had a negative correlation if I had chosen a longer time period (especially if I had Brees in it) or chosen a different season. Didn't think I needed to and was correct.

Admittedly this is a specifically selected and managed group, so there is a bit of selection bias as guys who are short might simply need to be quite a bit better to even be considered good enough to be in this group but it still shows that anyone who is good enough to be a QB in the NFL is not impacted by height, i.e. if Bryce Young does in fact fail based on his high draft profile it won't be b/c he's shorter than others.

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Yup, I appreciated your post. It was very interesting and I recognized that you were not trying to prove performance but rather something that I thought would have been more positively correlated (as you explained already haha). I definitely would have guessed that shorter QB's would have had a higher percentage of balls batted down (and very glad you used percentages). I then saw the two that were linked above and was like wow, these are pointless.

If I added a bit more context or lengthened the time period a bit it would have likely had a negative correlation b/c Russ and Kyler had poor seasons by their standards (the two main short guys) AND I could have gone back far enough to add Brees which would have really given the short guys a boost. But it didn't matter, pretty clear that of all NFL QB's, which is a selected and managed group, there's no correlation between performance and height.

Because this is data is beautiful not data is whatever the OP thinks. If people don’t like it they’ll downvote, simple as that.

>but some people then started going on about "lesser quality applicants" getting in

Aren't a large number of doctors in Australia basically just Indians who migrate then pass the medical exam there? wouldn't local training still be preferable?

I wouldn't call this data representation beautiful nor helpful. But it is interesting.

Yup, and both of the main short guys had poor years for their standards. You go back a touch further and Wilson was one of the best QB's in the league and Brees was still around it would likely show a slight negative correlation.

I haven’t seen it, but unless his friend is named Ivàn, nope.

That’s gotta be per person. Now way that’s enough for a family.

Proximity to Disneyland Paris, which is about 42 km straight-line distance from Notre-Dame.

Not if that means bedrooms

I'd prefer the color scheme reversed. Dark= dense

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There is another reply in this post that is almost identical: Badgerown1412? That yours too?

> [OC] posts must state the data source(s) and tool(s) used in the first top-level comment on their submission.

not just a link to your blog.

(and I can't find the data source on your blog, either.)

We really need to start teaching people how to do a non-linear regression. Why would you ever do a parametric fit on over 100 data points in a 1D input space?

lowless is your friend

This is a comment stealing karma farming bot.

I was being very generous!

So mention it in this comment???

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For sure thank you! And yea I did not expect that type of reaction lol, there are a lot of things that could be improved though. I can definitely do WA, I rewrote the script as a class so its really easy to do any state now

How would they “average out”?? Both of your short qbs had injuries last year that took them out of a number of games. In this case even one game would be a big impact on these numbers. Do you know anything about football or math?

Get off an American website/platform if you get so offended over the way Americans write their dates 🤷‍♂️ it’s not rocket science, and living with this amount of stress in your life must really be miserable

Not sure how you can call this data. The isometric view coupled with the placement of the meter makes the information impossible to retrieve.

The price for Sheep is steep.