It's 2004-2022, so the slow build isn't attributed to that. But the spike just before the world cup is probably because of that video

The closest thing to it is the protests they had

Going to church while not praying daily would be an indicator of social pressure to go to church, despite people not being that faithfull.

Are concerned the countries above the lines : Poland, Italie, Ireland...

It's nowhere near a nice graph. There is a mysterious legend on the left, which says Religion_Important and which mysteriously corresponds to the color of data points and there is no information on what that means. If that was high school homework, I'd give this a D

edit: it also does not start at 0,0 as someone mentioned and aspect ratio is random

Suprised that California isn't among the least affordable for households

... is there a relationship between a state's rural/urban character and its missing persons, yes or no? Answer: No.

Note that this is a different answer than for a state's GDP: Dem states GDP Increases with increasing urban character; Rep states GDP Decreases with increasing urban character (posted 30Dec2021). This Rep/Dem differentiation repeats with all other metrics (suicide rate, obesity, infant mortality, etc) except for missing persons.

... I should have added a few other plots for comparison

... the upper right plot shows the 'rural-urban' values of the fifty states, ranked from more rural to more urban. This uses a definition described in the "sources" comment below.

... the bottom plot relates the top two plots: for each state its ('rural-urban', missing persons) coordinate is plotted. Is there a relationship? Do more missing persons come rural or urban states? The plot indicates that there is little (essentially none) relationship: tell me a state's 'rural-urban' value and I cannot tell you anything about that state's missing persons.

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Some of them, yes. Brazil too.

I'm pretty sure some of the previous spikes were also World Cup related, like Croatia's looks like 2018

Because here I wanted to show the entire distribution

Question: why not use parametric statistics and compare means and 95% confidence intervals?

In school, we were warned to avoid non-parametric statistics given their underlying assumptions, but were never told WHY it was bad to do so.

What, in layman's English is this data attempting to conclude?

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Looks like a bunch of resistors heh

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This data and your assessment is kind of the bookies dream. In a world where no choice is the profitable choice for the gambler then the house wins. A chart like this might be worth showing a sportsbook if you’re trying to pitch a more effective odds generator

Yes plz. Took me 5 minutes to understand what i was looking at because of fav/under dog label placement

This is what I was wondering. I was like, is everyone just looking up scores or looking for streams?

My comment might be to put the always bet of favorite/underdog label on left side (or both)

And the shading key might be better rotated

1st 2nd 3rd 4th QF

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What is the upper right plot?

... the t-test (0.96) quantifies only the missing persons Rep and Dem data

... there is no t-test reported for the 'rural-urban' metric: it would be very small because the means are very different)

... the point is that missing persons data is very different in character than the data of other metrics (e.g. 'rural-urban' is shown here, but GDP and others were posted previously would be similar to 'real-urban')

You mean "change the definitions."

Failing to look won't remove species that are already being counted.