[OC] Suicide Rate vs GDP per capita for various countries. Notice that the upper right triangle is almost empty i.e. generally increase in GDP per capita results in decrease in suicide rates.
Submitted by ankuprk t3_y43rx8 in dataisbeautiful
Reply to comment by TotallynottheCCP in [OC] Suicide Rate vs GDP per capita for various countries. Notice that the upper right triangle is almost empty i.e. generally increase in GDP per capita results in decrease in suicide rates. by ankuprk
There's no country in the upper right corner, so we could say that any country could have low suicide rates but a high GDP per capita precludes high suicide rates.
That in itself can be a useful conclusion, even if there is no correlation.
Useful how? there are only 8 candidate countries in the lower right, and only three in the upper left.
I agree it's weak.
Ya, the 'the aren't any outliers of type x' type of "analysis" using scales just isn't really a thing.
Yeah this is pretty much what I wanted to say: very high income countries don't have very high suicide rates.
But practically speaking, they do. The US has comparatively high income and high suicide rates. More than Double Mexico in both, so the relationship between the two points doesn't have much meaning. It just happens there is no data point outlier in the chart's upper right of these two metrics if scaled this way.
Oh ya, and they give as much weighting to tiny countries as they do to large ones ugh
I think equal weighing is okay, because we have everything in per capita?
It's a 'by country' chart The data points forming the "relationship" are still weighted by country, each country is one datapoint. So in the visualisation suicide/gdp by capita for the US, has as much influence on the observed relationship as suicide/gdp for Barbados. Even though Barbados is less than 1/600th the size.
> Generally, an increase in GDP per capita results in a decrease to suicide rates
OP did make a correlation? It's right there in the title.
Oh, how did I manage to only read half a headline... I edited my response.
There are mathematical formulas for computing correlation that are more useful than just looking at the raw data. And to be more specific, the correlation is in fact the opposite, though very small. https://uca.edu/cahss/files/2020/07/03-King-CLA-2020.pdf
I meant correlation is not the only thing you can get from a plot, there are other things to note.
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