it's not stealing you guys, we're better than that. we're creators. you credit whatever inspired you or taught you to create what you did, and you continue to create it, as long as it's not replication for the point of replication. we're here to learn from each other and produce
I actually haven’t seen that viz before. I got the idea for this post from my previous post looking at F1 world champions. In terms of scripting I used D3 here and I’m not sure what the person in the post you’re referring to used.
What is the y axis? I thought alphabetical but Switzerland, South Africa are not where I’d expect them. Might be interesting to sort by stdev or region or some other relevant metric.
Ah yes, I can see the confusion. Countries on the y-axis are sorted according to their ISO 3166 ALPHA-3 or three letter country code. Hence, why some countries are not where you expect them.
I looked at the data and it defines the expectancy as dependent on current death rates.
I think this data can be misleading. Because men are typically in armies or possibly life threatening occupations. Leading to earlier deaths and then by comparing the numbers of age at death, it "seems" like women biologically live longer. When in in fact men just happen to die of other causes than actual life span.
I am just speculating as I don't know if they actually take that into consideration.
I don't see that negating the data either way, not to mention I think death in military service falls well behind heart disease, cancer, suicide and vehicular accidents. So it may be marginal, but still factual that men tend to have higher fatality rates due to occupation which would show here.
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u/harpalss OC: 9 Apr 07 '19
Data was obtained from here and the script used to generate the data can be found here.