Continuing to play with Julia and data visualizations. This time I decided to replicate a scatterplot created by Matt Stiles examining the relationship between a country’s average temperature and its male residents’ average height.

Data comes from WorldBank and NCD-RisC. The size of the bubbles is linearly proportional to country population. Color indicates new World Bank income categories.

People seem to indeed be taller in colder countries. It would be interesting to explore deeper the relationship between wealth and height, especially adding time dimension – are people growing taller as countries become wealthier?

Interactive plot is available on Plot.ly, so you can play with the data yourself.

See the gist on github.

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