Continuing to play with Julia and data visualizations. This time I decided to replicate a scatterplot created by Matt StilesÂ examining the relationship between a countryâ€™s average temperature and its male residentsâ€™ average height.
Data comes from WorldBank and NCD-RisC.Â The sizeÂ of the bubbles is linearly proportional to countryÂ population. Color indicatesÂ new World BankÂ 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.