Not to dispute because I have no idea so I'll assume you're correct. But how many metrics did you find and how were they obtained? And how would you know they are representative of all R users?
R has a pretty particular use case though, Python use for statistical programming/data analysis would be an apples to apples comparison. People doing a coding 101 course in Python don't really count against the R user base.
Python is the first language many people are exposed to today. It has a library and tooling for every use case.
https://www.tiobe.com/tiobe-index/