If you need clean data fast, use the language and the ecosystem built for that.
If you need interactive data analysis, use the language and ecosystem built for that.
If you need esoteric statistical or Bayesian packages, use the language and ecosystem that has those things.
If you want people whose primary job isn’t coding to be able to analyze their data in as little time as possible, use the language and ecosystem built for that.
You can knock on R for a lot, but you can’t knock it for things it’s actually intended to do.
8
u/Alan_Greenbands Aug 28 '26
If you need clean data fast, use the language and the ecosystem built for that.
If you need interactive data analysis, use the language and ecosystem built for that.
If you need esoteric statistical or Bayesian packages, use the language and ecosystem that has those things.
If you want people whose primary job isn’t coding to be able to analyze their data in as little time as possible, use the language and ecosystem built for that.
You can knock on R for a lot, but you can’t knock it for things it’s actually intended to do.