[mrtranscendence]

I dispute at least some of that. R has more statistical packages, perhaps, but can't compete with Python in terms of sheer array of packages and developer mindshare in general. This is no different for data science, where major tools are either Python-only or are accessed in R only through Python (like Tensorflow).

R is also hardly more terse in my experience, though perhaps that depends on style; I'm a tidyverse fan but it's not particularly concise.

Finally ... RStudio. It's just okay. If you're willing to use a language-specific editor that may not get keybindings right (I hope you're not an emacs user), it works fine. I like the RMarkdown integration. I don't use it, though, and I don't feel like I'm missing that much.

BTW, you don't mention what actually does make R better than Python: lazy evaluation allowing something close to syntactical macros. You'll never get a magrittr or a dplyr in Python.