You can also use R in Jupyterlab these days and while its quite different from RStudio it is quite practical to conduct data exploration.
Re:A newcomer’s (angry) guide to R
by angry_octet on Thursday June 14, 2018 @09:26AM
(#17311480)
Anaconda and Jupyter is a much more friendly environment than straight writing .py files, much like r studio. It lacks the integrated debugging features, though vscode does provide some rudimentary assistance. I'd say it's superior overall, especially in regard to getting help and documentation.
I think R-Studio (an R based IDE that turns it kinda into a more excel like experience) where you can inspect the data in memory (including matrix data) and graph making is where it really helps bring people into the R language. And with a set of instructions anyone can go load the analysis packages and do their data analysis.
Compare this to python, where they have to go the unix shell set up the environment, load the libraries. When they come back reset everything and get back to where they started.