> With a notebook, you get the chance to load the data, view it, clean it where needed, view it again, analyze it, model it and do anything else you need to it.

In a good data-oriented IDE like RStudio you get to do all of those things and write code which can be saved as plain text and can be version controlled well under git which you can't do well with Jupyter.

R folks have to be the best indicator in this case because they have access to a good IDE and they have good support for Jupyter. Their use is overwhelmingly in plain text files in RStudio, a small portion of rmarkdown notebooks and pretty much no one user R in Jupyter.