[kristofferg]

You are right - the language itself can be a bit messy. R’s advantage is the massive amount of packages available. Almost no matter what niche problem you are trying to solve - someone probably made a package for it. And if not all the functionality is there: you can just add.

[wdkrnls]

Nope. R's advantage is that the language is extremely expressive and makes many things about it's implementation extremely transparent to it's users. The huge package count for a niche language is a direct result of that.

[nauman_wah]

200% agreed. I switched from python to R for data science machine learning and data visualization and found that python is far behind . I am able to generate and test and make machine learning models easily and in standardised manner using its tidymodels libraries while I am unable to generate models in python scikit-learn etc libraries