RStudio is pretty amazing for interactive statistical work. Also, A lot of open source developers tend to ignore Windows, but the less technical users are on Wi

RStudio is pretty amazing for interactive statistical work. Also, A lot of open source developers tend to ignore Windows, but the less technical users are on Windows, and so proper Windows support is a key win. R's CRAN has a very clean documentation system and the setup for packages ensures that most things work on Windows (Windows CI is required). Also, its non-standard evaluation and associated metaprogramming is very integrated into the language, so you can build very intuitive APIs. Most users wouldn't know how to program what you just did, but that doesn't matter since the workflow for the average R user is "package-user" not "package-developer". So while R does have quite a few downsides, there's a lot that other general-purpose programming languages can pull from it.