Why I use R for Data Science – An Ode to R

September 18, 2017
By

(This article was first published on Shirin's playgRound, and kindly contributed to R-bloggers)

I have written a blog post about why I love R and prefer it to other languages. The post is on my new site, but since it isn’t on R-bloggers yet I am also posting the link here:

Working in Data Science, I often feel like I have to justify using R over Python. And while I do use Python for running scripts in production, I am much more comfortable with the R environment. Basically, whenever I can, I use R for prototyping, testing, visualizing and teaching. But because personal gut-feeling preference isn’t a very good reason to give to (scientifically minded) people, I’ve thought a lot about the pros and cons of using R. This is what I came up with why I still prefer R.

I can’t stress enough how much I appreciate all the people who are involved in the R-community; who write packages, tutorials, blogs, who share information, provide support and who think about how to make data analysis easy, more convenient and – dare I say – fun!

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