Prime hints for running a data project in R

I’ve been asked more and more for hints and best practices when working with R. It can be a daunting task, depending on how deep or specialised you want to be. So I tried to keep it as balanced as I could and mentioned point that definitely helped me in the last couple of years. Finally, there’s lots (and I mean, LOTS) of good advice out there that you should definitely check out - see some examples in the Quick Reference section below.

End of Year thoughts

Sometimes it’s worth making New Year resolutions… A year ago I made one for 2017 to start an R blog using RMarkdown and Jekyll static sites. At the time, I didn’t even know git that well, had no clue what static sites are and was mostly oblivious to the rich and vibrant R community on Twitter. Fast-forward one year and… the picture couldn’t be any more different! I’d like to share my thoughts on writing this blog (and data science blog in general) and how it taught me about getting stuff done.