I’m obsessed with how to structure a data science project. The time I spend worrying about project structure would be better spent on actually writing code. Here’s my preferred R workflow, and a few notes on Python as well. The R package workflow In R, the package is “the fundamental unit of shareable code”. At rstudio::conf 2020, Hadley gave a rule of thumb for when to create a package, which I’ll paraphrase: “When you copy and paste a block of code three times, make a function.
