What's Your Favorite Data Science Technique?

i like thinking about work floe a lot, which as, i think, a discovery i made about myself when i decided to take my teaching very seriously. It's not inventing new theorems but just like recognizing patterns that recur in data analysis and giving them a name. And then it leads naturally to helping develop packages, either packages that i own or providing sort of constant drip of input on other packages. But none of that matters if you can't get your data in in the first place. I'm happy to write glue so that people don't have to figure out how to read x l s files into our package. Because if you can’t get the data