Introduction Trials and tribulations The solution Introduction Drama, intrigue, arrogance, dashed hopes, rock-bottom, perseverance, and eventual triumph, this post has it all! It starts with me watching Rachael Tatman’s recent live-coding video, and ends with a thrilling race-to-the-bottom between two pathetically slow functions. What lies ahead: many a WTF moment, lots of trial and error, and some useful tidyverse data wrangling tips.
Rachael Tatman is a data scientist at Kaggle, and does these awesome live coding sessions every Friday.
The more I use the tidyverse in my R coding, the more I ask myself: does Hadley Wickham hate dogs, or does he just need help with dog-related package names? See, of the packages Hadley has developed for the tidyverse, there are two that have cat-inspired names (forcats and purrr) but zero that pay homage to man’s best friend. It’s not like doggo names are hard to think of for R packages it took me 30 seconds to come up with baRk and woofR**.