This repository is where I keep code I write while working through Hadley Wickham's book, R for Data Science. I followed the excellent guidance laid out by Jenny Bryan in the wonderful Happy Git with R resource, so several of the early commits to this repository are results of trying out various sections from there, rather than R4ds.
I have a personal goal to spend 4 hours a week with this book to start out 2021. If you have somehow stumbled upon this repo, I hope you find something useful! At the moment my plan is work through the book on Mondays and Wednesdays for 2 hours twice a week, but we'll see how well those days of the week pan out. I'm going to update this README with my current progress after each study session to aid my own accountability.
25 January: Been a crazy week, but I was able to sit down and get through chapter 4 tonight. I'm merging those new updates to main, but as with chapter 3 I'll be keeping the explore branch open for now.
19 January: Finished chapter 3! 🎉🎉🎉 My updates through chapter 3 have been merged with main. I am keeping the explore branch open though as I continue to work through the other chapters of the Explore section of the book.
13 January: Finished through the exercises in 3.7. Took my time with the content on statistical transformations since stats are one area of ggplot I have kind of ignored up to this point of my life.
11 January: Finished up exercises through section 3.5. Really liked the trick of using something like color = displ < 5 in aes(). Check out the explore branch to see my most up-to-date progress.
8 January: Got through the exercises for section 3.2. To see my current work check out the explore branch of this repo.
4 January: Verified git and R Studio were playing nice, initialized this repository, learned about rendering R scripts as .md reports 🤯, and read the general introduction to the book.