The former president shared the works he found particularly thought-provoking or inspiring this year in a lengthy Facebook post.
This October, I gave a talk at HashiConf 2018 where I shared 5 key lessons we learned at Gruntwork while creating and maintaining a library of over 300,000 lines of infrastructure code that’s used in…
This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.
3D perspective plots for ggplot2