You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. 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. 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. In this book, you will find a practicum of skills for data science. R4DS teaches 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. You may instead want to consult the work-in-progress 2nd edition at this should be complete by early 2023. This is the website for the first edition of “R for Data Science”, published January 2017.
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