This is the website for
R for Data Science. This book will teach you how to do data science with R: Youll 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, youll learn how to clean data and draw plotsand 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. Youll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. Youll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.
This website is [and will always be] free to use, and is licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. If youd like a physical copy of the book, you can order it from amazon; it was published by OReilly in January 2017. If youd like to give back please make a donation to Kākāpō Recovery: the kākāpō [which appears on the cover of R4DS] is a critically endangered native NZ parrot; there are only 213 left.
Please note that R4DS uses a Contributor Code of Conduct. By contributing to this book, you agree to abide by its terms.
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