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Garrett 2015-07-29 20:20:10 -04:00
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# R for Data Science
This is the book site for __"R for data science"__. 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, visualizing, and exploring data.
This is the book site for __"R for data science"__. 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, visualizing, and exploring data. (__R for Data Science__ was formally called __Data Science with R__ in __Hands-On Programming with R__)
To be published by O'Reilly in July 2016.
__R for Data Science__ is the book that Garrett called __Data Science with R__ in
__Hands-On Programming with R__.
<img src="cover.png" width="250" height="328" alt="Cover image" />
## Table of contents

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# Tidy data
> "Tidy datasets are all alike but every messy dataset is messy in its
> own way." – Hadley Wickham