r4ds/index.rmd

---
knit: "bookdown::render_book"
title: "R for Data Science"
author: ["Garrett Grolemund", "Hadley Wickham"]
description: "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."
url: 'http\://r4ds.had.co.nz/'
github-repo: hadley/r4ds
twitter-handle: hadley
cover-image: cover.png
site: bookdown::bookdown_site
documentclass: book
---

# Welcome {-}

This is the website 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. 

To be published by O'Reilly in late 2016. 

<img src="cover.png" width="250" height="328" alt="Cover image" />

(R for Data Science was formerly called Data Science with R in Hands-On Programming with R)

This work is licensed under the [Creative Commons Attribution-NonCommercial-NoDerivs 3.0](http://creativecommons.org/licenses/by-nc-nd/3.0/us/) United States License.
First commit 2015-07-28 05:52:19 +08:00			`---`
Local bookdown working 2015-12-12 03:28:10 +08:00			`knit: "bookdown::render_book"`
Add book title 2016-03-02 21:11:46 +08:00			`title: "R for Data Science"`
Add author and description to YAML 2016-04-02 00:31:57 +08:00			`author: ["Garrett Grolemund", "Hadley Wickham"]`
			description: "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."
And add url and github repo info 2016-04-02 00:55:02 +08:00			`url: 'http\://r4ds.had.co.nz/'`
Tweak repo; add twitter handle 2016-04-02 03:08:28 +08:00			`github-repo: hadley/r4ds`
			`twitter-handle: hadley`
Also add the cover image 2016-04-02 00:34:28 +08:00			`cover-image: cover.png`
Use new RStudio book building tools 2016-04-21 21:18:10 +08:00			`site: bookdown::bookdown_site`
Tell pdf_book that this is a book 2016-04-23 04:28:06 +08:00			`documentclass: book`
First commit 2015-07-28 05:52:19 +08:00			`---`

Use new part headings 2016-04-21 21:01:34 +08:00			`# Welcome {-}`
First commit 2015-07-28 05:52:19 +08:00
Tweak appearance of index 2016-04-21 21:07:47 +08:00			This is the website 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.
Add basic description 2015-07-29 03:17:43 +08:00
Tweak appearance of index 2016-04-21 21:07:47 +08:00			`To be published by O'Reilly in late 2016.`
First commit 2015-07-28 05:52:19 +08:00
			`<img src="cover.png" width="250" height="328" alt="Cover image" />`
Tweak appearance of index 2016-04-21 21:07:47 +08:00
			`(R for Data Science was formerly called Data Science with R in Hands-On Programming with R)`
Add link to license 2016-04-27 15:00:20 +08:00
			`This work is licensed under the [Creative Commons Attribution-NonCommercial-NoDerivs 3.0](http://creativecommons.org/licenses/by-nc-nd/3.0/us/) United States License.`