From 8e77cbbc92cc27bb526da61966b07207e6b6b5f6 Mon Sep 17 00:00:00 2001 From: hadley Date: Tue, 8 Dec 2015 05:49:02 -0600 Subject: [PATCH] Use markdown em-dash --- index.rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.rmd b/index.rmd index dd78a38..74da0b0 100644 --- a/index.rmd +++ b/index.rmd @@ -6,7 +6,7 @@ output: bookdown::html_chapter # 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. (__R for Data Science__ was formally called __Data Science with R__ in __Hands-On Programming with R__) +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.