R Graphics Cookbook: Practical Recipes for Visualizing Data 1st Edition

4.5 out of 5 stars 146 ratings
Related Text
ISBN-13: 978-1449316952
ISBN-10: 1449316956
Why is ISBN important?
ISBN
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Have one to sell?
<Embed>
Loading your book clubs
There was a problem loading your book clubs. Please try again.
Not in a club? Learn more
Amazon book clubs early access

Join or create book clubs

Choose books together

Track your books
Bring your club to Amazon Book Clubs, start a new book club and invite your friends to join, or find a club that’s right for you for free.
Buy used:
$11.26
Used: Good | Details
Sold by RentU
Condition: Used: Good
Comment: Normal wear and tear from moderate use. May not include supplements.
Access codes and supplements are not guaranteed with used items.
36 used from $7.43
FREE Shipping
Get free shipping
Free 5-8 day shipping within the U.S. when you order $25.00 of eligible items sold or fulfilled by Amazon.
Or get 4-5 business-day shipping on this item for $5.99 . (Prices may vary for AK and HI.)
Learn more about free shipping
on orders over $25.00 shipped by Amazon or get Fast, Free Shipping with Amazon Prime
FREE delivery:
Get free shipping
Free 5-8 day shipping within the U.S. when you order $25.00 of eligible items sold or fulfilled by Amazon.
Or get 4-5 business-day shipping on this item for $5.99 . (Prices may vary for AK and HI.)
Learn more about free shipping
Tuesday, April 20 on orders over $25.00 shipped by Amazon. Details

There is a newer edition of this item:


A new pulse-raising crime thriller
The electrifying sequel to "The Sympathizer" by Viet Viet Thanh Nguyen. Listen now

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
    Apple
  • Android
    Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore
    Android

To get the free app, enter your mobile phone number.

kcpAppSendButton

Special offers and product promotions

Editorial Reviews

Amazon.com Review

Q&A with Winston Chang, author of "R Graphics Cookbook: Practical Recipes for Visualizing Data"

Winston Chang

Q. Why is your book timely?

A. Interest in R for data analysis and visualization has exploded in recent years. In the computer-tech world, computers and networks have made it much easier to gather and organize data, and more and more people have recognized that there's useful information to be found. To illustrate, consider the job "data scientist": this is a job title that didn't even exist five years ago, and now it's one of the hottest tickets on the market.

At the same time, there's been a swell of interest in R in its more traditional setting, in science and engineering. I think there are many reasons for this. One, is that there's a growing recognition outside of the computer-programmer world that learning a little programming can save you a lot of time and reduce errors. Another reason is that the last few years have seen an improvement in the user-friendliness of tools for using R.

So there's a lot of interest in using R for finding information in data, and visualization an essential tool for doing this. Data visualizations can help you understand your data and find patterns when you're in the exploratory phase of data analysis, and they are essential for communicating your findings to others.

Q. What information do you hope that readers of your book will walk away with?

A. As my book is a Cookbook, the primary goal is to efficiently present solutions for visualizing data, without demanding a large investment of time from the reader. For many readers, the goal is to just figure out how to make a particular type of graph and be done with it.

There are others who will want to gain a deeper understanding of how graphing works in R. For these readers, I've written an appendix on the graphing package ggplot2, which is used extensively in the recipes in the book. This appendix explains some of the concepts in the grammar of graphics, and how they relate to structures common to data visualizations in general.

Finally, I hope that readers will find ideas and inspiration for visualizing their data by browsing the pages and looking at the pictures.

Q. What's the most exciting/important thing happening in your space?

A. I'm excited that R is becoming more and more accessible to users who don't primarily identify as programmers. Many scientists, engineers, and data analysts have outgrown programs that provide canned data analysis routines, and they're turning increasingly to R. The growing popularity of R is part of a virtuous circle: as R gains a larger user base, it encourages people to create better educational materials and programming tools for R, which in turn helps to grow the number of R users.

Technology-wise, I'm excited by Shiny, which is a framework for bringing R analyses to the web. (I should mention that this it's part of my job to work on the development of Shiny.) This makes it possible to build interactive applications for data analysis and visualization for users who don't need to know R, or even that the application is backed by R.

About the Author

Winston Chang is a software engineer at RStudio, where he works on data visualization and software development tools for R. He holds a Ph.D. in Psychology from Northwestern University. During his time as a graduate student, he created a website called "Cookbook for R", which contains recipes for handling common tasks in R. In previous lives, he was a philosophy graduate student and a computer programmer.

Product details

  • Publisher : O'Reilly Media; 1st edition (January 22, 2013)
  • Language : English
  • Paperback : 416 pages
  • ISBN-10 : 1449316956
  • ISBN-13 : 978-1449316952
  • Item Weight : 1.45 pounds
  • Dimensions : 7 x 0.9 x 9.19 inches
  • Customer Reviews:
    4.5 out of 5 stars 146 ratings

Customer reviews

4.5 out of 5 stars
4.5 out of 5
146 global ratings
How are ratings calculated?

Top reviews from the United States

Reviewed in the United States on August 31, 2016
Verified Purchase
2 people found this helpful
Report abuse
Reviewed in the United States on September 5, 2015
Verified Purchase
8 people found this helpful
Report abuse
Reviewed in the United States on June 26, 2016
Verified Purchase
2 people found this helpful
Report abuse
Reviewed in the United States on September 5, 2013
Verified Purchase
9 people found this helpful
Report abuse

Top reviews from other countries

Urd Yggradsil
5.0 out of 5 stars GGPLOT2 - How To...
Reviewed in the United Kingdom on October 25, 2013
Verified Purchase
5 people found this helpful
Report abuse
Basil
5.0 out of 5 stars book that teaches at pace is a great way to start.
Reviewed in the United Kingdom on July 27, 2018
Verified Purchase
dantalion13
5.0 out of 5 stars this book is a brilliant way of learning to use this package
Reviewed in the United Kingdom on September 23, 2014
Verified Purchase
J Ferd
5.0 out of 5 stars Five Stars
Reviewed in the United Kingdom on March 19, 2017
Verified Purchase
B Lehnert
5.0 out of 5 stars So verstehe auch ich ggplot2
Reviewed in Germany on February 18, 2015
Verified Purchase
6 people found this helpful
Report abuse