R Graphics Cookbook: Practical Recipes for Visualizing Data 2nd Edition

by Winston Chang (Author)

25 ratings

ISBN-13: 978-1491978603

ISBN-10: 1491978600

Why is ISBN important?

Have one to sell?

Sell on Amazon

Share <Embed>

Due Date: Dec 15, 2020 Rental Details

FREE return shipping at the end of the semester.
Access codes and supplements are not guaranteed with rentals.

In Stock. Rented from Amazon Warehouse , Fulfilled by Amazon

This item cannot be shipped to your selected delivery location. Please choose a different delivery location.

List Price: $69.99
Save:$39.57(57%)

Deliver to Canada

Add to Cart

Used: Like New | Details

Sold by ---SuperBookDeals

Access codes and supplements are not guaranteed with used items.

5 used from $65.21

+ $24.99 shipping

Deliver to Canada

In Stock.

Ships from and sold by Amazon.com.

Available at a lower price from other sellers that may not offer free Prime shipping.

Arrives: Oct 23 - Nov 19

List Price: $69.99

Save: $9.17 (13%)

17 new from $60.82

+ $7.98 shipping

Deliver to Canada

Available at a lower price from other sellers that may not offer free Prime shipping.

This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.

Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You’ll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you’re ready to get started with this easy-to-use reference.

Use R’s default graphics for quick exploration of data
Create a variety of bar graphs, line graphs, and scatter plots
Summarize data distributions with histograms, density curves, box plots, and more
Provide annotations to help viewers interpret data
Control the overall appearance of graphics
Explore options for using colors in plots
Create network graphs, heat maps, and 3D scatter plots
Get your data into shape using packages from the tidyverse

Customers who viewed this item also viewed

Page 1 of 1 Start overPage 1 of 1

This shopping feature will continue to load items when the Enter key is pressed. In order to navigate out of this carousel please use your heading shortcut key to navigate to the next or previous heading.

Hadley Wickham

621

in Mathematical & Statistical…
Paperback
68 offers from $25.99
JD Long

42

Paperback
$45.66
Hadley Wickham

72

Paperback
$39.99
Only 9 left in stock - order soon.
Garrett Grolemund

87

Paperback
$26.49
Winston Chang

128

Paperback
21 offers from $13.35
Kieran Healy

90

Paperback
$38.00
Only 15 left in stock (more on the way).

Customers who bought this item also bought

Page 1 of 1 Start overPage 1 of 1

JD Long

42

Paperback
$45.66
Hadley Wickham

621

in Mathematical & Statistical…
Paperback
68 offers from $25.99
Hadley Wickham

72

Paperback
$39.99
Only 9 left in stock - order soon.
Garrett Grolemund

87

Paperback
$26.49
Hadley Wickham

55

Paperback
$46.27
Yihui Xie

16

Paperback
$36.30

Special offers and product promotions

Amazon Business : For business-only pricing, quantity discounts and FREE Shipping. Register a free business account

From the Publisher

From the Preface

The goal of this book is to help you understand your data by visualizing it, and to help you convey that understanding to others. You can think of data analysis as the process of transforming raw data into ideas in somebody’s mind. One of the key techniques for doing this is to create visualizations of the data. Our brains have very highly developed visual pattern detection systems, and data visualizations are a way to efficiently use those visual systems to get quantitative information into a person’s mind.

Each recipe in this book lists a problem and a solution. In most cases, the solutions I offer aren’t the only way to do things in R, but they are, in my opinion, the best way. One of the reasons for R’s popularity is that there are many available add-on packages, each of which provides some functionality for R. There are many packages for visualizing data in R, but this book primarily uses ggplot2.

This book isn’t meant to be a comprehensive manual of all the different ways of creating data visualizations in R, but hopefully it will help you figure out how to make the graphics you have in mind. Or, if you’re not sure what you want to make, browsing its pages may give you some ideas about what’s possible.

Recipes

This book is intended for readers who have at least a basic understanding of R. The recipes in this book will show you how to do specific tasks. I’ve tried to use examples that are simple, so that you can understand how they work and transfer the solutions over to your own problems.

About the Author

Winston Chang is a software engineer at RStudio, where he works on data visualization and software development tools for R. He has a Ph.D. in Psychology from Northwestern University, and created the Cookbook for R website, which contains recipes for common tasks in R.

Product details

Item Weight : 2.13 pounds
Paperback : 444 pages
ISBN-10 : 1491978600
ISBN-13 : 978-1491978603
Product Dimensions : 6.7 x 1 x 9.1 inches
Publisher : O'Reilly Media; 2nd Edition (November 30, 2018)
Language: : English

Best Sellers Rank: #67,511 in Books (See Top 100 in Books)
- #30 in Data Modeling & Design (Books)
- #35 in Data Processing
- #36 in Statistics (Books)

Customer Reviews:
25 ratings

Be the first video

Your name here

Customer reviews

5 star		75%
4 star		14%
3 star		6%
2 star		6%
1 star 0% (0%)		0%

How are ratings calculated?

Top reviews from the United States

There was a problem filtering reviews right now. Please try again later.

R. J. Hunter

Clear easy to follow examples of a huge range of graphs for both beginners & experts

Reviewed in the United States on March 2, 2019

Verified Purchase

If you want to create great graphs using 'R' then this is the book you need. There are clear and easy to follow recipes for scatter plots, box plots, line graphs, bar graphs, histograms, function curves, dot plots, frequency polygons, heat maps, dendrograms, and many more - including a selection of 3D graphs. There are chapters on how to enhance your graphs - controlling axes, annotations, legends, etc. Also included is all the information you should need on how to manipulate your data.

Basic versions of each type are followed by step by guides on making more sophisticated versions. Using bar graphs as an example, the basic version is followed by instructions on how to group bars, use colours, make a stacked bar graph, adjust bar width and height, and so on.

I have had a copy of the first edition for several years so the fact that I've bought the second edition should give you an idea of how highly I rate it. The chapter headings of the 2nd ed are the same as the first and there are about 30 more pages, so the changes are not radical. For me I think it was worth upgrading but I don't know if it would be so for everyone.

2 people found this helpful

Helpful

Comment

Rutrut

Tree hugger

Reviewed in the United States on February 8, 2020

Verified Purchase

I like the format and it’s easy to follow. The very big downside is that a lot of my data is in a tree structure. This book has no Sankey, icicles, or sun bursts. It has directed nodes, but not explicitly for trees. It does have dendrograms though, so there’s that. I think this book will streamline my visualization projects considerably.

One person found this helpful

Helpful

Comment

Nicholas Broussard

Perfect for New Data Analysts

Reviewed in the United States on August 30, 2019

Verified Purchase

I don't know where I'd be without this book. It's guided me along the path of analytics through the first three months of my new job. Before this book I was searching frantically on Google for "how do I... in ggplot" or "how do I make a bar chart do..." or "how do I reorder...", but now everything's in one place. The authors did a great job keeping things simple. Just right for someone starting off.

Helpful

Comment

Matt

This is the definitive guide to R graphics and one of the most well written tech manuals.

Reviewed in the United States on April 26, 2020

Verified Purchase

Great technical book and extremely well written. In fact it is one of the best in that regard and I have read a ton of them. This is my Bible of R Graphics.

One knock would be that there could be exercise included in the book.

Helpful

Comment

Oleksii

Great "everything in one" book for building graphics in R

Reviewed in the United States on November 2, 2019

Verified Purchase

Covers everything that 99% of R for graphics users may possibly need. Shows colored output of all the functions. Book is structured around "needs" and "issues" that may arise when using R for graphics, rather than based on chapters like a classic study book.

Helpful

Comment

Top reviews from other countries

Translate all reviews to English

Gutes Nachschlagewerk

Reviewed in Germany on July 22, 2019

Verified Purchase

Sehr gutes Buch. Verwende ich als Nachschlagewerk - man sollte Base-R aber schon gut können.

Translate review to English

Amazon Customer

Good, got it quick

Reviewed in Canada on September 30, 2020

Verified Purchase

Good reference book

See all reviews

Pages with related products. See and discover other items: Graphic Design Books

R Graphics Cookbook: Practical Recipes for Visualizing Data 2nd Edition

Customers who viewed this item also viewed

Customers who bought this item also bought

Special offers and product promotions