ggplot2: Elegant Graphics for Data Analysis (Use R!) 1st ed. 2009. Corr. 3rd printing 2010 Edition

by Hadley Wickham (Author)

67 ratings

ISBN-13: 978-0387981406

ISBN-10: 0387981403

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Editorial Reviews

From the Back Cover

This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to:

produce handsome, publication-quality plots, with automatic legends created from the plot specification
superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales
add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression
save any ggplot2 plot (or part thereof) for later modification or reuse
create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots
approach your graph from a visual perspective, thinking about how each component of the data is represented on the final plot

This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page.

Hadley Wickham is an Assistant Professor of Statistics at Rice University, and is interested in developing computational and cognitive tools for making data preparation, visualization, and analysis easier. He has developed 15 R packages and in 2006 he won the John Chambers Award for Statistical Computing for his work on the ggplot and reshape R packages.

Product details

Item Weight : 14.2 ounces
Paperback : 213 pages
ISBN-10 : 0387981403
ISBN-13 : 978-0387981406
Product Dimensions : 6.1 x 0.51 x 9.25 inches
Publisher : Springer; 1st ed. 2009. Corr. 3rd printing 2010 Edition (February 22, 2010)
Language: : English

Best Sellers Rank: #1,223,694 in Books (See Top 100 in Books)
- #162 in Graph Theory (Books)
- #580 in Mathematical & Statistical Software
- #947 in Computer Graphics

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Sitting in Seattle

Must-have reference for R graphics

Reviewed in the United States on March 13, 2013

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If you're an R user you probably know about ggplot2. (If not, try it. It's my and many people's favorite way to do plotting in R, with beautiful and flexible plots.)

And if you use ggplot2 then you need this book. Yes, much of the material is available online, including even the PDF. Yes, there are extensive help files. Yes, you will still have to google lots of things to find answers. Some of the plot options have changed since the book was published but they still work (with helpful messages about how to update them).

But: the book is so much faster to flip through than a web search, you can mark it up, it's nicely printed in color, you will discover things serendipitously while browsing it, and buying it will support the market for such high quality texts. I'm delighted to have my own copy and, just like joining the local public radio, am proud to pay my dues.

The content of the book itself starts with a basic tutorial on quick plots, and then progresses to the more systematic "grammar of graphics" types, concluding with lots of reference material to tricky things like symbols and plot options. It's great to flip through it until I find that "I want a plot like that" and see the code right there. My only complaint is that I wish it had more on the grammar part; sometime I will need to buy and read Wilkinson The Grammar of Graphics (Statistics and Computing) , too (not a replacement for this book).

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L. Lipsey

Still a great package and highly worth learning - but the text is getting quite out of date.

Reviewed in the United States on February 7, 2014

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ggplot2 is a terrific package and you ought to learn it. Especially if you have no prior experience with R graphics packages - learn this extremely useful and general one first! You're then likely not to need others.

However it must be said that this text is starting to cry out for a new edition. Many - perhaps 30% - of the code examples no longer produce the output seen on the page. Some require detective work to find missing packages a beginning user won't likely have installed. And quite a few simply do not function at all.

Frustratingly, the associated book website with example code has also not been updated. And if anyone has complied in one place functioning rewrites of the book's non-working examples, I haven't managed to find it. Readers must frequently either decide "I won't use that anyway" or turn to google for help.

Update: I have now also purchased Winston Chang's "R Graphics Cookbook," which Amazon is probably advertising to you somewhere on this page. It's a ggplot2 book, essentially, with a bit of stuff from other packages thrown in at the end. It is much more up-to-date than Wickham's book and better organized to serve as a reference, so it has become my go-to. There is a reason to buy both books - Chang doesn't cover the theory or grammar of graphics really at all - but if you are only going to buy one book, IMO you should buy Chang's.

16 people found this helpful

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steve_oakland

Excellent

Reviewed in the United States on April 24, 2012

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I'm still working through this book as I gain more experience in R. However, even as someone new to R I found this immediately useful and was able to create graphs and plots that are exceedingly difficult using the base graphics in R. I rarely find a use for the base graphics package or lattice packages anymore: ggplot2 makes better looking graphics in an intuitive way, and learning ggplot2 has improved my productivity and kept me from struggling to make detailed graphics with legacy packages in R.

I purchased the Kindle edition. You'll need to view some of the examples and figures in color to fully understand them, so be prepared to either use a color Kindle Fire or view some select pages on your computer using the Kindle application. Occasionally, it isn't entirely obvious how to associate figures and examples to the main body text as the layout in the Kindle edition seems off. For example, some code and it's associated figure will be several "pages" away from the text describing the example code and figure. For this reason, it may be worthwhile for others new to R to purchase the paperback edition. But the portability of the Kindle edition makes this a nice reference to have accessible in several places at once.

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Joshua A. Shapiro

Nice resource, but already out of date

Reviewed in the United States on March 5, 2012

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ggplot2 is a great plotting packaged for R, and this is a good reference for the system, written by the author of the package. It does a good job of explaining the grammar of graphics on which the plotting system is based, and how that is implemented in the R package. While it can takes some time to adapted to a syntax that is very different from the base plotting syntax, the overall flexibility of the system is worth the effort, and the plots it produces are quite beautiful.

Fortunately for users of ggplot2, but unfortunately for my review of this book, the ggplot2 package is still rapidly evolving. Much has already changed since the publication of this book, so there are many parts of the ggplot2 system that are not covered by this book. I do not think there are many places that the code in the book will not work anymore, but there are some significant recent additions that are completely unmentioned. Since most of the important information is available online, it is hard to recommend the book too strongly, as the cost is not insignificant. On the other hand, I am happy to have supported the further development of the ggplot2 package (and other R projects) by whatever portion of the proceeds made it back to Hadley Wickham.

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Mr. C. Street

Not colour - and hence very expensive.

Reviewed in the United Kingdom on April 12, 2016

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Despite this book being meant to be in colour, and the Look Inside feature showing it is in colour, the entire book is printed in black and white on cheap paper. I'm amazed Springer even let such a thing be printed bearing their name - I'm almost wondering if it's a fake.

4 people found this helpful

H Harmsen

Great book, but Amazon will send you a black & white copy

Reviewed in the United Kingdom on July 6, 2012

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ggplot2 is a very powerful R package that will produce high quality graphs. For a book like this, it is essential that it is printed in color. I have seen a PDF of this book and it was indeed in color; however Amazon will send you a black and white copy on cheap paper. The book is therefore greatly overpriced. Some graphs are just one big blurred black mess. Go for the PDF and forget the book version.

16 people found this helpful

Amazon Customer

Amazing graphics for R

Reviewed in the United Kingdom on April 25, 2011

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The graphics that come with the R language are OK, but not great. If you want great graphics you need to get to grips with the Lattice package and also Hadley Wickham's ggplot2. ggplot2 tries to make the production of superb-looking graphics very simple, by good use of defaults and a logical, consistent approach he calls a 'grammar' of graphics. It workss: it produces great graphics in a few simple commands.

5 people found this helpful

Urd Yggradsil

Hard-going

Reviewed in the United Kingdom on August 27, 2013

Verified Purchase

It's a good book but I do find that I need to do a lot of referring to other materials to work out what's going on.

I have also bought the other book recommended on the GGPLOT site ("R Graphics Cookbook") so I'll see how they compare...

Thanos

A very friendly and systematic approach to get you working on the powerful ggplot2 engine.

Reviewed in the United Kingdom on July 5, 2013

Verified Purchase

Gradually taking the reader from the simple to the more elaborated plot building process, this is a book that most R programmers will enjoy and it will provide them the complete design power that ggplot2 supports.

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