ggplot2: Elegant Graphics for Data Analysis (Use R!) 2nd ed. 2016 Edition

by Hadley Wickham (Author)

72 ratings

ISBN-13: 978-3319242750

ISBN-10: 331924275X

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This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to:

produce handsome, publication-quality plots with automatic legends created from the plot specification

superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales

add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized 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 a 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 data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). 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.

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Editorial Reviews

Review

“The versatility and efficiency of ggplot have led to the development of ggplot2 and this book which overviews the standard use and presentation secrets of functions developed in the last 5 years. … The book is written in an accessible manner and it is suitable for undergraduates, postgraduates and researchers with some R experience. All theoretical concepts are accompanied by code making it easy to learn by reproducing the examples.” (Irina Ioana Mohorianu, zbMATH 1397.62006, 2018)

“The book is an excellent and very comprehensive manual of … one of the most popular R packages. It is currently the only book describing ggplot2 in such depth. The book contains many examples and is very nicely illustrated, demonstrating the strength of the package.” (Klaus Galensa, Computing Reviews, May, 2017)

From the Back Cover

* produce handsome, publication-quality plots with automatic legends created from the plot specification

* superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales

* add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized 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 a graph from a visual perspective, thinking about how each component of the data is represented on the final plot

* Brings the book up-to-date with ggplot2 1.0, including major updates to the theme system

* New scales, stats and geoms added throughout

* Additional practice exercises

* A revised introduction that focuses on ggplot() instead of qplot()

* Updated chapters on data and modeling using tidyr, dplyr and broom

Item Weight : 9.3 pounds
Paperback : 276 pages
ISBN-10 : 331924275X
ISBN-13 : 978-3319242750
Product Dimensions : 6.1 x 0.65 x 9.25 inches
Publisher : Springer; 2nd ed. 2016 Edition (June 16, 2016)
Language: : English

Best Sellers Rank: #136,007 in Books (See Top 100 in Books)
- #17 in Graph Theory (Books)
- #45 in Mathematical & Statistical Software
- #65 in Computer Graphics

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DGB

Extremely helpful but a bit too clever for beginners

Reviewed in the United States on October 22, 2018

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I've been working with this book for a couple of months now -- lots of tabs and highlights. It is amazingly comprehensive for it's length but if you are pretty new to ggplot, this is a challenging introduction in the following way: the examples start at a pretty complex level of aesthetic combos and they are a bit too clever. As an example, things like the geom 'label' uses a dataframe named 'label' to place a label of 'label' on a plot -- cute but not helpful to the reader. This happens too much for beginners. It's like someone who is excellent in algebra naming all the different variables in an equation "x" -- they can keep track easily in their head because they breathe algebra and it saves them the trouble of thinking up a bunch of different variable names that they don't need for clarity. But it makes it hard going for a newbie trying to learn the pieces. In this way and others, many portions of the book are like a second-level of ggplot use; it's easier to learn the basics on one of the websites or one of the other cookbooks, then come here for clever ways to combine lots of things into a couple of lines of code. Sometimes Wickham gives the impression of wanting to teach the material but can't avoid opportunities to show some cleverness -- that's great for experienced people looking for tricks but it makes this book initially a bit frustrating at points for some users (like me). I still use it a lot but it's not a great reference for real basics. This is in part because the indexed refs to geoms are to an initial intro of the term but if you want to see how to use that geom beyond the single initial use, you need to read the whole book because the specifics are embedded in many other examples. This is no doubt on purpose but, again, be aware it's not a very good reference-type book.

16 people found this helpful

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Brandon Hurr

2nd Ed: only edition. Great introduction for beginners and a great resource for advanced users.

Reviewed in the United States on July 17, 2016

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This review is for the 2nd Edition of the book. ggplot2 has changed a lot in recent years and the old book is no longer useful.
Hadley has rewritten the book on ggplot2 completely and utilized the examples and questions from the communities on StackOverflow and GoogleGroups as a guide. The book starts off gentle, but does assume you have basic knowledge of R (installation of packages, some base functions, loading libraries and simple syntax). The components of the grammar are brought in piecewise and in a logical way that should help early learners and refresh those of us who have used the package for a while. There are tons of code examples which are colored coded for legibility and syntax reasons. Each block of code is followed by the output from that code, which helps the user understand what is expected. At the end of major sections, there are exercises which not only help you understand what you've learned, but also get you thinking about how you would analyze a similar dataset. This is really important because if you do these exercises, you will be well prepared to implement the visualization strategies herein on any dataset.
Chapters 9-11 introduce auxiliary packages in the tidyverse (formerly "Hadleyverse") including dplyr, tidyr, and broom, which are used to discuss an entire data analysis pipeline. This sections does a good job of introducing these tools and what you would use them for. If you're interested in digging further into these packages, Hadley has been writing another book called R for Data Science which will hopefully be on sale in late 2016. An early version can be found here: [...]

The last chapter is about programming with ggplot2. Hadley introduces some very useful, more advanced methods for plotting with ggplot2 from creating your own functions to using standard evaluation. A very useful introduction for more advanced users.
Overall, the book is a gentle and thorough introduction to the ggplot2 package for beginners and a very useful references to all of the updates introduced in the last few years since the last ggplot book (Winston Chang's R Graphics Cookbook) R Graphics Cookbook .

18 people found this helpful

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Dan

Up to date ggplot2!!

Reviewed in the United States on July 16, 2016

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This book 2016 version of the 2009 book and is really good. Great examples! Updated to the current version of R so all the examples and references are to functions and packages in the current R version that I am using today... which makes it much easier to follow.

Writing style is very clear. Examples of each concept along with review questions that really make you think about what has just been covered rather than just regurgitating facts.

Overall style is concept, some details, and examples.

Sometimes I wish Hadley would use more of an primitive breakdown approach to examples. For example one example starts with using loess to build some data for an example. I'd rather just see some plain data rather than a building some data from line fitting. That would make it easer to see how data flows through an example. I appreciate that what Hadley ends up with is real world data, but I, and this may just be me, I like things explained at a more primitive level.

But in any case this book is not just showing you some neat plots, even though it has many, it is giving you the fundamentals you need to be able to implement from scratch the plots you think up in your head to point out statistical features in your data.

8 people found this helpful

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Ashley

Writing code that makes pictures

Reviewed in the United States on January 24, 2017

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It's hard to call yourself a statastician or data scientist without strong data visualization skills. Tools like Tableau or Microsoft office can only take you so far. ggplot is an excellent option that allows you to make highly customizable graphs at the cost of a slightly increased learning curve. As a statistics graduate student I found this book to be an excellent introduction to this R package and found the 2nd edition to be very up to date. It is by no means an exhaustive reference, but that makes the book readable and easy to follow. It provides just enough information to get you started and to point out major features and pitfalls, but there is no excess of words. I also appreciated the writer's familiarity with Tufte's philosophy. I highly recommend this book to anyone with at least a basic familiarity with R who looking to up their visualizations skills.

4 people found this helpful

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Top reviews from other countries

PWeale

Useful.

Reviewed in the United Kingdom on September 29, 2019

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Handy for ggplot

Pekka Kohonen

Required reading!

Reviewed in the United Kingdom on November 13, 2016

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Required reading for anyone interested in visualizing data with R! Also includes new material on data manipulation/wrangling and a bit on modelling and model visualization.

One person found this helpful

Dr Ged

Five Stars

Reviewed in the United Kingdom on July 24, 2018

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Supplied as described

Helena

Great

Reviewed in the United Kingdom on March 2, 2019

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A great book!

Edmund Esterbauer

Poorly maintained book website and lots of errors and dated data frames.

Reviewed in Australia on September 5, 2018

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The code used is often out of date or simply doesn't work. The section on maps uses old data frames that no longer exist. To access them you need to search archives to get the code to run. Some sections of the book are excellent. The website is not properly maintained and generally though a useful text if you are prepared to edit and alter the code and databases. I think everyone is waiting for R Graphics Cookbook by Chang for a better text covering graphics. If you can wait until December, this may be a better text.

2 people found this helpful

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