ggplot2: Elegant Graphics for Data Analysis (Use R!) [Paperback] Author: Hadley Wickham | Language: English | ISBN:
0387981403 | Format: PDF, EPUB
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Provides both rich theory and powerful applications
Figures are accompanied by code required to produce them
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- Series: Use R!
- Paperback: 213 pages
- Publisher: Springer; 1st ed. 2009. Corr. 3rd printing 2010 edition (August 7, 2009)
- Language: English
- ISBN-10: 0387981403
- ISBN-13: 978-0387981406
- Product Dimensions: 9 x 6.1 x 0.6 inches
- Shipping Weight: 13.6 ounces (View shipping rates and policies)
ggplot2 is an R package for creating graphs. If you have used R, you may have observed that you can control almost all aspects of a graph you create. This flexibility can come at a price in having to be familiar with several options and syntax that is not always intuitive. ggplot2 overcomes this hurdle because it is based on a grammar. After one invests the time to learn this grammar, one can create customizable plots with default settings that are aesthetically pleasing. ggplot2 automatically takes care of details such as legends. This book covers ggplot2 plotting in a clear manner. It is filled with examples, simple and complex, and all code is available from the author's website. It covers the logic of the grammar, basic plots, combining plots, how to represent subsets, and even how to format data so that it can be plotted. I highly recommend this book. You will produce plots exactly as you want them (with ease), and learn about different ways to display your data. Be sure to invest some time up front to develop an understanding rather than cutting and pasting code. This investment will pay off.
By Sunny
This book is a practical overview of ggplot2, a new graphics package available for R - and I would argue the best statistical graphics package for any language. Why? Because it allows users to create gorgeous, elegant graphics with a minimum of effort.
As Wickham details in this lucid book, ggplot2 is based on a grammar of graphics, which conceives of statistical plots not as fixed chart typologies (bar, line, pie) to be filled with data, but as graphical compositions built up from component parts (scales, coordinate systems, geometric objects).
Before embarking on several chapters describing how to control various elements of the grammar, Wickham dives in (with Chapter 2, "Getting started with qplot") and guides users on how to rapidly create graphics with the qplot (for "quick plot").
Two elements struck me in reading this book and beginning to use ggplot2:
(i) It possesses excellent defaults. Wickham has put an enormous amount of thought into the default aesthetics. From light gray plotting backgrounds to monochromatically spaced color palettes, ggplot2 builds on decades of work done in the information visualization space.
(ii) It possesses an intuitive syntax. Creating graphics in R often requires specifying an enormous number of parameters. ggplot2's syntax - the ability to "build up" a graph from layer by layer - allows for an intuitive way to control complexity.
If you are serious about statistical graphics -- and even if you are new to R -- this book is an essential volume.
By M. Driscoll
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