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ggplot2: Elegant Graphics for Data Analysis 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 ggplot2: Elegant Graphics for Data Analysis. After reading ggplot2: Elegant Graphics for Data Analysis 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.
- Getting started with qplot
- Mastering the grammar
- Build a plot layer by layer
- Scales, axes and legends
- Polishing your plots for publication
- Manipulating data
- Reducing duplication
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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.
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