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ggplot2: Elegant Graphics for Data Analysis (Use R!), by Hadley Wickham
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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
- Sales Rank: #28844 in Books
- Published on: 2016-06-16
- Released on: 2016-06-16
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .65" w x 6.10" l, .0 pounds
- Binding: Paperback
- 260 pages
From the Back Cover
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 plotThis 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. �New to this edition:* 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
About the Author
Hadley Wickham is �Chief Scientist at RStudio and a member of the R Foundation. He builds tools (both computational and cognitive) that make data science easier, faster, and more fun. His work includes packages for data science (ggplot2, dplyr, tidyr), data ingest (readr, readxl, haven), and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and frequent speaker promoting the use of R for data science.�
Carson Sievert is a PhD student in the Department of Statistics at Iowa State University. His work includes R packages for acquiring data from the Web (pitchRx, bbscrapeR, XML2R), designing interactive Web graphics (animint, plotly), and visualizations for exploring statistical models (LDAvis).�
Most helpful customer reviews
6 of 6 people found the following review helpful.
2nd Ed: only edition. Great introduction for beginners and a great resource for advanced users.
By Brandon Hurr
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.
0 of 0 people found the following review helpful.
Writing code that makes pictures
By Ashley
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.
1 of 1 people found the following review helpful.
I'm a middle level user of R, unfamiliar with ...
By Andrew Jennings
I'm a middle level user of R, unfamiliar with the plotting system. This book serves two purposes. It gives a deep understanding of the architecture of ggplot2, so that you will understand it thoroughly. It also gives heaps of examples, so you flip through until you find the one you want to replicate.
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