ggplot2: Elegant Graphics for Data Analysis (Use R!)

ISBN-13: 9783319242750

ISBN-10: 331924275X

Author: Hadley Wickham, Carson Sievert

Edition: 2nd ed. 2016

Publication date:
Paperback 276 pages
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Acknowledged author Hadley Wickham wrote ggplot2: Elegant Graphics for Data Analysis (Use R!) comprising 276 pages back in 2016. Textbook and etextbook are published under ISBN 331924275X and 9783319242750. Since then ggplot2: Elegant Graphics for Data Analysis (Use R!) textbook was available to sell back to BooksRun online for the top buyback price of $14.59 or rent at the marketplace.


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 specificationsuperimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scalesadd customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regressionsave any ggplot2 plot (or part thereof) for later modification or reusecreate custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plotsapproach 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.