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ggplot2

Elegant Graphics for Data Analysis
BuchKartoniert, Paperback
Verkaufsrang16631inMathematik
CHF75.90
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Beschreibung

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 eachcomponent 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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Details

ISBN/GTIN978-3-319-24275-0
ProduktartBuch
EinbandKartoniert, Paperback
Erscheinungsdatum16.06.2016
Auflage2. A.
ReiheUse R!
Seiten260 Seiten
SpracheEnglisch
MasseBreite 155 mm, Höhe 235 mm, Dicke 20 mm
Gewicht4219 g
IllustrationenXVI, 260 p. 232 illus., 140 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Artikel-Nr.23351667
KatalogBuchzentrum
Datenquelle-Nr.18812762
WarengruppeMathematik
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Über den/die AutorIn

Hadley Wickham is Chief Scientist at RStudio and Assistant Professor of Statistics at Rice University. Hadley 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 won the John Chambers Award for Statistical Computing for his work on the ggplot and reshape R packages.
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).