Zum Hauptinhalt springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
ggplot2
Elegant Graphics for Data Analysis
Taschenbuch von Hadley Wickham
Sprache: Englisch

51,45 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 4-7 Werktage

Kategorien:
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 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 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.
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 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.
Über den Autor
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).
Zusammenfassung

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

Inhaltsverzeichnis
Introduction.- Getting Started with ggplot2.- Toolbox.- Mastering the Grammar.- Building a Plot Layer by Layer.- Scales, Axes and Legends.- Positioning.- Themes.- Data Analysis.- Data Transformation.- Modelling for Visualisation.- Programming with ggplot2.- Index.- R Code Index.
Details
Erscheinungsjahr: 2016
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Use R!
Inhalt: xvi
260 S.
92 s/w Illustr.
140 farbige Illustr.
260 p. 232 illus.
140 illus. in color.
ISBN-13: 9783319242750
ISBN-10: 331924275X
Sprache: Englisch
Herstellernummer: 978-3-319-24275-0
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Wickham, Hadley
Auflage: 2nd ed. 2016
Hersteller: Springer International Publishing
Springer International Publishing AG
Use R!
Maße: 235 x 155 x 16 mm
Von/Mit: Hadley Wickham
Erscheinungsdatum: 16.06.2016
Gewicht: 0,423 kg
Artikel-ID: 104281308
Über den Autor
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).
Zusammenfassung

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

Inhaltsverzeichnis
Introduction.- Getting Started with ggplot2.- Toolbox.- Mastering the Grammar.- Building a Plot Layer by Layer.- Scales, Axes and Legends.- Positioning.- Themes.- Data Analysis.- Data Transformation.- Modelling for Visualisation.- Programming with ggplot2.- Index.- R Code Index.
Details
Erscheinungsjahr: 2016
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Use R!
Inhalt: xvi
260 S.
92 s/w Illustr.
140 farbige Illustr.
260 p. 232 illus.
140 illus. in color.
ISBN-13: 9783319242750
ISBN-10: 331924275X
Sprache: Englisch
Herstellernummer: 978-3-319-24275-0
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Wickham, Hadley
Auflage: 2nd ed. 2016
Hersteller: Springer International Publishing
Springer International Publishing AG
Use R!
Maße: 235 x 155 x 16 mm
Von/Mit: Hadley Wickham
Erscheinungsdatum: 16.06.2016
Gewicht: 0,423 kg
Artikel-ID: 104281308
Warnhinweis

Ähnliche Produkte

Ähnliche Produkte