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

ggplot2: Elegant Graphics for Data Analysis (Use R!) [Kindle Edition]

Hadley Wickham
4.8 von 5 Sternen  Alle Rezensionen anzeigen (4 Kundenrezensionen)

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Produktbeschreibungen

Kurzbeschreibung

This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison’s Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it’s easy to:

  • produce handsome, publication-quality plots, with automatic legends created from the plot specification
  • superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales
  • add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised 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 your graph from a visual perspective, thinking about how each component of the data is represented on the final plot.

This book 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 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.

Buchrückseite

This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to:

  • produce handsome, publication-quality plots, with automatic legends created from the plot specification
  • superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales
  • add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised 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 your graph from a visual perspective, thinking about how each component of the data is represented on the final plot

This book 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 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.

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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3 von 3 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Schöne Einführung 8. März 2011
Format:Taschenbuch
Das Buch ggplot2 gibt eine schöne Einführung in das dritte (nach den Standard- und den Lattice-Funktionen)
große Graphikpaket für R. Mit ggplot2 lassen sich tatsächlich "elegante" und publikationsreife Graphiken
erzeugen, in der Regel kommt man durch die m.E. konsistentere Befehlsstruktur schneller zu besseren
Ergebnissen und kann auch leichter "mal eben" das generelle Erscheinungsbild umstellen.
Das Buch stammt vom Autor des R-Pakets und ist sehr empfehlenswert - einziges Manko: der hohe Preis.
War diese Rezension für Sie hilfreich?
Format:Kindle Edition|Verifizierter Kauf
ggplot is a fantastic way to produce graphics from data. The underlying grammar of grahpics makes it both easy to use and very powerful. For me, this has been a revelation. I now focus much more on looking at visualizations of data rather than at models and tables.
The book, by the author of the ggplot package, is easy to work through. It teaches ggplot both in a very practical manner (how to solve specific tasks), and in a very general manner, conveying the underlying concepts.
The last chapters give nice introductions to the author's other well known R packages: plyr (producing group "summaries") and reshape (reshaping data from long to wide format and vice versa). These packages are also great. The introduction is short but gets the main points for use across.
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5.0 von 5 Sternen Graphiken in R 18. September 2012
Von Hansmann
Format:Taschenbuch|Verifizierter Kauf
Das erste Buch für Graphiken in R, das didaktisch hervorragend in die Gestaltung von Graphiken mit ggplot2 einführt. Durch Erläuterungen und viele Beispiele lernt man den Umgang mit ggplot2 gründlich in kürzester Zeit. Sehr empfehlenswert!

Prof. Hansmann
War diese Rezension für Sie hilfreich?
Format:Taschenbuch|Verifizierter Kauf
Dieses Buch bietet sowohl eine sehr gut verständliche und praktisch verwertbare Anleitung zur Verwendung von ggplot2 als auch Informationen zum Hintergrundverständnis.
War diese Rezension für Sie hilfreich?
Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)
Amazon.com: 4.4 von 5 Sternen  35 Rezensionen
54 von 55 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen create elegant plots with ease 19. August 2009
Von Sunny - Veröffentlicht auf Amazon.com
Format:Taschenbuch
ggplot2 is an R package for creating graphs. If you have used R, you may have observed that you can control almost all aspects of a graph you create. This flexibility can come at a price in having to be familiar with several options and syntax that is not always intuitive. ggplot2 overcomes this hurdle because it is based on a grammar. After one invests the time to learn this grammar, one can create customizable plots with default settings that are aesthetically pleasing. ggplot2 automatically takes care of details such as legends. This book covers ggplot2 plotting in a clear manner. It is filled with examples, simple and complex, and all code is available from the author's website. It covers the logic of the grammar, basic plots, combining plots, how to represent subsets, and even how to format data so that it can be plotted. I highly recommend this book. You will produce plots exactly as you want them (with ease), and learn about different ways to display your data. Be sure to invest some time up front to develop an understanding rather than cutting and pasting code. This investment will pay off.
31 von 31 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen shows how to build gorgeous statistical graphics 20. August 2009
Von M. Driscoll - Veröffentlicht auf Amazon.com
Format:Taschenbuch
This book is a practical overview of ggplot2, a new graphics package available for R - and I would argue the best statistical graphics package for any language. Why? Because it allows users to create gorgeous, elegant graphics with a minimum of effort.

As Wickham details in this lucid book, ggplot2 is based on a grammar of graphics, which conceives of statistical plots not as fixed chart typologies (bar, line, pie) to be filled with data, but as graphical compositions built up from component parts (scales, coordinate systems, geometric objects).

Before embarking on several chapters describing how to control various elements of the grammar, Wickham dives in (with Chapter 2, "Getting started with qplot") and guides users on how to rapidly create graphics with the qplot (for "quick plot").

Two elements struck me in reading this book and beginning to use ggplot2:

(i) It possesses excellent defaults. Wickham has put an enormous amount of thought into the default aesthetics. From light gray plotting backgrounds to monochromatically spaced color palettes, ggplot2 builds on decades of work done in the information visualization space.

(ii) It possesses an intuitive syntax. Creating graphics in R often requires specifying an enormous number of parameters. ggplot2's syntax - the ability to "build up" a graph from layer by layer - allows for an intuitive way to control complexity.

If you are serious about statistical graphics -- and even if you are new to R -- this book is an essential volume.
22 von 22 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Nice resource, but already out of date 5. März 2012
Von Joshua A. Shapiro - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Verifizierter Kauf
ggplot2 is a great plotting packaged for R, and this is a good reference for the system, written by the author of the package. It does a good job of explaining the grammar of graphics on which the plotting system is based, and how that is implemented in the R package. While it can takes some time to adapted to a syntax that is very different from the base plotting syntax, the overall flexibility of the system is worth the effort, and the plots it produces are quite beautiful.

Fortunately for users of ggplot2, but unfortunately for my review of this book, the ggplot2 package is still rapidly evolving. Much has already changed since the publication of this book, so there are many parts of the ggplot2 system that are not covered by this book. I do not think there are many places that the code in the book will not work anymore, but there are some significant recent additions that are completely unmentioned. Since most of the important information is available online, it is hard to recommend the book too strongly, as the cost is not insignificant. On the other hand, I am happy to have supported the further development of the ggplot2 package (and other R projects) by whatever portion of the proceeds made it back to Hadley Wickham.
21 von 21 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen A must have book for data visualization 20. August 2009
Von Michael Lawrence - Veröffentlicht auf Amazon.com
Format:Taschenbuch
Inspired by Wilkinson (2005), Wickham has developed and implemented ggplot2, a layered grammar of graphics that makes intuitive the production of meaningful (and frankly beautiful) data representations. This book walks the reader through two modes of using ggplot2. For the novice seeking quick default depiction of data, the qplot() function is introduced as an effective panacea of simple plotting problems. For the user seeking to achieve more advanced graphics than possible with qplot(), Wickham introduces his layered grammar and a host of functions that simplify application of this grammar to common graphing problems. No matter whether one employs the qplot() or more advanced graphic generation approaches, the result is a printable, save-able, and highly customizable graphic object. Wickham provides extensive customization examples, including the development of themes that can be applied across multiple individual graphics, simplifying the creation of custom yet aesthetically unified graphics. As a student of cognitive science, this reviewer is impressed by the work Wickham has done to ensure that ggplot2 and, through this book, its users are sensitive to important psychological aspects of generating graphics that link abstract data and statistical interpretation via the human visual perceptual system. The result of this attention to detail is a graphing package that not only lets you plot data easily and meaningfully, but also beautifully. This book is an exemplary resource for learning the power of ggplot2 and as such is recommended to all.
13 von 13 Kunden fanden die folgende Rezension hilfreich
3.0 von 5 Sternen Good book - avoid the kindle edition 27. Januar 2012
Von some guy on the internet - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Verifizierter Kauf
This is a terrific guide to ggplot2. A clear introduction to what can be a very complicated topic. However the kindle edition of this book is terrible, no links in the index for example so if you need to look something up you have to guess as to the page number. Buy the physical book.
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Beliebte Markierungen

 (Was ist das?)
&quote;
To make a semi-transparent colour you can use the alpha aesthetic, which takes a value between 0 (completely transparent) and 1 (complete opaque). &quote;
Markiert von 7 Kindle-Nutzern
&quote;
manually set the aesthetics using I (), e.g., colour = I (red) or size = I(2). &quote;
Markiert von 7 Kindle-Nutzern
&quote;
method = rlm works like lm, but uses a robust fitting algorithm so that outliers dont affect the fit as much. Its part of the MASS package, so remember to load that first. &quote;
Markiert von 6 Kindle-Nutzern

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