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R Graphics Cookbook

Practical Recipes for Vsiualizing Data

This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works. Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you’re ready to get started.
* Use R’s default graphics for quick exploration of data
* Create a variety of bar graphs, line graphs, and scatter plots
* Summarize data distributions with histograms, density curves, box plots, and other examples
* Provide annotations to help viewers interpret data
* Control the overall appearance of graphics
* Render data groups alongside each other for easy comparison
* Use colors in plots
* Create network graphs, heat maps, and 3D scatter plots
* Structure data for graphing
Portrait
Winston Chang is a software engineer at RStudio, where he works on data visualization and software development tools for R. He holds a Ph.D. in Psychology from Northwestern University. During his time as a graduate student, he created a website called "Cookbook for R", which contains recipes for handling common tasks in R. In previous lives, he was a philosophy graduate student and a computer programmer.
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Einband Taschenbuch
Seitenzahl 416
Erscheinungsdatum 27.12.2012
Sprache Englisch
ISBN 978-1-4493-1695-2
Verlag O'Reilly UK Ltd.
Maße (L/B/H) 233/179/20 mm
Gewicht 714
Abbildungen mit Illustrationen
Verkaufsrang 13.476
Buch (Taschenbuch, Englisch)
28,99
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