R Graphs Cookbook Second Edition

Abedin, Jaynal; Mittal, Hrishi V.

ISBN 10: 1783988789 / ISBN 13: 9781783988785

Verlag: Packt Publishing, 2014

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Bestandsnummer des Verkäufers 9781783988785

Bibliografische Details

• Titel: R Graphs Cookbook Second Edition
• Verlag: Packt Publishing
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 1783988789
• ISBN-13: 9781783988785
• Einband: Softcover
• Auflage: 2. Auflage
• Zustand: New

Über diesen Titel

Inhaltsangabe

Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs

About This Book

• Create a wide range of powerful R graphs
• Leverage lattice and ggplot2 to create high-quality graphs.
• Develop well-structured maps for efficient data visualization

Who This Book Is For

Targeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries.

What You Will Learn

• Create diverse types of bar charts using the default R functions
• Produce and customize density plots and histograms with lattice and ggplot2
• Visualize frequency tabulated data with interactive and beautiful graphs
• Inspect large datasets by simultaneously visualizing numeric and categorical variables in a single plot
• Construct multiple graph matrix layouts
• Annotate graphs using ggplot2
• Construct various types of three-dimensional plots using three-dimensional visualizations

In Detail

Data visualization is one of the most important tasks in the data science track. Through effective visualization, we can easily uncover underlying patterns among variables without doing any sophisticated statistical analysis.

Starting with a high-level overview of the R graphics system and then moving through this practical cookbook, you will leverage powerful default R graphics and utilize advanced graphics systems such as lattice and ggplot2, the grammar of graphics. Through inspecting large datasets using tableplot and stunning three-dimensional visualizations, you will know how to produce, customize, and publish advanced visualizations using this popular, and powerful, framework.

Reseña del editor

Targeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries.