English | October 28, 2014 | ISBN: 1783988789 | 368 pages | AZW3 | 7.91 Mb

R Graph Cookbook Second Edition by Jaynal Abedin

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.