R Graphs Cookbook - Second Edition

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.

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

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.