Preface

The open source statistical software, R, is one of the most popular choices among researchers from various fields. This software has the capability to produce high-quality graphics, and data visualization is one of the most important tasks in data science tracks. Through effective visualization, we can easily uncover the underlying pattern among variables without doing any sophisticated statistical analysis. In this cookbook, we have focused on graphical analysis using R in a very simple way with each independent example. We have covered the default R functionality along with more advanced visualization techniques such as lattice, ggplot2, and three-dimensional plots. Readers will not only learn the code to produce the graph but also learn why certain code has been written with specific examples.