Graphical Data Analysis with R

Preface

Graphical Data Analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. It is essential for exploratory data analysis and data mining. There are several fine books on graphics using R, such as “ggplot2” [Wickham, 2009], “Lattice” [Sarkar, 2008], and “R Graphics” [Murrell, 2011]). These books concentrate on how you draw graphics in R. This book concentrates on why you draw graphics and which graphics to draw (and uses R to do so).

The target readership includes anyone carrying out data analyses who wants to understand their data using graphics. The book can be used as the primary textbook ...