Graphical Data Analysis with R shows you what information you

can gain from graphical displays. The book focuses on why you draw

graphics to display data and which graphics to draw (and uses R to

do so). All the datasets are available in R or one of its packages and

the R code is available at rosuda.org/GDA.

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. This book guides you in choosing graphics

and understanding what information you can glean from them. It

can be used as a primary text in a graphical data analysis course

or as a supplement in a statistics course. Colour graphics are used

throughout.

Features

• Concentrates on why graphics are drawn and what they reveal

• Emphasises the value of drawing a variety of different graphics

• Uses real datasets in R to show how graphical data analysis

works in practice

• Supplies R code for all the graphics on the author’s website

• Includes a set of exercises in each chapter to facilitate hands-on

learning

Antony Unwin is a professor of computer-oriented statistics and data

analysis at the University of Augsburg. He is a fellow of the American

Statistical Society. His research focuses on data visualisation,

especially in interactive graphics.