ABSTRACT

See How Graphics Reveal Information

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.

chapter 1|18 pages

Setting the Scene

chapter 3|25 pages

Examining Continuous Variables

chapter 4|22 pages

Displaying Categorical Data

chapter 6|32 pages

Investigating Multivariate Continuous Data

chapter 7|23 pages

Studying Multivariate Categorical Data

chapter 8|22 pages

Getting an Overview

chapter 10|25 pages

Comparisons, Comparisons, Comparisons

chapter 11|19 pages

Graphics for Time Series

chapter 12|14 pages

Ensemble Graphics and Case Studies

chapter 13|17 pages

Some Notes on Graphics with R

chapter 14|3 pages

Summary