Interactive and Dynamic Graphics for Data Analysis - With R and GGobi

Preface

Contents

Technical Notes

List of Figures

1 Introduction

1.1 Data visualization: beyond the third dimension

1.2 Statistical data visualization: goals and history

1.3 Getting down to data

1.4 Getting real: process and caveats

1.5 Interactive investigation

2 The Toolbox

2.1 Introduction

2.2 Plot types

2.3 Plot manipulation and enhancement

2.4 Tools available elsewhere

2.5 Recap

Exercises

3 Missing Values

3.1 Background

3.2 Exploring missingness

3.3 Imputation

3.4 Recap

Exercises

4 Supervised Classification

4.1 Background

4.2 Purely graphics: getting a picture of the class structure

4.3 Numerical methods

4.4 Recap

Exercises

5 Cluster Analysis

5.1 Background

5.2 Purely graphics

5.3 Numerical methods

5.4 Characterizing clusters

5.5 Recap

Exercises

6 Miscellaneous Topics

6.1 Inference

6.2 Longitudinal data

6.3 Network data

6.4 Multidimensional scaling

Exercises

7 Datasets

7.1 Tips

7.2 Australian Crabs

7.3 Italian Olive Oils

7.4 Flea Beetles

7.5 PRIM7

7.6 Tropical Atmosphere- Ocean Array ( TAO)

7.7 Primary Biliary Cirrhosis ( PBC)

7.8 Spam

7.9 Wages

7.10 Rat Gene Expression

7.11 Arabidopsis Gene Expression

7.12 Music

7.13 Cluster Challenge

7.14 Adjacent Transposition Graph

7.15 Florentine Families

7.16 Morse Code Confusion Rates

7.17 Personal Social Network

References

Index