This book is a result of the author’s more than thirty years of experience in science and environmental research. Correspondence analysis is a statistical method for visualizing and interpreting large data sets, and has found applications in almost every branch of scientific research: for example, analysing questionnaire data in sociology, looking for patterns in microarray data in genetic research, discovering relationships between biological and environmental variables, and understanding customers’ perceptions of products relative to competing brands in marketing.

The book has a didactic format which is easy to read, with technical aspects presented in an Appendix. Thirteen different data sets are analysed so that readers have plenty of practical examples to follow. The book is also highly orientated to modern computation, and explains how to apply correspondence analysis using state-of-the-art software that can be downloaded for free.

The book is aimed at a wide spectrum of researchers: for example, sociologists, environmental scientists, biomedical researchers, marketing professionals, psychologists, researchers in education and linguists. Anyone collecting large data sets and struggling to get a global and synthetic view of their information will find this book particularly useful.

Chapters in PDF Format
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Chapter 12
Chapter 13
Chapter 14
Chapter 15
Chapter 16
Chapter 17
Chapter 18
Chapter 19
Chapter 20
Chapter 21
Chapter 22
Chapter 23
Chapter 24
Chapter 25
Appendix A
Appendix B
Appendix C
Appendix D
Appendix E