3rd Edition

Correspondence Analysis in Practice





ISBN 9780367782511
Published March 31, 2021 by Chapman and Hall/CRC
326 Pages

USD $54.95

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Book Description

Drawing on the author’s 45 years of experience in multivariate analysis, Correspondence Analysis in Practice, Third Edition, shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. CA and its variants, subset CA, multiple CA and joint CA, translate two-way and multi-way tables into more readable graphical forms — ideal for applications in the social, environmental and health sciences, as well as marketing, economics, linguistics, archaeology, and more.



Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science.

Table of Contents

Preface



Scatterplots and Maps



Profiles and the Profile Space



Masses and Centroids



Chi-Square Distance and Inertia



Plotting Chi-Square Distances



Reduction of Dimensionality



Optimal Scaling



Symmetry of Row and Column Analyses



Two-Dimensional Maps



Three More Examples



Contributions to Inertia



Supplementary Points



Correspondence Analysis Biplots



Transition and Regression Relationships



Clustering Rows and Columns



Multiway Tables



Stacked Tables



Multiple Correspondence Analysis



Joint Correspondence Analysis



Scaling Properties of MCA



Subset Correspondence Analysis



Analysis of Matches Matrices



Analysis of Square Tables



Correspondence Analysis of Networks



Data Recoding



Canonical Correspondence Analysis



Co-Inertia and Co-Correspondence Analysis



Aspects of Stability and Inference



Permutation Tests



Appendix A: Theory of Correspondence Analysis



Appendix B: Computation of Correspondence Analysis



Appendix C: Bibliography of Correspondence Analysis



Appendix D: Glossary of Terms



Appendix E: Epilogue



Index

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Author(s)

Biography



Michael Greenacre is Professor of Statistics at the Universitat Pompeu Fabra, Barcelona, Spain, where he teaches a course, amongst others, on Data Visualization. He has authored and co-edited nine books and 80 journal articles and book chapters, mostly on correspondence analysis, the latest being Visualization and Verbalization of Data in 2015. He has given short courses in fifteen countries to environmental scientists, sociologists, data scientists and marketing professionals, and has specialized in statistics in ecology and social science.