Correspondence Analysis in Practice, Third Edition

Michael Greenacre

December 20, 2016 by Chapman and Hall/CRC
Reference - 310 Pages - 113 B/W Illustrations
ISBN 9781498731775 - CAT# K26211
Series: Chapman & Hall/CRC Interdisciplinary Statistics

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  • Completely revised, up-to-date edition that continues with the unique didactic format of the second edition, each chapter having a fixed eight pages of study material, with extensive marginal notes, informative figure and table captions, and end-of chapter summaries
  • Five new chapters on correspondence analysis of networks, compositional data analysis, analysis of matched matrices, co-inertia & co-correspondence analysis, and permutation tests
  • Nontechnical presentation of CA, gathering the mathematical aspects in a compact theoretical appendix
  • Numerous examples and case studies from the social and environmental sciences
  • Computational appendix that documents the ca package for R developed by the author and summarizes the R commands for many analyses in the book, making it easy for readers to reproduce the results
  • Supporting website with data sets and R scripts


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.


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