Correspondence Analysis in Practice

by Michael J. Greenacre

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.

326 pages, Hardcover

First published January 1, 1992

Reviews

[Terran M · Rating 4 out of 5]

I was very pleased with this geometrically focused introduction to correspondence analysis, which can be broadly described as a technique for visualizing the individual rows and columns of a chi-squared test, or for assessing count data to see how your rows and columns are related. The focus is on developing a geometric intuition so that you can use correspondence analysis plots for exploratory analysis; the math is relegated to an appendix, which you will probably want to follow along with as you read the main parts of the book.

I was not pleased with the physical printing - it looked like it was printed on a geriatric office inkjet with several clogged nozzles. This is the worst printed book I have ever received, and that includes used copies, self-published books, and cheap Asian editions. I expected better for seventy bucks; shame on CRC.