Correspondence Analysis in Practice

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A01=Michael Greenacre
advanced data visualization
Author_Michael Greenacre
Average Profile
Average Row Profile
Burt Matrix
CA
CA Map
CA Solution
Canonical Correspondence Analysis
categorical data analysis
Category=JMB
Category=PBT
Category=PBW
centroids
Co-inertia Analysis
Column Profiles
Column Vertex
correspondence analysis
Data Set
dimensionality reduction
ecological data modeling
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Health Categories
Indicator Matrix
interdisciplinary statistics
MCA
MCA Map
Michael Greenacre
Multiple Correspondence Analysis
multivariate statistics
Principal Axis
Principal Coordinates
Principal Inertias
Profile Points
Profile Space
Row Profile
social science quantitative methods
Standard Coordinates
statistical mapping techniques for research
Total Inertia
two-dimensional maps
Vertex Points
Vice Versa

Product details

  • ISBN 9781498731775
  • Weight: 720g
  • Dimensions: 178 x 229mm
  • Publication Date: 20 Dec 2016
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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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