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Simple Correspondence Analysis: A Bibliographic Review
Author(s) -
Beh Eric J.
Publication year - 2004
Publication title -
international statistical review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.051
H-Index - 54
eISSN - 1751-5823
pISSN - 0306-7734
DOI - 10.1111/j.1751-5823.2004.tb00236.x
Subject(s) - popularity , categorical variable , correspondence analysis , contingency table , data science , simple (philosophy) , computer science , reputation , statistical analysis , regional science , management science , operations research , econometrics , statistics , geography , political science , mathematics , social science , sociology , epistemology , engineering , machine learning , philosophy , law
Summary Over the past few decades correspondence analysis has gained an international reputation as a powerful statistical tool for the graphical analysis of contingency tables. This popularity stems from its development and application in many European countries, especially France, and its use has spread to English speaking nations such as the United States and the United Kingdom. Its growing popularity amongst statistical practitioners, and more recently those disciplines where the role of statistics is less dominant, demonstrates the importance of the continuing research and development of the methodology.The aim of this paper is to highlight the theoretical, practical and computational issues of simple correspondence analysis and discuss its relationship with recent advances that can be used to graphically display the association in two‐way categorical data.