• canonical correspondence analysis;
  • detrended correspondence analysis;
  • history of statistics;
  • inverse correspondence analysis;
  • joint correspondence analysis;
  • modelling;
  • non-symmetrical correspondence analysis;
  • singular value decomposition


Over the past half a century correspondence analysis has grown from a little known statistical technique designed to graphically depict the association structure of categorical variables that form a contingency table to a very popular tool used in a wide variety of disciplines. Despite this growth, correspondence analysis remains relatively unknown in some parts of the world, including the Australasian statistical community.

This paper provides a non-technical, bibliographic exploration of correspondence analysis. We take a step back to view the development of this statistical technique and provide a brief account of its genealogy with a selection of over 270 key publications that have contributed to its growth. We also look at its maturity over the decades.