Correspondence Analysis (ViSta-Coresp) is a statistical analysis and visualization method for picturing the associations between the levels of a two-way contingency table. The name is a translation of the French "Analyses des Correspondances", where the term correspondance denotes a "system of associations" between the elements of two sets.

In a two-way contingency table, the observed association of two traits is summarized by the cell frequencies. A typical inferential aspect is the study of whether certain levels of one characteristic are associated with certain levels of another. 

Correspondence analysis is a geometric technique for displaying the rows and columns of a two-way contingency table as points in a low-dimensional space, such that the positions of the row and column points are consistent with their associations in the table. The goal is to have a global view of the data that is useful for interpretation.

The ViSta-Coresp visualization displays the graphs for the rows and columns of the contingency table, and lets you interactively modify the estimated values.


