Correspondence analysis is a data or dimension reduction tool for exploring relationships among categorical data or qualitative variables. It provides summarizing and visualization output in a two-dimension plots. Our focus here is on contingency tables constituted by frequencies.

One way to state the goal of a typical analysis is to represent the entries in the table of relative frequencies in terms of the distances between individual rows and/or columns in a low-dimensional space. This is illustrated by the examples explored in this project.

The first example includes data from Greencare (2010) and shows the results of a survey from the smoking habits of the employees of a fictitious company to their position within the company. The second example includes data from Bendixen (2003) with a sample of 100 housewives that they were asked on which of the 14 statements listed they associated with. Its important to note that multiple responses were allowed.