This document discusses correspondence analysis (CA), a technique that analyzes the association between two categorical variables. It provides an example of using CA to analyze the relationship between age groups and opinions on a movie from a survey of 1357 respondents. The analysis finds that the 16-24 age group and the "Good" opinion category contribute most to the variation in the data and are the most distant from the average categories. CA represents the data in a two-dimensional space to visualize these relationships between the categorical variables.