It is widely used in sociological studies of categorical data.

It is conceptually similar to principal component analysis, but applies to categorical rather than continuous data.

Often, purely categorical data are summarised in the form of a contingency table.

The following are examples that arise in the context of categorical data.

With both continuous and categorical data, it would be best to use logistic regression.

It is used for categorical data; see Read and Cressie.

The procedure thus appears to be the counterpart of principal component analysis for categorical data.

Chi-squared tests were used to examine associations between categorical data.

Bar charts provide a visual presentation of categorical data.

Discrete data is categorical data, and answers the question, "how many?"