Correspondence Analysis (CA)
- is a multivariate statistical technique for analyzing categorical data
- the main objective of CA is to visualize rows and columns of a data table in a low-dimensional space, usually two-dimensional
- is conceptually similar to principal component analysis (PCA), but applies to categorical rather than continuous data