Correspondence analysis (CA) is a multivariate statistical technique that reveals the relative relationships between and within two groups of variables, based on data given in a contingency table.
This component apply the correspondence analysis to two string columns available in the dataset.
It automatically computes the contingency table. A third column to aggregate and an aggregation function must be specified in the configuration dialog in order to pivot the dataset.
A complete report with grapics is generated in the component dialog.
This component adopts "FactoMineR", "factoextra" and "ggplot2" R libraries.
You need R to be correctly configured to use this component.
- Type: TableInput tableThe input table needs two string columns and a third column to aggregate.