Contingency Analysis Mosaic/Parquet Diagrams
Statistics

The mosaic plot is a graphical method for visualizing n x m contingency tables. Aabel allows color coding the tiles based on (a) several statistical models, (b) observed and expected frequencies to display the quantities, and (c) rows and columns.

This method requires at least two categorical variables, each with 2 to n levels.

Aabel provides both simple graphs and matrices of mosaic and parquet diagrams, along with easy to use tools for customizing the diagrams.

In a mosaic plot, the areas of the mosaic tiles are proportional to the observed frequency of groups in the contingency table.

In a parquet plot, the area of each tile is proportional to the expected frequency of groups in the contingency table.

In Aabel, the diagram tiles can be color coded using:

  • Pearson's goodness-of-fit chi-square
  • Likelihood ratio chi-square
  • Freeman-Tukey residuals
  • Linear residuals (normalized)
  • Observed frequency
  • Expected frequency

For identifying categories with missing data, you can color rows or columns of tiles by category (see the left-hand side image below).

You can query information by control clicking on a tile (see the right-hand side image below).