Although breakdowns can use more than one independent variable for exploratory data analysis, the statistical procedures in breakdowns assume the existence of a single grouping factor (even if, in fact, the breakdown results from a combination of a number of grouping variables). Thus, those statistics do not reveal or even take into account any possible interactions between grouping variables in the design. For example, there could be differences between the influence of one independent variable on the dependent variable at different levels of another independent variable (e.g., tall people could have lower WCC than short ones, but only if they are males; see the "tree" data in the topic Descriptive Statistics by Groups (Breakdown) Introductory Overview - Arrangement of Data). You can explore such effects by examining breakdowns "visually," using different orders of independent variables, but the magnitude or significance of such effects cannot be estimated by the breakdown statistics. See also, Exploratory Data Analysis and Data Mining Techniques.

The STATISTICA Data Miner Interactive Drill-Down Explorer. The STATISTICA Data Miner Interactive Drill-Down Explorer also provides highly interactive options for computing various statistical and graphical summaries for selected variables, based on interactively chosen groups and sub-groups only.