Other Related Data Analysis Techniques
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 (such as 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.