DataPivtPro

DataPivtPro cross-tabulates one variable against another, with a statistic in each cell. Rows are the values of one column; columns are the values of another; each cell holds a count, or the mean, median, sum or another statistic of a third column. It is the pivot table, built for a loaded dataset and wired to the same drill-through and curation everything else uses.

Group by pool, split by solar, average the adjusted sale price — and the chart draws the cells as grouped columns while the pivot summary table states every cell with its count. Watch the cell counts: a cell of five sales tells you less than a cell of a hundred and seventy-nine, and a value that differs wildly from its neighbors usually has a thin count behind it.

Use it to find structure before you measure it — whether a feature's premium holds across price bands, whether two features stack or overlap, whether a category is really two. Choose the statistic to match the question: means for magnitude, medians when the tails are heavy, counts when the question is composition.