Wave Significance Table

Chartura Wave Significance Table is a purpose-built matrix visual for market researchers, insights teams, and analysts who need to surface statistically significant differences across tracking study waves - right inside Power BI. Built-in Significance Testing Stop relying on external calculations. Chartura Wave Significance Table performs T-Test and Z-Test significance testing natively, comparing counts against a base measure at 90%, 95%, or 99% confidence levels. Results surface directly in the cell using your choice of seven display styles: arrows, dot indicators, cell fill, bordered cell fill, underline, side rail, or delta pill each fully color-customizable. Flexible Matrix Structure Place any combination of dimensions on rows and columns, with full drill-down and expand/collapse support at every hierarchy level. Row and column subtotals can be configured independently per level, and a grand table total is available with its own distinct styling. Presentation-Ready Formatting Every element of the table - column headers, row headers, data cells, row totals, column totals, table totals, and footer has independent typography controls (font family, size, bold, italic, underline, color). Alternate row and column shading, hover highlighting, sticky headers and footers, custom prefix/suffix, and decimal precision make it easy to match your brand or report style without post-processing in other tools. Ideal Use Cases - Tracking studies and brand health surveys comparing wave over wave - Topline trackers showing metric shifts across survey waves - Ad/concept testing reports where response counts and bases vary by wave - Multi-market or multi-brand trackers requiring significance flags on crosstabs Try it free for 30 days. Full documentation and setup guides are available at www.chartura.com/support/wavesigtable