Counts Plot

What it does.

Analysts working with survey scores, quality metrics, or performance ratings often need to see how values distribute across categories — not just averages, but where the data clusters and where outliers sit. Standard bar charts collapse this detail into single aggregates, hiding the shape of the underlying data. Counts Plot solves this by placing dots along a value axis within category lanes, scaling each dot proportionally to the number of observations at that position. Larger circles mean more data points, making frequency patterns immediately visible.

The visual automatically bins nearby values so overlapping data points merge into a single scaled dot rather than stacking invisibly. Users can fine-tune the bin width or leave it on auto for intelligent defaults. A pre-aggregated Count field is also supported for datasets that arrive already summarised.

Currency and percentage formats are detected automatically from the data model. Conditional color formatting with numeric rules or field-value mapping highlights thresholds across the distribution. Unlimited reference bands mark target zones, gridlines, reference lines, and a configurable axis range provide full analytical control. Small multiples split the chart into a trellis grid for side-by-side distribution comparison across segments. Cross-filtering, drill-down, drill-through, report page tooltips, and context menus all work natively.