What it does.
When analysts need to see every individual data point rather than aggregated summaries, standard charts fall short. Box plots show quartiles but hide the raw data. Bar charts reduce distributions to single values. Jitter Plot reveals the full picture by drawing every observation as a dot, spread within category lanes using randomized jitter or tight beeswarm packing so that overlapping points become visible instead of hidden.
Two layout modes serve different analytical needs. Jitter mode applies a controlled random offset perpendicular to the value axis, creating a scatter cloud where density is visible through dot clustering. Beeswarm mode uses force-directed packing to position dots as close to the center line as possible without overlap, producing a violin-like shape that reveals distribution contours precisely.
Currency and percentage formats are detected automatically from the data model. Conditional color formatting highlights individual data points that meet specific thresholds. Unlimited reference bands mark target zones, and a configurable axis range with minimum and maximum controls provides precise scale management. Small multiples split the chart into a trellis grid for cross-segment comparison. Cross-filtering, drill-down, drill-through, report page tooltips, and context menus all work natively.
What ships today, what’s next.
Available now9 capabilities
- Every data point rendered as an individual dot within category swim lanes
- Two layout modes: Jitter (random spread) and Beeswarm (force-packed, no overlap)
- Adjustable jitter amount and beeswarm padding for density control
- Currency and percentage formatting detected automatically from the data model
- Conditional color formatting with numeric rules or field-value mapping
- Configurable axis range with minimum and maximum controls
- Unlimited reference bands with color, opacity, labels, and font formatting
- Small multiples with axis coupling and range matching
- Cross-filtering, drill-down, drill-through, report page tooltips, and context menus
Other custom visuals.
9 more visuals in the catalogue. All free to download.
Dual Axis Bar & Column Chart
Plot two measures on independent scales without dropping in a separate combo chart.
Learn more →Dual Hierarchy Decomposition Tree
Up to four KPIs per card across two hierarchy axes, with DAX-driven status colours.
Learn more →Multi KPI Decomposition Tree
Decompose up to five measures per node, with stacked bars on every branch.
Learn more →Arabic Matrix Table
Right-to-left matrix with Arabic labels, hierarchical rows, subtotals and grand totals.
Learn more →Arabic Stacked Bar Chart
RTL-native stacked bars with Arabic number units, small multiples and cross-filtering.
Learn more →Arabic Stacked Column Chart
RTL-native stacked columns matched to the Arabic Bar visual for consistent dashboards.
Learn more →Arabic Waterfall Chart
Sequential value walk for Arabic dashboards — variance, build-up and bridge analyses.
Learn more →Dumbbell Chart
Two markers per category on a shared scale, connected by a line that makes the gap immediately visible.
Learn more →Counts Plot
Visualise data distribution with dots scaled by frequency across category lanes.
Learn more →Need a custom Power BI visual built for your reporting?
Thirty minutes with a senior BI consultant. We’ll walk your report, scope the visual, and tell you whether a build makes sense.