100% stacked polar column
Compare percentage composition in radial columns.
Chart ID: normalizedPolarColumn. Independent import: @revolist/charts/normalized-polar-column.
Live example
Section titled “Live example”Loading chart…
Reading the chart
Section titled “Reading the chart”Compare radial composition with every category scaled to a common total. Segment radii reflect normalized contributions, not absolute totals.
Data requirements
Section titled “Data requirements”Use one category per row and one or more numeric series. Values are finite numbers or explicit nulls; the row mapper does not group or aggregate repeated keys.
Use non-negative values for this chart. Negative values are rejected; explicit nulls represent missing observations.
The roles below describe the chart's data contract. Generic category/value roles resolve from the dataset; explicitly bind specialized numeric roles as shown in the complete example.
| Data role | Field count |
|---|---|
category | 1 or more |
value | 1 or more |
series | 1 or more |
Download the complete sample data and settings (JSON). See Data & Configuration for mapping, null values, updates and lifecycle rules.
Create this chart
Section titled “Create this chart”Install the package using the installation guide, give the host an explicit height, and call createNormalizedPolarColumnChart after the host mounts. This factory fixes the chart type to normalizedPolarColumn.
<div id="chart" style="width: 100%; height: 450px;"></div>Complete runnable TypeScript example with sample data
import { createNormalizedPolarColumnChart } from '@revolist/charts/normalized-polar-column';
const container = document.getElementById('chart')!;const chart = await createNormalizedPolarColumnChart({ container, "dataset": { "revision": 0, "source": "client", "categories": [ { "id": "preview-category-0", "label": "Q1", "path": [ "Q1" ], "labels": [ "Q1" ], "depth": 1, "kind": "leaf" }, { "id": "preview-category-1", "label": "Q2", "path": [ "Q2" ], "labels": [ "Q2" ], "depth": 1, "kind": "leaf" }, { "id": "preview-category-2", "label": "Q3", "path": [ "Q3" ], "labels": [ "Q3" ], "depth": 1, "kind": "leaf" } ], "series": [ { "id": "preview-series-0", "label": "Revenue", "columnPath": [ "Revenue" ], "labels": [ "Revenue" ], "kind": "leaf", "prop": "preview-0" }, { "id": "preview-series-1", "label": "Margin", "columnPath": [ "Margin" ], "labels": [ "Margin" ], "kind": "leaf", "prop": "preview-1" }, { "id": "preview-series-2", "label": "Units", "columnPath": [ "Units" ], "labels": [ "Units" ], "kind": "leaf", "prop": "preview-2" } ], "values": [ [ 42, 24, 34 ], [ 66, 39, 52 ], [ 54, 46, 63 ] ], "analyticalFrame": { "fields": [ { "id": "pivot:category", "label": "pivot:category", "role": "dimension", "semanticType": "category" }, { "id": "pivot:series", "label": "pivot:series", "role": "dimension", "semanticType": "category" }, { "id": "preview-series-0", "label": "Revenue", "role": "measure", "semanticType": "number", "sourceField": "preview-0" }, { "id": "preview-series-1", "label": "Margin", "role": "measure", "semanticType": "number", "sourceField": "preview-1" }, { "id": "preview-series-2", "label": "Units", "role": "measure", "semanticType": "number", "sourceField": "preview-2" } ], "observations": [ { "id": "[\"preview-category-0\",\"preview-series-0\"]", "dimensions": { "pivot:category": { "value": "Q1", "label": "Q1", "path": [ "Q1" ], "labels": [ "Q1" ] }, "pivot:series": { "value": "Revenue", "label": "Revenue", "path": [ "Revenue" ], "labels": [ "Revenue" ] } }, "measures": { "preview-series-0": 42 } }, { "id": "[\"preview-category-0\",\"preview-series-1\"]", "dimensions": { "pivot:category": { "value": "Q1", "label": "Q1", "path": [ "Q1" ], "labels": [ "Q1" ] }, "pivot:series": { "value": "Margin", "label": "Margin", "path": [ "Margin" ], "labels": [ "Margin" ] } }, "measures": { "preview-series-1": 24 } }, { "id": "[\"preview-category-0\",\"preview-series-2\"]", "dimensions": { "pivot:category": { "value": "Q1", "label": "Q1", "path": [ "Q1" ], "labels": [ "Q1" ] }, "pivot:series": { "value": "Units", "label": "Units", "path": [ "Units" ], "labels": [ "Units" ] } }, "measures": { "preview-series-2": 34 } }, { "id": "[\"preview-category-1\",\"preview-series-0\"]", "dimensions": { "pivot:category": { "value": "Q2", "label": "Q2", "path": [ "Q2" ], "labels": [ "Q2" ] }, "pivot:series": { "value": "Revenue", "label": "Revenue", "path": [ "Revenue" ], "labels": [ "Revenue" ] } }, "measures": { "preview-series-0": 66 } }, { "id": "[\"preview-category-1\",\"preview-series-1\"]", "dimensions": { "pivot:category": { "value": "Q2", "label": "Q2", "path": [ "Q2" ], "labels": [ "Q2" ] }, "pivot:series": { "value": "Margin", "label": "Margin", "path": [ "Margin" ], "labels": [ "Margin" ] } }, "measures": { "preview-series-1": 39 } }, { "id": "[\"preview-category-1\",\"preview-series-2\"]", "dimensions": { "pivot:category": { "value": "Q2", "label": "Q2", "path": [ "Q2" ], "labels": [ "Q2" ] }, "pivot:series": { "value": "Units", "label": "Units", "path": [ "Units" ], "labels": [ "Units" ] } }, "measures": { "preview-series-2": 52 } }, { "id": "[\"preview-category-2\",\"preview-series-0\"]", "dimensions": { "pivot:category": { "value": "Q3", "label": "Q3", "path": [ "Q3" ], "labels": [ "Q3" ] }, "pivot:series": { "value": "Revenue", "label": "Revenue", "path": [ "Revenue" ], "labels": [ "Revenue" ] } }, "measures": { "preview-series-0": 54 } }, { "id": "[\"preview-category-2\",\"preview-series-1\"]", "dimensions": { "pivot:category": { "value": "Q3", "label": "Q3", "path": [ "Q3" ], "labels": [ "Q3" ] }, "pivot:series": { "value": "Margin", "label": "Margin", "path": [ "Margin" ], "labels": [ "Margin" ] } }, "measures": { "preview-series-1": 46 } }, { "id": "[\"preview-category-2\",\"preview-series-2\"]", "dimensions": { "pivot:category": { "value": "Q3", "label": "Q3", "path": [ "Q3" ], "labels": [ "Q3" ] }, "pivot:series": { "value": "Units", "label": "Units", "path": [ "Units" ], "labels": [ "Units" ] } }, "measures": { "preview-series-2": 63 } } ], "matrixCells": [ { "categoryId": "preview-category-0", "seriesId": "preview-series-0", "observationId": "[\"preview-category-0\",\"preview-series-0\"]", "measureFieldId": "preview-series-0" }, { "categoryId": "preview-category-0", "seriesId": "preview-series-1", "observationId": "[\"preview-category-0\",\"preview-series-1\"]", "measureFieldId": "preview-series-1" }, { "categoryId": "preview-category-0", "seriesId": "preview-series-2", "observationId": "[\"preview-category-0\",\"preview-series-2\"]", "measureFieldId": "preview-series-2" }, { "categoryId": "preview-category-1", "seriesId": "preview-series-0", "observationId": "[\"preview-category-1\",\"preview-series-0\"]", "measureFieldId": "preview-series-0" }, { "categoryId": "preview-category-1", "seriesId": "preview-series-1", "observationId": "[\"preview-category-1\",\"preview-series-1\"]", "measureFieldId": "preview-series-1" }, { "categoryId": "preview-category-1", "seriesId": "preview-series-2", "observationId": "[\"preview-category-1\",\"preview-series-2\"]", "measureFieldId": "preview-series-2" }, { "categoryId": "preview-category-2", "seriesId": "preview-series-0", "observationId": "[\"preview-category-2\",\"preview-series-0\"]", "measureFieldId": "preview-series-0" }, { "categoryId": "preview-category-2", "seriesId": "preview-series-1", "observationId": "[\"preview-category-2\",\"preview-series-1\"]", "measureFieldId": "preview-series-1" }, { "categoryId": "preview-category-2", "seriesId": "preview-series-2", "observationId": "[\"preview-category-2\",\"preview-series-2\"]", "measureFieldId": "preview-series-2" } ] } }, "bindings": {}, "presentation": { "dataLabels": false }});
// When the host unmounts:// chart.destroy();Await updates before reading a snapshot or exporting. Call chart.destroy() when the host unmounts. See the live catalog to interact with this type.
Supported options
Section titled “Supported options”Set these fields in chartOptions. The option schema validates supported keys, ranges and choices; updating chartOptions replaces that authored object.
| Option | Default | Accepted values |
|---|---|---|
markOpacity | 1 | 0.2 to 1; step 0.05 |
startAngle | -90 | -360 to 360; step 1 |
sweepAngle | 360 | 1 to 360; step 1 |
innerRadius | 0 | 0 to 0.95; step 0.05 |
outerRadius | 1 | 0.05 to 1; step 0.05 |
polarReverse | false | true or false |
groupPadding | 0.1 | 0 to 0.95; step 0.05 |
Titles, legends, theme and labels belong to presentation or the corresponding top-level setting. Axis, color, navigation and interaction support depends on the selected chart; see Data & Configuration.
Related charts
Section titled “Related charts”- Rose — Compare category magnitude through radial sector length.
- Radar line — Compare multiple measures across circular category axes.
- Radar area — Compare filled multivariate profiles across circular axes.
- Polar column — Compare grouped values as radial columns.
- Stacked polar column — Compare radial totals and their contributing measures.
- Radial bar — Show one measure as progress around radial tracks.
- Multi-ring radial bar — Compare multiple measures as concentric radial tracks.
- Radial column — Compare rectangular columns arranged around a polar axis.
Charts overview · Installation · Data & Configuration
See polar and radial geometry for saved rotation, sweep, direction, radius and spacing controls shared with Pivot.
Use polar numeric value axes for shared scale, bounds, reversal, tick, grid and clipping policies.
Named axes and measured layout
Section titled “Named axes and measured layout”Add numeric definitions in axes.polar.valueAxes and assign each series with
seriesOverrides[id].polarAxis; omitted assignments use the primary polar
axis. Axis domains, clipping and stack partitions follow that identity. See
named numeric polar axes.
Measured polar layout shares tick
decisions across labels, grids, resize and export. Authored axes reserve bounded
gutters; labels/titles that cannot fit follow a documented omission order while
marks and raw inspection remain available. Runtime placement uses
rendererOptions.polarAxis.placement, is bounded and validated, and must be
reattached after restoring a saved model. This does not add polar navigation or
mixed polar composition.