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Multi-ring radial bar

Compare multiple series as concentric radial tracks.

Chart ID: multiRingRadialBar. Independent import: @revolist/charts/multi-ring-radial-bar.

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Compare several measures with concentric tracks. Enable radial stacking to accumulate measure sweeps within one category instead of giving each category/measure pair an independent ring.

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 roleField count
category1 or more
value1 or more
series1 or more

Download the complete sample data and settings (JSON). See Data & Configuration for mapping, null values, updates and lifecycle rules.

Install the package using the installation guide, give the host an explicit height, and call createMultiRingRadialBarChart after the host mounts. This factory fixes the chart type to multiRingRadialBar.

<div id="chart" style="width: 100%; height: 450px;"></div>
Complete runnable TypeScript example with sample data
import { createMultiRingRadialBarChart } from '@revolist/charts/multi-ring-radial-bar';
const container = document.getElementById('chart')!;
const chart = await createMultiRingRadialBarChart({
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.

Set these fields in chartOptions. The option schema validates supported keys, ranges and choices; updating chartOptions replaces that authored object.

OptionDefaultAccepted values
markOpacity10.2 to 1; step 0.05
radialStackingfalsetrue or false

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.

  • Rose — Compare category magnitude through radial sector length.
  • Radar line — Compare multiple series 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 series.
  • 100% stacked polar column — Compare percentage composition in radial columns.
  • Radial bar — Show one series as progress around radial tracks.
  • Radial column — Compare rectangular columns arranged around a polar axis.

Charts overview · Installation · Data & Configuration