Pie
Show the share of a single series as slices.
Chart ID: pie. Independent import: @revolist/charts/pie.
Live example
Section titled “Live example”Loading chart…
Reading the chart
Section titled “Reading the chart”Compare non-negative parts of a whole through slice angles. Keep the category count small; bind an independent radius measure only when that second encoding is intentional.
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 | 1–2 |
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 createPieChart after the host mounts. This factory fixes the chart type to pie.
<div id="chart" style="width: 100%; height: 450px;"></div>Complete runnable TypeScript example with sample data
import { createPieChart } from '@revolist/charts/pie';
const container = document.getElementById('chart')!;const chart = await createPieChart({ container, "dataset": { "revision": 0, "source": "client", "categories": [ { "id": "preview-category-0", "label": "North", "path": [ "North" ], "labels": [ "North" ], "depth": 1, "kind": "leaf" }, { "id": "preview-category-1", "label": "South", "path": [ "South" ], "labels": [ "South" ], "depth": 1, "kind": "leaf" }, { "id": "preview-category-2", "label": "West", "path": [ "West" ], "labels": [ "West" ], "depth": 1, "kind": "leaf" }, { "id": "preview-category-3", "label": "East", "path": [ "East" ], "labels": [ "East" ], "depth": 1, "kind": "leaf" } ], "series": [ { "id": "preview-series-0", "label": "Revenue", "columnPath": [ "Revenue" ], "labels": [ "Revenue" ], "kind": "leaf", "prop": "preview-0" } ], "values": [ [ 38 ], [ 27 ], [ 21 ], [ 14 ] ], "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" } ], "observations": [ { "id": "[\"preview-category-0\",\"preview-series-0\"]", "dimensions": { "pivot:category": { "value": "North", "label": "North", "path": [ "North" ], "labels": [ "North" ] }, "pivot:series": { "value": "Revenue", "label": "Revenue", "path": [ "Revenue" ], "labels": [ "Revenue" ] } }, "measures": { "preview-series-0": 38 } }, { "id": "[\"preview-category-1\",\"preview-series-0\"]", "dimensions": { "pivot:category": { "value": "South", "label": "South", "path": [ "South" ], "labels": [ "South" ] }, "pivot:series": { "value": "Revenue", "label": "Revenue", "path": [ "Revenue" ], "labels": [ "Revenue" ] } }, "measures": { "preview-series-0": 27 } }, { "id": "[\"preview-category-2\",\"preview-series-0\"]", "dimensions": { "pivot:category": { "value": "West", "label": "West", "path": [ "West" ], "labels": [ "West" ] }, "pivot:series": { "value": "Revenue", "label": "Revenue", "path": [ "Revenue" ], "labels": [ "Revenue" ] } }, "measures": { "preview-series-0": 21 } }, { "id": "[\"preview-category-3\",\"preview-series-0\"]", "dimensions": { "pivot:category": { "value": "East", "label": "East", "path": [ "East" ], "labels": [ "East" ] }, "pivot:series": { "value": "Revenue", "label": "Revenue", "path": [ "Revenue" ], "labels": [ "Revenue" ] } }, "measures": { "preview-series-0": 14 } } ], "matrixCells": [ { "categoryId": "preview-category-0", "seriesId": "preview-series-0", "observationId": "[\"preview-category-0\",\"preview-series-0\"]", "measureFieldId": "preview-series-0" }, { "categoryId": "preview-category-1", "seriesId": "preview-series-0", "observationId": "[\"preview-category-1\",\"preview-series-0\"]", "measureFieldId": "preview-series-0" }, { "categoryId": "preview-category-2", "seriesId": "preview-series-0", "observationId": "[\"preview-category-2\",\"preview-series-0\"]", "measureFieldId": "preview-series-0" }, { "categoryId": "preview-category-3", "seriesId": "preview-series-0", "observationId": "[\"preview-category-3\",\"preview-series-0\"]", "measureFieldId": "preview-series-0" } ] } }, "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 |
innerRadius | 0 | 0 to 0.95; step 0.05 |
startAngle | -90 | -360 to 360; step 1 |
sweepAngle | 360 | 1 to 360; step 1 |
calloutLabels | false | true 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.
Related charts
Section titled “Related charts”- Donut — Show part-to-whole values in one or more rings.
- Semi-donut — Show part-to-whole values across a compact semicircle.
- Waffle — Compare part-to-whole values on a compact 100-cell grid.