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100% stacked area

Show percentage contribution over an ordered axis.

Chart ID: normalizedArea. Independent import: @revolist/charts/normalized-area.

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Follow changes in composition over time. The complete stack stays at 100%, so the chart removes changes in the absolute total.

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.

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 createNormalizedAreaChart after the host mounts. This factory fixes the chart type to normalizedArea.

<div id="chart" style="width: 100%; height: 450px;"></div>
Complete runnable TypeScript example with sample data
import { createNormalizedAreaChart } from '@revolist/charts/normalized-area';
const container = document.getElementById('chart')!;
const chart = await createNormalizedAreaChart({
container,
"dataset": {
"revision": 0,
"source": "client",
"categories": [
{
"id": "preview-category-0",
"label": "Jan",
"path": [
"Jan"
],
"labels": [
"Jan"
],
"depth": 1,
"kind": "leaf"
},
{
"id": "preview-category-1",
"label": "Feb",
"path": [
"Feb"
],
"labels": [
"Feb"
],
"depth": 1,
"kind": "leaf"
},
{
"id": "preview-category-2",
"label": "Mar",
"path": [
"Mar"
],
"labels": [
"Mar"
],
"depth": 1,
"kind": "leaf"
},
{
"id": "preview-category-3",
"label": "Apr",
"path": [
"Apr"
],
"labels": [
"Apr"
],
"depth": 1,
"kind": "leaf"
}
],
"series": [
{
"id": "preview-series-0",
"label": "Current",
"columnPath": [
"Current"
],
"labels": [
"Current"
],
"kind": "leaf",
"prop": "preview-0"
},
{
"id": "preview-series-1",
"label": "Previous",
"columnPath": [
"Previous"
],
"labels": [
"Previous"
],
"kind": "leaf",
"prop": "preview-1"
}
],
"values": [
[
18,
29
],
[
44,
27
],
[
31,
45
],
[
62,
50
]
],
"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": "Current",
"role": "measure",
"semanticType": "number",
"sourceField": "preview-0"
},
{
"id": "preview-series-1",
"label": "Previous",
"role": "measure",
"semanticType": "number",
"sourceField": "preview-1"
}
],
"observations": [
{
"id": "[\"preview-category-0\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "Jan",
"label": "Jan",
"path": [
"Jan"
],
"labels": [
"Jan"
]
},
"pivot:series": {
"value": "Current",
"label": "Current",
"path": [
"Current"
],
"labels": [
"Current"
]
}
},
"measures": {
"preview-series-0": 18
}
},
{
"id": "[\"preview-category-0\",\"preview-series-1\"]",
"dimensions": {
"pivot:category": {
"value": "Jan",
"label": "Jan",
"path": [
"Jan"
],
"labels": [
"Jan"
]
},
"pivot:series": {
"value": "Previous",
"label": "Previous",
"path": [
"Previous"
],
"labels": [
"Previous"
]
}
},
"measures": {
"preview-series-1": 29
}
},
{
"id": "[\"preview-category-1\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "Feb",
"label": "Feb",
"path": [
"Feb"
],
"labels": [
"Feb"
]
},
"pivot:series": {
"value": "Current",
"label": "Current",
"path": [
"Current"
],
"labels": [
"Current"
]
}
},
"measures": {
"preview-series-0": 44
}
},
{
"id": "[\"preview-category-1\",\"preview-series-1\"]",
"dimensions": {
"pivot:category": {
"value": "Feb",
"label": "Feb",
"path": [
"Feb"
],
"labels": [
"Feb"
]
},
"pivot:series": {
"value": "Previous",
"label": "Previous",
"path": [
"Previous"
],
"labels": [
"Previous"
]
}
},
"measures": {
"preview-series-1": 27
}
},
{
"id": "[\"preview-category-2\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "Mar",
"label": "Mar",
"path": [
"Mar"
],
"labels": [
"Mar"
]
},
"pivot:series": {
"value": "Current",
"label": "Current",
"path": [
"Current"
],
"labels": [
"Current"
]
}
},
"measures": {
"preview-series-0": 31
}
},
{
"id": "[\"preview-category-2\",\"preview-series-1\"]",
"dimensions": {
"pivot:category": {
"value": "Mar",
"label": "Mar",
"path": [
"Mar"
],
"labels": [
"Mar"
]
},
"pivot:series": {
"value": "Previous",
"label": "Previous",
"path": [
"Previous"
],
"labels": [
"Previous"
]
}
},
"measures": {
"preview-series-1": 45
}
},
{
"id": "[\"preview-category-3\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "Apr",
"label": "Apr",
"path": [
"Apr"
],
"labels": [
"Apr"
]
},
"pivot:series": {
"value": "Current",
"label": "Current",
"path": [
"Current"
],
"labels": [
"Current"
]
}
},
"measures": {
"preview-series-0": 62
}
},
{
"id": "[\"preview-category-3\",\"preview-series-1\"]",
"dimensions": {
"pivot:category": {
"value": "Apr",
"label": "Apr",
"path": [
"Apr"
],
"labels": [
"Apr"
]
},
"pivot:series": {
"value": "Previous",
"label": "Previous",
"path": [
"Previous"
],
"labels": [
"Previous"
]
}
},
"measures": {
"preview-series-1": 50
}
}
],
"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-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-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-3",
"seriesId": "preview-series-0",
"observationId": "[\"preview-category-3\",\"preview-series-0\"]",
"measureFieldId": "preview-series-0"
},
{
"categoryId": "preview-category-3",
"seriesId": "preview-series-1",
"observationId": "[\"preview-category-3\",\"preview-series-1\"]",
"measureFieldId": "preview-series-1"
}
]
}
},
"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
showGridLinestruetrue or false
markOpacity10.2 to 1; step 0.05
strokeWidth21 to 6; step 0.5
fillOpacity0.340.1 to 0.9; step 0.01

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.

  • Area — Emphasize the magnitude of change over an ordered axis.
  • Stepped area — Emphasize stepwise changes with a filled baseline.
  • Stacked area — Show how multiple series contribute to a changing total.
  • Range area — Show how a lower-to-upper interval changes over categories.
  • Confidence band — Show an uncertainty band between lower and upper bounds.

Charts overview · Installation · Data & Configuration