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Strip and dot plot

Show the distribution of individual values along one axis.

Chart ID: stripDot. Independent import: @revolist/charts/strip-dot.

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Inspect individual numeric observations along an axis. Coincident values may overlap, so use a histogram or distribution chart when density is the main question.

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

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 createStripDotChart after the host mounts. This factory fixes the chart type to stripDot.

<div id="chart" style="width: 100%; height: 450px;"></div>
Complete runnable TypeScript example with sample data
import { createStripDotChart } from '@revolist/charts/strip-dot';
const container = document.getElementById('chart')!;
const chart = await createStripDotChart({
container,
"dataset": {
"revision": 0,
"source": "client",
"categories": [
{
"id": "preview-category-0",
"label": "12",
"path": [
"12"
],
"labels": [
"12"
],
"depth": 1,
"kind": "leaf"
},
{
"id": "preview-category-1",
"label": "18",
"path": [
"18"
],
"labels": [
"18"
],
"depth": 1,
"kind": "leaf"
},
{
"id": "preview-category-2",
"label": "23",
"path": [
"23"
],
"labels": [
"23"
],
"depth": 1,
"kind": "leaf"
},
{
"id": "preview-category-3",
"label": "27",
"path": [
"27"
],
"labels": [
"27"
],
"depth": 1,
"kind": "leaf"
},
{
"id": "preview-category-4",
"label": "31",
"path": [
"31"
],
"labels": [
"31"
],
"depth": 1,
"kind": "leaf"
},
{
"id": "preview-category-5",
"label": "35",
"path": [
"35"
],
"labels": [
"35"
],
"depth": 1,
"kind": "leaf"
},
{
"id": "preview-category-6",
"label": "42",
"path": [
"42"
],
"labels": [
"42"
],
"depth": 1,
"kind": "leaf"
},
{
"id": "preview-category-7",
"label": "48",
"path": [
"48"
],
"labels": [
"48"
],
"depth": 1,
"kind": "leaf"
}
],
"series": [
{
"id": "preview-series-0",
"label": "Value",
"columnPath": [
"Value"
],
"labels": [
"Value"
],
"kind": "leaf",
"prop": "preview-0"
}
],
"values": [
[
12
],
[
18
],
[
23
],
[
27
],
[
31
],
[
35
],
[
42
],
[
48
]
],
"analyticalFrame": {
"derived": {
"distributions": [
{
"kind": "samples",
"categoryId": "preview-category-0",
"seriesId": "preview-series-0",
"samples": [
8,
12,
14,
18,
19,
23,
27,
31,
48
]
},
{
"kind": "samples",
"categoryId": "preview-category-1",
"seriesId": "preview-series-0",
"samples": [
10,
14,
16,
20,
21,
25,
29,
33,
50
]
},
{
"kind": "samples",
"categoryId": "preview-category-2",
"seriesId": "preview-series-0",
"samples": [
12,
16,
18,
22,
23,
27,
31,
35,
52
]
},
{
"kind": "samples",
"categoryId": "preview-category-3",
"seriesId": "preview-series-0",
"samples": [
14,
18,
20,
24,
25,
29,
33,
37,
54
]
},
{
"kind": "samples",
"categoryId": "preview-category-4",
"seriesId": "preview-series-0",
"samples": [
16,
20,
22,
26,
27,
31,
35,
39,
56
]
},
{
"kind": "samples",
"categoryId": "preview-category-5",
"seriesId": "preview-series-0",
"samples": [
18,
22,
24,
28,
29,
33,
37,
41,
58
]
},
{
"kind": "samples",
"categoryId": "preview-category-6",
"seriesId": "preview-series-0",
"samples": [
20,
24,
26,
30,
31,
35,
39,
43,
60
]
},
{
"kind": "samples",
"categoryId": "preview-category-7",
"seriesId": "preview-series-0",
"samples": [
22,
26,
28,
32,
33,
37,
41,
45,
62
]
}
]
},
"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": "Value",
"role": "measure",
"semanticType": "number",
"sourceField": "preview-0"
}
],
"observations": [
{
"id": "[\"preview-category-0\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "12",
"label": "12",
"path": [
"12"
],
"labels": [
"12"
]
},
"pivot:series": {
"value": "Value",
"label": "Value",
"path": [
"Value"
],
"labels": [
"Value"
]
}
},
"measures": {
"preview-series-0": 12
}
},
{
"id": "[\"preview-category-1\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "18",
"label": "18",
"path": [
"18"
],
"labels": [
"18"
]
},
"pivot:series": {
"value": "Value",
"label": "Value",
"path": [
"Value"
],
"labels": [
"Value"
]
}
},
"measures": {
"preview-series-0": 18
}
},
{
"id": "[\"preview-category-2\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "23",
"label": "23",
"path": [
"23"
],
"labels": [
"23"
]
},
"pivot:series": {
"value": "Value",
"label": "Value",
"path": [
"Value"
],
"labels": [
"Value"
]
}
},
"measures": {
"preview-series-0": 23
}
},
{
"id": "[\"preview-category-3\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "27",
"label": "27",
"path": [
"27"
],
"labels": [
"27"
]
},
"pivot:series": {
"value": "Value",
"label": "Value",
"path": [
"Value"
],
"labels": [
"Value"
]
}
},
"measures": {
"preview-series-0": 27
}
},
{
"id": "[\"preview-category-4\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "31",
"label": "31",
"path": [
"31"
],
"labels": [
"31"
]
},
"pivot:series": {
"value": "Value",
"label": "Value",
"path": [
"Value"
],
"labels": [
"Value"
]
}
},
"measures": {
"preview-series-0": 31
}
},
{
"id": "[\"preview-category-5\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "35",
"label": "35",
"path": [
"35"
],
"labels": [
"35"
]
},
"pivot:series": {
"value": "Value",
"label": "Value",
"path": [
"Value"
],
"labels": [
"Value"
]
}
},
"measures": {
"preview-series-0": 35
}
},
{
"id": "[\"preview-category-6\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "42",
"label": "42",
"path": [
"42"
],
"labels": [
"42"
]
},
"pivot:series": {
"value": "Value",
"label": "Value",
"path": [
"Value"
],
"labels": [
"Value"
]
}
},
"measures": {
"preview-series-0": 42
}
},
{
"id": "[\"preview-category-7\",\"preview-series-0\"]",
"dimensions": {
"pivot:category": {
"value": "48",
"label": "48",
"path": [
"48"
],
"labels": [
"48"
]
},
"pivot:series": {
"value": "Value",
"label": "Value",
"path": [
"Value"
],
"labels": [
"Value"
]
}
},
"measures": {
"preview-series-0": 48
}
}
],
"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"
},
{
"categoryId": "preview-category-4",
"seriesId": "preview-series-0",
"observationId": "[\"preview-category-4\",\"preview-series-0\"]",
"measureFieldId": "preview-series-0"
},
{
"categoryId": "preview-category-5",
"seriesId": "preview-series-0",
"observationId": "[\"preview-category-5\",\"preview-series-0\"]",
"measureFieldId": "preview-series-0"
},
{
"categoryId": "preview-category-6",
"seriesId": "preview-series-0",
"observationId": "[\"preview-category-6\",\"preview-series-0\"]",
"measureFieldId": "preview-series-0"
},
{
"categoryId": "preview-category-7",
"seriesId": "preview-series-0",
"observationId": "[\"preview-category-7\",\"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.

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

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.

  • Histogram — Summarize one measure in deterministic numeric bins.

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