@nebula.js/sn-distributionplot
v0.40.8
Published
Distributionplot supernova
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@nebula.js/sn-distributionplot
The distribution plot is suitable for comparing range and distribution for groups of numerical data. Data is plotted as value points along an axis.
Requirements
Requires @nebula.js/stardust
version 1.4.0
or later.
Installing
If you use pnpm: pnpm install @nebula.js/sn-distributionplot
. You can also load through the script tag directly from https://unpkg.com.
Usage
In a distribution plot you need to use one or two dimensions, and one measure. If you use a single dimension you will receive a single line visualization. If you use two dimensions, you will get one line for each value of the second, or outer, dimension.
import { embed } from '@nebula.js/stardust';
import distributionplot from '@nebula.js/sn-distributionplot';
// 'app' is an enigma app model
const embeddable = embed(app, {
types: [
{
// register distribution plot chart
name: 'distributionplot',
load: () => Promise.resolve(distributionplot),
},
],
});
embeddable.render({
element,
type: 'distributionplot',
fields: ['Product Sub Group', 'Product Group', '=Avg(Sales)'],
});
More examples
Vertical distribution plot
Setting orientation
property value to vertical
. Default value is horizontal
.
embeddable.render({
element,
type: 'distributionplot',
fields: ['Product Sub Group', 'Product Group', '=Avg(Sales)'],
// overrides default properties
properties: {
orientation: 'vertical',
},
});
Different ways to present distribution plot
Points only
Displays value points only.
embeddable.render({
element,
type: 'distributionplot',
fields: ['Product Sub Group', 'Product Group', '=Avg(Sales)'],
// overrides default properties
properties: {
presentation: {
visibleComponents: 'points',
},
},
});
Background only
Displays a bounding box showing the range of the values only.
embeddable.render({
element,
type: 'distributionplot',
fields: ['Product Sub Group', 'Product Group', '=Avg(Sales)'],
// overrides default properties
properties: {
presentation: {
visibleComponents: 'box',
},
},
});
Bubble size and jitter
You can adjust the size of the bubbles that illustrate the value points by setting bubbleScales
value.
You can set displacement
to jitter
to jitter several overlapping value points. This moves some of the points slightly to create a larger footprint that shows that there are more than one value behind the point.
embeddable.render({
element,
type: 'distributionplot',
fields: ['Product Sub Group', 'Product Group', '=Avg(Sales)'],
// overrides default properties
properties: {
dataPoint: {
bubbleScales: 90,
displacement: 'jitter',
},
},
});