@nebula.js/sn-boxplot
v0.38.5
Published
Boxplot supernova
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@nebula.js/sn-boxplot
The box plot is suitable for comparing range and distribution for groups of numerical data, illustrated by a box with whiskers, and a center line in the middle. The whiskers represent high and low reference values for excluding outlier values.
Requirements
Requires @nebula.js/stardust
version 1.4.0
or later.
Installing
If you use pnpm: pnpm install @nebula.js/sn-boxplot
. You can also load through the script tag directly from https://unpkg.com.
Usage
import { embed } from '@nebula.js/stardust';
import boxplot from '@nebula.js/sn-boxplot';
// 'app' is an enigma app model
const embeddable = embed(app, {
types: [
{
// register box plot chart
name: 'boxplot',
load: () => Promise.resolve(boxplot),
},
],
});
embeddable.render({
element,
type: 'boxplot',
fields: ['Region', 'Product Group', '=Avg(Sales)'],
});
More examples
Percentile-based
This preset is defined with the box start and end points representing the first and third quartiles, and the center line representing the median, but the whisker length is adjusted by setting a percentile based whisker position. The example is using 5th/95th percentile. Setting mode
in calculations
to fractiles
and fractiles
in parameters
to 0.05
.
// 'app' is an enigma app model
embeddable.render({
element,
type: 'boxplot',
fields: ['Region', 'Product Group', '=Avg(Sales)'],
// overrides default properties
properties: {
boxplotDef: {
calculations: {
auto: true,
mode: 'fractiles',
parameters: {
tukey: 1.5,
fractiles: 0.05,
stdDev: 3,
},
},
color: {
auto: true,
},
elements: {
outliers: {
include: true,
sortOutliers: true,
},
},
presentation: {
whiskers: {
show: true,
},
},
qHyperCubeDef: {},
sorting: {
autoSort: true,
},
},
},
});
Standard deviation
This preset is based on standard deviations, with the center line representing the average value, and the box start and end points representing one standard deviation variance. You can set the whisker length to a multiple of standard deviations. The example is using two standard deviations. Setting mode
in calculations
to stdDev
and stdDev
in parameters
to 3
.
// 'app' is an enigma app model
embeddable.render({
element,
type: 'boxplot',
fields: ['Region', 'Product Group', '=Avg(Sales)'],
// overrides default properties
properties: {
boxplotDef: {
calculations: {
auto: true,
mode: 'stdDev',
parameters: {
tukey: 1.5,
fractiles: 0.05,
stdDev: 3,
},
},
color: {
auto: true,
},
elements: {
outliers: {
include: true,
sortOutliers: true,
},
},
presentation: {
whiskers: {
show: true,
},
},
qHyperCubeDef: {},
sorting: {
autoSort: true,
},
},
},
});
Customized box plot
The example defines elements
using custom expressions, color
and orientation
.
The example based on the original box plot definition by J. Tukey. The center line represents the median (second quartile), and the box start and end points represent the first and third quartiles. Whisker length is set to 2 inter-quartile ranges. An inter-quartile range represents the difference between the first and third quartiles.
// 'app' is an enigma app model
embeddable.render({
element,
type: 'boxplot',
fields: ['Region', 'Product Group', '=Avg(Sales)'],
// overrides default properties
properties: {
boxplotDef: {
calculations: {
auto: false,
mode: 'tukey',
parameters: {
tukey: 2,
fractiles: 0.05,
stdDev: 3,
},
},
color: {
auto: false,
box: {
paletteColor: {
color: '#66ccbb',
index: -1,
},
},
point: {
paletteColor: {
color: '#cc6677',
index: -1,
},
},
},
elements: {
firstWhisker: {
name: '',
expression: {
qValueExpression: {
qExpr:
'Rangemax(Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.25 ) - ((Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.75 ) - Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.25 )) * 2), Min( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ))',
},
},
},
boxStart: {
name: '',
expression: {
qValueExpression: {
qExpr: 'Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.25 )',
},
},
},
boxMiddle: {
name: '',
expression: {
qValueExpression: {
qExpr: 'Median( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) )',
},
},
},
boxEnd: {
name: '',
expression: {
qValueExpression: {
qExpr: 'Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.75 )',
},
},
},
lastWhisker: {
name: '',
expression: {
qValueExpression: {
qExpr:
'Rangemin(Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.75 ) + ((Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.75 ) - Fractile( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ,0.25 )) * 2), Max( total <[Product Group]> Aggr( Avg(Sales), [Product Group], [Region] ) ))',
},
},
},
outliers: {
include: true,
sortOutliers: true,
},
},
presentation: {
whiskers: {
show: true,
},
},
qHyperCubeDef: {},
sorting: {
autoSort: true,
},
},
orientation: 'horizontal',
},
});