JavaScript Box Plot Chart

Creates a JavaScript Box Plot Chart using SciChart.js, using our new FastBoxPlotRenderableSeries chart type.

Also Known As: Box-and-Whisker Plot.

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drawExample.ts

index.html

vanilla.ts

theme.ts

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1import {
2    BoxPlotDataSeries,
3    CategoryAxis,
4    EAutoRange,
5    EAxisAlignment,
6    EDataPointWidthMode,
7    ENumericFormat,
8    FastBoxPlotRenderableSeries,
9    ICategoryAxisOptions,
10    NumberRange,
11    NumericAxis,
12    Rect,
13    SciChartSubSurface,
14    SciChartSurface,
15    ZoomExtentsModifier,
16    ZoomPanModifier,
17} from "scichart";
18import { appTheme } from "../../../theme";
19
20const NUMERIC_AXIS_OPTIONS = {
21    axisAlignment: EAxisAlignment.Left,
22    growBy: new NumberRange(0.05, 0.05),
23    autoRange: EAutoRange.Once,
24    flippedCoordinates: false,
25    labelFormat: ENumericFormat.Decimal,
26    labelPrecision: 0,
27};
28
29export const drawExample = async (rootElement: string | HTMLDivElement) => {
30    const { sciChartSurface, wasmContext } = await SciChartSurface.create(rootElement);
31
32    // 1st sub-surface
33    const sub1 = SciChartSubSurface.createSubSurface(sciChartSurface, {
34        position: new Rect(0, 0, 0.5, 1),
35        theme: appTheme.SciChartJsTheme,
36    });
37
38    sub1.xAxes.add(
39        new CategoryAxis(wasmContext, {
40            growBy: new NumberRange(0.05, 0.05),
41            labels: ["P1", "P2", "P3", "P4", "P5", "P6"],
42            axisAlignment: EAxisAlignment.Left,
43        })
44    );
45    sub1.yAxes.add(
46        new NumericAxis(wasmContext, {
47            axisAlignment: EAxisAlignment.Bottom,
48            growBy: new NumberRange(0.05, 0.05),
49            autoRange: EAutoRange.Once,
50            flippedCoordinates: true,
51            labelFormat: ENumericFormat.Decimal,
52            labelPrecision: 0,
53        })
54    );
55
56    const boxSeries1 = new FastBoxPlotRenderableSeries(wasmContext, {
57        dataSeries: new BoxPlotDataSeries(wasmContext, {
58            xValues: [1, 2, 3, 4, 5, 6],
59            minimumValues: [0, 1, 0.5, 0, 1, 0.5],
60            maximumValues: [10, 9, 9.5, 10, 9, 9.5],
61            medianValues: [4.5, 5.5, 5, 4.5, 5.5, 5],
62            lowerQuartileValues: [3, 4, 3.5, 3, 4, 3.5],
63            upperQuartileValues: [7, 6, 6.5, 7, 6, 6.5],
64        }),
65        stroke: appTheme.MutedSkyBlue,
66        fill: appTheme.MutedSkyBlue + "66",
67        strokeThickness: 2,
68        dataPointWidthMode: EDataPointWidthMode.Relative,
69        dataPointWidth: 0.5,
70        opacity: 0.8,
71        whiskers: {
72            stroke: appTheme.MutedSkyBlue,
73            strokeThickness: 2,
74            strokeDashArray: [5, 5],
75        },
76        cap: {
77            stroke: appTheme.MutedOrange,
78            strokeThickness: 2,
79            dataPointWidth: 0.5,
80        },
81        medianLine: {
82            stroke: appTheme.MutedOrange,
83            strokeThickness: 2,
84        },
85    });
86    sub1.renderableSeries.add(boxSeries1);
87
88    // 2nd sub-surface
89    const sub2 = SciChartSubSurface.createSubSurface(sciChartSurface, {
90        position: new Rect(0.5, 0, 0.5, 1),
91        theme: appTheme.SciChartJsTheme,
92    });
93
94    sub2.xAxes.add(
95        new NumericAxis(wasmContext, {
96            growBy: new NumberRange(0.1, 0.1),
97            autoRange: EAutoRange.Once,
98            labelFormat: ENumericFormat.Decimal,
99            labelPrecision: 0,
100        })
101    );
102    sub2.yAxes.add(
103        new NumericAxis(wasmContext, {
104            axisAlignment: EAxisAlignment.Left,
105            growBy: new NumberRange(0.05, 0.05),
106            autoRange: EAutoRange.Once,
107            flippedCoordinates: false,
108            labelFormat: ENumericFormat.Decimal,
109            labelPrecision: 0,
110        })
111    );
112
113    const boxSeries2 = new FastBoxPlotRenderableSeries(wasmContext, {
114        dataSeries: new BoxPlotDataSeries(wasmContext, {
115            xValues: [1, 2, 5, 7.5, 12],
116            minimumValues: [0, 1, 2, 5, 7],
117            lowerQuartileValues: [1, 2, 3.5, 6, 9],
118            medianValues: [3, 2.8, 6, 7, 10],
119            upperQuartileValues: [4, 3, 8, 9, 11],
120            maximumValues: [5, 4, 9.5, 10, 13],
121        }),
122        stroke: appTheme.MutedTeal,
123        fill: appTheme.MutedPurple + "66",
124        strokeThickness: 1,
125        dataPointWidthMode: EDataPointWidthMode.Range,
126        dataPointWidth: 0.6,
127        opacity: 0.8,
128        whiskers: {
129            stroke: appTheme.MutedTeal,
130            strokeThickness: 1,
131        },
132        cap: {
133            stroke: appTheme.MutedPurple,
134            strokeThickness: 2,
135            dataPointWidth: 0.5,
136        },
137        medianLine: {
138            stroke: appTheme.MutedPurple,
139            strokeThickness: 2,
140        },
141    });
142    sub2.chartModifiers.add(new ZoomPanModifier(), new ZoomExtentsModifier());
143    sub2.renderableSeries.add(boxSeries2);
144
145    return { sciChartSurface, wasmContext };
146};
147

Box Plot Chart - JavaScript

Overview

This example demonstrates how to create a Box Plot Chart using SciChart.js in JavaScript, showcasing four distinct box plot visualizations in sub-surfaces. Each plot displays statistical data distribution through minimum, maximum, median, and quartile values.

Technical Implementation

The chart initializes asynchronously using SciChartSurface.create(), with four sub-surfaces created via SciChartSubSurface. Each surface uses a CategoryAxis for X-values and NumericAxis for Y-values. The box plots are rendered using FastBoxPlotRenderableSeries with BoxPlotDataSeries for data storage. Key configurations include dataPointWidthMode and custom styling for whiskers, caps, and median lines.

Features and Capabilities

The example highlights multiple box plots with varied datasets and orientations, including flipped coordinates. Each plot features distinct colors and styling, demonstrating customization options for whiskers, caps, and median lines.

Integration and Best Practices

The implementation follows best practices for asynchronous chart initialization and cleanup. Developers can extend this example by integrating dynamic data updates or additional interactive modifiers.

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