Creates a JavaScript Polar Radar Chart, also known as a Spider Chart using SciChart.js, which expresses the complexity, memory usage, stability, adaptability, scalability, and cache efficiency of two popular sorting algorithms
This type of plot is also Known As: Spider Chart, Web Chart, Cobweb Chart, and Kiviat Chart
drawExample.ts
index.html
vanilla.ts
theme.ts
1import {
2 PolarMouseWheelZoomModifier,
3 PolarZoomExtentsModifier,
4 PolarPanModifier,
5 XyDataSeries,
6 PolarNumericAxis,
7 SciChartPolarSurface,
8 EColor,
9 EPolarAxisMode,
10 EPolarGridlineMode,
11 PolarCategoryAxis,
12 ENumericFormat,
13 EPolarLabelMode,
14 PolarMountainRenderableSeries,
15 FadeAnimation,
16 PolarLegendModifier,
17 EllipsePointMarker,
18 PolarLineRenderableSeries,
19} from "scichart";
20import { appTheme } from "../../../theme";
21
22const LABELS = [
23 "Complexity",
24 "Memory Usage",
25 "Stability",
26 "Adaptability",
27 "Scalability",
28 "Cache Efficiency"
29];
30
31const DATA_SET = [
32 {
33 name: "Quick Sort",
34 color: appTheme.VividSkyBlue,
35 values: [7, 8, 2, 8, 9, 9]
36 },
37 {
38 name: "Bubble Sort",
39 color: appTheme.VividOrange,
40 values: [2, 9, 10, 5, 1, 2],
41 },
42]
43
44// this chart expresses the complexity, memory usage, stability, adaptability, scalability, and cache efficiency of two sorting algorithms
45
46export const drawExample = async (rootElement: string | HTMLDivElement) => {
47 const { sciChartSurface, wasmContext } = await SciChartPolarSurface.create(rootElement, {
48 theme: appTheme.SciChartJsTheme
49 });
50
51 const radialYAxis = new PolarNumericAxis(wasmContext, {
52 polarAxisMode: EPolarAxisMode.Radial,
53 gridlineMode: EPolarGridlineMode.Polygons,
54 useNativeText: true,
55 labelPrecision: 0,
56 zoomExtentsToInitialRange: true,
57
58 majorGridLineStyle: {
59 color: EColor.BackgroundColor,
60 strokeThickness: 1,
61 strokeDashArray: [5, 5]
62 },
63 labelStyle: {
64 color: EColor.White,
65 fontSize: 16,
66 },
67 drawLabels: false,
68 drawMinorGridLines: false,
69 drawMajorTickLines: false,
70 drawMinorTickLines: false,
71 startAngle: Math.PI / 2, // start at 12 o'clock
72 innerRadius: 0,
73 });
74 sciChartSurface.yAxes.add(radialYAxis);
75
76 const angularXAxis = new PolarCategoryAxis(wasmContext, {
77 polarAxisMode: EPolarAxisMode.Angular,
78 labels: LABELS,
79 labelStyle: {
80 fontSize: 16,
81 color: EColor.White,
82 },
83 majorGridLineStyle: {
84 color: EColor.BackgroundColor,
85 strokeThickness: 1,
86 strokeDashArray: [5, 5]
87 },
88 flippedCoordinates: true, // go clockwise
89 drawMinorGridLines: false,
90 useNativeText: true,
91 polarLabelMode: EPolarLabelMode.Horizontal,
92 labelFormat: ENumericFormat.NoFormat,
93 startAngle: Math.PI / 2, // start at 12 o'clock
94 });
95 sciChartSurface.xAxes.add(angularXAxis);
96
97 const xValues = Array.from({ length: LABELS.length + 1 }, (_, i) => i);
98 // +1 to complete the radar chart without overlap of first and last labels
99
100 const polarMountain = new PolarMountainRenderableSeries(wasmContext, {
101 dataSeries: new XyDataSeries(wasmContext, {
102 xValues: xValues,
103 yValues: [...DATA_SET[0].values, DATA_SET[0].values[0]], // +1 append first value to complete the radar chart
104 dataSeriesName: DATA_SET[0].name
105 }),
106 stroke: DATA_SET[0].color,
107 fill: DATA_SET[0].color + "30",
108 strokeThickness: 4,
109 animation: new FadeAnimation({ duration: 1000 })
110 });
111 sciChartSurface.renderableSeries.add(polarMountain);
112
113 // You can just as well use a PolarLineRenderableSeries
114 const polarLine = new PolarLineRenderableSeries(wasmContext, {
115 dataSeries: new XyDataSeries(wasmContext, {
116 xValues: xValues,
117 yValues: [...DATA_SET[1].values, DATA_SET[1].values[0]], // +1 append first value to complete the radar chart
118 dataSeriesName: DATA_SET[1].name
119 }),
120 stroke: DATA_SET[1].color,
121 strokeThickness: 4,
122 pointMarker: new EllipsePointMarker(wasmContext, {
123 width: 10,
124 height: 10,
125 strokeThickness: 2,
126 fill: DATA_SET[1].color,
127 stroke: EColor.White,
128 }),
129 animation: new FadeAnimation({ duration: 1000 })
130 });
131 sciChartSurface.renderableSeries.add(polarLine);
132
133 sciChartSurface.chartModifiers.add(
134 new PolarPanModifier(),
135 new PolarZoomExtentsModifier(),
136 new PolarMouseWheelZoomModifier({ growFactor: 0.0002 }),
137 new PolarLegendModifier({ showSeriesMarkers: true, showCheckboxes: true }),
138 );
139
140 return { sciChartSurface, wasmContext };
141};
142This example shows how to build a Polar Radar Chart in vanilla JavaScript with SciChart.js, comparing attributes like complexity and scalability of Quick Sort and Bubble Sort using polar series representations.
The chart uses async creation of SciChartPolarSurface, setting up PolarNumericAxis and PolarCategoryAxis with custom gridlines and labels. It employs PolarMountainRenderableSeries and PolarLineRenderableSeries backed by XyDataSeries, incorporating optimizations like native text and precise label formatting for efficient rendering, as explained in the Polar Radar Chart guide.
It enables real-time data updates through series manipulation and offers custom features including fade animations, ellipse point markers, and modifiers like PolarMouseWheelZoomModifier for interactive zooming and panning.
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