Creates a Angular 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
angular.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 = ["Complexity", "Memory Usage", "Stability", "Adaptability", "Scalability", "Cache Efficiency"];
23
24const DATA_SET = [
25 {
26 name: "Quick Sort",
27 color: appTheme.VividSkyBlue,
28 values: [7, 8, 2, 8, 9, 9],
29 },
30 {
31 name: "Bubble Sort",
32 color: appTheme.VividOrange,
33 values: [2, 9, 10, 5, 1, 2],
34 },
35];
36
37// this chart expresses the complexity, memory usage, stability, adaptability, scalability, and cache efficiency of two sorting algorithms
38
39export const drawExample = async (rootElement: string | HTMLDivElement) => {
40 const { sciChartSurface, wasmContext } = await SciChartPolarSurface.create(rootElement, {
41 theme: appTheme.SciChartJsTheme,
42 });
43
44 const radialYAxis = new PolarNumericAxis(wasmContext, {
45 polarAxisMode: EPolarAxisMode.Radial,
46 gridlineMode: EPolarGridlineMode.Polygons,
47 useNativeText: true,
48 labelPrecision: 0,
49 zoomExtentsToInitialRange: true,
50
51 majorGridLineStyle: {
52 color: EColor.BackgroundColor,
53 strokeThickness: 1,
54 strokeDashArray: [5, 5],
55 },
56 drawLabels: false,
57 drawMinorGridLines: false,
58 drawMajorTickLines: false,
59 drawMinorTickLines: false,
60 startAngle: Math.PI / 2, // start at 12 o'clock
61 innerRadius: 0,
62 });
63 sciChartSurface.yAxes.add(radialYAxis);
64
65 const angularXAxis = new PolarCategoryAxis(wasmContext, {
66 polarAxisMode: EPolarAxisMode.Angular,
67 labels: LABELS,
68 majorGridLineStyle: {
69 color: EColor.BackgroundColor,
70 strokeThickness: 1,
71 strokeDashArray: [5, 5],
72 },
73 flippedCoordinates: true, // go clockwise
74 drawMinorGridLines: false,
75 useNativeText: true,
76 polarLabelMode: EPolarLabelMode.Horizontal,
77 labelFormat: ENumericFormat.NoFormat,
78 startAngle: Math.PI / 2, // start at 12 o'clock
79 });
80 sciChartSurface.xAxes.add(angularXAxis);
81
82 const xValues = Array.from({ length: LABELS.length + 1 }, (_, i) => i);
83 // +1 to complete the radar chart without overlap of first and last labels
84
85 const polarMountain = new PolarMountainRenderableSeries(wasmContext, {
86 dataSeries: new XyDataSeries(wasmContext, {
87 xValues: xValues,
88 yValues: [...DATA_SET[0].values, DATA_SET[0].values[0]], // +1 append first value to complete the radar chart
89 dataSeriesName: DATA_SET[0].name,
90 }),
91 stroke: DATA_SET[0].color,
92 fill: DATA_SET[0].color + "30",
93 strokeThickness: 4,
94 animation: new FadeAnimation({ duration: 1000 }),
95 });
96 sciChartSurface.renderableSeries.add(polarMountain);
97
98 // You can just as well use a PolarLineRenderableSeries
99 const polarLine = new PolarLineRenderableSeries(wasmContext, {
100 dataSeries: new XyDataSeries(wasmContext, {
101 xValues: xValues,
102 yValues: [...DATA_SET[1].values, DATA_SET[1].values[0]], // +1 append first value to complete the radar chart
103 dataSeriesName: DATA_SET[1].name,
104 }),
105 stroke: DATA_SET[1].color,
106 strokeThickness: 4,
107 pointMarker: new EllipsePointMarker(wasmContext, {
108 width: 10,
109 height: 10,
110 strokeThickness: 2,
111 fill: DATA_SET[1].color,
112 stroke: EColor.White,
113 }),
114 animation: new FadeAnimation({ duration: 1000 }),
115 });
116 sciChartSurface.renderableSeries.add(polarLine);
117
118 sciChartSurface.chartModifiers.add(
119 new PolarPanModifier(),
120 new PolarZoomExtentsModifier(),
121 new PolarMouseWheelZoomModifier({ growFactor: 0.0002 }),
122 new PolarLegendModifier({ showSeriesMarkers: true, showCheckboxes: true })
123 );
124
125 return { sciChartSurface, wasmContext };
126};
127This example shows how to integrate a Polar Radar Chart into an Angular standalone component using SciChart Angular. It displays comparative metrics of sorting algorithms on a radial framework.
Within the Angular AppComponent, drawExample is passed to SciChartPolarSurface.create()sets up the chart and WASM context. A PolarNumericAxis and PolarCategoryAxis configure radial polygons and angular categories, with start angles at 12 o’clock. Two XyDataSeries complete the radar loops and render as PolarMountainRenderableSeries and PolarLineRenderableSeries with fade-in animations. Modifiers (PolarPanModifier, PolarZoomExtentsModifier, PolarMouseWheelZoomModifier, PolarLegendModifier) enrich interactivity.Polar Radar Chart docs
Utilizes WebGL for high throughput, supports animated transitions, transparent fills, and interactive legend controls. Charts can be updated in real time by updating the data series.
Declare drawExample in the component class, and ensure sciChartSurface.delete() is invoked on component destruction. Use Angular’s standalone component pattern for modularity, and apply useNativeText to optimize label rendering on high-DPI devices.

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