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 = [
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 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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