radar

雷达图

雷达图
1export const RadarChart = memo(() => {
2  const vseed: VSeed = {
3    chartType: 'radar',
4    dataset: [{ profit: 10, sales: 20, count: 50, rateOfReturn: 1 }],
5  }
6  return <VChartRender vseed={vseed} />
7})

组合雷达图

组合雷达图
1export const CombinationRadarChart = memo(() => {
2  const vseed: VSeed = {
3    chartType: 'radar',
4    dataset: [
5      { date: '2019', profit: 10, sales: 20, rateOfReturn: 0.1 },
6      { date: '2020', profit: 20, sales: 40, rateOfReturn: 0.2 },
7      { date: '2021', profit: 30, sales: 60, rateOfReturn: 0.3 },
8      { date: '2022', profit: 40, sales: 80, rateOfReturn: 0.4 },
9      { date: '2023', profit: 50, sales: 100, rateOfReturn: 0.5 },
10    ],
11    dimensions: [
12      {
13        id: 'date',
14        alias: '日期',
15      },
16    ],
17    measures: [
18      {
19        id: 'sales',
20        alias: 'sales',
21        parentId: 'sales-and-profit',
22      },
23      {
24        id: 'profit',
25        alias: '利润',
26        parentId: 'sales-and-profit',
27      },
28      {
29        id: 'rateOfReturn',
30        alias: '回报率',
31        parentId: 'ratio',
32      },
33    ],
34  }
35  return <PivotChart vseed={vseed} />
36})

透视组合雷达图

1export const PivotRadarChart = memo(() => {
2  const vseed: VSeed = {
3    chartType: 'radar',
4    dimensions: [
5      { id: 'category', alias: '类别' },
6      { id: 'date', alias: '日期', encoding: 'column' },
7      { id: 'region', alias: '区域', encoding: 'row' },
8    ],
9    measures: [
10      { id: 'sales', alias: '销售额', parentId: 'group-sales' },
11      { id: 'profit', alias: '利润' },
12    ],
13    dataset: [
14      { date: '2019', region: 'east', category: 'Grocery', profit: 10, sales: 100 },
15      { date: '2019', region: 'east', category: 'Beverages', profit: 30, sales: 3200 },
16      { date: '2019', region: 'east', category: 'Dairy', profit: 30, sales: 300 },
17      { date: '2019', region: 'east', category: 'Household', profit: 50, sales: 2400 },
18      { date: '2019', region: 'east', category: 'Personal', profit: 40, sales: 500 },
19      { date: '2019', region: 'west', category: 'Grocery', profit: 10, sales: 100 },
20      { date: '2019', region: 'west', category: 'Beverages', profit: 30, sales: 3200 },
21      { date: '2019', region: 'west', category: 'Dairy', profit: 30, sales: 300 },
22      { date: '2019', region: 'west', category: 'Household', profit: 50, sales: 2400 },
23      { date: '2019', region: 'west', category: 'Personal', profit: 40, sales: 500 },
24
25      { date: '2020', region: 'east', category: 'Grocery', profit: 10, sales: 100 },
26      { date: '2020', region: 'east', category: 'Beverages', profit: 30, sales: 3200 },
27      { date: '2020', region: 'east', category: 'Dairy', profit: 30, sales: 300 },
28      { date: '2020', region: 'east', category: 'Household', profit: 50, sales: 2400 },
29      { date: '2020', region: 'east', category: 'Personal', profit: 40, sales: 500 },
30      { date: '2020', region: 'west', category: 'Grocery', profit: 10, sales: 100 },
31      { date: '2020', region: 'west', category: 'Beverages', profit: 30, sales: 3200 },
32      { date: '2020', region: 'west', category: 'Dairy', profit: 30, sales: 300 },
33      { date: '2020', region: 'west', category: 'Household', profit: 50, sales: 2400 },
34      { date: '2020', region: 'west', category: 'Personal', profit: 40, sales: 500 },
35
36      { date: '2021', region: 'east', category: 'Grocery', profit: 10, sales: 100 },
37      { date: '2021', region: 'east', category: 'Beverages', profit: 30, sales: 3200 },
38      { date: '2021', region: 'east', category: 'Dairy', profit: 30, sales: 300 },
39      { date: '2021', region: 'east', category: 'Household', profit: 50, sales: 2400 },
40      { date: '2021', region: 'east', category: 'Personal', profit: 40, sales: 500 },
41      { date: '2021', region: 'west', category: 'Grocery', profit: 10, sales: 100 },
42      { date: '2021', region: 'west', category: 'Beverages', profit: 30, sales: 3200 },
43    ],
44  }
45  return <PivotChart vseed={vseed} />
46})