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维度

维度

维度， 分普通维度,行维度,列维度, 设置行列维度, 图表将透视。

普通维度

1{
2  "chartType": "columnParallel",
3  "dimensions": [
4    { "id": "category", "alias": "类别", "location": "dimension" },
5    { "id": "date", "alias": "日期", "location": "dimension" },
6    { "id": "region", "alias": "区域", "location": "dimension" }
7  ],
8  "measures": [{ "id": "profit", "alias": "利润" }],
9  "dataset": [
10    { "date": "2019", "region": "east", "category": "Grocery", "profit": 10 },
11    { "date": "2019", "region": "east", "category": "Beverages", "profit": 30 },
12    { "date": "2019", "region": "east", "category": "Dairy", "profit": 30 },
13    { "date": "2019", "region": "east", "category": "Household", "profit": 50 },
14    { "date": "2019", "region": "east", "category": "Personal", "profit": 40 },
15    { "date": "2019", "region": "west", "category": "Grocery", "profit": 10 },
16    { "date": "2019", "region": "west", "category": "Beverages", "profit": 30 },
17    { "date": "2019", "region": "west", "category": "Dairy", "profit": 30 },
18    { "date": "2019", "region": "west", "category": "Household", "profit": 50 },
19    { "date": "2019", "region": "west", "category": "Personal", "profit": 40 },
20
21    { "date": "2020", "region": "east", "category": "Grocery", "profit": 10 },
22    { "date": "2020", "region": "east", "category": "Beverages", "profit": 30 },
23    { "date": "2020", "region": "east", "category": "Dairy", "profit": 30 },
24    { "date": "2020", "region": "east", "category": "Household", "profit": 50 },
25    { "date": "2020", "region": "east", "category": "Personal", "profit": 40 },
26    { "date": "2020", "region": "west", "category": "Grocery", "profit": 10 },
27    { "date": "2020", "region": "west", "category": "Beverages", "profit": 30 },
28    { "date": "2020", "region": "west", "category": "Dairy", "profit": 30 },
29    { "date": "2020", "region": "west", "category": "Household", "profit": 50 },
30    { "date": "2020", "region": "west", "category": "Personal", "profit": 40 }
31  ]
32}

列维度

1{
2  "chartType": "columnParallel",
3  "dimensions": [
4    { "id": "category", "alias": "类别", "location": "dimension" },
5    { "id": "date", "alias": "日期", "location": "columnDimension" },
6    { "id": "region", "alias": "区域", "location": "columnDimension" }
7  ],
8  "measures": [{ "id": "profit", "alias": "利润" }],
9  "dataset": [
10    { "date": "2019", "region": "east", "category": "Grocery", "profit": 10 },
11    { "date": "2019", "region": "east", "category": "Beverages", "profit": 30 },
12    { "date": "2019", "region": "east", "category": "Dairy", "profit": 30 },
13    { "date": "2019", "region": "east", "category": "Household", "profit": 50 },
14    { "date": "2019", "region": "east", "category": "Personal", "profit": 40 },
15    { "date": "2019", "region": "west", "category": "Grocery", "profit": 10 },
16    { "date": "2019", "region": "west", "category": "Beverages", "profit": 30 },
17    { "date": "2019", "region": "west", "category": "Dairy", "profit": 30 },
18    { "date": "2019", "region": "west", "category": "Household", "profit": 50 },
19    { "date": "2019", "region": "west", "category": "Personal", "profit": 40 },
20
21    { "date": "2020", "region": "east", "category": "Grocery", "profit": 10 },
22    { "date": "2020", "region": "east", "category": "Beverages", "profit": 30 },
23    { "date": "2020", "region": "east", "category": "Dairy", "profit": 30 },
24    { "date": "2020", "region": "east", "category": "Household", "profit": 50 },
25    { "date": "2020", "region": "east", "category": "Personal", "profit": 40 },
26    { "date": "2020", "region": "west", "category": "Grocery", "profit": 10 },
27    { "date": "2020", "region": "west", "category": "Beverages", "profit": 30 },
28    { "date": "2020", "region": "west", "category": "Dairy", "profit": 30 },
29    { "date": "2020", "region": "west", "category": "Household", "profit": 50 },
30    { "date": "2020", "region": "west", "category": "Personal", "profit": 40 }
31  ]
32}

行维度

1{
2  "chartType": "columnParallel",
3  "dimensions": [
4    { "id": "category", "alias": "类别", "location": "dimension" },
5    { "id": "date", "alias": "日期", "location": "rowDimension" },
6    { "id": "region", "alias": "区域", "location": "rowDimension" }
7  ],
8  "measures": [{ "id": "profit", "alias": "利润" }],
9  "dataset": [
10    { "date": "2019", "region": "east", "category": "Grocery", "profit": 10 },
11    { "date": "2019", "region": "east", "category": "Beverages", "profit": 30 },
12    { "date": "2019", "region": "east", "category": "Dairy", "profit": 30 },
13    { "date": "2019", "region": "east", "category": "Household", "profit": 50 },
14    { "date": "2019", "region": "east", "category": "Personal", "profit": 40 },
15    { "date": "2019", "region": "west", "category": "Grocery", "profit": 10 },
16    { "date": "2019", "region": "west", "category": "Beverages", "profit": 30 },
17    { "date": "2019", "region": "west", "category": "Dairy", "profit": 30 },
18    { "date": "2019", "region": "west", "category": "Household", "profit": 50 },
19    { "date": "2019", "region": "west", "category": "Personal", "profit": 40 },
20
21    { "date": "2020", "region": "east", "category": "Grocery", "profit": 10 },
22    { "date": "2020", "region": "east", "category": "Beverages", "profit": 30 },
23    { "date": "2020", "region": "east", "category": "Dairy", "profit": 30 },
24    { "date": "2020", "region": "east", "category": "Household", "profit": 50 },
25    { "date": "2020", "region": "east", "category": "Personal", "profit": 40 },
26    { "date": "2020", "region": "west", "category": "Grocery", "profit": 10 },
27    { "date": "2020", "region": "west", "category": "Beverages", "profit": 30 },
28    { "date": "2020", "region": "west", "category": "Dairy", "profit": 30 },
29    { "date": "2020", "region": "west", "category": "Household", "profit": 50 },
30    { "date": "2020", "region": "west", "category": "Personal", "profit": 40 }
31  ]
32}

透视维度

1{
2  "chartType": "columnParallel",
3  "dimensions": [
4    { "id": "category", "alias": "类别", "location": "dimension" },
5    { "id": "date", "alias": "日期", "location": "columnDimension" },
6    { "id": "region", "alias": "区域", "location": "rowDimension" }
7  ],
8  "measures": [{ "id": "profit", "alias": "利润" }],
9  "dataset": [
10    { "date": "2019", "region": "east", "category": "Grocery", "profit": 10 },
11    { "date": "2019", "region": "east", "category": "Beverages", "profit": 30 },
12    { "date": "2019", "region": "east", "category": "Dairy", "profit": 30 },
13    { "date": "2019", "region": "east", "category": "Household", "profit": 50 },
14    { "date": "2019", "region": "east", "category": "Personal", "profit": 40 },
15    { "date": "2019", "region": "west", "category": "Grocery", "profit": 10 },
16    { "date": "2019", "region": "west", "category": "Beverages", "profit": 30 },
17    { "date": "2019", "region": "west", "category": "Dairy", "profit": 30 },
18    { "date": "2019", "region": "west", "category": "Household", "profit": 50 },
19    { "date": "2019", "region": "west", "category": "Personal", "profit": 40 },
20
21    { "date": "2020", "region": "east", "category": "Grocery", "profit": 10 },
22    { "date": "2020", "region": "east", "category": "Beverages", "profit": 30 },
23    { "date": "2020", "region": "east", "category": "Dairy", "profit": 30 },
24    { "date": "2020", "region": "east", "category": "Household", "profit": 50 },
25    { "date": "2020", "region": "east", "category": "Personal", "profit": 40 },
26    { "date": "2020", "region": "west", "category": "Grocery", "profit": 10 },
27    { "date": "2020", "region": "west", "category": "Beverages", "profit": 30 },
28    { "date": "2020", "region": "west", "category": "Dairy", "profit": 30 },
29    { "date": "2020", "region": "west", "category": "Household", "profit": 50 },
30    { "date": "2020", "region": "west", "category": "Personal", "profit": 40 }
31  ]
32}
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