Published
Edited
May 11, 2022
1 star
aggregate
result2 = {
const data = [
{ Day: 1, Value: 54.8 },
{ Day: 2, Value: 112.1 },
{ Day: 3, Value: 63.6 },
{ Day: 4, Value: 37.6 },
{ Day: 5, Value: 79.7 },
{ Day: 6, Value: 137.9 },
{ Day: 7, Value: 120.1 },
{ Day: 8, Value: 103.3 },
{ Day: 9, Value: 394.8 },
{ Day: 10, Value: 199.5 },
{ Day: 11, Value: 72.3 },
{ Day: 12, Value: 51.1 },
{ Day: 13, Value: 112.0 },
{ Day: 14, Value: 174.5 },
{ Day: 15, Value: 130.5 }
];
const dv = new DataSet.DataView().source(data);
dv.transform({
type: "aggregate", // 别名summary
fields: ["Value"], // 统计字段集
operations: ["mean"], // 统计操作集
as: ["mean"] // 存储字段集
// groupBy: ["Value"] // 分组字段集
});
return dv.rows;
}
result = {
const dv = new DataSet.DataView().source(data);
dv.transform({
type: "partition",
groupBy: ["name"], // 以 name 字段进行分组
orderBy: ["value"] // 以 value 字段进行排序
});
return dv.rows;
}
data = [
{ name: "a", value: 2 },
{ name: "c", value: 2 },
{ name: "b", value: 3 },
{ name: "b", value: 1 },
{ name: "a", value: 1 },
{ name: "b", value: -1 }
]
DataSet = require("@antv/data-set")
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
