group_data_in_intervals v1.0.32

Group_data_in_intervals

This package solves an issue I experienced lately when I want to group a large number of sales records in yearly, monthly, weekly and daily intervals for displaying on charts and graphs. This package considers intervals with no sales/events.

How to it works

First off these are enums and interface that will that our function will makes use of and can each be imported from this package.

export enum IntervalEnum {
  YEARLY = "YEARLY",
  MONTHLY = "MONTHLY",
  WEEKLY = "WEEKLY",
  DAILY = "DAILY",
}

export interface GroupedDataDTO {
  t: Date;
  [key: string]: any;
}

export interface SortParamsDTO {
  data: GroupedDataDTO[];
  interval: IntervalEnum;
  startDate?: Date;
}

export interface IntervalDTO {
  startDate: Date;
  endDate: Date;
  data: GroupedDataDTO[];
}

Usage

import { groupDataInTimeIntervals } from "group_data_in_intervals";

const data = [
  {
    desc: Andrew bought....,
    t: 2020-01-01T00:00:00.0,
  },
  {
    desc: Trump bought....,
    t: 2020-01-03T00:00:00.0,
  },
  {
    desc: Ben bought....,
    t: 2020-01-05T00:00:00.0,
  },
  {
    desc: Jane bought....,
    t: 2020-01-08T00:00:00.0,
  },
  {
    desc: Andrew bought....,
    t: 2020-02-09T00:00:00.0,
  },
  {
    desc: Wood bought....,
    t: 2020-02-10T00:00:00.0,
  },
];

const sortedAndGroupedData = groupDataInTimeIntervals({
    data,
    interval: IntervalEnum.WEEKLY
})

console.log(sortedAndGroupedData);

// [
//     {
//         startDate: 2019-12-31T23:00:00.000Z,
//         endDate: 2020-01-07T23:00:00.000Z,
//         data: [
//             {
//                 desc: Andrew bought....,
//                 t: 2020-01-01T00:00:00.0
//             },
//             {
//                 desc: Trump bought....,
//                 t: 2020-01-03T00:00:00.0
//             },
//             {
//                 desc: Ben bought....,
//                 t: 2020-01-05T00:00:00.0
//             }
//         ]
//     },
//     {
//         startDate: 2020-01-07T23:00:00.000Z,
//         endDate: 2020-01-14T23:00:00.000Z,
//         data: [
//             {
//                 desc: Jane bought....,
//                 t: 2020-01-08T00:00:00.0
//             }
//         ]
//     },
//     {
//         startDate: 2020-01-14T23:00:00.000Z,
//         endDate: 2020-01-21T23:00:00.000Z,
//         data: []
//     },
//     {
//         startDate: 2020-01-21T23:00:00.000Z,
//         endDate: 2020-01-28T23:00:00.000Z,
//         data: []
//     },
//     {
//         startDate: 2020-01-28T23:00:00.000Z,
//         endDate: 2020-02-04T23:00:00.000Z,
//         data: []
//     },
//     {
//         startDate: 2020-02-04T23:00:00.000Z,
//         endDate: 2020-02-11T23:00:00.000Z,
//         data: [
//             {
//                 desc: Andrew bought....,
//                 t: 2020-02-09T00:00:00.0
//             },
//             {
//                 desc: Wood bought....,
//                 t: 2020-02-10T00:00:00.0
//             }
//         ]
//     }
// ]

Enjoy every byte!!!