kepler.gl.geoiq/dist/utils/aggregate-utils.js

kepler.gl is a webgl based application to visualize large scale location data in the browser

"use strict";

Object.defineProperty(exports, "__esModule", {
  value: true
});
exports.aggregate = aggregate;

var _d3Array = require("d3-array");

var _defaultSettings = require("../constants/default-settings");

// Copyright (c) 2019 Uber Technologies, Inc.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
// import { ChannelByValueSelector } from '../../dist/components/side-panel/layer-panel/layer-configurator';
var getFrenquency = function getFrenquency(data) {
  return data.reduce(function (uniques, val) {
    uniques[val] = (uniques[val] || 0) + 1;
    return uniques;
  }, {});
};

function getMode(data) {
  var occur = getFrenquency(data);
  return Object.keys(occur).reduce(function (prev, key) {
    return occur[prev] >= occur[key] ? prev : key;
  }, Object.keys(occur)[0]);
}

function aggregate(data, technique) {
  switch (technique) {
    case _defaultSettings.AGGREGATION_TYPES.average:
      return (0, _d3Array.mean)(data);

    case _defaultSettings.AGGREGATION_TYPES.countUnique:
      return Object.keys(data.reduce(function (uniques, val) {
        uniques[val] = uniques[val] || 0;
        uniques[val] += 1;
        return uniques;
      }, {})).length;

    case _defaultSettings.AGGREGATION_TYPES.mode:
      return getMode(data);

    case _defaultSettings.AGGREGATION_TYPES.maximum:
      return (0, _d3Array.max)(data);

    case _defaultSettings.AGGREGATION_TYPES.minimum:
      return (0, _d3Array.min)(data);

    case _defaultSettings.AGGREGATION_TYPES.median:
      return (0, _d3Array.median)(data);

    case _defaultSettings.AGGREGATION_TYPES.sum:
      return (0, _d3Array.sum)(data);

    default:
      return data.length;
  }
}
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