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

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

"use strict";

var _interopRequireDefault = require("@babel/runtime/helpers/interopRequireDefault");

Object.defineProperty(exports, "__esModule", {
  value: true
});
exports.aggregate = aggregate;
exports.getMode = exports.getFrequency = void 0;

var _defineProperty2 = _interopRequireDefault(require("@babel/runtime/helpers/defineProperty"));

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

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

function ownKeys(object, enumerableOnly) { var keys = Object.keys(object); if (Object.getOwnPropertySymbols) { var symbols = Object.getOwnPropertySymbols(object); if (enumerableOnly) symbols = symbols.filter(function (sym) { return Object.getOwnPropertyDescriptor(object, sym).enumerable; }); keys.push.apply(keys, symbols); } return keys; }

function _objectSpread(target) { for (var i = 1; i < arguments.length; i++) { var source = arguments[i] != null ? arguments[i] : {}; if (i % 2) { ownKeys(Object(source), true).forEach(function (key) { (0, _defineProperty2["default"])(target, key, source[key]); }); } else if (Object.getOwnPropertyDescriptors) { Object.defineProperties(target, Object.getOwnPropertyDescriptors(source)); } else { ownKeys(Object(source)).forEach(function (key) { Object.defineProperty(target, key, Object.getOwnPropertyDescriptor(source, key)); }); } } return target; }

var getFrequency = function getFrequency(data) {
  return data.reduce(function (uniques, val) {
    return _objectSpread({}, uniques, (0, _defineProperty2["default"])({}, val, (uniques[val] || 0) + 1));
  }, {});
};

exports.getFrequency = getFrequency;

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

exports.getMode = getMode;

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.stdev:
      return (0, _d3Array.deviation)(data);

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

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

    default:
      return data.length;
  }
}
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