mirror of
https://github.com/koalyptus/TableFilter.git
synced 2024-05-15 21:06:44 +02:00
Started ColOps
This commit is contained in:
Max Guglielmi
parent
6d32d6b5bd
commit
a173feb26f
47
dist/tablefilter/tf-1.js
vendored
47
dist/tablefilter/tf-1.js
vendored
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@ -625,24 +625,41 @@ webpackJsonp([1],{
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function _inherits(subClass, superClass) { if (typeof superClass !== "function" && superClass !== null) { throw new TypeError("Super expression must either be null or a function, not " + typeof superClass); } subClass.prototype = Object.create(superClass && superClass.prototype, { constructor: { value: subClass, enumerable: false, writable: true, configurable: true } }); if (superClass) Object.setPrototypeOf ? Object.setPrototypeOf(subClass, superClass) : subClass.__proto__ = superClass; }
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/**
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* Column calculations extension
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*/
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var ColOps = function (_Feature) {
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_inherits(ColOps, _Feature);
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/**
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* Column calculations
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* @param {Object} tf TableFilter instance
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* Creates an instance of ColOps
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*
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* @param {TableFilter} tf TableFilter instance
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* @param {Object} opts Configuration object
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*/
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function ColOps(tf, opts) {
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_classCallCheck(this, ColOps);
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//calls function before col operation
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/**
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* Callback fired before columns operations start
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* @type {Function}
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*/
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var _this = _possibleConstructorReturn(this, _Feature.call(this, tf, opts.name));
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_this.onBeforeOperation = (0, _types.isFn)(opts.on_before_operation) ? opts.on_before_operation : null;
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//calls function after col operation
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/**
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* Callback fired after columns operations are completed
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* @type {Function}
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*/
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_this.onAfterOperation = (0, _types.isFn)(opts.on_after_operation) ? opts.on_after_operation : null;
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/**
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* Configuration options
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* @type {Object}
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*/
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_this.opts = opts;
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_this.enable();
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return _this;
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}
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@ -659,6 +676,10 @@ webpackJsonp([1],{
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});
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this.calc();
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/**
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* @inherited
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*/
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this.initialized = true;
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};
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@ -730,9 +751,9 @@ webpackJsonp([1],{
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colvalues.push(tf.getColValues(ucolIndex[ucol], false, true, excludeRow));
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//next: calculate all operations for this column
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var result,
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var result = void 0,
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nbvalues = 0,
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temp,
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temp = void 0,
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meanValue = 0,
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sumValue = 0,
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minValue = null,
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@ -754,13 +775,13 @@ webpackJsonp([1],{
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oTypeThisCol = [],
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mThisCol = -1;
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for (var k = 0; k < colIndex.length; k++) {
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if (colIndex[k] === ucolIndex[ucol]) {
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for (var _k = 0; _k < colIndex.length; _k++) {
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if (colIndex[_k] === ucolIndex[ucol]) {
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mThisCol++;
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opsThisCol[mThisCol] = operation[k].toLowerCase();
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decThisCol[mThisCol] = decimalPrecision[k];
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labThisCol[mThisCol] = labelId[k];
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oTypeThisCol = (0, _types.isArray)(outputType) ? outputType[k] : null;
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opsThisCol[mThisCol] = operation[_k].toLowerCase();
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decThisCol[mThisCol] = decimalPrecision[_k];
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labThisCol[mThisCol] = labelId[_k];
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oTypeThisCol = (0, _types.isArray)(outputType) ? outputType[_k] : null;
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switch (opsThisCol[mThisCol]) {
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case 'mean':
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@ -839,7 +860,7 @@ webpackJsonp([1],{
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medValue = (theList[nbvalues / 2] + theList[nbvalues / 2 - 1]) / 2;
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}
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}
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var posa;
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var posa = void 0;
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if (q1Flag === 1) {
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posa = 0.0;
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posa = Math.floor(nbvalues / 4);
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@ -2,23 +2,40 @@ import {Feature} from '../../feature';
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import {createText, elm} from '../../dom';
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import {isArray, isFn, isUndef} from '../../types';
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/**
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* Column calculations extension
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*/
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export default class ColOps extends Feature {
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/**
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* Column calculations
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* @param {Object} tf TableFilter instance
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* Creates an instance of ColOps
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*
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* @param {TableFilter} tf TableFilter instance
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* @param {Object} opts Configuration object
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*/
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constructor(tf, opts) {
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super(tf, opts.name);
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//calls function before col operation
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/**
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* Callback fired before columns operations start
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* @type {Function}
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*/
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this.onBeforeOperation = isFn(opts.on_before_operation) ?
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opts.on_before_operation : null;
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//calls function after col operation
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/**
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* Callback fired after columns operations are completed
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* @type {Function}
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*/
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this.onAfterOperation = isFn(opts.on_after_operation) ?
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opts.on_after_operation : null;
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/**
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* Configuration options
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* @type {Object}
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*/
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this.opts = opts;
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this.enable();
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}
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@ -30,6 +47,10 @@ export default class ColOps extends Feature {
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this.tf.emitter.on(['after-filtering'], () => this.calc());
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this.calc();
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/**
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* @inherited
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*/
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this.initialized = true;
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}
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@ -50,7 +71,7 @@ export default class ColOps extends Feature {
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* (2) added calculations for the median, lower and upper quartile.
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*/
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calc() {
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var tf = this.tf;
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let tf = this.tf;
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if (!tf.isInitialized()) {
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return;
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}
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@ -59,7 +80,7 @@ export default class ColOps extends Feature {
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this.onBeforeOperation.call(null, tf);
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}
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var opts = this.opts,
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let opts = this.opts,
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labelId = opts.id,
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colIndex = opts.col,
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operation = opts.operation,
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@ -70,14 +91,14 @@ export default class ColOps extends Feature {
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2 : opts.decimal_precision;
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//nuovella: determine unique list of columns to operate on
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var ucolIndex = [],
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let ucolIndex = [],
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ucolMax = 0;
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ucolIndex[ucolMax] = colIndex[0];
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for (var ii = 1; ii < colIndex.length; ii++) {
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var saved = 0;
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for (let ii = 1; ii < colIndex.length; ii++) {
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let saved = 0;
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//see if colIndex[ii] is already in the list of unique indexes
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for (var jj = 0; jj <= ucolMax; jj++) {
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for (let jj = 0; jj <= ucolMax; jj++) {
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if (ucolIndex[jj] === colIndex[ii]) {
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saved = 1;
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}
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@ -90,10 +111,10 @@ export default class ColOps extends Feature {
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}
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if (isArray(labelId) && isArray(colIndex) && isArray(operation)) {
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var rows = tf.tbl.rows,
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let rows = tf.tbl.rows,
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colvalues = [];
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for (var ucol = 0; ucol <= ucolMax; ucol++) {
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for (let ucol = 0; ucol <= ucolMax; ucol++) {
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//this retrieves col values
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//use ucolIndex because we only want to pass through this loop
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//once for each column get the values in this unique column
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@ -101,7 +122,7 @@ export default class ColOps extends Feature {
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tf.getColValues(ucolIndex[ucol], false, true, excludeRow));
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//next: calculate all operations for this column
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var result,
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let result,
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nbvalues = 0,
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temp,
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meanValue = 0,
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@ -125,7 +146,7 @@ export default class ColOps extends Feature {
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oTypeThisCol = [],
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mThisCol = -1;
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for (var k = 0; k < colIndex.length; k++) {
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for (let k = 0; k < colIndex.length; k++) {
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if (colIndex[k] === ucolIndex[ucol]) {
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mThisCol++;
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opsThisCol[mThisCol] = operation[k].toLowerCase();
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@ -160,7 +181,7 @@ export default class ColOps extends Feature {
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}
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}
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for (var j = 0; j < colvalues[ucol].length; j++) {
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for (let j = 0; j < colvalues[ucol].length; j++) {
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//sort the list for calculation of median and quartiles
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if ((q1Flag === 1) || (q3Flag === 1) || (medFlag === 1)) {
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if (j < colvalues[ucol].length - 1) {
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@ -176,7 +197,7 @@ export default class ColOps extends Feature {
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}
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}
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}
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var cvalue = parseFloat(colvalues[ucol][j]);
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let cvalue = parseFloat(colvalues[ucol][j]);
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theList[j] = parseFloat(cvalue);
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if (!isNaN(cvalue)) {
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@ -206,7 +227,7 @@ export default class ColOps extends Feature {
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meanValue = sumValue / nbvalues;
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}
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if (medFlag === 1) {
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var aux = 0;
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let aux = 0;
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if (nbvalues % 2 === 1) {
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aux = Math.floor(nbvalues / 2);
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medValue = theList[aux];
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@ -215,7 +236,7 @@ export default class ColOps extends Feature {
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theList[((nbvalues / 2) - 1)]) / 2;
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}
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}
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var posa;
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let posa;
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if (q1Flag === 1) {
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posa = 0.0;
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posa = Math.floor(nbvalues / 4);
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@ -227,7 +248,7 @@ export default class ColOps extends Feature {
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}
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if (q3Flag === 1) {
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posa = 0.0;
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var posb = 0.0;
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let posb = 0.0;
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posa = Math.floor(nbvalues / 4);
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if (4 * posa === nbvalues) {
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posb = 3 * posa;
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@ -237,7 +258,7 @@ export default class ColOps extends Feature {
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}
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}
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for (var i = 0; i <= mThisCol; i++) {
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for (let i = 0; i <= mThisCol; i++) {
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switch (opsThisCol[i]) {
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case 'mean':
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result = meanValue;
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@ -262,7 +283,7 @@ export default class ColOps extends Feature {
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break;
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}
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var precision = !isNaN(decThisCol[i]) ? decThisCol[i] : 2;
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let precision = !isNaN(decThisCol[i]) ? decThisCol[i] : 2;
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//if outputType is defined
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if (oTypeThisCol && result) {
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@ -282,9 +303,9 @@ export default class ColOps extends Feature {
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elm(labThisCol[i]).value = result;
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break;
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case 'createtextnode':
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var oldnode =
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let oldnode =
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elm(labThisCol[i]).firstChild;
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var txtnode = createText(result);
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let txtnode = createText(result);
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elm(labThisCol[i])
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.replaceChild(txtnode, oldnode);
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break;
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@ -304,7 +325,7 @@ export default class ColOps extends Feature {
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}//for i
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// row(s) with result are always visible
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var totRow = totRowIndex && totRowIndex[ucol] ?
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let totRow = totRowIndex && totRowIndex[ucol] ?
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rows[totRowIndex[ucol]] : null;
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if (totRow) {
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totRow.style.display = '';
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