als-statistics/lib/table/simple-table/index.js

Modular JS statistics toolkit for Node.js and the browser: descriptive stats, correlations (Pearson/Spearman/Kendall), t-tests & ANOVA (Student/Welch), reliability (Cronbach’s alpha), regression (linear/logistic), clustering (DBSCAN/HDBSCAN), and table/co

import { transpose, extractMetrics, split, clone, sortBy, htmlTable,filterKeys } from './tools.js'
import { Counter } from "../../utils/counter.js";
import { TableData } from '../table-data/index.js'
export default class SimpleTable extends TableData {
   static counter = new Counter('table')
   Table = SimpleTable
   constructor(data = {}, options = {}) {
      options = { minK: 0, colFilter: [], name: SimpleTable.counter.getName(options.name), ...options }
      super(data, options)
      if (this.k < this.options.minK) throw new Error(`At least ${this.options.minK} samples required`);
   }
   get name() { return this.options.name }
   descriptive(...metricNames) { return extractMetrics(this.columns, metricNames) }
   clone(name, colFilter = []) { return clone(name, colFilter, this) }
   splitBy(colName, labels) { return split(colName, this, labels) }
   sortBy(colName, asc = true) { sortBy(this, colName, asc); return this; }
   transpose(colNames = []) { return new SimpleTable(transpose(this, colNames), { name: (this.name + 'transposed') }) }
   rows(withKeys = true) { return transpose(this, [], withKeys ? this.colNames : []) }
   get json() {
      const obj = {}
      this.colValues.forEach(({ name, values }) => obj[name] = values)
      return obj
   }
   htmlTable(colFilter=[], options = {}) {
      const headers = filterKeys(this.colNames,colFilter)
      const rows = Object.values(transpose(this,headers))
      options = { firstColHeader: false, header: `${this.name} data`, ...options } // style = 'text-align:left;',fixed=8
      return htmlTable(rows, headers, options)
   }
}