report.js

var ss = require('simple-statistics');
var fs = require('fs');
var people = require('./people.json');

var teams = people.reduce(function (memo, person) {
  person.teams.forEach(function (team) {
    if (memo[team] === undefined) memo[team] = [];
    memo[team].push(person);
  });
  return memo;
}, Object.create(null));

function eq(x) { return function (y) { return x === y; }; }

// var firstColumn = ['0.90    0.95   0.975    0.99   0.995   0.999
// http://www.itl.nist.gov/div898/handbook/eda/section3/eda3672.htm
var pValues = fs.readFileSync('ttable.txt', 'utf8')
  .split(/\n/)
  .map(function (line) {
    return parseFloat(line.split(/\s+/)[7])
  });

var significant = [];
var insignificant = [];

Object.keys(teams).sort().forEach(function (team) {
  var population = teams[team].map(function (person) {
    return person.sex === 'xx' ? 0 : 1;
  });

  var total = population.length;
  var men = population.filter(eq(1)).length;
  var women = population.filter(eq(0)).length;

  var lean = women / total;

  var leans = (lean > 0.5) ?
    `${((lean - 0.5) * 200).toFixed(2)}% women` :
    `${((0.5 - lean) * 200).toFixed(2)}% men`;

  var tValue = ss.tTest(population, 0.5);
  var pValue = pValues[total - 1];

  if (tValue > pValue) {
    significant.push(`* The ${team} team has ${women} women and ${men} men (${total} total)
    * Leans ${leans}`);
  } else {
    insignificant.push(`* The ${team} team has ${women} women and ${men} men (${total} total)
    * Leans ${leans}`);
  }
});

console.log('# Significant\n\n' + significant.join('\n') + '\n');
console.log('# Insignificant\n\n' + insignificant.join('\n'));