var arr = ["0000a59e6c8c812bf11c1ffe","00e9620d5d48ad32a66e787f"];
var l = arr[0].length

var avg = (val) => val.reduce((sum, v) => sum + v, 0) / val.length;
var std = val => {
  const µ = avg(val);
  const addedSquareDiffs = val
    .map(val => val - µ)
    .map(diff => diff ** 2)
    .reduce((sum, v) => sum + v, 0);
  const variance = addedSquareDiffs / (val.length - 1);
  return Math.sqrt(variance);
};
var cor = (x,y) => {
  const µ = { x: avg(x), y: avg(y) };
  const s = { x: std(x), y: std(y) };
  const addedMultipliedDifferences = x
    .map((val, i) => (val - µ.x) * (y[i] - µ.y))
    .reduce((sum, v) => sum + v, 0);
  const dividedByDevs = addedMultipliedDifferences / (s.x * s.y);
  return dividedByDevs / (x.length - 1);
};

arr = arr.map(e=>e.split("").map(e=>e.charCodeAt(0)))
var tArr = [...Array(l)].map((_,i)=>arr.map(e=>e[i]))

for (let i = 0; i < tArr.length; i++) {
  for (let j = i+1; j < tArr.length; j++) {
    const res = cor(tArr[i],tArr[j])
    console.log({i,j,res})
  }
}