Sorting Algorithms (bubble sort, merge sort)

What aspect of algorithm analysis does this implementation help understand?

function bubbleSortWithStats(arr) {
  let swaps = 0, comparisons = 0;
  for(let i = 0; i < arr.length; i++) {
    for(let j = 0; j < arr.length - i - 1; j++) {
      comparisons++;
      if(arr[j] > arr[j + 1]) {
        [arr[j], arr[j + 1]] = [arr[j + 1], arr[j]];
        swaps++;
      }
    }
  }
  return { sorted: arr, swaps, comparisons };
}

Memory usage
Time complexity
Operation counts
This implementation helps analyze operations by: 1) Tracking number of swaps performed, 2) Counting element comparisons, 3) Providing detailed performance metrics, 4) Enabling algorithm behavior analysis, 5) Useful for comparing different inputs, 6) Helps understand worst/best cases, 7) Valuable for educational purposes, 8) Important for algorithm optimization decisions.
Space efficiency

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