#+name: values
|-----------------------|
|  0.006780639787578286 |
|  0.006780639787578433 |
|  0.008195683980621288 |
|  0.006780639787578433 |
|  0.006780639787578286 |
|  0.006780639787578286 |
|  0.008195683980621288 |
|  0.006780639787578433 |
|  0.006780639787578286 |
| 0.0071466305079598775 |
|   0.01154503021335327 |
|  0.006780639787578433 |
|  0.010129986020310415 |
|   0.00819568398062114 |
|  0.006780639787578433 |
| 0.0071466305079598775 |
| 0.0071466305079598775 |
|-----------------------|

The table of values above include cases where rounding errors lead to slightly different results for what are essentially the same result.  The following awk script looks at only the significant digits to identify similar results:

#+name: frequency
#+begin_src awk :stdin values
  {
      if ($1 != "hline") {
          s = substr($1,2,9)
          n[s] += 1;
      }
  }
  END {
      for (val in n) {
          printf "%7.5f %d\n", val, n[val]
      }
  }
#+end_src

#+results: frequency
|  0.0082 | 3 |
| 0.00678 | 9 |
| 0.01013 | 1 |
| 0.00715 | 3 |
| 0.01154 | 1 |