incorrect/misleading cumulative % graphing

[ldemailly]

for instance:

      {
        "Start": 0.04,
        "End": 0.045000000000000005,
        "Percent": 38.41961852861036,
        "Count": 43
      },
      {
        "Start": 0.045000000000000005,
        "End": 0.05,
        "Percent": 43.596730245231605,
        "Count": 57
      },
      {
        "Start": 0.05,
        "End": 0.060000000000000005,
        "Percent": 51.316984559491374,
        "Count": 85
      },
      {
        "Start": 0.060000000000000005,
        "End": 0.07,
        "Percent": 59.2188919164396,
        "Count": 87
      },
      {
        "Start": 0.07,
        "End": 0.08,
        "Percent": 65.39509536784742,
        "Count": 68
      },
      {
        "Start": 0.08,
        "End": 0.09000000000000001,
        "Percent": 72.11625794732062,
        "Count": 74
      },
      {
        "Start": 0.09000000000000001,
        "End": 0.1,
        "Percent": 76.93006357856494,
        "Count": 53
      },
      {
        "Start": 0.1,
        "End": 0.2,
        "Percent": 99.09173478655768,
        "Count": 244
      },
      {
        "Start": 0.2,
        "End": 0.246923071,
        "Percent": 100,
        "Count": 10
      }
    ],

means 99.09% is only reached at 0.2 not 0.15

but if we want to have exact match for round numbers we should change the bucket definition to be inclusive instead of exclusive