Empirical Cumulative Distribution Function (ECDF) charts plot each data point as a step, showing the proportion of observations less than or equal to each value. Unlike histograms, they are not sensitive to bin size choices and make it easy to read exact percentiles — for example, what value 90% of observations fall below.

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{
  "title": {
    "text": "API Response Time ECDF (ms)"
  },
  "data": [
    {
      "value": 82
    },
    {
      "value": 95
    },
    {
      "value": 108
    },
    {
      "value": 115
    },
    {
      "value": 122
    },
    {
      "value": 130
    },
    {
      "value": 138
    },
    {
      "value": 145
    },
    {
      "value": 152
    },
    {
      "value": 158
    },
    {
      "value": 164
    },
    {
      "value": 170
    },
    {
      "value": 178
    },
    {
      "value": 185
    },
    {
      "value": 192
    },
    {
      "value": 200
    },
    {
      "value": 210
    },
    {
      "value": 225
    },
    {
      "value": 245
    },
    {
      "value": 280
    },
    {
      "value": 320
    },
    {
      "value": 380
    },
    {
      "value": 450
    },
    {
      "value": 580
    },
    {
      "value": 820
    }
  ],
  "series": [
    {
      "type": "ecdf",
      "xKey": "value",
      "stroke": "#6366f1",
      "strokeWidth": 2.5,
      "fill": "#6366f1",
      "fillOpacity": 0.1
    }
  ],
  "axes": [
    {
      "position": "bottom",
      "title": {
        "text": "Response Time (ms)"
      }
    },
    {
      "position": "left",
      "title": {
        "text": "Cumulative Proportion"
      }
    }
  ]
}

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An ECDF of API response times shows what percentage of requests complete within any given latency.

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