Histograms group continuous numeric data into bins and display the frequency of values in each bin as bars. Unlike bar charts, histograms have no gaps between bars because the bins are contiguous ranges. They are the primary tool for understanding the shape, spread, and central tendency of a distribution.

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ms
120
145
132
158
167
141
155
173
189
162

{
  "title": {
    "text": "API Response Times (ms)"
  },
  "data": [
    {
      "ms": 120
    },
    {
      "ms": 145
    },
    {
      "ms": 132
    },
    {
      "ms": 158
    },
    {
      "ms": 167
    },
    {
      "ms": 141
    },
    {
      "ms": 155
    },
    {
      "ms": 173
    },
    {
      "ms": 189
    },
    {
      "ms": 162
    },
    {
      "ms": 148
    },
    {
      "ms": 136
    },
    {
      "ms": 178
    },
    {
      "ms": 195
    },
    {
      "ms": 152
    },
    {
      "ms": 169
    },
    {
      "ms": 143
    },
    {
      "ms": 184
    },
    {
      "ms": 127
    },
    {
      "ms": 161
    },
    {
      "ms": 156
    },
    {
      "ms": 138
    },
    {
      "ms": 171
    },
    {
      "ms": 193
    },
    {
      "ms": 149
    },
    {
      "ms": 165
    },
    {
      "ms": 140
    },
    {
      "ms": 180
    },
    {
      "ms": 124
    },
    {
      "ms": 157
    }
  ],
  "series": [
    {
      "type": "histogram",
      "xKey": "ms",
      "fill": "#6366f1",
      "fillOpacity": 0.8,
      "stroke": "#fff",
      "strokeWidth": 1
    }
  ],
  "axes": [
    {
      "position": "bottom",
      "title": {
        "text": "Response Time (ms)"
      }
    },
    {
      "position": "left",
      "title": {
        "text": "Frequency"
      }
    }
  ]
}

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Default bin count applied to response time data, revealing the typical distribution shape.

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