BoxPlot (nvd3)

<!DOCTYPE html>
<html>
<head>
  <meta charset="utf-8">
  <link href="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.6/nv.d3.css" rel="stylesheet" type="text/css">
  <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.2/d3.min.js"></script>
  
  <script src="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.6/nv.d3.min.js"></script>

<body>

d3.select('#chart1 svg')
          .data([data])
          .call(chart);

nv.utils.windowResize(chart.update);

return chart;
    });

var data = [
        {
          label: "Sample A",
          values: {
            Q1: 120,
            Q2: 150,
            Q3: 200,
            whisker_low: 115,
            whisker_high: 210,
            outliers: [50, 100, 225]
          },
        },
        {
          label: "Sample B",
          values: {
            Q1: 300,
            Q2: 350,
            Q3: 400,
            whisker_low: 225,
            whisker_high: 425,
            outliers: [175, 450]
          },
        },
        {
          label: "Sample C",
          values: {
            Q1: 50,
            Q2: 100,
            Q3: 125,
            whisker_low: 25,
            whisker_high: 175,
            outliers: [0]
          },
        }
      ];
</script>

</body>
</html>

https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.2/d3.min.js

https://d3js.org/d3.v4.js

https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.8.6/nv.d3.min.js