Box Plot

Summarizes the distribution of a dataset, showing quartiles, median, and outliers. This provides a concise and informative visual summary of the distribution of a dataset, highlighting key features such as the central tendency, spread, and presence of outliers. It is widely used in exploratory data analysis and statistical inference.

Chart:

Code:

  muze
    .canvas()
    .columns(["Maker"])
    .rows([muze.Operators.share("min", "max", "q1", "median", "q3")])
    .data(rootData)
    .layers([
      {
        mark: "bar",
        encoding: {
          y: "q3",
          y0: "median",
          color: "Maker",
        },
      },
      {
        mark: "bar",
        encoding: {
          y: "median",
          y0: "q1",
          color: "Maker",
        },
      },
      {
        mark: "tick",
        encoding: {
          y: "q1",
          y0: "min",
          color: {
            value: () => "black",
          },
        },
      },
      {
        mark: "tick",
        encoding: {
          y: "median",
          color: {
            value: () => "#fff",
          },
        },
      },
      {
        mark: "tick",
        encoding: {
          y: "max",
          y0: "q3",
          color: {
            value: () => "black",
          },
        },
      },
    ])
    .config({
      axes: {
        y: {
          name: "Horsepower Distribution",
        },
      },
    })