Scatter Plot Matrix (SPLOM) of the Iris Dataset

Mix.install([
  {:plotly_ex, "~> 0.3"},
  {:kino, "~> 0.18"}
])

Section

Splom.new(dimensions: [...]) creates a Scatter Plot Matrix (SPLOM). Each dimension is a map with label: (axis title) and values: (numeric list). Every pair of dimensions gets its own scatter panel.

The Iris dataset is inlined here as simple representative data.

alias Plotly.{Figure, Splom}

# Simplified Iris dataset (20 samples, 3 classes encoded as 0/1/2)
sepal_len  = [5.1,4.9,4.7,4.6,5.0,5.4,4.6,5.0,4.4,4.9,7.0,6.4,6.9,5.5,6.5,5.7,6.3,4.9,6.6,5.2]
sepal_wid  = [3.5,3.0,3.2,3.1,3.6,3.9,3.4,3.4,2.9,3.1,3.2,3.2,3.1,2.3,2.8,2.8,3.3,2.4,2.9,2.7]
petal_len  = [1.4,1.4,1.3,1.5,1.4,1.7,1.4,1.5,1.4,1.5,4.7,4.5,4.9,4.0,4.6,4.5,4.7,3.3,4.6,3.9]
petal_wid  = [0.2,0.2,0.2,0.2,0.2,0.4,0.3,0.2,0.2,0.1,1.4,1.5,1.5,1.3,1.5,1.3,1.6,1.0,1.3,1.4]
species    = [0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1]

Figure.new()
|> Figure.add_trace(
  Splom.new(
    dimensions: [
      %{label: "Sepal Length", values: sepal_len},
      %{label: "Sepal Width",  values: sepal_wid},
      %{label: "Petal Length", values: petal_len},
      %{label: "Petal Width",  values: petal_wid}
    ],
    marker: %{
      color: species,
      colorscale: "Viridis",
      size: 5,
      showscale: false,
      line: %{width: 0.5, color: "white"}
    }
  )
)
|> Figure.update_layout(
  title: "SPLOM — Iris Dataset",
  dragmode: "select",
  height: 700,
  margin: %{l: 130}
)
|> Plotly.show()