Scatterplot matrix (SPLOM)

Quickly survey all pairwise relationships in a multi-dimensional dataset — N variables produce an N×N grid where each cell is a scatter of the row's variable vs the column's.

The demo plots Fisher's Iris four flower measurements (sepal length, sepal width, petal length, petal width — all in centimetres) across 12 samples covering the three species. Inspect the bottom-left cell to see petal length × sepal length — the strongest single discriminator between species — and the top-right cell for the weakest (sepal width × any). This is the view Fisher's 1936 paper uses implicitly when arguing for linear discriminant analysis.

Source: Iris flower data set — Wikipedia

Public surface

use wisp_chart::multi::{Splom, SplomDimension};

let s = Splom::new(vec![
    SplomDimension::new("mpg", vec![32.0, 28.0, 22.0, 18.0, 14.0, 12.0]),
    SplomDimension::new("cyl", vec![ 4.0,  4.0,  6.0,  6.0,  8.0,  8.0]),
    SplomDimension::new("hp",  vec![95.0,110.0,150.0,200.0,280.0,300.0]),
    SplomDimension::new("wt",  vec![ 2.2,  2.5,  3.0,  3.6,  4.4,  5.0]),
]);
let g = s.emit_graphics(&theme, Vec2::new(400.0, 400.0));

Diagonal

Sizing