Density (KDE)

Kernel-density estimate over a 1D sample. Smooths the discrete histogram into a continuous density curve. Defaults to a Gaussian kernel + Silverman's rule of thumb for the bandwidth.

The demo uses the same dataset as the histogram chapter — heights of Union Army recruits, c. 1864 (Gould's 1869 Statistics of American Soldiers). The smoothed density makes it obvious that the binned heights are essentially Gaussian around 67.8 in; the bandwidth choice controls how aggressively adjacent bins blur into one another.

Source: Anthropometric history — Wikipedia

Public surface

use wisp_chart::distributions::{BandwidthRule, KdePlot};

let kde = KdePlot::new(samples)
    .bandwidth(BandwidthRule::Silverman);    // or Manual(0.5)
let g = kde.emit_graphics(&theme, Vec2::new(360.0, 240.0));