Box plot
Five-number summary of a distribution per category — min / Q1 / median / Q3 / max. Side-by-side boxes compare distributions across categories.
The demo plots Boston Marathon men's winning times by decade (1900s through 1960s), in minutes. The marathon began in 1897 as the second-oldest marathon worldwide; each box summarises the per-decade spread of the winning time. The progression from a 158-min median in the 1900s to 138 min in the 1960s tracks training science + course modernisation; the wide 1920s box is the pre-pace-strategy era where race tactics were still being invented. Source: Wikipedia "List of Boston Marathon winners".
Source: List of Boston Marathon winners — Wikipedia
Public surface
use wisp_chart::distributions::{BoxPlot, Box};
use wisp_chart::color::Color;
// From precomputed quartiles:
let bp = BoxPlot::new(vec![
Box::from_summary("A", 10.0, 20.0, 30.0, 45.0, 60.0, Color::from_hex("#0072b2").unwrap()),
/* ... */
]);
// Or from raw samples:
let samples: Vec<f32> = /* … */;
let bx = Box::from_samples("ints", &samples, Color::from_hex("#d55e00").unwrap()).unwrap();from_samples uses the inclusive-method percentile lookup —
samples[((n-1) × p) as usize] after sorting. Good for a quick
exploration; for publication-grade quartiles compute them
upstream (e.g. with statrs) and call from_summary.
Per-box primitives
Each box emits 6 primitives: 1 filled rect (Q1→Q3), 1 median line, 2 whiskers (min→Q1 + Q3→max), 2 whisker caps. A 4-box plot is 24 primitives total.