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Outlier Detection Lab: Tukey's IQR Fences

Interactive 3D box-plot simulator: generate a dataset, watch it laid out as a beeswarm cloud with a live box plot on top, and drag the IQR fence multiplier to see exactly which points get flagged as statistical outliers.

Data Science3DEasy60 FPS

A live 3D box plot: a beeswarm cloud of sample points sits on a number line while a translucent box spans the interquartile range above it. Drag the fence multiplier k and watch points cross the lower and upper fences in real time, turning red the moment they're classified as statistical outliers — the same rule data scientists reach for first during exploratory data analysis, before anything more expensive like an ML anomaly detector.

⚙ Under the hood

Generate a dataset and watch it rendered as a live 3D box plot — drag the IQR fence multiplier to see exactly which points get flagged as statistical outliers, the same rule used in exploratory data analysis before any ML-based anomaly detector.

data sciencestatisticsbox plotoutliersIQRexploratory data analysis

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install