Anscombe's Quartet in 2D: Four Datasets, One Set of Statistics
Interactive 2D scatter-plot gallery of Anscombe's Quartet: four datasets sharing nearly identical mean, variance, correlation and regression line that look completely different once you plot them. Zoom and pan into any panel, add live jitter, and watch the statistics respond in real time.
Four small datasets, laid out here as four scatter panels, share nearly identical mean, variance, correlation and least-squares regression line — and look completely different the moment you actually look at them. This is the classic 1973 demonstration by statistician Francis Anscombe of why summary statistics alone can never replace a plot: a linear trend, a smooth curve, a near-perfect line broken by one outlier, and a correlation created entirely by a single extreme point all produce the same numbers on paper. Focus any dataset to read its live statistics, zoom and pan into its panel to inspect individual points, and drag the jitter slider to perturb the points in real time and watch the correlation, regression line and R² recompute on the fly.
Interactive 2D scatter-plot gallery of Anscombe's Quartet: four datasets sharing nearly identical mean, variance, correlation and regression line that look completely different once you plot them. Zoom and pan into any panel, add live jitter, and watch the statistics respond in real time.
2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install