Scatterplot Matrix Brushing

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Scatterplot Matrix Brushing

✓ Published0🌍 Public

Last edited Jun 15, 2019

Created on Nov 13, 2012

A scatterplot matrix uses the classic iris flower dataset to display pairwise correlations across four measurements: sepal and petal length and width. Each cell contains a scatterplot of two traits, and users can drag a rectangular brush over any plot to highlight the same flowers across all other cells. The highlighted selection is synced throughout the matrix, while unselected points are grayed out. The visualization is built with D3 v3, using SVG rendering, `d3.scale.linear` for axes, and `d3.svg.brush` to manage brush interactions.

AI-generated description

The scatterplot matrix visualizations pairwise correlations for multi-dimensional data; each cell in the matrix is a scatterplot. This example uses Anderson's data of iris flowers on the Gaspé Peninsula. Scatterplot matrix design invented by J. A. Hartigan; see also R and GGobi. Data on Iris flowers collected by Edgar Anderson and published by Ronald Fisher.

See also this simpler static version without brushing.

gpl-3.0 Licensed

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