Scatterplot Matrix Brushing

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Scatterplot Matrix Brushing

✓ Published0🌍 Public

Last edited Mar 15, 2019

Created on Mar 15, 2019

This scatterplot matrix shows pairwise correlations among four measurements of iris flowers, colored by species, with the ability to brush in any cell to filter and highlight matching points across all other cells. The visualization is built with D3 v3 using SVG, CSV data loading via `d3.csv`, and scales from `d3.scale.linear`. Brushing relies on `d3.svg.brush`, with brush events (`brushstart`, `brush`, `brushend`) updating circle visibility via the `hidden` class. The iris dataset originates from Anderson and Fisher, and the matrix layout is generated through a cross-product of trait pairs.

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.

forked from <a href='http://bl.ocks.org/mbostock/'>mbostock</a>'s block: <a href='http://bl.ocks.org/mbostock/4063663'>Scatterplot Matrix Brushing</a>

gpl-3.0 Licensed

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