Scatterplot Matrix Brushing

100%

Scatterplot Matrix Brushing

✓ Published0🌍 Public

Last edited Apr 28, 2016

Created on Apr 12, 2016

This example displays a scatterplot matrix of the classic Iris flower dataset, visualizing pairwise correlations among four morphological traits across three species. Brushing any cell highlights the corresponding points in all other scatterplots, while hovering also reveals individual data points. The visualization uses d3.svg.brush, d3.scale.linear, and a category color scale, with a legend generated via d3-legend. Data is loaded from an external CSV file, and rendering is done with SVG circles and axes.

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.

This version includes a legend created using d3-legend and highlighting on hover, in addition to brushing.

See also this simpler version with brushing and static version without brushing.

gpl-3.0 Licensed

Similar vizzes

Loading thumbnail…

Scatterplot Matrix Brushing

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.

KKuerzibe

92% match

Loading thumbnail…

Scatterplot Matrix Brushing

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.

Mmbostock

91% match

Loading thumbnail…

Brushable Scatterplot

This interactive scatterplot matrix displays the Iris dataset, showing pairwise relationships between four floral measurements. Each off-diagonal cell contains a scatterplot of data points colored by species, while diagonal cells display histograms of individual feature distributions. Users can brush rectangular regions across any plot to highlight corresponding points in all other cells, enabling rapid comparison of multi-dimensional correlations. The visualization is built with D3 v4, using d3.brush for the linked selections, d3.scaleLinear for axes, and d3.axisBottom/Left for tick marks, rendered as SVG.

Cchingching17

90% match

Loading thumbnail…

Brushable Scatter Plot Matrix

This interactive scatter plot matrix visualizes the Iris dataset, showing pairwise relationships between four flower measurements—sepal length, sepal width, petal length, and petal width—with points colored by species. Using d3.brush, users can drag across any off-diagonal cell to filter and highlight points across all other cells simultaneously, while diagonal cells display histograms of each variable's distribution. The visualization is built with d3.v4, rendering axes and circles as SVG elements, with scales derived from the CSV data's numeric ranges.

Hhi4u2qzy@gmail.com

89% match

Loading thumbnail…

Brushable Scatter Plot Matrix

A brushable scatter plot matrix displays pairwise relationships among four numeric iris flower measurements, with histograms along the diagonal showing each variable's distribution and points colored by species. The visualization is built using D3 v7, rendering SVG elements via `d3.csv` for data loading, `d3.scaleLinear` for axes, `d3.axisBottom` and `d3.axisLeft` for ticks, and `d3.histogram` for binning the diagonal distributions. Each off-diagonal cell encodes two variables as a scatterplot, while the color scale uses `d3.scaleOrdinal` with `d3.schemeCategory10` to distinguish Iris species.

Yyuting89830@gmail.com

87% match

Loading thumbnail…

Brushable scatterplot2

This interactive scatterplot matrix displays the iris dataset, showing pairwise relationships between four flower measurements (sepal and petal length and width) alongside histograms on the diagonal. The visualization uses d3.csv to load the data and d3.scaleLinear with d3.axisBottom and d3.axisLeft for axes. Points are colored by species using d3.scaleOrdinal, with colors distinguishing setosa, versicolor, and virginica. The chart is built entirely with SVG, and while brushable functionality is mentioned in the title, the code shown does not implement brushing interactions.

Cchingching17

87% match

Loading thumbnail…

Scatterplot Matrix Brushing d3v4

This example shows a scatterplot matrix of Anderson’s iris flower measurements, with four quantitative traits (sepal and petal length and width) plotted pairwise for 150 specimens, colored by species. Users can drag a rectangular brush on any cell to highlight matching points across all other plots, while unselected circles are dimmed. Built with D3 v4, it uses `d3.brush` for interactive selection, `d3.scaleLinear` and `d3.axisBottom`/`d3.axisLeft` for axes, and `d3.schemeCategory10` for colors. Data is loaded from a CSV file describing Edgar Anderson’s dataset, rendered as SVG circles.

PPhilippe Rivière

87% match

Loading thumbnail…

Cross Filter + Brushing

This example creates a scatter plot matrix (SPLOM) of the classic Iris flower dataset, showing pairwise relationships between sepal length, sepal width, petal length, and petal width, with points colored by species. Brushing a rectangular region in any cell highlights the selected points across all other cells, dimming unselected points to reveal correlations between different variable pairs. Built with D3.js v3, the visualization uses `d3.svg.brush` for the interactive selection, `d3.scale.linear` for axes, and `d3.svg.axis` for tick marks, rendering all elements as SVG.

AAjayyy

87% match