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HW3 : Brushable Scatter Plot Matrix

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LLSAWB
Last edited Oct 15, 2023
Created on Sep 20, 2023
Forked from HTML Starter

This example shows a brushable scatter plot matrix of the Iris dataset, with each cell comparing two flower traits (sepal length, sepal width, petal length, petal width) and points colored by species. A user can drag on any cell to brush a rectangular region, which highlights matching data points across all other cells. The visualization is built with React and rendered as an SVG using D3 v6, employing d3.scaleLinear for positioning, d3.scaleOrdinal for color, and custom mouse event handlers for the brushing interaction.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

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HW4 Brushable Scatterplot Matrix

A brushable scatterplot matrix displays pairwise relationships among four Iris flower measurements (sepal length, sepal width, petal length, petal width) from the classic Iris dataset. Users drag a brush rectangle over any scatterplot cell to highlight corresponding points across all other cells, while unselected points dim. Diagonal cells show histograms of each measurement. The visualization uses D3 v7 with `d3.scaleLinear` axes, `d3.brush` for interactive selection, and SVG rendering; three Iris species are color-coded with distinct hex values.

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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.

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This visualization is a brushable scatter plot matrix of the Iris dataset, showing pairwise relationships between sepal and petal measurements. Each off-diagonal cell displays colored scatter points by iris species, while diagonal cells show histograms of individual trait distributions. Users can brush over any cell to highlight corresponding points across all other plots. The code uses D3 v4 with SVG rendering, employing `d3.brush`, `d3.histogram`, `d3.scaleLinear`, and `d3.scaleOrdinal` to generate the interactive matrix. Data is loaded from a local CSV file.

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This example is a brushable scatter plot matrix of the Iris dataset, showing pairwise relationships between sepal and petal measurements with points colored by species. The matrix features histograms along the diagonal and scatter plots in off-diagonal cells, where users can brush to highlight selections across all panels. Built with D3 v4 and SVG, it uses `d3.brush()` for interactive brushing, `d3.scaleLinear` and `d3.scalePoint` for positioning, and `d3.histogram()` to bin data for the diagonal distributions. The visualization is derived from the classic brushable scatter plot matrix example, adapted to include per-cell axes and histograms.

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This example is a brushable scatter plot matrix of the Iris dataset, showing pairwise relationships between sepal and petal measurements with points colored by species. The matrix features histograms along the diagonal and scatter plots in off-diagonal cells, where users can brush to highlight selections across all panels. Built with D3 v4 and SVG, it uses `d3.brush()` for interactive brushing, `d3.scaleLinear` and `d3.scalePoint` for positioning, and `d3.histogram()` to bin data for the diagonal distributions. The visualization is derived from the classic brushable scatter plot matrix example, adapted to include per-cell axes and histograms.

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