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Fork of Reusable D3 Scatter Plot

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MMeghanaArepalli
Last edited Mar 23, 2022
Created on Mar 23, 2022

This example demonstrates a reusable scatter plot that cycles through different dimensions of the Iris dataset every two seconds, animating the points as the x-axis mapping changes between columns such as petal width and sepal length. The visualization uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and data joins to render SVG circles with axes. It loads CSV data via `d3.csv`, parses numeric fields, and applies a custom margin and fixed radius per point. The animation is driven by `setInterval`, updating the x-value accessor and re-invoking the chart function.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts.

Shows the Iris Dataset.

MIT Licensed

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Fork of Reusable D3 Scatter Plot

This example demonstrates a reusable scatter plot that cycles through different dimensions of the Iris dataset, animating every two seconds. It visualizes sepal and petal measurements, with the x-axis switching between petal width, sepal width, petal length, and sepal length, while the y-axis remains fixed on sepal length. Built with D3.js v6, the code uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data to SVG circles, and the `scatterPlot` function encapsulates the chart’s configuration. The animation leverages `setInterval` to update the `xValue` accessor and re-render the plot, with data loaded from a remote CSV file via `d3.csv`.

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This example demonstrates a reusable scatter plot that cycles through different dimensions of the Iris dataset, animating every two seconds. It visualizes sepal and petal measurements, with the x-axis switching between petal width, sepal width, petal length, and sepal length, while the y-axis remains fixed on sepal length. Built with D3.js v6, the code uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data to SVG circles, and the `scatterPlot` function encapsulates the chart’s configuration. The animation leverages `setInterval` to update the `xValue` accessor and re-render the plot, with data loaded from a remote CSV file via `d3.csv`.

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