Fork of Reusable Scatter Plot

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Fork of Reusable Scatter Plot

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Last edited Mar 28, 2022

Created on Mar 28, 2022

A scatter plot of the Iris dataset shows petal length against sepal length for three flower species, with each species color-coded in green, indigo, or red. Users click through animated transitions that rotate the x-axis among four measured variables every two seconds, using D3 scales, axes, and circle elements. The visualization also renders an additional set of circles with rectangular corner radii based on sepal measurements, and loads data asynchronously via D3’s `csv` parser.

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Implementation of a Reusable D3 scatter plot. Shows the Iris Dataset.

MIT Licensed

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This animated scatter plot cycles through different Iris dataset attributes, mapping petal width, sepal width, petal length, and sepal length onto the x-axis while the y-axis displays sepal length. Each species is color-coded green, blue, or red. Built with D3.js, it uses `csv`, `scaleLinear`, `axisLeft`, and `axisBottom` within a reusable `scatterPlot` function, rendering SVG circles and updating axes every two seconds via `setInterval`.

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This animated scatter plot visualizes the Iris dataset, showing the relationship between petal width and sepal length for three flower species. The visualization cycles through different variable pairings every two seconds, rotating among petal_width, sepal_width, petal_length, and sepal_length on the x-axis. Built with D3 v6, the example uses `scaleLinear` and `scaleOrdinal` for axes and color encoding, with circles rendered as SVG elements. Data loads from a GitHub Gist CSV, and the reusable `scatterPlot` function updates axes and marks dynamically through a `setInterval` loop.

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Animated scatter plot of the Iris dataset built with D3.js, showing petal measurements on the axes. The visualization cycles through four different column combinations (petal width, sepal width, petal length, sepal length) every two seconds, updating the x and y axes via a reusable `scatterPlot()` component. Circles are colored by species using `d3.scaleOrdinal`, with SVG rendering, axes from `axisLeft` and `axisBottom`, and a legend appended. Data loads from a CSV URL, and the plot uses `selectAll`, `join`, and `setInterval` to animate transitions.

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