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Co2 H. Tashakori

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Ttashakori16@gmail.com
Last edited Mar 23, 2025
Created on Mar 23, 2025

This animated scatter plot demonstrates how correlations among four Iris flower measurements shift as the axes cycle through different attribute pairs. D3's `scaleLinear` maps values to coordinates, while `axisLeft` and `axisBottom` render the changing scales. The visualization cycles the x-axis through petal width, sepal width, petal length, and sepal length, recolors points by species, and uses SVG circles for marks. It loads the classic Iris dataset from a GitHub-hosted CSV via `d3.csv`.

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A demonstration of reusable scatter plot.

MIT Licensed

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Co2 H. Tashakori

This animated scatter plot demonstrates how correlations among four Iris flower measurements shift as the axes cycle through different attribute pairs. D3's `scaleLinear` maps values to coordinates, while `axisLeft` and `axisBottom` render the changing scales. The visualization cycles the x-axis through petal width, sepal width, petal length, and sepal length, recolors points by species, and uses SVG circles for marks. It loads the classic Iris dataset from a GitHub-hosted CSV via `d3.csv`.

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This animated scatter plot visualizes the Iris flower dataset, cycling through four different measurement axes (petal width, sepal width, petal length, and sepal length) on the x-axis while keeping sepal length on the y-axis. Points are colored by species (setosa, versicolor, virginica), with a legend and axis labels rendered via SVG. The visualization uses D3.js v6 APIs including `csv`, `scaleLinear`, `axisLeft`, `axisBottom`, and `selectAll` to update circles and axes at each interval, with data loaded from a GitHub-hosted CSV file.

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