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Assignment2

✓ Published1🌍 Public
1188r1a0559@gmail.com
Last edited Apr 5, 2024
Created on Apr 5, 2024

This animated scatter plot visualizes the Iris flower dataset, cycling through four measurement combinations of petal and sepal dimensions. Colored circles represent three species (setosa, versicolor, virginica) with a legend and axis labels. The visualization uses a reusable D3 scatter plot module (`scatterPlot()`) with `scaleLinear`, `axisLeft`, and `axisBottom` for axes. Data is loaded via D3's `csv` parser from a GitHub-hosted CSV file, with the view updating every few seconds through `setInterval`. SVG circles and text elements render the animated chart.

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A demonstration of reusable scatter plot.

MIT Licensed

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Assignment2

This interactive scatter plot visualizes the Iris dataset, displaying petal and sepal measurements with color-coded species markers. Using d3.csv and d3.scaleLinear, it creates an SVG visualization that animates through different measurement combinations on the x-axis every few seconds via setInterval. The code employs d3.axisBottom and d3.axisLeft for axes, while a custom legend labels species categories. The reusable scatterPlot function, defined with D3’s module pattern, accepts configurable accessors and margin settings, allowing dynamic updates as the selected measurement column changes.

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This animated scatter plot visualizes the Iris dataset, cycling through different x-axis assignments (petal width, sepal width, petal length, sepal length) to explore relationships between flower measurements. Points are colored by species (setosa, versicolor, virginica) with a custom legend. The visualization uses D3's `csv` loader, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs within a reusable `scatterPlot` module, rendering SVG elements updated via `setInterval`.

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This interactive scatter plot animates through different pairings of Iris flower measurements, cycling the x-axis among petal width, sepal width, petal length, and sepal length while keeping sepal length on the y-axis. Points are colored by species—setosa, versicolor, and virginica—with a legend and fixed axes. Built with D3 v6, it uses `scaleLinear`, `axisLeft`, `axisBottom`, and `setInterval` to update the chart, loading data from a remote CSV. The SVG rendering includes custom text labels, a title, and a rotating axis label.

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An interactive scatter plot displays the Iris dataset, animating through different pairings of sepal and petal measurements while coloring points by species. The code uses D3.js with `csv` for data loading, `scaleLinear` and `extent` for axes, and `axisLeft`/`axisBottom` for ticks. A `setInterval` cycles the x-axis variable among four columns, while the scatterPlot module handles updates. SVG circles, custom labels, and a color legend render the visualization.

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Assignment2 Tutorial

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This animated scatter plot explores the Iris dataset, cycling through different x-axis attributes (petal width, sepal width, petal length, sepal length) every few seconds while keeping sepal length on the y-axis. Colored circles distinguish the three Iris species, with a legend and axis labels updating dynamically. The visualization loads data via `d3.csv` and renders SVG elements using D3 v5, building a reusable scatter plot component with `scaleLinear`, `axisLeft`, `axisBottom`, and `setInterval` for animation.

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