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Eeyxxr1260@gmail.com
Last edited Sep 20, 2024
Created on Sep 20, 2024
Forked from hw2

This interactive parallel coordinate plot visualizes the Iris dataset, showing the relationships between sepal length, sepal width, petal length, and petal width across three iris species, colored using an ordinal color scale. Users can drag the vertical axes to reorder dimensions, with the polylines and remaining axes smoothly transitioning to new positions via d3.drag and d3.transition. The visualization is built with D3 v7, using d3.scalePoint for axis placement and d3.scaleLinear for each trait’s y-axis, rendering semi-transparent SVG paths for each data record.

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scatter plot

MIT Licensed

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This interactive parallel coordinate plot visualizes the Iris dataset, showing how sepal and petal measurements vary across three iris species. The SVG displays each flower as a colored polyline spanning four vertical axes, with colors distinguishing species classes. Using D3 v7, the visualization implements drag-and-drop axis reordering, allowing users to rearrange dimensions interactively. The code employs d3.scaleLinear for value mapping, d3.scalePoint for axis positioning, d3.drag for user interaction, and d3.line for path generation, with data loaded from a local CSV file.

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This interactive parallel coordinate plot visualizes the Iris dataset, displaying four measurements—sepal length, sepal width, petal length, and petal width—as connected polylines for 149 samples, colored by species (red, green, blue). Users can drag any axis horizontally to reorder dimensions, which updates the line paths accordingly. Built with D3 v4, it uses `d3.scaleOrdinal` for color mapping, `d3.scalePoint` for axis positioning, `d3.axisLeft` for rendering ticks, and `d3.drag` for interactive reordering, with hover highlighting that dims non-selected lines via `transition()` styling.

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