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Last edited Sep 21, 2024

Created on Sep 21, 2024

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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scatter plot

MIT Licensed

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Fork of hw222222

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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This interactive parallel coordinate plot visualizes the classic Iris flower dataset, showing how four measurements (petal length, petal width, sepal length, sepal width) vary across three species. Users can drag any vertical axis to reorder the dimensions, with the polygonal lines re-rendering dynamically. Hovering a line highlights its species while dimming others. The visualization uses d3.csv for data loading, d3.scaleLinear and d3.scalePoint for axes, d3.drag for interaction, and color-coded SVG paths with d3.line.

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This interactive parallel coordinate plot visualizes the classic Iris dataset, showing how sepal and petal measurements vary across three species of iris flowers. Users can click and drag any vertical axis to reorder the axes, which instantly updates the polyline paths that trace each flower’s characteristics. The visualization is built with D3 v5, using `d3.scalePoint` and `d3.scaleLinear` for positioning, while `d3.drag` handles the interactive reordering with smooth transitions. Species are distinguished by color through custom path strokes, and axis labels plus a legend clarify the data.

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This interactive parallel coordinate plot visualizes the classic Iris dataset, comparing sepal and petal measurements across three flower species. Users can toggle between unified and per-axis scaling via a dropdown menu, with colored lines representing Iris setosa, versicolor, and virginica. The visualization uses D3 v5 APIs including d3.scalePoint, d3.scaleLinear, d3.axisLeft, and d3.drag, enabling axis reordering through drag interactions with smooth transitions. SVG paths render each observation, while the semi-transparent stroke width highlights overlapping data patterns across the four quantitative dimensions.

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This interactive parallel coordinate plot visualizes the Iris dataset, showing how sepal length, sepal width, petal length, and petal width vary across three Iris species. Each flower is drawn as a colored line (red, blue, or green) using d3.line with SVG paths, with a legend mapping species to colors. Users can drag any axis via d3.drag, reordering the dimensions and smoothly animating the paths and axis positions with transition. The plot uses d3.scalePoint for categorical axes, d3.scaleLinear for the numeric range, and d3.axisLeft for tick marks.

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This example shows an interactive parallel coordinate plot of the classic Iris dataset, with each flower sample drawn as a semi-transparent polyline across four vertical axes for sepal length, sepal width, petal length, and petal width. Lines are color-coded by species (setosa, versicolor, virginica) via a custom color function. Users can drag axis labels horizontally to reorder dimensions, with the path geometry and axis positions updating live during the drag using d3.drag and a scaling transition on release. The visualization is rendered as SVG with d3.scalePoint, d3.scaleLinear, and d3.axisLeft.

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This interactive visualization displays the classic Iris flower dataset using parallel coordinate plots, with each of the 150 samples represented as a colored line connecting four vertical axes for sepal length, sepal width, petal length, and petal width. Users can reassign which measurement appears on each axis using dropdown menus, and the lines smoothly animate to their new positions via D3 transitions. The chart, built with D3 v5, uses `scaleLinear` and `axisLeft` to render the axes, with colors differentiating the three Iris species.

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This fork of the classic Iris parallel coordinate plot visualizes four flower measurements—sepal length, sepal width, petal length, and petal width—with colored lines for the three Iris species. Users can drag any axis to reorder the dimensions, which dynamically rearranges the paths and updates the axis positions. The code uses D3 v5 with `d3.scalePoint`, `d3.scaleLinear`, `d3.axisLeft`, `d3.line`, and `d3.drag` to render SVG paths and handle interactive reordering with smooth transitions. The data comes from the bundled `iris.csv` dataset, with species distinguished by color.

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