Fork of Interactive Color Legend

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Fork of Interactive Color Legend

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Last edited Feb 9, 2021

Created on Feb 9, 2021

This interactive scatter plot visualizes the Iris Dataset, mapping petal length against sepal width for three flower species. Hovering over a species in the color legend highlights only those data points while fading the rest. Built with React and D3 v5, the visualization uses `scaleLinear` for axes, `scaleOrdinal` for color encoding, and SVG circles for marks.

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A scatter plot of The Iris Dataset.

MIT Licensed

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Fork of Interactive Color Legend

This interactive scatter plot visualizes the Iris Dataset, plotting petal length against sepal width for three species of iris flowers. Users can hover over a species in the color legend to highlight only those corresponding data points while fading the others. Built with React and D3 v5, the visualization uses `scaleLinear` for axes, `scaleOrdinal` for categorical colors, and SVG circles rendered via React components. The legend interactions manage hover state to dynamically adjust opacity, providing a clear comparison between species.

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This interactive scatter plot visualizes the Iris flower dataset, mapping petal length against sepal width for three species. Hovering over the color legend highlights only the corresponding species points while fading the others. Built with React and D3 v5, it uses `scaleLinear`, `scaleOrdinal`, and SVG circles via the `Marks` component. The dataset loads through D3's `csv` parser from a GitHub gist.

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A scatter plot of the Iris dataset shows how petal length and sepal width relate across three flower species, with a color-coded legend that filters data points on hover. Built with React and rendered as SVG using D3 v5 scales (`scaleLinear`, `scaleOrdinal`), the visualization uses circle marks and interactive legend ticks that fade unrelated points. The legend and axes are constructed from reusable components, and the data is loaded via D3’s CSV parser.

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