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Last edited Mar 26, 2023

Created on Mar 26, 2023

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This interactive scatter plot visualizes the classic Iris dataset, displaying the relationships between sepal and petal measurements across three species of iris flowers. Using the D3.js library within a React framework, the visualization animates through four different column pairings, cycling the x-axis between petal width, sepal width, petal length, and sepal length every few seconds. Each data point is colored by species (black, blue, or pink), with a legend identifying the categories, while the SVG rendering includes axis labels, a title, and a dynamic species legend.

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A bare minimum HTML page demonstrating use of CSS and JavaScript.

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This interactive scatter plot visualizes the Iris dataset using D3 v6 within a React framework, rendering as SVG with animated transitions. The plot cycles through different x-axis variables (petal width, sepal width, petal length) on a timed interval, while the y-axis shows sepal length. Points are colored by species—setosa, versicolor, and virginica—with a custom color legend and axes generated using `scaleLinear`, `axisLeft`, and `axisBottom`. Data is loaded via `csv` from a VizHub URL, with all marks drawn as circles.

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This interactive scatter plot visualizes the Iris dataset, showing the relationship between different flower measurements (petal and sepal length/width) as colored points for three species. Using D3.js within a React framework, the code animates through different x-axis metrics on an interval, updating the axes and circles. The plot uses `d3.select`, `d3.csv`, and custom `scatterPlot` logic with `scaleLinear`, `axisLeft`, and `axisBottom` to render the SVG, while a static legend with colored markers identifies each species.

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