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Last edited Jul 20, 2023

Created on Jul 20, 2023

This example visualizes the classic Iris dataset with a scatter plot comparing petal length on the x-axis against sepal length on the y-axis. Each point represents a flower sample, colored by species (setosa, versicolor, or virginica) via CSS classes. The code uses D3 v7’s `csv`, `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` to load the data, map values to screen coordinates, and render axes. SVG circles are joined with data using the `join` method, producing a clear taxonomic distribution.

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

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This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while coloring each point by species: red for setosa, green for versicolor, and purple for virginica. The code loads CSV data via D3’s `csv` function, parses numeric columns, and builds scales with `scaleLinear` and `extent`. Circles are rendered as SVG elements with fixed radius, while axes are generated using `axisLeft` and `axisBottom`. The visualization also encodes sepal measurements as `rx` and `ry` attributes, though these do not affect circle appearance given the constant radius. The chart fills the browser window with a pale turquoise title.

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