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Last edited Mar 2, 2023

Created on Mar 2, 2023

This visualization displays the classic Iris Dataset as a scatter plot, mapping sepal length on the x-axis against petal length on the y-axis, with each of the 150 flowers represented as a circle. The code uses D3 v7’s `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` functions to position points and render labeled axes. Data is loaded from an external CSV file and parsed with `csvParse`, then rendered using D3’s data join pattern with circles.

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A scatter plot of the Iris Dataset.

MIT Licensed

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This scatter plot displays the classic Iris dataset, mapping sepal length along the x-axis and petal length along the y-axis. Each flower specimen is rendered as a circle, with all 150 data points plotted without axes or gridlines. The visualization uses D3 v7, loading data via a CSV fetch and parsing it with `csvParse`. The `scatterPlot` module constructs linear scales using `scaleLinear` and `extent`, then positions circles using the `join` API based on the selected measurement columns.

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