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RRakshithaRao27
Last edited Mar 27, 2022
Created on Mar 27, 2022

This scatter plot visualizes the Iris dataset, mapping petal length and width on the axes while coloring each point by species (setosa, versicolor, or virginica) using red, blue, and green. It also encodes sepal length and width as elliptical radii for each circle. Built with D3 v6 in a React project, the SVG rendering uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to generate scales and axes from CSV data loaded via `d3.csv`.

AI-generated description

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

See also React Starter.

MIT Licensed

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This scatter plot visualizes the Iris dataset, mapping petal length and width on the axes while coloring each point by species (setosa, versicolor, or virginica) using red, blue, and green. It also encodes sepal length and width as elliptical radii for each circle. Built with D3 v6 in a React project, the SVG rendering uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to generate scales and axes from CSV data loaded via `d3.csv`.

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This scatter plot visualizes the Iris dataset, encoding petal length and petal width as x and y coordinates, while coloring each point by species. The code also reads sepal length and width values into the `rx` and `ry` attributes of each circle, though these do not affect the visual rendering since `r` is set to a fixed radius. Built with React and D3 v6, it uses `d3.csv` for data loading, `d3.scaleLinear` for scales, and `d3.axisLeft`/`d3.axisBottom` for axes with custom labels.

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