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Cchandanagandla
Last edited Mar 30, 2023
Created on Mar 30, 2023

This interactive scatter plot visualizes the Iris dataset, showing the relationship between two flower measurements selected from a rotating set of four attributes. The plot cycles through different x-axis variables (petal width, sepal width, petal length, sepal length) every few seconds, updating the axis labels and circle positions with a smooth animation. Species are color-coded—pink for setosa, blue for versicolor, yellow for virginica—with a legend displayed alongside. Built using React with D3 v6, the visualization leverages `scaleLinear`, `axisLeft`, and `axisBottom` for axes, and D3's `csv` loader for data ingestion, rendered as SVG circles with interval-driven transitions.

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 interactive scatter plot visualizes the Iris dataset, cycling through different feature pairings on the x-axis every few seconds. Points are color-coded by species (setosa, versicolor, and virginica), with a legend and axis labels updating dynamically. Built with D3 v6 and React, the visualization uses `d3.csv` to load data, `scaleLinear` and `axisBottom`/`axisLeft` for scales and axes, and `setInterval` to animate transitions between sepal and petal measurements. SVG circles render the data, while CSS styling applies a custom font.

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