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Activity6_Task3.2

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Ppuneetputtu@my.unt.edu
Last edited Apr 2, 2025
Created on Apr 1, 2025

A scatter plot of the classic Iris dataset, showing sepal length against petal length for three species of iris flowers. The visualization encodes species through both color and distinct marker shapes: circles for setosa, squares for versicolor, and triangles for virginica, with a custom legend identifying each. Built with D3.js v7, the code loads data from a remote CSV, uses `d3.scaleLinear` for the axes, and renders the symbols using `d3.symbol` with `symbolCircle`, `symbolSquare`, and `symbolTriangle`. The SVG output is styled with CSS and includes labeled axes.

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Activity6_task3.2

This scatter plot visualizes the Iris dataset, showing petal length against sepal length for three species of iris flowers. Each species is represented by a distinct shape and color: circles for setosa, squares for versicolor, and triangles for virginica. The visualization uses D3 v6 with SVG rendering, employing `d3.scaleLinear` for axes, custom symbol generators from `d3.symbol`, and a legend built with `d3.symbolCircle`, `d3.symbolSquare`, and `d3.symbolTriangle`. Data is loaded from an external CSV file, and axes are labeled with "Sepal Length" and "Petal Length" in centimeters.

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This example visualizes the Iris dataset with a scatter plot comparing sepal length against petal length for three species (`setosa`, `versicolor`, and `virginica`). Each species is distinguished by a unique geometric symbol—circles, squares, and triangles—and assigned a distinct color (red, blue, and green). The visualization renders in SVG using D3 v7, with `d3.axisBottom` and `d3.axisLeft` for axes, `d3.scaleLinear` for positioning, and `d3.symbol` to generate the point shapes. Data is loaded from a remote CSV file, with a legend displaying each species’ shape and color.

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This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with each species represented by a distinct symbol shape. The plot encodes the three Iris species through shape, using d3.scaleOrdinal with symbolsFill to assign different geometric marks, while a custom legend explains the species mapping. Axes are rendered via d3.axisLeft and d3.axisBottom, with labels for both dimensions. The data is loaded asynchronously from a GitHub-hosted CSV file using d3.csvParse, and the visualization updates through a state management pattern that handles loading and rendering.

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