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ACTIVITY6_T3

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VVarshithMurakonda@my.unt.edu
Last edited Apr 1, 2025
Created on Apr 1, 2025
Forked from Hello VizHub

This scatter plot visualizes the Iris dataset, showing each flower's petal length on the x-axis and petal width on the y-axis. Each point is colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica), and a legend identifies these color groupings. Built with D3 v6, the visualization uses `d3.csv` to load data, `d3.scaleLinear` for axis scaling, and `d3.axisLeft`/`d3.axisBottom` to render axes. The code also loads sepal dimensions into the dataset, though these are not visually encoded.

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activity 6 task3.1

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each point colored by species (skyblue for setosa, lightgreen for versicolor, and orange for virginica). The visualization uses D3 v6 to load the data via the `d3.csv` function, then maps the data to SVG circles using `d3.scaleLinear` for the x and y axes, with `d3.axisLeft` and `d3.axisBottom` for the labeled axes. The code also parses additional sepal measurements but does not use them in this view.

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This example visualizes the Iris dataset as a scatter plot, showing the relationship between sepal length and petal length across three species—setosa, versicolor, and virginica. Each species is distinguished by a different geometric shape (circle, square, or triangle), rendered via SVG paths using `d3.symbol` and `d3.scaleOrdinal`. A legend explains the shape-to-species mapping. The code uses D3 v7 to load the CSV data, build linear scales with `scaleLinear`, and render axes with `d3.axisLeft` and `d3.axisBottom`.

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