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Tutorila3 and 3.1

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KKritin Kesav
Last edited Apr 11, 2024
Created on Apr 11, 2024
Forked from Hello VizHub

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while distinguishing species through color: sky blue for setosa, light green for versicolor, and orange for virginica. The visualization is rendered as an SVG using D3 version 6.7.0, loading remote CSV data via `d3.csv`. Both axes use `d3.scaleLinear` with `d3.extent` for domain scaling, while `d3.axisLeft` and `d3.axisBottom` generate the tick marks and labels. Circle marks are appended with the `.join` operation, and the SVG is sized to the full browser window dimensions.

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This scatter plot visualizes the Iris dataset, comparing petal length against petal width for individual flowers, with colors distinguishing the three species (setosa, versicolor, and virginica). It uses D3 v6 to load CSV data from a GitHub repository, scale linearly with `d3.scaleLinear`, and render circles in an SVG. The axes are drawn with `d3.axisLeft` and `d3.axisBottom`, while separate labels indicate the plotted variables, although the code also loads sepal dimensions without displaying them in the final chart.

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This example uses D3 v6 to create a scatter plot of the Iris dataset, loaded via CSV from a GitHub repository. It visualizes petal length on the x-axis and petal width on the y-axis, with circles colored by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. The code employs `d3.csv` for parsing, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scales and axes. The SVG rendering uses `select` and `join` to bind data to circle elements.

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