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Activity6-3

✓ Published0🌍 Public
BBibek Lamsal
Last edited Apr 17, 2024
Created on Apr 17, 2024

This visualization displays the Iris dataset as a scatter plot, mapping petal length to the x-axis and petal width to the y-axis, with points colored by species. It uses D3 v6 to load CSV data, create linear scales, and render SVG circles with axes. The code also calculates redundant sepal measurements but does not display them in the plot.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Activity6-3.1

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length, with points colored and shaped according to species. The visualization uses D3 v7's `scaleLinear` for axes, `scaleOrdinal` with `symbolsFill` for categorical shapes, and a custom legend to map species to distinct symbols. Data is loaded asynchronously from a remote CSV file using `csvParse`, and the axes and legend are rendered via reusable D3 modules.

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Activity6_Task3

This visualization displays the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis while coloring each point by species. Using D3 v6, it loads CSV data via `d3.csv`, applies `scaleLinear` for both axes, and renders circles with `d3.selectAll` and `.join`. Axis labels are added via `axisLeft` and `axisBottom`, with rotated text for the vertical label. Despite naming variables for sepal length and width, only petal dimensions are plotted, while species hues are hardcoded for setosa, versicolor, and virginica.

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Activity_6_2.

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Activity6_3

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