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Fork of activity6_tutorial3.1

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Sshreshikaveerannagari@gmail.com
Last edited Apr 5, 2025
Created on Apr 5, 2025

This scatter plot visualizes the Iris dataset, mapping petal length and width for each specimen while coloring points by species (setosa, versicolor, or virginica). The D3 v6 code loads CSV data from a GitHub repository and uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the SVG visualization. The plot also encodes sepal dimensions in each point's radius (`rx`/`ry` attributes), though these are not scaled to the axes. The visualization renders circles with custom colors and labeled axes in an HTML page.

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activity6_tutorial3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width for individual flowers while coloring each point by species (setosa, versicolor, and virginica). The visualization uses D3 v6 to load the CSV data from a GitHub repository and render the scatter plot as an SVG, with linear scales for both axes and axis labels for petal length and sepal length. The code constructs circles with D3 joins, assigning distinct colors based on species categories, and includes left and bottom axes using D3's axis functions.

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This visualization is an interactive scatter plot of the Iris dataset, displaying petal length and petal width for three flower species—setosa, versicolor, and virginica—distinguished by color. The plot uses D3 v6 APIs, including `csv` for data loading, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for rendering the scales. It renders circles as SVG marks, with additional sepal measurements stored as properties but not used in the visual encoding. The chart is sized to the full window, with green axis labels and a red title.

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This visualization displays the Iris dataset as a scatter plot, mapping sepal length on the x-axis and petal length on the y-axis, with points colored and shaped by species. It includes a custom shape legend for the three species. The implementation uses D3 v7 modules like `scaleLinear`, `scaleOrdinal`, and `symbol` to generate marks, while `axisLeft` and `axisBottom` handle the axes. Data is loaded asynchronously via `fetch` and parsed with `csvParse` from a GitHub-hosted CSV file. The chart is rendered into an SVG that fills the viewport.

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This interactive scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring each point by species (setosa, versicolor, or virginica). The visualization also encodes sepal length and width in the circle radius, though this behavior appears flawed as the code sets both `rx` and `ry` attributes without a clear geometric effect. Built with D3 v6, the example uses `d3.csv` to load remote data, `scaleLinear` and `extent` for scaling, and `axisLeft`/`axisBottom` for axes, rendering circles in an SVG canvas with a full-window viewport.

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This interactive scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring each point by species (setosa, versicolor, or virginica). The visualization also encodes sepal length and width in the circle radius, though this behavior appears flawed as the code sets both `rx` and `ry` attributes without a clear geometric effect. Built with D3 v6, the example uses `d3.csv` to load remote data, `scaleLinear` and `extent` for scaling, and `axisLeft`/`axisBottom` for axes, rendering circles in an SVG canvas with a full-window viewport.

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This scatter plot visualizes the Iris dataset, mapping petal length and width on the axes while coloring points by species (setosa, versicolor, and virginica) with distinct fill colors. The visualization uses D3 v6’s `csv` loader to fetch data from a GitHub gist, `scaleLinear` for axis scaling, and `axisLeft`/`axisBottom` for labeled axes. Circles are rendered via SVG with a fixed radius, and additional attributes like sepal dimensions are bound to each mark but not visually encoded.

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This scatter plot visualizes the Iris dataset, mapping petal length and width while coloring each point by species (setosa, versicolor, or virginica). The D3 v6 code loads CSV data from a GitHub repository, uses `scaleLinear` and `extent` for axes, and renders SVG circles with custom `rx` and `ry` attributes. Axis labels highlight the petal and sepal measurements, with the visualization filling the entire browser window.

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This scatter plot visualizes the Iris dataset, mapping petal length and width for individual data points, with color coding by species (setosa, versicolor, virginica). The visualization uses D3.js v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load and parse the CSV data from a GitHub gist, then render SVG circles. Axes are labeled for petal length and sepal length, though the data mapping uses petal dimensions for positioning. The code also references additional properties like sepal measurements, which are not directly used in the final point placement.

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