Fork of Iris Dataset Scatter Plot

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Fork of Iris Dataset Scatter Plot

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Last edited Mar 5, 2022

Created on Mar 5, 2022

This scatter plot visualizes the Iris Dataset, mapping petal length and width to the x- and y-axes while coloring points by species (setosa, versicolor, and virginica). Using D3 v6, the code loads the CSV data, applies linear scales via `scaleLinear` and `extent`, and renders circles with SVG. It also passes sepal measurements as `rx` and `ry` attributes, though these do not affect circle radius, which remains fixed. Axes are drawn with `axisLeft` and `axisBottom`.

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A vanilla HTML implementation of a D3 scatter plot. Shows the Iris Dataset.

MIT Licensed

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Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the classic Iris Dataset, mapping petal length and width on the x- and y-axes, with each point colored by species (setosa, versicolor, virginica) via a custom marker function. Built with vanilla HTML and D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render SVG circles and axes. The data loads from a remote CSV using `d3.csv`, and the plot fills the browser window, with marks carrying additional sepal measurements as unused `rx` and `ry` attributes.

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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 (blue for setosa, red for versicolor, black for virginica). The code loads the data via `d3.csv`, scales the axes with `d3.scaleLinear`, and renders the circles as SVG elements using `selectAll` and `join`, while also storing sepal measurements for potential use. Axes are added with `d3.axisLeft` and `d3.axisBottom`, and the chart fills the entire viewport.

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This scatter plot visualizes the classic Iris Dataset, mapping petal length and width on the axes and coloring each point by species (setosa, versicolor, or virginica). It uses D3 v6 to load CSV data, parse numeric fields, and render an SVG with circles. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, while `d3.scaleLinear` and `d3.extent` set the scales. Although the circles carry extra sepal length and width attributes, only the petal dimensions are visible in the plot.

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This visualization displays the Iris Dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, and virginica). It also encodes sepal length and width as the horizontal and vertical radii of the ellipse-shaped markers, adding extra data dimensions. Built with D3 v6, the code loads CSV data using `d3.csv`, scales axes with `scaleLinear`, and renders the plot as SVG circles with `rx` and `ry` attributes, using `axisLeft` and `axisBottom` for ticks.

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This scatter plot visualizes the Iris Dataset, mapping petal length and width as x and y coordinates while coloring each point by species (setosa, versicolor, or virginica). It also stores sepal measurements as data attributes on each circle, though these are not used for positioning. The implementation uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale axes, and render an SVG with circles. Data is fetched from a GitHub Gist, and the viewport fills the browser window.

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