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Fork of Iris Dataset Scatter Plot

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Ggopiganta
Last edited Mar 5, 2022
Created on Mar 5, 2022

This example visualizes the Iris Dataset as a scatter plot, mapping petal length and width to the x and y axes while coloring each point according to species. A second set of attributes, sepal length and width, is encoded as custom `rx` and `ry` properties on the SVG circles, though these do not affect the visual rendering since the `r` attribute is fixed. The code uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to fetch data, scale axes, and render SVG marks.

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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 example visualizes the Iris Dataset as a scatter plot, mapping petal length and width to the x- and y-axes. Points are colored by species (setosa, versicolor, virginica) using blue, red, and black. The chart also encodes sepal length and width into the `rx` and `ry` attributes of each circle, though these do not affect rendering since they are not recognized SVG circle properties. The implementation uses D3 v6 to load CSV data with `d3.csv`, scales with `scaleLinear`, and draws axes via `axisLeft` and `axisBottom`.

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Fork of Iris Dataset Scatter Plot

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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This example visualizes the Iris Dataset as a scatter plot, mapping petal length and width to the x- and y-axes, with points colored by species (blue for setosa, red for versicolor, black for virginica). It uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale coordinates, and render axes. Although the circles are drawn using `selectAll` and `join`, the code also sets non-standard `rx` and `ry` attributes from sepal measurements, though these do not affect the circular shape. The plot fills the entire window and is rendered as SVG.

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This example visualizes the Iris Dataset as a scatter plot, mapping petal length and width to the x and y axes while colors denote the three species (setosa, versicolor, and others). It also embeds sepal length and width as additional attributes on the circles. The code loads CSV data via `d3.csv`, scales the values with `d3.scaleLinear`, and renders SVG circles using `d3.select` and `.join()`. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, and the visualization fills the browser window using `window.innerWidth` and `window.innerHeight`.

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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 (orange, darkpink, and gold). It loads CSV data via `d3.csv`, parses numeric fields, and uses `d3.scaleLinear` with `d3.extent` to set domains. Axes are rendered with `d3.axisLeft` and `d3.axisBottom`, while circles are drawn using SVG `selectAll().data().join()`. Although labels mention sepal dimensions, the axis text is inconsistent, and the `rx`/`ry` attributes do not affect circle rendering.

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