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D3 Scatter Plot

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Ccharlieronchetti@gmail.com
Last edited Feb 22, 2024
Created on Feb 21, 2024
Forked from HTML Starter

This D3 scatter plot visualizes the classic Iris dataset, mapping petal length on the x-axis against sepal length on the y-axis for each flower sample. The visualization uses D3 v7's `csv` loader to fetch and parse the remote dataset, then applies `scaleLinear` and `extent` to compute the axis domains from the numeric columns. SVG circles are drawn using a data join, with axes generated via `axisLeft` and `axisBottom`. The chart is rendered in vanilla HTML and JavaScript, filling the browser viewport dynamically.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

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D3 Scatter Plot

This D3 scatter plot visualizes the classic Iris dataset, plotting sepal length against petal length for each flower specimen. The visualization uses D3 v7 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data coordinates to SVG circle positions with a fixed radius of 5 pixels. Circles are rendered via SVG `<circle>` elements appended through D3's selection and join operations, with axes positioned using margin-based transforms. The chart fills the browser window, with data loaded asynchronously from a remote CSV file using `d3.csv`.

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This D3 example visualizes the classic Iris dataset as a scatter plot, mapping petal length on the x-axis against sepal length on the y-axis. It uses the `d3.csv` loader to fetch and parse the remote CSV, then applies `d3.scaleLinear` to construct axes and `d3.extent` to compute their domains. The SVG chart fills the browser window, with points rendered as circles via a data join (`selectAll` and `join`). Axis labels are omitted, but `axisLeft` and `axisBottom` draw the quantitative tick marks.

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This D3 scatter plot visualizes the classic Iris flower dataset, mapping petal length on the x-axis against sepal length on the y-axis. Each data point is rendered as a circle with an SVG `<title>` element that reveals precise coordinates on hover. The visualization uses `d3.scaleLinear` to map data values to pixel positions within specified margins, while `d3.axisBottom` and `d3.axisLeft` create labeled axes. The code loads data asynchronously via `d3.csv` and generates the plot with `d3.select` and `.join('circle')`.

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This example displays the classic Iris dataset as an interactive scatter plot, mapping petal length on the x-axis and sepal length on the y-axis to reveal patterns across the flower samples. The visualization uses D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` APIs to construct axes and render circles in SVG, with data loaded asynchronously via `d3.csv` from a GitHub gist. The plot fills the entire browser window, using a simple margin-based layout and a fixed point radius to represent each data point.

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This D3 scatter plot visualizes the classic Iris dataset, mapping petal length and sepal length on the x- and y-axes. The SVG visualization uses the modular d3.scaleLinear extent and axis functions to compute scales and draw ticks. Iris data is loaded asynchronously via `d3.csv`, with numeric parsing and a color scheme imported from `d3-scale-chromatic` for interpolation. The plot fills the browser window, using a data join to create circles for each Iris sample.

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