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Last edited Mar 22, 2023

Created on Mar 22, 2023

A D3.js scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis as separate circles. The chart uses SVG rendering with `d3.scaleLinear` for both axes, `d3.extent` to compute domains, and `d3.axisLeft` and `d3.axisBottom` for tick marks. Data is loaded asynchronously from a CSV file via `d3.csv`, with petal width parsed as a numeric value. The visualization fills the browser window and sets a fixed circle radius of 5 pixels.

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

MIT Licensed

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A D3 scatter plot displays the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. Each flower is represented as a circle with a fixed radius of 5 pixels. The visualization uses `d3.csv` to load the data, `d3.scaleLinear` for both axes, and `d3.extent` to compute the domains. Axes are rendered with `d3.axisLeft` and `d3.axisBottom`, with the SVG filling the full browser window. The chart is built using D3 v6 and styled with a 24-pixel tick font.

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A D3 scatter plot displays the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis for individual flower specimens. Each data point is rendered as a fixed-radius SVG circle, with axes scaled using `d3.scaleLinear`. The code loads the CSV data via `d3.csv`, parses numeric fields, and appends an SVG canvas sized to the browser viewport. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, while the circles are bound to data and added using `d3.selectAll` and `.join`.

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This example visualizes the Iris dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. Built with vanilla JavaScript and D3 v6, the SVG circles are positioned using `d3.scaleLinear` with domains from `d3.extent` and ranges derived from the window’s dimensions. Data is loaded via `d3.csv` from a GitHub Gist, with numeric columns parsed on ingestion. Axis rendering via `d3.axisLeft` and `d3.axisBottom` is present but commented out, leaving the chart with only the plotted points.

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This example visualizes the Iris Dataset using a D3 scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses d3.csv to load the data, d3.scaleLinear and d3.extent to compute scales, and d3.axisLeft and d3.axisBottom to render axes. The SVG circles are positioned using the d3.select and join API, with a radius of 5 pixels. The plot fills the entire browser window by setting the SVG dimensions to window.innerWidth and window.innerHeight.

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This scatter plot visualizes the Iris Dataset, plotting petal length against sepal length for individual flowers. The visualization is built with D3 version 6, using `scaleLinear` for both axes, `extent` to compute data domains, and `axisLeft`/`axisBottom` for tick marks. The code retrieves data from a CSV file via `d3.csv`, then renders circles with a fixed radius of 5 pixels. The SVG canvas fills the entire browser window, with axes labeled at 24-pixel font size.

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