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Fork of D3 Scatter Plot

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RRichard
Last edited May 13, 2021
Created on May 13, 2021
Forked from D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. Each flower is rendered as a fixed-radius circle, with axes labeled via `d3.axisLeft` and `d3.axisBottom`. The code loads CSV data using `d3.csv`, parses numeric values, and applies `d3.scaleLinear` with `d3.extent` to set domains. SVG circles are appended using `selectAll().data().join()`, while margins and window dimensions position the plot.

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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 D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v6 to load CSV data, apply linear scales via `d3.scaleLinear`, and render circles with SVG. The axes are generated using `d3.axisLeft` and `d3.axisBottom`, with margins adjusting the plot area to fill the viewport.

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This example visualizes the Iris dataset with a D3 scatter plot using SVG circles, mapping petal length on the x-axis and sepal length on the y-axis. It loads the CSV data via `d3.csv`, parses numeric fields, and derives scales with `scaleLinear` from the data extent, positioning each point based on those scales. Axes are rendered using `axisBottom` and `axisLeft`, while the plot fills the browser window. The code leverages d3.v6 destructured functions like `select` and `csv` to fetch and draw the points.

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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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