E8-Fork of D3 Scatter Plot

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E8-Fork of D3 Scatter Plot

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Last edited Jun 27, 2024

Created on Jun 27, 2024

This example visualizes the Iris Dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. It uses D3 v6 to load CSV data, create linear scales from the data extent, and render circles with SVG. Axes are generated using `axisLeft` and `axisBottom`, with a margin layout and a fixed point radius. The visualization fills the entire browser window, with tick labels enlarged to 24 pixels for readability.

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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 as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. It uses D3 v6 to load CSV data via `d3.csv`, scales the data with `scaleLinear` and `extent`, and renders SVG circles for each observation. Axes are generated with `axisLeft` and `axisBottom`, while the chart fills the browser window using `window.innerWidth` and `window.innerHeight`. The plot clearly shows clusters of iris species based on their measurements.

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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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