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Fork of 3D Scatter Plot

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Ppavan0828
Last edited Jul 7, 2022
Created on Jul 7, 2022

This example renders a 3D scatter plot of the Iris dataset, comparing flower measurements across two traces: sepal dimensions against petal length in one trace, and sepal dimensions against petal width in another. The visualization uses Plotly’s `scatter3d` type via `Plotly.newPlot` to draw markers with customizable size, opacity, and line styling into a `div`. Data loading relies on D3’s `d3.csv` to fetch the dataset, while `unpack` extracts specific columns for each axis, presenting the multidimensional relationships in an interactive three-dimensional space.

AI-generated description

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

See also React Starter.

MIT Licensed

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Fork of Fork of 3D Scatter Plot with Iris Dataset

This example visualizes the Iris dataset as a 3D scatter plot, mapping sepal length, sepal width, and petal length for one trace, and petal width for another. The visualization uses Plotly’s `scatter3d` and `scatter2d` trace types, rendered inside a `myDiv` element via `Plotly.newPlot`. Data is loaded asynchronously from a GitHub-hosted CSV file using `d3.csv`, while marker styles, colors, and opacity are configured through Plotly’s marker properties. The layout removes all margins to maximize the plot area.

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This fork of a 3D scatter plot visualizes the Iris dataset, displaying two series of markers that map sepal length, sepal width, and either petal length or petal width. The visualization uses Plotly’s `Plotly.newPlot` to render a `scatter3d` chart inside a `div`, with data loaded via `d3.csv`. Each trace configures marker size, opacity, and line styling, while the layout removes all margins to focus on the plotted points.

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