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RRohithReddy-thoughts
Last edited Mar 12, 2022
Created on Mar 12, 2022

This example presents a three-dimensional scatter plot of the Iris dataset, mapping sepal length, sepal width, and petal length onto the x, y, and z axes. The visualization is built with Plotly.js, which renders the 3D markers, while D3.js is used to load and parse the CSV data from a GitHub gist. The layout configures colored axis backgrounds, gridlines, and zero lines, and the chart is drawn into a designated div using the `Plotly.newPlot` method.

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

MIT Licensed

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This interactive 3D scatter plot visualizes the Iris dataset, displaying sepal length, sepal width, and petal length along the three axes. The visualization is built with Plotly.js, using its `scatter3d` trace type to render markers with a green outline. Data is loaded asynchronously via D3's `d3.csv` function, which parses rows from a remote CSV file. Each axis is configured with custom titles and distinct background and grid colors, while the plot's layout margins are minimized to maximize the chart area within its container.

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