Transforming Data

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Transforming Data

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Last edited Jun 18, 2023

Created on Jun 18, 2023

This example demonstrates how to transform the classic Iris dataset by computing the average sepal length for each species using `d3.flatRollup` and `d3.sum`, then displaying the aggregated results as a JSON summary in a `<pre>` element. The visualization loads CSV data asynchronously via `fetch`, parses it with `d3.csvParse`, and converts numeric fields before processing. Built with D3 v7 and ES6 modules, it showcases lazy state management where data is fetched and transformed only once on initial render.

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An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

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