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Transforming Data

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Mmn0658
Last edited Jun 26, 2023
Created on Jun 26, 2023
Forked from Hello VizHub

This example demonstrates how to load, transform, and summarize the classic Iris dataset. It fetches a CSV file, parses it with `d3.csvParse`, converts numeric fields, and then uses `d3.flatRollup` and `d3.sum` to compute the average sepal length for each species. The resulting summary is displayed as a JSON string in a `<pre>` element. The code relies on D3 v7 for data parsing and aggregation, and uses a simple state-management pattern with `setState` to handle asynchronous loading.

AI-generated description

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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