Transforming Data

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Transforming Data

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SSwapna1915

Last edited Jun 14, 2023

Created on Jun 14, 2023

This example demonstrates the power of D3’s data transformation APIs by loading the classic Iris dataset from a local CSV. Using `d3.flatRollup` and `d3.sum`, it groups the records by species to compute the average sepal length, then renders the aggregated results as JSON text in a `<pre>` element. The visualization also highlights asynchronous data loading with `fetch` and `d3.csvParse`, alongside ES6 module imports. The output is a clear, tabular summary of the transformed data, showcasing D3 v7’s streamlining of grouping and aggregation workflows.

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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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