Transforming Data

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Transforming Data

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Last edited Jun 14, 2023

Created on Jun 14, 2023

This example loads the classic Iris dataset from a CSV file and computes the average sepal length for each species. The visualization displays this calculated result as formatted JSON text in a `<pre>` element, demonstrating a simple data-transformation pipeline from raw tabular data to a summary table. The code uses D3 v7 functions including `csvParse` for data loading, `flatRollup` and `sum` for aggregation, and `select` for DOM updates. It also showcases ES6 module imports and a state-management pattern for asynchronous data fetching.

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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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