Transforming Data

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Transforming Data

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Last edited Jul 17, 2023

Created on Jul 17, 2023

This example demonstrates how to transform the classic Iris dataset by loading a CSV file and calculating the average sepal length for each species. The visualization displays the resulting summary as a JSON-formatted list of objects, showing the species name alongside its computed average. The code uses D3 v7 APIs including `csvParse` to parse the data, `flatRollup` to group and aggregate values, and `sum` to calculate totals. It also showcases ES6 module imports, a fetch-based data-loading pattern, and a state management system for handling asynchronous data retrieval.

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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