Transforming Data

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Transforming Data

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Last edited Jun 14, 2023

Created on Jun 14, 2023

This example demonstrates transforming the classic Iris dataset by computing the average sepal length for each species. The visualization renders a JSON summary of the aggregated results as text. It loads data from a CSV file using `d3.csvParse` and leverages `d3.flatRollup` with `d3.sum` to calculate the averages. Data loading is managed through a state-based render loop, highlighting VizHub's reusable ES6 module pattern with `import` statements from D3 v7.

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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