Fork of A6_ Transformingdata

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Fork of A6_ Transformingdata

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Last edited Jun 14, 2023

Created on Jun 14, 2023

This example loads the Iris flower dataset from a CSV file and uses D3’s `flatRollup` and `sum` functions to compute the average sepal length for each species, displaying the result as JSON text. The visualization shows the transformed summary data in a `<pre>` element, demonstrating how to fetch, parse with `csvParse`, and aggregate data using D3 v7 within a VizHub project. It also illustrates ES6 module imports and state management through a custom `setState` pattern.

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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This example displays a text-based summary of the Iris dataset, showing the average sepal length for each of the three species. Using D3 v7’s `flatRollup` and `sum` functions, it computes the mean values and renders them as JSON in a `<pre>` element. The data is loaded asynchronously via `fetch` and parsed with `csvParse`, with numeric fields coerced to numbers before aggregation. The visualization updates through a state management pattern where `setState` triggers a re-render.

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