Activity-6

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✓ Published0🌍 Public

Last edited Jun 14, 2023

Created on Jun 14, 2023

This example demonstrates how to load and parse a CSV dataset (the classic Iris flower measurements) into a D3.js visualization. It showcases a text-based output that reports the average sepal length per species, computed using the `flatRollup` and `sum` functions from the D3 API. The visualization also highlights the process of fetching data with `fetch`, parsing it with `csvParse`, and dynamically updating the display through a simple state management 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 loads the classic Iris flower dataset from a CSV file and computes the average sepal length for each of the three species using D3’s `flatRollup` and `sum` functions. The results are displayed as a formatted JSON summary inside a `pre` element in the browser. Built with D3 v7, the visualization demonstrates asynchronous data fetching with `fetch` and `csvParse`, as well as the use of local ES6 modules for organizing the code.

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