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CSV Data Loading and Parsing

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223100098@lums.edu.pk
Last edited Oct 9, 2025
Created on Oct 9, 2025

This example demonstrates how to load and parse a CSV file in a React application using D3.js. It displays the Iris dataset as formatted JSON text in a `<pre>` element, showing the parsed data structure. The code uses D3's `csv()` method within a `useEffect` hook to fetch and parse `data.csv`, then stores the result in React state. A separate effect triggers a visualization function that renders the data using D3's `select()` and text manipulation. The Iris dataset, from UCI Machine Learning Repository, contains measurements of sepal and petal dimensions for three flower species.

AI-generated description

This is the "Iris" dataset. Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and visualizations (for example, Scatter Plot). Each row of the table represents an iris flower, including its species and dimensions of its botanical parts, sepal and petal, in centimeters.

The HTML page provides the basic code required to load the data and display it on the page (as JSON) using D3.js.

For a more up to date code example with React & D3, see (VizHub: Stylized Scatter Plot)[https://vizhub.com/curran/3d631093c2334030a6b27fa979bb4a0d?edit=files&file=index.js].

MIT Licensed

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