Fork of Loading and Parsing CSV Data

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Fork of Loading and Parsing CSV Data

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Last edited Jun 14, 2022

Created on Jun 14, 2022

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This example demonstrates the basic mechanics of loading and parsing CSV data in a web browser, displaying the file size, row count, and column count of the CSS Named Colors dataset from a GitHub gist. The primary implementation uses D3 v5’s `d3.csv` method with a promise chain, while commented-out alternatives show the same task using `fetch` with `async`/`await` and `d3.csvParse`, plus a nested promise “pyramid of doom” pattern. The rendered output is plain text in a large `<pre>` element, with a React-based counterpart provided in `index.js` using the `useEffect` hook to load data asynchronously.

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A program that loads and parses some CSV data: CSS Named Colors.

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This example demonstrates the size and structure of a CSS Named Colors dataset by displaying its file size, row count, and column count as large text. It loads a CSV file from a GitHub gist using the D3.js `d3.csv` method, which returns a promise and parses the data. The code also includes commented-out alternatives that use the Fetch API with async/await and `d3.csvParse`, alongside a nested promise "pyramid of doom" pattern for comparison. Results are rendered into a `<pre>` element.

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