Data Preparation

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Data Preparation

✓ Published0🌍 Public

Last edited May 21, 2021

Created on May 21, 2021

This example demonstrates the essential first step of loading and parsing a comma-separated values (CSV) file for use in a D3.js visualization. It fetches a remote dataset of CSS named colors from a GitHub gist using the native `fetch` API, then applies `d3.csvParse` to convert the raw text into an array of JavaScript objects. The parsed result is logged to the browser console, showing how raw CSV data becomes structured, queryable data that downstream D3 code can bind to visual elements.

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A bare minimum HTML page for data parsing.

MIT Licensed

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