{"version":"1.0","type":"rich","title":"Fork of Loading and Parsing CSV Data","description":"This example demonstrates how to load and parse CSV data using D3 version 5, displaying summary statistics about the CSS Named Colors dataset from a GitHub gist. The visualization shows three key metrics: the file size in kilobytes, the number of rows, and the number of columns, rendered in large text. It utilizes D3’s `d3.csv` method with Promise-based asynchronous loading, alongside commented-out alternatives using the Fetch API with `async`/`await` and `d3.csvParse`. The code also includes a commented \"pyramid of doom\" example comparing older nested callback patterns with modern approaches.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/63cbe354ad4244c4b007b7110b2e48b8?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}