{"version":"1.0","type":"rich","title":"Fork of Loading and Parsing CSV Data_answer","description":"This example displays basic statistics about a CSV dataset of CSS named colors, showing the file size in kilobytes, row count, and column count. The code fetches the data from a GitHub gist URL using the Fetch API with async/await syntax, then parses it with `d3.csvParse` from D3 v5. The computed values are rendered as text inside a `<pre>` element with large font styling. While the implementation includes commented-out alternatives using `d3.csv` and a promise-based fetch pattern, the active code demonstrates the modern async/await approach for loading and parsing tabular data.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/a0dad483eec34a0baf4d6731a4081367?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}