{"version":"1.0","type":"rich","title":"Fork of loading and parsing data","description":"This example demonstrates how to load and parse CSV data from a remote URL, then display basic statistics about the dataset in a large-text message container. It fetches a CSS-named-color CSV file from a GitHub gist, parses it into an array of objects using `d3.csvParse`, and reports the file size in kilobytes, row count, and column count. The asynchronous loading uses the Fetch API with `async`/`await`, while D3 v7 handles the CSV parsing. The result is a minimal proof-of-concept for data ingestion and summary reporting.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/0ca62aeee83f462ebb2877a14cf2a304?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}