{"version":"1.0","type":"rich","title":"Fork of Loading and Parsing CSV Data","description":"This example demonstrates the fundamental process of loading and parsing CSV data in a web visualization context, displaying a summary message that reports the data size, row count, and column count. The visualization loads CSS Named Colors data from a remote CSV file using D3 v5’s `d3.csv` method, which returns a promise and automatically parses the comma-separated values into an array of objects. The code then calculates the formatted data size in kilobytes via `d3.csvFormat` and reads `data.length` and `data.columns.length` to extract the row and column counts. The message-container element displays the results in a large font, showcasing the integration of D3’s CSV utilities with simple DOM manipulation.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/4f6d3c2739a94900b9eab3241e949e92?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}