{"version":"1.0","type":"rich","title":"Lifestyle_harshithadontha","description":"This example demonstrates loading and parsing a CSV file with D3 v7, displaying a preview of the first five rows in a styled HTML table. It uses `d3.csv` to fetch remote data from a GitHub gist, then computes the approximate file size, row count, and column count, which appear in a summary message. The table is built dynamically with `d3.select`, `append`, and `join` to create headers and cells, while CSS provides zebra striping, sticky headers, and hover effects. The page also includes a catch block that displays an error message if data loading fails.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/ddb34d8daf7b48f999c3997446a6fac5?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}