{"version":"1.0","type":"rich","title":"Fork of Lifestyle_harshithadontha","description":"This example demonstrates how D3.js can load and display tabular data from a remote CSV file. It shows a preview of the first five rows in a styled, interactive HTML table, along with a summary of the dataset's size (kilobytes, row count, and column count). The code uses `d3.csv` to fetch and parse the data from a GitHub Gist, then dynamically builds the table using the `d3.select`, `append`, and `join` APIs. The table features a sticky header, zebra striping, hover highlighting with an accent bar, and right-aligned numeric columns, all styled via CSS custom properties.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/0b73f6a1e8d4450c846179b5f801af1e?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}