{"version":"1.0","type":"rich","title":"htmlq3","description":"This dark-themed visualization displays a preview of the first five rows from a CSV file detailing weekly visits to Dallas-Fort Worth public libraries in 2025. It renders the data as an HTML table within a rounded card container, using D3.js v7 to fetch and parse the remote CSV via the `d3.csv` API. The code leverages D3's selection and join operations (`d3.select`, `.join`) to dynamically generate table headers and cells from the dataset's column names and row values, with alternating row striping for readability.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/1646e6a51757414d90cb2da09d79daf7?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}