{"version":"1.0","type":"rich","title":"Fork of Fork of ICE-5: CSV Data with D3.js","description":"This example demonstrates loading and parsing a CSV dataset from a remote URL using D3.js v7. The page displays a header, a message area, and an embedded SVG image of a panda. A script fetches the CSV via `d3.csv`, then computes and displays the dataset’s size in kilobytes, row count, and column count within a styled `<pre>` element. The code also includes a comment referencing the `Body.text` API, though it is not used in the implementation. The approach uses plain HTML, CSS, and vanilla JavaScript with D3’s CSV utilities.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/58900dee05904db688731425ac1e93d1?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}