{"version":"1.0","type":"rich","title":"Fork of ICE-5: CSV Data with D3.js","description":"This example demonstrates how to load and parse a CSV dataset using D3.js. The visualization displays a summary of the data, including its size in kilobytes, the number of rows, and the number of columns, within a styled HTML page. The code fetches a remote CSV file using the `d3.csv` method and formats the parsed data with `d3.csvFormat` to calculate the file size. The result is rendered as text into a `<pre>` element, alongside a static SVG image of a panda. The page styling is handled with basic CSS.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/744bffc7d2534f80a2f869fbde658569?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}