{"version":"1.0","type":"rich","title":"Dataset 2 Graduate Admission","description":"This example fetches a CSV file of graduate admission data and displays a plain-text summary of its size and structure, including file size in kilobytes, row count, and column count. The visualization is minimal, serving as a data-loading diagnostic rather than a graphical chart. It uses the `d3.csvParse` method from D3 v5 to parse the remote CSV, and the `fetch` API to retrieve the text from a GitHub Gist URL. The parsed data’s `length` and `columns.length` properties are accessed to generate the summary text, which is rendered inside a `<pre>` element.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/37dca3a428f042e09b73c3aee68580a9?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}