{"version":"1.0","type":"rich","title":"Senate Voting Data","description":"This example presents a text-based summary of the Senate Voting Data CSV file. It uses D3 v5 to load and parse the remote CSV via `d3.csv`, then displays the file size in kilobytes, the total row count, and the column count inside an HTML `<pre>` element. The code also demonstrates alternative loading methods—using `fetch` with async/await and `d3.csvParse`, plus a commented-out \"pyramid of doom\" fetch chain—though only the primary `d3.csv` path is active. The visualization is purely informational, showing dataset dimensions rather than graphical plots.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/83a82467dcfb4014b0b272db9197512f?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}