{"version":"1.0","type":"rich","title":"ICE-5: Loading and Parsing CSV Data with D3.js","description":"This example demonstrates how to load and parse a CSV dataset of football team rankings using D3.js version 7.3.0 within an HTML page. It fetches the remote CSV file via the `d3.csv` API, which returns a promise, and then displays computed dataset statistics—size in kilobytes, row count, and column count—in a styled `<pre>` element. The visualization also incorporates a static snow SVG image and uses custom CSS for header and message formatting. The code highlights modern asynchronous data loading and parsing techniques with D3's CSV utilities.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/1991a6867a5840d5b0b7c28922cf2e9c?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}