{"version":"1.0","type":"rich","title":"ICE-5","description":"This example, titled ICE-5, demonstrates a basic web page for loading and parsing CSV data using D3.js. The page displays a summary of the parsed Netflix credits dataset, showing the data size in kilobytes, the number of rows, and the number of columns. The visualization is a simple text-based report presented in a `<pre>` element, with a static image of an SVG included for visual interest. The code uses the D3.js `d3.csv` API to fetch and parse the remote CSV file, and `d3.csvFormat` to calculate its size, while styling is handled with custom CSS.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/e95d628ed4534d44a8714405d1a33b89?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}