{"version":"1.0","type":"rich","title":"Data Visualization ICE5","description":"This example presents a dashboard of static vector illustrations—a house and a human figure—rendered as inline SVG paths. The page also reports basic statistics about a cricket dataset loaded from a GitHub gist, including its size in kilobytes, row count, and column count. The visualization uses the D3.js library to fetch and parse the CSV data with `d3.csv`, while the SVG artwork is embedded directly in the HTML. The interface is built with plain HTML and CSS, and the figure images are referenced as separate SVG files.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/6b774298e9cc46a186a93fb6861d4105?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}