{"version":"1.0","type":"rich","title":"ICE5_SUBMISSION_PY","description":"This visualization demonstrates how to load and parse a remote CSV dataset using D3.js v7, displaying basic metadata about the wine dataset from a GitHub gist. The page uses `d3.csv` to fetch the data asynchronously, then calculates and displays the file size in kilobytes, total row count, and number of columns in a text element. The example uses `d3.csvFormat` to measure the data string length and updates the DOM via `document.getElementById`, with page styling applied through an external CSS file and inline HTML styles.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/6eb9a819e20f422b9fe6e99c41050750?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}