{"version":"1.0","type":"rich","title":"ICE 5 Oct","description":"This example demonstrates a workflow for loading, parsing, and previewing tabular data from a remote CSV file. It displays a summary of the dataset—approximate size in kilobytes, row count, and column count—followed by a styled HTML table showing the first five rows. The code uses D3 v7’s `d3.csv` method to fetch and parse the data, then leverages the `d3.select` and `.join` APIs to construct the table dynamically. The table features a sticky header, zebra striping, and hover effects, all defined in the accompanying CSS.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"","width":960,"height":500,"cache_age":3600}