{"version":"1.0","type":"rich","title":"ICE-5 Muk","description":"This example demonstrates loading and parsing a CSV dataset with D3.js, displaying a preview of the first ten rows in a styled HTML table. It fetches the \"datascience salaries\" CSV from a GitHub gist, uses `d3.csvParse` to convert the text into an array of objects, and reports the file size, row count, and column count. The code uses `fetch` for asynchronous data retrieval, `d3.select` to manipulate the DOM, and dynamically builds the table header and body using `data.columns` and nested `forEach` loops.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/66759924bf0f496f97ee9bda97ee3f7a?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}