{"version":"1.0","type":"rich","title":"Transforming Data","description":"This example demonstrates how to transform the classic Iris dataset by loading a CSV file and calculating the average sepal length for each species. The visualization displays the resulting summary as a JSON-formatted list of objects, showing the species name alongside its computed average. The code uses D3 v7 APIs including `csvParse` to parse the data, `flatRollup` to group and aggregate values, and `sum` to calculate totals. It also showcases ES6 module imports, a fetch-based data-loading pattern, and a state management system for handling asynchronous data retrieval.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/7a33417e12134d1a9cca142c74925da4?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}