{"version":"1.0","type":"rich","title":"Transforming Data","description":"This example demonstrates how to load, transform, and summarize the classic Iris dataset. It fetches a CSV file, parses it with `d3.csvParse`, converts numeric fields, and then uses `d3.flatRollup` and `d3.sum` to compute the average sepal length for each species. The resulting summary is displayed as a JSON string in a `<pre>` element. The code relies on D3 v7 for data parsing and aggregation, and uses a simple state-management pattern with `setState` to handle asynchronous loading.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/8d7fe15dff074d1fab0986556105164c?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}