{"version":"1.0","type":"rich","title":"Transforming Data","description":"This example loads the classic Iris dataset from a CSV file and computes the average sepal length for each species. The visualization displays this calculated result as formatted JSON text in a `<pre>` element, demonstrating a simple data-transformation pipeline from raw tabular data to a summary table. The code uses D3 v7 functions including `csvParse` for data loading, `flatRollup` and `sum` for aggregation, and `select` for DOM updates. It also showcases ES6 module imports and a state-management pattern for asynchronous data fetching.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/30e5bf410fa84338853eec173d7af383?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}