{"version":"1.0","type":"rich","title":"Transforming Data","description":"This example demonstrates a data transformation pipeline using D3.js v7. It loads the classic Iris dataset from a CSV file, parses it with D3's `csvParse` function, then computes the average sepal length grouped by species using `flatRollup` and `sum`. The resulting summary is displayed as formatted JSON text in a `<pre>` element. It showcases how D3's functional API can be used for data aggregation and transformation, with the visualization updating asynchronously via a state management pattern and local ES6 module imports.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/165d47e2d2d64adea6db4c2a082e678d?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}