{"version":"1.0","type":"rich","title":"Transforming Data","description":"This example demonstrates a data transformation pipeline using the classic Iris dataset. It loads the CSV file containing sepal and petal measurements for three flower species, then uses `d3.csvParse` to parse the data and converts the numeric columns to numbers. The visualization calculates the average sepal length per species using `d3.flatRollup` and `d3.sum`, and displays the resulting summary as JSON text in a `<pre>` element. The code uses D3 v7's selection methods (`select`, `selectAll`, `join`) to manage the output.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/51e00e2dc0754824945bf2ffea0372bd?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}