{"version":"1.0","type":"rich","title":"Visual Editor Demo","description":"This demo shows how a visual editor could work, using sliders and widgets to tweak config parameters that control a scatter plot of the Iris dataset. The visualization renders sepal length against sepal width, with points colored by species from a configurable color scale. The code uses d3-rosetta’s `unidirectionalDataFlow` and `createStateField` to manage state, along with D3’s `scaleLinear`, `extent`, and `csv` for data loading and scaling. It also listens for `postMessage` events to update the config dynamically.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/d07276c1ae254e02b504a2d701aeb099?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}