{"version":"1.0","type":"rich","title":"Fork of data into components 1122","description":"This example presents a coordinated multi-view of the classic Iris dataset, allowing a user to highlight a quantitative and a categorical attribute via dropdown menus. The system dynamically renders one of three chart types: a scatter plot for two quantitative dimensions, a histogram for a single numerical dimension, and a dot plot overlaid with boxplots for a single quantitative variable grouped by a categorical one. Written in React with SVG for rendering, the visualization leverages D3 modules such as `scaleLinear`, `scaleBand`, `scaleOrdinal`, `bin`, and `quantile` to compute positions, bin data, and calculate statistical summaries. A \"Activate Lasers\" button toggles the visibility of the boxplot elements, demonstrating interactive control over chart layers.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/3eb508c8ab164582900c08f3a57cd6a7?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}