{"version":"1.0","type":"rich","title":"Outlier Visualization 2E 2","description":"This visualization uses the Auto MPG dataset to explore outliers across 20 numeric attributes through a large scatter plot matrix, with each cell showing the relationship between two attributes. Users can brush to select a region, which highlights points identified as outliers in orange while dimming others to light gray. Built with Vega-Lite API and D3 v7, it repeats the same circle mark across rows and columns, applies a selection interval for brushing, and includes pan/zoom functionality via the panzoom library.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/dd9d0ef2a474480691233b279a7d5434?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}