{"version":"1.0","type":"rich","title":"Outlier Visualization 1","description":"This visualization uses a scatter plot matrix to reveal outliers in the Auto MPG dataset from the UCI Machine Learning Repository. It pairs a full-size scatter plot of two specific attributes with a 4×4 grid of smaller scatter plots, each comparing different attribute pairs, to expose unusual data points across multiple dimensions. The implementation leverages the vega-lite-api, building the charts via `vl.markCircle` and encoding fields with `fieldQ` and `repeat`, while customizing axis styles through `config` objects. The code fetches data as CSV using `d3.csv` and renders the main chart and navigator grid as SVGs within the browser.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/d47c8828ea154570971ad5369278a838?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}