{"version":"1.0","type":"rich","title":"Vega-Lite API Template","description":"This example demonstrates a scatter plot of automobile data from the UCI Machine Learning Repository, showing relationships between weight, horsepower, miles per gallon, and country of origin. It uses the Vega-Lite API to declaratively encode these quantitative and categorical fields with circular marks, including tooltips for car names. The code integrates Vega, Vega-Lite, Vega-Lite API, and Vega-Tooltip libraries alongside D3 for CSV data loading, with custom configuration for axis styling and responsive sizing.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/f5a415eddf194770b9f5765ef9398074?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}