This example displays a scatter plot of auto-mpg data with vehicle origin mapped to color, weight to point size, and tooltips revealing model names. It uses the vega-lite-api to compose marks and encodings, with a custom config for axis styling. Data loads via d3.csv from the UCI Machine Learning Repository, while vega-tooltip handles interactions. Rendering focuses on full-window SVG output.