This example uses the Vega-Lite API to create an interactive scatter plot of automobile data from the UCI Machine Learning Repository’s Auto MPG dataset. The visualization encodes vehicle weight on the x-axis, horsepower on the y-axis, origin as color, and miles per gallon as point size, with tooltips showing car names. Built with `vl.markCircle`, `vl.x().fieldQ()`, and `vl.y().fieldQ()`, the chart renders via Vega and Vega-Lite, while d3.csv loads the data. Custom styling in `config.js` and a dark theme improve readability for presentation.