This example visualizes the Auto MPG dataset from the UCI Machine Learning Repository, showing the relationship between miles per gallon and horsepower, with additional encodings for origin (color) and weight (size). The plot uses a scatter plot with semi-transparent circles, presenting data as points with tooltips displaying car names. The visualization is built using the vega-lite-api library, which wraps Vega-Lite specifications, with the `vl.markCircle` method configuring the marks and `vl.x()`/`vl.y()` for quantitative scales. Data is loaded asynchronously via `d3.csv`, and the final render uses Vega’s SVG output with a custom tooltip handler.