This example visualizes a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, exploring the relationship between miles per gallon, horsepower, and weight. Points are colored by origin and sized by weight, with hover tooltips displaying car names. Built with the Vega-Lite API, the code uses `vl.markCircle` and `vl.encode` to define the visualization, while `vl.x().fieldQ('mpg')` and `vl.y().fieldQ('horsepower')` map quantitative fields. The data loads via `d3.csv`, and the chart renders through the Vega-Lite API's `render()` method.