This example renders a scatter plot of the Auto MPG dataset from the UCI Machine Learning Repository, visualizing each car as a circle positioned by its miles per gallon and horsepower, colored by its region of origin, and sized by its weight. The visualization is constructed using the Vega-Lite API, with the `vl` object building a mark-circle encoding that maps data fields to x, y, color, and size channels. The underlying code registers Vega and Vega-Lite, fetches the data via d3’s `csv` function, and uses a custom config to style axis labels and titles.