This example visualizes automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, plotting each car’s country of origin on the x-axis and horsepower on the y-axis as translucent circles. The visualization is built with the Vega-Lite API, using `vl.markCircle` and `vl.encode` to define the marks and channels, while `d3.csv` loads the remote CSV data. The code leverages vega, vega-lite, and vega-tooltip libraries for rendering and interactive tooltips, with a custom config adjusting axis styles and font sizes for readability.