This interactive scatter plot visualizes automobile performance data from the UCI Machine Learning Repository’s Auto MPG dataset, mapping horsepower against displacement while encoding origin by color and mpg by point size. Built with the Vega-Lite API, the visualization uses `vl.markCircle` and `vl.encode` to define visual channels, with `d3.csv` loading the remote dataset. The chart dynamically fits its container, applies custom axis and label styling via the `config` object, and integrates Vega Tooltip for hover interactions.