This interactive scatter plot visualizes automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, letting viewers explore relationships between numerical attributes. Users select which columns map to the X and Y axes from dropdown menus. The visualization is built with D3 v5, using `scaleLinear`, `axisLeft`, `axisBottom`, and `transition().duration()` to animate circles to their new positions when axes change. Data is loaded via `csv`, and the implementation uses an SVG rendering approach with reusable menu and scatter plot components.