This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, letting users explore relationships between car attributes such as horsepower, weight, and acceleration. Two dropdown menus, implemented with a custom D3 module, dynamically select which columns map to the x- and y-axes, triggering animated transitions of the plotted circles. The visualization uses D3 scales, axes, and transitions to update the chart smoothly, with an initial static Plotly chart embedded as a fallback.