This example visualizes eye-tracking data across multiple city images, plotting fixation points on a scatterplot with a timeline slider for temporal exploration. Users can select stimuli via a dropdown menu and apply K-means clustering with adjustable cluster counts and iteration limits. The visualization uses D3 v5 for SVG rendering and animation, with React for structure, dynamically scaling axes to each image’s resolution from a CSV file.