This example demonstrates point clustering on a map using CartoDB, showing how thousands of tornado records can be aggregated into hierarchical groups of different sizes. The visualization uses an SQL query with ST_SnapToGrid to cluster points at multiple scales, dynamically adjusting the cluster radius based on zoom level and a slider control. CartoCSS styles differentiate the cluster sizes, and clicking a point reveals the individual records it contains. The map is embedded with Google Maps and uses CartoDB.js, with an interactive side panel for cluster-size adjustments.