This visualization shows how to find floor and ceil values for a target in a Binary Search Tree (BST). Starting at the root, we compare the target with the current node's value. If the current node's value equals the target, both floor and ceil are set to this value and the search stops. If the current node's value is less than the target, we update floor to this value and move to the right child to find a closer floor. If the current node's value is greater than the target, we update ceil to this value and move to the left child to find a closer ceil. This process continues until we find an exact match or reach a leaf node. The execution table traces these steps with the current node, floor, ceil, and pointer moves. The variable tracker shows how floor and ceil update over time. Key moments clarify why floor updates only on less than target and ceil updates only on greater than target. The quiz tests understanding of these updates and pointer moves.