Interactive Binary Tree Tutorial
Learn binary trees through visualization and practice
Interactive Binary Tree Visualization
Tree Traversal
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Operation Log
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How Binary Trees Work
A binary tree is a hierarchical data structure where each node has at most two children: a left child and a right child. This visualization implements a Binary Search Tree (BST), which maintains the property that for any node:
- All values in the left subtree are less than the node's value
- All values in the right subtree are greater than the node's value
Operations Explained
- Insert: Adds a new value to the tree while maintaining the BST property
- Search: Finds a value in the tree by comparing it with nodes and traversing left or right
- Delete: Removes a value from the tree while preserving the BST structure
Traversal Methods
- Inorder: Left subtree → Root → Right subtree (gives sorted order in a BST)
- Preorder: Root → Left subtree → Right subtree (useful for creating a copy of the tree)
- Postorder: Left subtree → Right subtree → Root (useful for deleting the tree)
- Level Order: Visits nodes level by level, from top to bottom, left to right