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COMPUTER SCIENCE

Binary search tree insertion example.

A binary search tree stores ordered values in a branching structure. At every node, values in the left subtree are smaller and values in the right subtree are larger. This drawing makes that rule visible for a short insertion sequence, which is useful when learning how a tree changes one value at a time. Use it to check a homework solution, explain a search path or prepare a traversal exercise. For duplicate values, define a consistent policy before drawing the tree, such as storing a count or sending equal values to one side.

UPDATED 2026-09-24
TYPEOrgchart
EXAMPLEBinary search tree insertion example.
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CASE ANALYSIS

Scenario

data-structures

Key decisions

  • Root value: Start the tree at 50.
  • Ordering rule: Put smaller values left and larger values right.
  • Insertion order: Keep the given sequence when placing nodes.

When to reuse this

Use this example when teaching or checking basic BST insertion.

FAQ

Frequently asked questions

What makes this a binary search tree?01
Each node has values smaller on the left and larger on the right.
Why does insertion order matter?02
The same values can make different valid tree shapes in different orders.
Can a BST have duplicates?03
It can if the implementation defines where equal values go or stores a count.
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