Data Structures Comparison Table

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Data Structure Access Search Insertion Deletion Notes / Use Cases
Array 🟢 O(1) šŸ”“ O(n) šŸ”“ O(n) šŸ”“ O(n) Fast random access, fixed size
Linked List šŸ”“ O(n) šŸ”“ O(n) 🟢 O(1) (at head) 🟢 O(1) (at head) Dynamic size, efficient insert/delete, slow search
Stack šŸ”“ O(n) šŸ”“ O(n) 🟢 O(1) 🟢 O(1) LIFO, recursion, undo, parsing
Queue šŸ”“ O(n) šŸ”“ O(n) 🟢 O(1) 🟢 O(1) FIFO, scheduling, buffering
Hash Table / HashMap ⚪ N/A 🟢 O(1) avg, šŸ”“ O(n) worst 🟢 O(1) avg, šŸ”“ O(n) worst 🟢 O(1) avg, šŸ”“ O(n) worst Key-value lookup, depends on hash
Binary Search Tree (BST) 🟔 O(log n) 🟔 O(log n) 🟔 O(log n) 🟔 O(log n) Worst case šŸ”“ O(n) if unbalanced
AVL Tree (Balanced BST) 🟔 O(log n) 🟔 O(log n) 🟔 O(log n) 🟔 O(log n) Always balanced āœ…
Heap šŸ”“ O(n) šŸ”“ O(n) 🟔 O(log n) 🟔 O(log n) Priority queues, min/max retrieval
Graph (Adj. List) 🟔 O(V) 🟔 O(V+E) 🟢 O(1) 🟔 O(V+E) Best for sparse graphs
Graph (Adj. Matrix) 🟢 O(1) 🟔 O(V) 🟢 O(1) šŸ”“ O(V²) Best for dense graphs

šŸŽØ Legend:

  • 🟢 Excellent (Fast)

  • 🟔 Moderate (Logarithmic / Linear on V)

  • šŸ”“ Slow (Linear / Quadratic)

  • ⚪ Not Applicable

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