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Array Data Structure Visualizer

STEM Interactive Visual Learning Program at TEC-Bridge AI

Array Setup

Array Operations

Array Visualization

Operation Steps

How to Use

  1. Setup: Enter numbers separated by commas or click "Random" to generate an array
  2. Traverse: Click "Traverse" to visit each element sequentially
  3. Search: Enter a value and click "Search" to find its index position
  4. Insert: Enter index and value, then click "Insert" to add a new element
  5. Delete: Enter index and click "Delete" to remove an element
  6. Observe: Watch elements being processed with color-coded visualization
  7. Reset: Click "Reset" to restore the original array and start over

Colors: Orange = Current Element, Green = Found/Success, Blue = New Element, Red = Deleted

Array Concept

Array is a linear data structure that stores elements of the same data type in contiguous memory locations.

Key Characteristics:

  • Fixed size (in most languages)
  • Elements accessed by index (0-based)
  • Homogeneous data (same type)
  • Random access capability
  • Contiguous memory allocation

Purpose & Applications

Why use Arrays?

  • Fast random access to elements O(1)
  • Memory efficient storage
  • Cache-friendly due to locality
  • Simple implementation
  • Foundation for other data structures

Common Applications:

  • Storing collections of data
  • Implementing other data structures
  • Mathematical computations
  • Image and signal processing
  • Database indexing

Time & Space Complexity

Operation Time Complexity Space Complexity
Access O(1) O(1)
Search O(n) O(1)
Insertion O(n) O(1)
Deletion O(n) O(1)
Traversal O(n) O(1)

Strengths & Limitations

Strengths:

  • Constant time access O(1)
  • Memory efficient
  • Cache performance
  • Simple to understand
  • Supports random access

Limitations:

  • Fixed size (static arrays)
  • Expensive insertion/deletion
  • Memory waste if not full
  • No automatic resizing
  • Homogeneous data only

Array Code Implementation

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