Tree vs Array vs Linked List When Hierarchy Matters
📖 Scenario: Imagine you are organizing a company's employee structure. Each employee has a manager, except the CEO. You want to represent this hierarchy in different ways to understand how data structures handle parent-child relationships.
🎯 Goal: You will create three data structures: an array, a linked list, and a tree to represent the employee hierarchy. Then, you will print the hierarchy from the tree to see how it naturally shows parent-child relationships.
📋 What You'll Learn
Create an array of employee names in order of their IDs
Create a linked list where each node contains an employee name and a pointer to the next employee
Create a tree structure where each node contains an employee name and pointers to their direct reports
Print the tree hierarchy showing each employee and their direct reports
💡 Why This Matters
🌍 Real World
Hierarchical data like company structures, file systems, and organization charts are best represented with trees to show parent-child relationships clearly.
💼 Career
Understanding how to choose and implement data structures for hierarchical data is essential for software developers working on databases, UI components, and system design.
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