Tree vs Array vs Linked List When Hierarchy Matters
📖 Scenario: Imagine you are organizing a company's employee structure. Each employee has a name and may have subordinates reporting to them. You want to represent this hierarchy in different ways to understand how data structures like arrays, linked lists, and trees can store hierarchical data.
🎯 Goal: You will create three different data structures in Go to represent the same employee hierarchy: an array, a linked list, and a tree. You will then print the structure to see how hierarchy is maintained or lost in each case.
📋 What You'll Learn
Create an array of employee names representing a flat list of employees.
Create a singly linked list of employee names representing a chain of command.
Create a tree structure where each employee node can have multiple subordinates.
Print each data structure to show how hierarchy is represented.
💡 Why This Matters
🌍 Real World
Hierarchical data structures like trees are used in organizations, file systems, and menus where relationships matter.
💼 Career
Understanding how to represent and traverse hierarchical data is essential for software developers working with complex data models.
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