# What Is Data Structure Its Types?

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Heather Bennett

What Is Data Structure & Its Types?

A data structure is a way of organizing and storing data in a computer so that it can be accessed and used efficiently. It provides the means to manage large amounts of information, perform operations on it, and represent complex relationships between different pieces of data.

## Types of Data Structures

Data structures can be broadly categorized into two main types:

### 1. Primitive Data Structures

Primitive data structures are the basic building blocks that are directly supported by most programming languages. They include:

• Integer: Used to store whole numbers without fractional parts.
• Floating-point: Used to store real numbers with decimal points.
• Character: Used to store individual characters such as letters or symbols.
• Boolean: Used to store either true or false values.

### 2. Composite Data Structures

Composite data structures, also known as non-primitive data structures, are made up of multiple primitive data types and allow us to organize and represent complex relationships between entities. Some commonly used composite data structures include:

• Arrays: A collection of elements of the same type stored in contiguous memory locations.
• Linked Lists: A linear collection of elements called nodes, where each node contains a reference to the next node in the list.
• Stacks: A last-in-first-out (LIFO) structure that allows adding and removing elements only from the top.
• Queues: A first-in-first-out (FIFO) structure that allows adding elements at the rear and removing elements from the front.
• Trees: A hierarchical structure with a set of connected nodes, where each node can have zero or more child nodes.
• Graphs: A collection of nodes connected by edges, representing relationships between entities.

Data structures play a crucial role in computer science and programming. By choosing the appropriate data structure for a specific problem, you can optimize operations such as searching, sorting, and inserting data. Understanding different types of data structures allows developers to design efficient algorithms and build robust applications.

In conclusion, data structures provide the foundation for organizing and managing data effectively. Whether it’s a simple integer or a complex network of interconnected entities, choosing the right data structure is essential for efficient computation and problem-solving in various domains of computer science.