**What Are the Two Classification of Data Structure?**

Data structures are essential components in computer science and programming. They play a crucial role in organizing and storing data efficiently.

To understand data structures better, it’s important to know about their classifications. Data structures can be broadly classified into two categories:

## 1. Primitive Data Structures

Primitive data structures are the basic building blocks of any programming language. These data structures are predefined by the programming language itself and are usually simple and straightforward to use.

### a) Integer

An integer is a primitive data structure used to store whole numbers without decimal places. It can be positive, negative, or zero.

### b) Float

A float is a primitive data structure used to store numbers with decimal places. It is commonly used for representing real numbers.

### c) Character

A character is a primitive data structure that stores a single character, such as a letter, digit, or special symbol.

### d) Boolean

A boolean is a primitive data structure that can have two values: true or false. It is commonly used for logical operations and conditions.

## 2. Non-Primitive Data Structures

Non-primitive data structures are more complex than primitive ones as they are created by combining multiple primitive data types or other non-primitive data structures.

### a) Arrays

An array is a non-primitive data structure that stores a fixed-size sequential collection of elements of the same type. Elements in an array can be accessed using their index position.

### b) Linked Lists

A linked list is a non-primitive data structure consisting of a sequence of nodes, where each node contains both data and a reference to the next node in the sequence.

### c) Stacks

A stack is a non-primitive data structure that follows the Last-In-First-Out (LIFO) principle.

It allows operations such as push (adding an element to the top) and pop (removing an element from the top).

### d) Queues

A queue is a non-primitive data structure that follows the First-In-First-Out (FIFO) principle. Elements are added at one end (rear) and removed from the other end (front).

### e) Trees

A tree is a non-primitive data structure that represents a hierarchical structure. It consists of nodes connected by edges, with one node being designated as the root.

### f) Graphs

A graph is a non-primitive data structure consisting of vertices or nodes connected by edges. It is used to represent relationships between objects or entities.

Understanding these two classifications of data structures is crucial for choosing the right data structure for specific programming tasks. By utilizing these structures effectively, you can optimize memory usage, improve performance, and enhance your overall programming skills.