**Which Are the Basic Terms of Data Structure?**

Data structure is a fundamental concept in computer science that deals with organizing and storing data efficiently. To better understand this concept, it’s important to familiarize yourself with some basic terms. In this article, we will explore these terms and their significance in data structure.

## 1. Data

Data refers to any piece of information that can be stored and manipulated by a computer program.

It can be numbers, characters, or even more complex structures like images or audio files. In the context of data structure, we focus on how data is organized and accessed.

## 2. Data Type

Data type determines the nature of the data being stored.

It specifies the range of values that can be assigned to a variable and the operations that can be performed on it. Common data types include integers, floating-point numbers, characters, strings, booleans, etc.

## 3. Variable

A variable is a named storage location that holds a value of a particular data type.

Variables are used to store and manipulate data during program execution. They provide a way to refer to specific memory locations where values are stored.

## 4. Array

An array is a collection of elements of the same data type arranged in contiguous memory locations.

It allows efficient storage and retrieval of multiple values using an index or subscript notation. Arrays have fixed sizes but provide fast access to individual elements.

## 5. Linked List

A linked list is a dynamic data structure consisting of nodes connected through pointers or references.

Each node contains both data and a reference to the next node in the list. Linked lists allow for efficient insertion and deletion operations but have slower access times compared to arrays.

## 6. Stack

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

It maintains a collection of elements where the last element added is the first one to be removed. Stacks are commonly used in programming for tasks requiring temporary storage or tracking of function calls.

## 7. Queue

A queue is a data structure that follows the First-In-First-Out (FIFO) principle.

It represents a collection of elements where the first element added is the first one to be removed. Queues are often used in scenarios such as scheduling processes, handling requests, or implementing breadth-first search algorithms.

## 8. Tree

A tree is a hierarchical data structure consisting of nodes connected by edges.

It starts with a root node and branches out into child nodes, forming a tree-like structure. Trees are widely used for representing hierarchical relationships and searching algorithms like binary search trees.

## 9. Graph

A graph is a non-linear data structure consisting of nodes (vertices) connected by edges.

Unlike trees, graphs can have cycles and multiple connections between nodes. Graphs are commonly used to represent networks, social connections, or solve complex optimization problems.

### In Conclusion

These are just some of the basic terms you should be familiar with when studying data structures. Understanding these terms will lay a strong foundation for delving deeper into more advanced concepts in computer science.

Remember to use appropriate data structures based on your specific requirements and optimize your code for efficient storage and retrieval operations.