What Is Data Structure and Its Types GeeksforGeeks?


Scott Campbell

What Is Data Structure and Its Types GeeksforGeeks?

Data structure is a way of organizing and storing data in a computer so that it can be accessed and used efficiently. It is an essential concept in computer science and is used in various applications such as databases, operating systems, and algorithms.

Types of Data Structures

Data structures can be classified into two main types:

1. Primitive Data Structures

Primitive data structures are the basic building blocks of any programming language. These include:

  • Integer: Represents whole numbers.
  • Float: Represents floating-point numbers with decimal places.
  • Character: Represents individual characters like letters or symbols.
  • Boolean: Represents either true or false values.

2. Composite Data Structures

Composite data structures are complex data structures composed of multiple primitive data types. Some commonly used composite data structures are:

  • Array: A collection of elements of the same type, stored in contiguous memory locations.
  • List: A collection of elements that may not be stored contiguously in memory. Lists can dynamically resize as elements are added or removed.
  • Stack: A Last-In-First-Out (LIFO) data structure where elements are added and removed from the same end.
  • Queue: A First-In-First-Out (FIFO) data structure where elements are added at one end and removed from the other end.
  • Tree: A hierarchical data structure consisting of nodes connected by edges.

    Each node can have multiple child nodes.

  • Graph: A collection of nodes connected by edges. Unlike trees, graphs can have cycles and multiple connections between nodes.

Choosing the Right Data Structure

The choice of data structure depends on the specific requirements of an application. Consider the following factors when selecting a data structure:

  • Time Complexity: The efficiency of operations like insertion, deletion, and search.
  • Space Complexity: The amount of memory used by the data structure.
  • Flexibility: The ability to dynamically resize or modify the data structure.
  • Type of Operations: The type and frequency of operations performed on the data structure.

By understanding different data structures and their characteristics, you can make informed decisions while designing algorithms or implementing solutions to various problems in computer science.

Data structures form the foundation for efficient and scalable programming. Having a good grasp of these concepts is crucial for any programmer or software engineer.

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