Discover Types of Data Structures, including linear and non-linear, and their importance for efficient data management and retrieval. To help you master them, we've compiled a comprehensive guide covering types, classifications, and applications of data structures. This article simplifies everything, helping you choose the right one in minutes. Data structure has many different uses in our daily life. Data types are often confused as a type of data structures, but it is not precisely correct even though they are referred to as Abstract Data Types. Data types represent the nature of the data while data structures are just a collection of similar or different data types in one. In Computer Science there are two different kinds of data structures. Primitive Data Structures are basic data structures provided by programming languages to represent single values, such as integers, floating-point numbers, characters, and booleans. Abstract Data Structures are higher-level data structures that are built using primitive data types and provide more complex and specialized operations. Some common examples of abstract data structures include arrays, linked lists, stacks ...
