Data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. So, it is a special format for organizing and storing data. Arrays, linked lists, trees, graphs, etc. are all data structures.

A) 2Linear data structureNon-linear data structure
Linear data structure like array,queue etcNon-linear data structure like tree and graph etc

There are different types of data in data structures. Let's discuss each type in detail.

1. Primitive Data Types:
- These are the basic data types provided by a programming language.
- They are built-in and directly supported by the programming language.
- Examples of primitive data types include integers, floating-point numbers, characters, and booleans.
- Primitive data types are used to represent simple values and are usually of fixed size.

2. Composite Data Types:
- Composite data types are used to combine multiple values into a single entity.
- They are also known as non-primitive data types or structured data types.
- Examples of composite data types include arrays, structures, classes, and objects.
- Composite data types can hold multiple values of different types and sizes.

3. Abstract Data Types (ADTs):
- Abstract data types are high-level data types that are defined by their behavior and operations.
- They are not dependent on any specific programming language.
- ADTs provide a way to abstract the implementation details and focus on the functionality.
- Examples of abstract data types include lists, stacks, queues, trees, and graphs.
- ADTs define the operations that can be performed on the data, such as insertion, deletion, and traversal.

4. Derived Data Types:
- Derived data types are created by combining primitive or composite data types.
- They are derived from existing data types to provide additional functionality.
- Examples of derived data types include pointers, arrays, and functions.
- Derived data types are built on top of primitive or composite data types and can have their own properties and behaviors.

In summary, data in data structures can be categorized into four types: primitive data types, composite data types, abstract data types, and derived data types. Understanding these different types of data is essential for effective data structure design and implementation.