# Classification of Data Structure

Data Structures are normally classified into two broad categories.

1.Primitive Data Structure

2.Non-primitive data Structure

**Data types**

A particular kind of data item, as defined by the values it can take, the programming language used, or the operations that can be performed on it.

## Primitive Data Structure

- Primitive data structures are basic structures and are directly operated upon by machine instructions.
- Primitive data structures have different representations on different computers.
- Integers, floats, character and pointers are examples of primitive data structures.

- These data types are available in most programming languages as built in type.

- Integer: It is a data type which allows all values without fraction part. We can use it for whole numbers.
- Float: It is a data type which use for storing fractional numbers.
- Character: It is a data type which is used for character values.

### Non primitive Data Type

- These are more sophisticated data structures.
- These are derived from primitive data structures.
- The non-primitive data structures emphasize on structuring of a group of homogeneous or heterogeneous data items.
- Examples of Non-primitive data type are Array, List, and File etc.
- A Non-primitive data type is further divided into Linear and Non-Linear data structure

- Array:An array is a fixed-size sequenced collection of elements of the same data type.
- List:An ordered set containing variable number of elements is called as Lists.
- File: A file is a collection of logically related information. It can be viewed as a large list of records consisting of various fields.

### Linear data structures

- A data structure is said to be Linear, if its elements are connected in linear fashion by means of logically or in sequence memory locations.
- There are two ways to represent a linear data structure in memory,

- Static memory allocation
- Dynamic memory allocation

- The possible operations on the linear data structure are: Traversal, Insertion, Deletion, Searching, Sorting and Merging.
- Examples of Linear Data Structure are Stack and Queue.
**Stack**: Stack is a data structure in which insertion and deletion operations are performed at one end only.

- The insertion operation is referred to as ‘PUSH’ and deletion operation is referred to as ‘POP’ operation.
- Stack is also called as Last in First out (LIFO) data structure.

**Queue:**The data structure which permits the insertion at one end and Deletion at another end, known as Queue.

- End at which deletion is occurs is known as FRONT end and another end at which insertion occurs is known as REAR end.
- Queue is also called as First in First out (FIFO) data structure.

### Nonlinear data structures

- Nonlinear data structures are those data structure in which data items are not arranged in a sequence.
- Examples of Non-linear Data Structure are Tree and Graph.
- Tree: A tree can be defined as finite set of data items (nodes) in which data items are arranged in branches and sub branches according to requirement.

- Trees represent the hierarchical relationship between various elements.
- Tree consist of nodes connected by edge, the node represented by circle and edge lives connecting to circle.

- Graph: Graph is a collection of nodes (Information) and connecting edges (Logical relation) between nodes.

- A tree can be viewed as restricted graph.
- Graphs have many types:

- Un-directed Graph
- Directed Graph
- Mixed Graph
- Multi Graph
- Simple Graph
- Null Graph
- Weighted Grap

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