This document provides an introduction to data structures. It defines data as a set of values and information as processed data. It distinguishes between primitive and non-primitive data structures. Primitive structures are fundamental data types like integers and floats, while non-primitive structures are built from primitive types, such as lists, stacks, queues, trees and graphs. Linear structures like arrays, stacks and queues store elements in a sequential order, while non-linear structures like trees and graphs distribute elements across a plane in a non-sequential way. Common non-primitive structures are described in more detail, including their properties and uses.

1. Data Structures-Introduction
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2. Data and Information
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• Data –Set of values
• Example:28/6/2015,jeeva,6
• Information –processed Data
• Example
• name-jeeva
• Dob-28/6/2015
• Age-5

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Difference between data and Information

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5. Definition
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• Data Structure is a way of storing and organizing data in a
computer so that it can be used efficiently.
• Data structure is representation of the logical relationship
existing between individual elements of data.

6. Categories of Data Structure
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7. Primitive data Structure
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• Primitive data structures are the fundamental data types
which are supported by a programming language.
• Integer, Floating-point number, Character constants,
string constants, pointers etc, fall in this category.

8. Non-Primitive Data Structures
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• Non prinmitive data structures are those data structures which are created
using primitive data structures.
• The non-primitive data structures emphasize on structuring of a group
of homogeneous (same type) or heterogeneous (different type) data
items.
• Lists, Stack, Queue, Tree, Graph are example of non-primitive data
structures.
• The design of an efficient data structure must take operations to be
performed on the data structure

9. Non Primitive Data Structure
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10. Linear Data Structure
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• If the elements of a data structure are stored in a linear or sequential
order,then it’sa linear data structure
• Example-array,stack,queue

11. Array
 An array is defined as a set of finite number of homogeneous elements or same data items.
 It means an array can contain one type of data only, either all integer, all float-point
number or all character.
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12. Linked List
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•

13. Stack
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• LIFO(Last In First Out)
• Stack is an ordered collection of homogeneous data elements where the
insertion and deletion operations take place at one end only…

14. Queue
• FIFO(First In First Out)
• Queue is open at both its ends. One end is alwaysused to insert data and
the other is used to remove data
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15. Non –Linear Data Structure
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• If the elements of a data structure are not stored in a sequential order then
it’sa non linear data structure.all the elements distributed over a plane.
• Example-Tree,graph

16. Graph
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• Agraph is a group of vertices and edges where an edge connects a pair of
vertices.
• Vertices on the graph are shown as point or circles and edges are drawn
as arcs or line segment.
• Definition: A graph G(V,E) is a set of vertices V and a set of edges E.

17. Tree
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• Atree is a nonlinear hierarchical data structure that consists of nodes
connected by edges.
• There is a specially designated node called root
• The first node of the tree is called root node.
• If this root node is connected by another node, the root is then parent node,
and the connected node is a child.

18. Tree
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19. Categories of Data Structure
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20. Thank you
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