This document discusses data representation and data structures. It defines data as numbers, alphabets, and symbols. Data can be atomic, consisting of a single element, or composite, consisting of multiple elements. The document also defines data types in programming languages like C which specify the kind of data variables can hold. User-defined types and derived data types are also discussed. Data structures are defined as the organization of data and relationships between data elements that allow for methods of storage, access, and processing. Common data structures include arrays, stacks, queues, linked lists, trees, and graphs.

2. § INTRODUCTION §
•DATA REPRESENTATION
▪ Data .
▪ Data Type .
▪ Data Type in ‘C’ .
▪ User-defined Type .
▪ Derived Data Type .
▪ DATA STRUCTURE .
▪ NEED OF DATA STRUCTURE .
▪ CLASSIFICATION .
▪ OPERATION .

3. § WHAT IS DATA ?
• Numbers ,
• Alphabets ,
• Symbols .

4. § TYPES OF DATA ?
• Atomic data .
• Composite data .

5. § ATOMIC DATA
• Non-decomposible entity
§ COMPOSITE DATA
• Composible entity

6. § WHAT IS DATA TYPE ?
A data type is a term which
refers to the kind of data that
variables may hold in a
programming language .
Ex: int x;

7. § WHAT IS DATA TYPE IN ‘C’ ?
• Set of built in data types.
• Variables to name data.
• Set of operation.
• Manipulation.

8. § WHAT IS USER-DEFINED TYPE ?
• Type definition .
• Identifier .
§ WHAT IS DERIVED DATA TYPE ?
• Group of element .
• Contiguous memory .

9. § WHAT IS DATA STRUCTURE ?
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Organization of data .
Associativity among data element .
Accessing method .
Operation on data .
Processing alternatives for data .

10. § NEEDS OF DATA STRUCTURE ?
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Close collection .
Operations .
Efficient implementation .
Linked organization .
Sequential organization .
Modification are costly .

11. § CLASSIFICATION OF DATA STRUCTURE §
• DATA STRUCTURE IS DIVIDED INTO TWO
CATEGORIES :
* Primitive data structure .
* Non-primitive data structure .

12. § PRIMITIVE DATA STRUCTURE :
• Programming languages .
• Data objects .
• Machine level instruction .
• Examples :♦ Integers .
♦ Real .
♦ Logical data .
♦ Character data .
♦ Pointers .

13. § NON-PRIMITIVE DATA STRUCTURE :
• Homogeneous data element .
• Heterogeneous data element .
• Examples :♦ Array .
♦ Structures .
♦ Union .
♦ Linked list .
♦ Stack .
♦ Queue .
♦ Tree .
♦ Graph .

14. § OPERATION OF DATA STRUCTURE :-
I. Traversing .
II. Searching .
III. Inserting .
IV. Deleting .
V. Sorting .