The document outlines various types of data used in programming, including numeric, boolean, character, string, date and time, and compound data types. It describes the characteristics, applications, advantages, and limitations of each type, emphasizing the importance of selecting appropriate data types for efficient data representation and manipulation. Key takeaways include understanding data types for effective programming and optimizing performance through suitable data type choices.

1. Dr U Praveen
Assistant Professor
Sri Ramakrishna College of Arts &
Science Coimbatore
Topic: Types of Data

2. Introduction to
Data Types
Data types are crucial for understanding and representing
information in computer programming. They define the kind of
data a variable can hold, influencing how it's stored, processed,
and manipulated.

3. Numeric Data Types
Numeric data types represent numerical values, forming the
foundation of calculations and mathematical operations. They
can be further categorized into integers and floating-point
numbers.
Integers
Represent whole
numbers without
decimals, ideal for
counting or discrete
values.
Floating-Point
Represent numbers with
decimals, suitable for
precise measurements or
scientific calculations.

4. Integer Data Types
Integers are whole numbers without fractions or decimals, used
for representing counts, IDs, or positions. They can be positive,
negative, or zero.
1 Examples
Age, number of items
in a shopping cart,
student ID.
2 Advantages
Efficient storage and
faster calculations.
3 Limitations
Inability to represent fractions or decimals.

5. Floating-Point Data Types
Floating-point numbers represent real numbers with decimals, often used for measurements, scientific
calculations, or financial data.
Precision
Store numbers with a varying
number of digits after the
decimal point.
Applications
Suitable for calculations
involving fractions or precise
measurements.
Example
Temperature readings, currency
values, scientific data analysis.

6. Boolean Data Types
Boolean data types represent truth values, typically "true" or
"false," used for conditional statements and logic operations.
True
Represents a positive or affirmative condition.
False
Represents a negative or non-affirmative condition.

7. Character Data Types
Character data types store individual characters like letters,
numbers, punctuation marks, and special symbols. They are
often used for representing single-character input or output.
Character Example Use Case
A Letter Text processing
5 Number Password
validation
* Punctuation Text formatting

8. String Data Types
String data types store sequences of characters, used for representing text,
labels, or messages. They are essential for handling text-based data.
Text
Store written content such as paragraphs or articles.
Labels
Provide descriptions or identifiers for various data elements.
Email Addresses
Store electronic mail addresses for communication.

9. Date and Time Data Types
Date and time data types store specific points in time, commonly
used for recording events, scheduling tasks, or managing
timestamps.
1 Date
Store year, month, and day.
2 Time
Store hours, minutes, and seconds.
3 Timestamp
Combine date and time for a precise point in time.

10. Compound Data Types
Compound data types, also known as composite data types, combine multiple values of various data types into a
single structure, allowing for more complex data representation.
Arrays
Store collections of elements of
the same data type in a
contiguous memory location.
Lists
Store ordered collections of
elements, potentially of different
data types, in a sequence.
Dictionaries
Store key-value pairs, mapping
keys to associated values, allowing
for efficient data retrieval.

11. Conclusion and Key Takeaways
Understanding data types is essential for effective programming. They provide a structured way to represent and
manipulate data, enabling efficient computations and logical operations.
1 Choice
Select appropriate data types
for each variable, considering
the type of data being stored
and its intended usage.
2 Operations
Perform operations based on
the data type, leveraging the
capabilities and limitations of
each type.
3 Efficiency
Use data types that optimize
storage and processing,
leading to improved
performance and resource
management.