PPT: Data Handling | Mathematics for Class 5 PDF Download

 Page 1


Data Handling
Page 2


Data Handling
Introduction
Have you ever wondered what your friends like 
the most? Maybe it's a favorite game, color, or 
school subject!
Just like Rohan and Anjali wanted to find out 
which subject their classmates liked best, we 
often gather information to understand things 
better.
This process of gathering, organizing, and 
understanding information is called Data 
Handling. It's like being a detective!
Page 3


Data Handling
Introduction
Have you ever wondered what your friends like 
the most? Maybe it's a favorite game, color, or 
school subject!
Just like Rohan and Anjali wanted to find out 
which subject their classmates liked best, we 
often gather information to understand things 
better.
This process of gathering, organizing, and 
understanding information is called Data 
Handling. It's like being a detective!
Collecting Data
Clear Questions Matter
Before we can handle data, we first need to collect it! This means 
gathering information to answer a specific question.
It's important to ask a clear question that will give you the exact 
information you need.
Example Questions
Rohan asked: "Which subjects do you like?"
Anjali asked: "Which subject do you like the most?"
Anjali's question is better for finding the single most liked subject.
Page 4


Data Handling
Introduction
Have you ever wondered what your friends like 
the most? Maybe it's a favorite game, color, or 
school subject!
Just like Rohan and Anjali wanted to find out 
which subject their classmates liked best, we 
often gather information to understand things 
better.
This process of gathering, organizing, and 
understanding information is called Data 
Handling. It's like being a detective!
Collecting Data
Clear Questions Matter
Before we can handle data, we first need to collect it! This means 
gathering information to answer a specific question.
It's important to ask a clear question that will give you the exact 
information you need.
Example Questions
Rohan asked: "Which subjects do you like?"
Anjali asked: "Which subject do you like the most?"
Anjali's question is better for finding the single most liked subject.
Organizing Data
Raw Data
Rohan and Anjali collected 
answers about favorite 
subjects, resulting in a long, 
messy list of letters.
Subject Codes
M = Mathematics, L = 
Languages, T = The World 
Around Us, A = Arts, P.E. = 
Physical Education
Organized Data
By counting and organizing in a table, they could easily see 
which subject was most popular.
Page 5


Data Handling
Introduction
Have you ever wondered what your friends like 
the most? Maybe it's a favorite game, color, or 
school subject!
Just like Rohan and Anjali wanted to find out 
which subject their classmates liked best, we 
often gather information to understand things 
better.
This process of gathering, organizing, and 
understanding information is called Data 
Handling. It's like being a detective!
Collecting Data
Clear Questions Matter
Before we can handle data, we first need to collect it! This means 
gathering information to answer a specific question.
It's important to ask a clear question that will give you the exact 
information you need.
Example Questions
Rohan asked: "Which subjects do you like?"
Anjali asked: "Which subject do you like the most?"
Anjali's question is better for finding the single most liked subject.
Organizing Data
Raw Data
Rohan and Anjali collected 
answers about favorite 
subjects, resulting in a long, 
messy list of letters.
Subject Codes
M = Mathematics, L = 
Languages, T = The World 
Around Us, A = Arts, P.E. = 
Physical Education
Organized Data
By counting and organizing in a table, they could easily see 
which subject was most popular.
Pictographs
Visual Representation
Pictographs use symbols or 
pictures to show data instead of 
just numbers.
Key Information
Each picture represents a specific 
quantity, shown in the key.
Easy Comparison
Makes it easy to compare 
amounts visually at a glance.