PPT: Data Handling | Mathematics for Class 3 PDF Download

 Page 1


Introduction to Introduction to
Data Handling Data Handling    
Page 2


Introduction to Introduction to
Data Handling Data Handling    
We are going to explore an exciting topic called Data Handling.
But wait, what is data?  
Think about this—when you count how many red, blue, and
green crayons you have, you are collecting information.
This information is called data.  
Page 3


Introduction to Introduction to
Data Handling Data Handling    
We are going to explore an exciting topic called Data Handling.
But wait, what is data?  
Think about this—when you count how many red, blue, and
green crayons you have, you are collecting information.
This information is called data.  
Now, what do we do with data? 
We follow three simple steps:  
Collecting Data
Organizing Data
Understanding Data
Page 4


Introduction to Introduction to
Data Handling Data Handling    
We are going to explore an exciting topic called Data Handling.
But wait, what is data?  
Think about this—when you count how many red, blue, and
green crayons you have, you are collecting information.
This information is called data.  
Now, what do we do with data? 
We follow three simple steps:  
Collecting Data
Organizing Data
Understanding Data
2. Organizing Data – Putting the information of
collected balloons neatly in a chart or a table so it is
easy to understand. 
1. Collecting Data – Just like counting how many
balloons of each colour are in a bunch.  
Page 5


Introduction to Introduction to
Data Handling Data Handling    
We are going to explore an exciting topic called Data Handling.
But wait, what is data?  
Think about this—when you count how many red, blue, and
green crayons you have, you are collecting information.
This information is called data.  
Now, what do we do with data? 
We follow three simple steps:  
Collecting Data
Organizing Data
Understanding Data
2. Organizing Data – Putting the information of
collected balloons neatly in a chart or a table so it is
easy to understand. 
1. Collecting Data – Just like counting how many
balloons of each colour are in a bunch.  
3. Understanding Data – Looking at the organized information to
find patterns and make decisions, like knowing which colour balloon
is the most popular.