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Data Handling Class 1 Notes Maths Chapter 9

What is data?

Imagine you have a box of colorful toys. Each toy is like a special piece of information. Now, when we gather and collect all these toys together, that's called "data." So, data is like a bunch of toys or information that we collect and use to understand things.

Data Handling Class 1 Notes Maths Chapter 9

What is Data Handling?

Data handling is like sorting and playing with toys. We collect, count, and organize information, making it easy to understand, just like arranging colorful blocks or grouping toys by color! 🧸              

  • Let us see an example to understand better the concept of data collecting.
  • Look at the table. This table shows the number of fruits sold in a day by a fruit seller.
    Data Handling Class 1 Notes Maths Chapter 9
  • From this table, we can easily understand that the seller has 10 apples and 17 mangoes. Data handling is important because it helps us sort and understand information, like counting toys or fruits.
  • The information we get from the above data is that Mangoes are sold the most. Apples are sold the least.
  • Data handling is about organizing, counting, and showing information in a fun and easy way!
Test: Data Handling
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Types of Data

  • Numbers: Like counting how many apples are in a basket.

  • Words: Like the names of your classmates.

  • Pictures: Like drawing smiley faces to show different feelings.

Real-Life Example of Data Handling

  • Data Handling is widely used in the collection of scores of students in various exams.

Data Handling Class 1 Notes Maths Chapter 9

  • Data handling helps doctors to keep records of their patients.

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The document Data Handling Class 1 Notes Maths Chapter 9 is a part of the Class 1 Course Mathematics for Class 1: NCERT.
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FAQs on Data Handling Class 1 Notes Maths Chapter 9

1. What is data?
Ans. Data is a collection of facts, figures, or information that can be stored and used for various purposes.
2. What is Data Handling?
Ans. Data Handling refers to the process of managing, organizing, and analyzing data to extract useful information from it.
3. Can you provide a real-life example of Data Handling?
Ans. A real-life example of Data Handling is when a company collects customer information, organizes it in a database, and analyzes it to understand customer preferences and behavior.
4. How can data handling be useful in everyday life?
Ans. Data handling can be useful in everyday life for tasks such as budgeting, keeping track of personal fitness progress, or organizing schedules.
5. What are some common tools used for data handling?
Ans. Some common tools used for data handling include spreadsheet software like Microsoft Excel, databases like MySQL, and data visualization tools like Tableau.
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