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Data Handling - 1 Class 1 Worksheet Maths Chapter 9

Can You Sort the Numbers?

There are some numbers in the box.

Data Handling - 1 Class 1 Worksheet Maths Chapter 9

Sort out the numbers in the given table.
Data Handling - 1 Class 1 Worksheet Maths Chapter 9

Counting and Comparing Animals in the Park

Roshni is playing with her friends in the park. She saw 3 ducks, 2 dogs, 4 birds, 1 tortoise and 2 squirrels.
Data Handling - 1 Class 1 Worksheet Maths Chapter 9Colour one box for one animal to show number of animals of each type. One is done for you.
Data Handling - 1 Class 1 Worksheet Maths Chapter 9

Do you agree with the following? Write ‘Yes’ or ‘No’ in the blanks.
(a) Roshni saw more ducks than dogs. _________
(b) Number of dogs were the same as the number of squirrels. _________
(c) She saw total 12 animals in the park. _________

Can You Sort the Coins?

Murli bought an item for 2. He gave a 50 note to the shopkeeper and got back 38 in the form of some coins as shown below. Sort the coins in the table given below.

Data Handling - 1 Class 1 Worksheet Maths Chapter 9

Sorting Shapes by Shade – Can You Count?

Look at the following shapes. Sort them by their shades and answer the following questions.

Data Handling - 1 Class 1 Worksheet Maths Chapter 9(a) How many Data Handling - 1 Class 1 Worksheet Maths Chapter 9? _________
(b) How many Data Handling - 1 Class 1 Worksheet Maths Chapter 9? _________
(c) How many Data Handling - 1 Class 1 Worksheet Maths Chapter 9? _________

Favourite Games Survey – Can You Draw?

The class teacher wrote the favourite games of 12 students.

Data Handling - 1 Class 1 Worksheet Maths Chapter 9Draw one Data Handling - 1 Class 1 Worksheet Maths Chapter 9 for each game in the blank chart given below. Data Handling - 1 Class 1 Worksheet Maths Chapter 9
Data Handling - 1 Class 1 Worksheet Maths Chapter 9(a) Which game is the most popular amongst the 12 students? _______
(b) How many students like Ludo and Tic-Tak-Toe altogether?  _______

Counting Flowers – How Many Can You See?

Colour as many boxes as the number of flowers you see in the picture. Also, write how many flowers of each type in the last column.

Data Handling - 1 Class 1 Worksheet Maths Chapter 9

Answer the Following

Which of the following are correct?
(a) Sorting helps in answering required questions.
(b) Sorting is only for fun and has no use in our real-life.
(c) Sorting helps in comparing things.

Tick (✔) the correct statement.
(a) Sorting means grouping like objects together.
(b) Sorting means grouping unlike objects.

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

1. What is data handling?
Ans. Data handling refers to the process of organizing, analyzing, and interpreting data to extract meaningful insights and make informed decisions. It involves collecting, storing, retrieving, and manipulating data to understand patterns, trends, and relationships within the data.
2. Why is data handling important?
Ans. Data handling is important because it allows us to make sense of the vast amounts of data that are generated in various fields. By organizing and analyzing data, we can identify patterns, trends, and correlations that can help us solve problems, make predictions, and improve decision-making processes.
3. What are the different methods of data handling?
Ans. There are several methods of data handling, including data collection, data storage, data cleaning, data analysis, and data visualization. Data collection involves gathering data from various sources, while data storage involves storing the collected data in databases or other storage systems. Data cleaning involves removing errors and inconsistencies from the data, and data analysis involves applying statistical and mathematical techniques to extract insights from the data. Data visualization involves presenting the analyzed data in a visual format, such as charts or graphs.
4. What are the challenges in data handling?
Ans. Data handling can be challenging due to various factors. Some common challenges include data quality issues, such as missing or incorrect data, data privacy and security concerns, managing large volumes of data, and ensuring data consistency and integrity. Additionally, data handling may require specialized skills and tools, and the complexity of data handling processes can sometimes make it difficult to obtain accurate and reliable results.
5. What are the benefits of effective data handling?
Ans. Effective data handling can bring several benefits. It can help in making better decisions by providing insights and evidence-based information. It can also improve efficiency by automating manual processes and reducing errors. Data handling can support innovation and discovery by uncovering hidden patterns and relationships in the data. Furthermore, it can enhance customer experience by personalizing products and services based on data analysis. Overall, effective data handling can lead to improved outcomes, increased competitiveness, and better understanding of complex phenomena.
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