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Welcome to the Data Manipulation MCQs Page

Dive deep into the fascinating world of Data Manipulation with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Manipulation, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Manipulation, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

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Check out the MCQs below to embark on an enriching journey through Data Manipulation. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Data Manipulation. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Data Manipulation MCQs | Page 1 of 6

Explore more Topics under Data Science

Q1.
Which of the following block information is odd man out?
Discuss
Answer: (b).Raw data
Q2.
Following figure represents correct sequence of steps in performing data analysis.
Discuss
Answer: (a).True
Discuss
Answer: (a).Data has only qualitative value
Q4.
Data that summarize all observations in a category are called __________ data.
Discuss
Answer: (b).summarized
Discuss
Answer: (d).all of the mentioned
Discuss
Answer: (a).Primary data is original source of data
Q7.
Which of the following data is put into a formula to produce commonly accepted results?
Discuss
Answer: (b).Processed
Q8.
Processing data includes subsetting, formatting and merging only.
Discuss
Answer: (b).False
Q9.
Which of the following is another name for raw data?
Discuss
Answer: (b).eggy data
Q10.
Which type of data is generated by POS terminal in a busy supermarket each day?
Discuss
Answer: (a).Source
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