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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 5 of 6

Explore more Topics under Data Science

Q41.
Which of the following function gives information about top level data?
Discuss
Answer: (a).head
Discuss
Answer: (d).none of the mentioned
Q43.
Which of the following function is used for quantiles of quantitative values?
Discuss
Answer: (a).quantile
Q44.
Which of the following function is used for determining missing values?
Discuss
Answer: (d).all of the mentioned
Discuss
Answer: (c).Common variables are not used to apply transforms
Q46.
Which of the following transforms can be performed with data value?
Discuss
Answer: (d).all of the mentioned
Q47.
Each observation forms a column in tidy data.
Discuss
Answer: (b).False
Q48.
Which of the following function is used for casting data frames?
Discuss
Answer: (a).dcast
Q49.
Which of the following join is by default used in plyr package?
Discuss
Answer: (a).left
Q50.
mutate function is used for casting as multi dimensional arrays.
Discuss
Answer: (b).False
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