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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 3 of 6

Q21.
Which of the following function is used for loading flat files?
Discuss
Answer: (c).read.table
Discuss
Answer: (c).write.xlsx write out an excel file with different argument
Q23.
Which of the following is an important parameter of read.table function?
Discuss
Answer: (d).all of the mentioned
Q24.
Which of the following will set the character that represents missing value?
Discuss
Answer: (b).na.strings
Discuss
Answer: (b).data.table is written in Java
Q26.
Which of the following package is used for reading excel data?
Discuss
Answer: (a).xlsx
Q27.
Which of the following can be used to view all the tables in memory?
Discuss
Answer: (a).tables
Q28.
Which of the following function programmatically extract parts of XML file?
Discuss
Answer: (a).XmlSApply
Q29.
Which of the following package is used for reading JSON data?
Discuss
Answer: (a).jsonlite
Q30.
Extracting XML is the basis for most web scraping.
Discuss
Answer: (a).True
Page 3 of 6

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