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Welcome to the Data Types and Dataset Reading MCQs Page

Dive deep into the fascinating world of Data Types and Dataset Reading with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Data Types and Dataset Reading, a crucial aspect of R Programming. In this section, you will encounter a diverse range of MCQs that cover various aspects of Data Types and Dataset Reading, 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 R Programming.

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Check out the MCQs below to embark on an enriching journey through Data Types and Dataset Reading. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of R Programming.

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

Data Types and Dataset Reading MCQs | Page 5 of 10

Q41.
A __________ is an R-object which can contain many different types of elements inside it.
Discuss
Answer: (b).Lists
Q42.
A _________ is a two-dimensional rectangular data set.
Discuss
Answer: (c).Matrix
Q43.
Which function takes a dim attribute which creates the required number of dimensions?
Discuss
Answer: (b).Array
Q44.
Factors are the r-objects which are created using a _________
Discuss
Answer: (a).Vector
Q45.
Factors are created using the _______ function.
Discuss
Answer: (b).Function()
Q46.
By what function we can create data frames?
Discuss
Answer: (a).Data.frames()
Q47.
vectors can be one of two types namely atomic vectors and _______
Discuss
Answer: (c).Lists
Q48.
Lists can be coerced with which function?
Discuss
Answer: (a).As.lists
Q49.
A data frame is a special type of list where every element of the list has ______ length.
Discuss
Answer: (a).Same
Q50.
Data frames can have additional attributes such as __________
Discuss
Answer: (b).Rownames()
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