Data Science and Machine Learning with R - Basic Types

Data Science and Machine Learning with R - Basic Types

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to start with a clean R Studio environment?

To ensure all students have the same setup

To avoid installing unnecessary packages

To save time during the lecture

To prevent errors in code execution

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In R, what term is used to refer to what other languages call 'strings'?

String

Word

Character

Text

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What function in R is used to determine the type of an object?

type()

class()

typeof()

object()

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does R differentiate between numeric and integer data types?

By storing them in separate files

By using different variable names

By appending a capital 'L' to integers

By using different functions

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What happens when you coerce a numeric value with decimals into an integer in R?

An error is thrown

The decimal part is rounded

The value is converted to a string

The decimal part is truncated

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a representation of a logical data type in R?

FALSE

YES

T

TRUE

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the two internal possibilities for logical data types in R?

On and Off

1 and 0

Yes and No

True and False