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R for Data Analytics MCQ - Data Import and Data Cleaning

6 How are missing values normally represented in R?

R uses NA to represent a missing or unavailable value in a data set.

7 Which function tests whether values are missing in R?

The is.na() function returns logical values indicating which elements are missing.

8 Which function converts a vector into a factor in R?

The factor() function represents categorical data by creating a factor with a defined set of levels.

9 If df$age contains missing values, which expression selects rows where age is not missing?

!is.na(df$age) identifies values that are not missing.

10 Which argument of read.csv() can be used to specify strings that should be interpreted as missing values?

The na.strings argument specifies character values that should be converted to NA.

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Question:

Which argument of read.csv() can be used to specify strings that should be interpreted as missing values?

A. missing
B. null.value
C. na.strings
D. na.value

Correct answer: C

Explanation:

The na.strings argument specifies character values that should be converted to NA.

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