NULL and NA values in R Programming - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to assign a missing value in R.

R Programming

x <- [1]

Drag options to blanks, or click blank then click option'

ANA

BNULL

C0

DFALSE

Attempts:

3 left

💡 Hint

Common Mistakes

Using NULL instead of NA for missing data.

In R, NA represents a missing value, while NULL means no value or empty.

2fill in blank

medium

Complete the code to check if a value is NA.

R Programming

is.na([1])

Drag options to blanks, or click blank then click option'

ANULL

Bx

CFALSE

DNA

Attempts:

3 left

💡 Hint

Common Mistakes

Checking is.na(NA) directly instead of a variable.

The function is.na() checks if the value x is missing (NA).

3fill in blank

hard

Fix the error in the code to remove NULL values from a vector.

R Programming

clean_vec <- vec[!is.null([1])]

Drag options to blanks, or click blank then click option'

Avec

Bclean_vec

CNULL

DNA

Attempts:

3 left

💡 Hint

Common Mistakes

Using is.null() to filter vector elements, which does not work element-wise.

The function is.null() does not work element-wise on vectors. Use vec inside the brackets to filter.

4fill in blank

hard

Fill both blanks to create a vector without NA values.

R Programming

clean_vec <- vec[![1]([2])]

Drag options to blanks, or click blank then click option'

Ais.na

Bvec

Cis.null

DNA

Attempts:

3 left

💡 Hint

Common Mistakes

Using is.null instead of is.na to check missing values.

Use is.na() to check for missing values and vec as the vector to filter.

5fill in blank

hard

Fill both blanks to replace NA values with zero in a vector.

R Programming

vec[[1](vec)] <- [2]
vec

Drag options to blanks, or click blank then click option'

Ais.na

B0

CNA

Dis.null

Attempts:

3 left

💡 Hint

Common Mistakes

Using is.null instead of is.na to find missing values.

Use is.na() to find missing values and replace them with 0.