Adding and removing columns in R Programming - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add a new column age with value 30 to the data frame df.

R Programming

df$age <- [1]

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

A30

B"age"

Cage

Dc(30)

Attempts:

3 left

💡 Hint

Common Mistakes

Using quotes around 30 makes it a string, not a number.

Assigning the column name instead of the value.

To add a new column with a fixed value, assign the value directly. Here, 30 is assigned to df$age.

2fill in blank

medium

Complete the code to remove the column age from the data frame df.

R Programming

df <- df[ , [1] ]

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

Anames(df) == "age"

B!(names(df) == "age")

C"age"

Dnames(df) != "age"

Attempts:

3 left

💡 Hint

Common Mistakes

Using == instead of != selects only the column to remove.

Using quotes alone does not filter columns.

To remove a column, select columns where the name is not equal to "age". This keeps all columns except age.

3fill in blank

hard

Fix the error in the code to add a new column height with values from the vector c(160, 170, 180).

R Programming

df$height <- [1]

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

Ac(160, 170, 180)

B[160, 170, 180]

C(160, 170, 180)

Dlist(160, 170, 180)

Attempts:

3 left

💡 Hint

Common Mistakes

Using square brackets which are not vector constructors in R.

Using parentheses without c().

In R, vectors are created with c(). Using square brackets or parentheses alone is incorrect syntax.

4fill in blank

hard

Fill both blanks to add a new column weight with values from c(60, 70, 80) and then remove the column age.

R Programming

df$[1] <- c(60, 70, 80)
df <- df[ , [2] ]

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

Aweight

Bnames(df) != "age"

Cnames(df) == "age"

Dage

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong column name in the first blank.

Using == instead of != in the second blank.

First, assign the vector to the new column named weight. Then, remove the age column by selecting columns where the name is not "age".

5fill in blank

hard

Fill all three blanks to create a new column with uppercase names from df$name, add a column score with values c(90, 85, 88), and remove the column height.

R Programming

df$[1] <- toupper(df$name)
df$score <- [2]
df <- df[ , [3] ]

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

Aname_upper

Bc(90, 85, 88)

Cnames(df) != "height"

Dheight

Attempts:

3 left

💡 Hint

Common Mistakes

Using the wrong new column name.

Not using c() for the vector.

Using == instead of != to remove the column.

Assign uppercase names to a new column name_upper. Then add score with the given vector. Finally, remove the height column by selecting columns not named "height".