Data Manipulation with dplyr MCQ question and answer with solution | R Programming MCQs

A. rename_column(old_name = new_name)

B. rename(columns = c("old_name" = "new_name"))

C. alter_column("old_name", "new_name")

D. rename(vars(old_name = new_name))

A. Creates a new data frame with only the specified columns

B. Transforms the data frame structure

C. Mutates the data frame based on conditions

D. Transposes the data frame

A. mutate(percentage_sales = sales / sum(sales) * 100)

B. calculate_percentage(sales)

C. summarize(percentage = sum(sales) / total_sales * 100)

D. percent_of_total(sales)

A. Transforms wide data to long format

B. Transposes rows and columns

C. Expands the data frame horizontally

D. Unpivots the data frame

A. filter(variable != value)

B. filter(not_equal(variable, value))

C. filter(variable <> value)

D. filter(variable not in value)

A. ggplot

B. ggsave

C. ggpcp

D. ggorder

A. ggmissplot

B. ggmissing

C. ggfluctuation

D. ggpcp

A. one

B. seven

C. three

D. five

A. 0

B. 1

C. 2

D. NULL

A. For each probability distribution there are typically three functions

B. For each probability distribution there are typically four functions

C. r function is sufficient for simulating random numbers

D. R comes with a set of pseudo-random number generators