Nesting and unnesting in R Programming - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to nest the data frame by the 'group' column.

R Programming

library(dplyr)
library(tidyr)
data <- data.frame(group = c('A', 'A', 'B', 'B'), value = 1:4)
nested_data <- data %>% group_by(group) %>% [1](data = c(value))

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

Anest

Bfilter

Cunnest

Dselect

Attempts:

3 left

💡 Hint

Common Mistakes

Using unnest instead of nest

Using filter or select which do not nest data

The nest() function groups data into nested tibbles by the specified columns.

2fill in blank

medium

Complete the code to unnest the nested data frame column 'data'.

R Programming

library(tidyr)
nested_data <- tibble(group = c('A', 'B'), data = list(tibble(value = 1:2), tibble(value = 3:4)))
unnested_data <- nested_data %>% [1](data)

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

Anest

Bsummarise

Cunnest

Dgroup_by

Attempts:

3 left

💡 Hint

Common Mistakes

Using nest instead of unnest

Using group_by or summarise which do not unnest

The unnest() function expands list-columns back into regular rows.

3fill in blank

hard

Fix the error in the code to correctly nest the data frame by 'category'.

R Programming

library(tidyr)
data <- data.frame(category = c('X', 'X', 'Y'), score = c(10, 20, 30))
nested <- data %>% [1](category, data = c(score))

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

Anest

Bunnest

Cfilter

Dselect

Attempts:

3 left

💡 Hint

Common Mistakes

Using unnest instead of nest

Using filter or select which do not nest data

The nest() function is used to group data into nested tibbles by the specified columns.

4fill in blank

hard

Fill both blanks to nest the data frame by 'team' and nest the 'points' column.

R Programming

library(tidyr)
data <- data.frame(team = c('Red', 'Red', 'Blue'), points = c(5, 7, 8))
nested <- data %>% group_by([1]) %>% [2](data = c(points))

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

Ateam

Bscore

Cnest

Dunnest

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong column name for grouping

Using unnest instead of nest

First, group by the 'team' column, then use nest() to nest the 'points' column.

5fill in blank

hard

Fill all three blanks to unnest the nested data frame and select the 'group' and 'value' columns.

R Programming

library(tidyr)
nested_data <- tibble(group = c('A', 'B'), data = list(tibble(value = 1:2), tibble(value = 3:4)))
unnested <- nested_data %>% [1](data) %>% select([2], [3])

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

Aunnest

Bgroup

Cvalue

Dnest

Attempts:

3 left

💡 Hint

Common Mistakes

Using nest instead of unnest

Selecting wrong column names

Use unnest() to expand the 'data' column, then select the 'group' and 'value' columns.