R tip: Access nested list items with purrr

This video tutorial explores handling nested lists in R using the purrr package. It demonstrates geocoding addresses with the R Geocode IO package, resulting in latitude and longitude data nested in list columns. The tutorial explains how to extract and manipulate data from these list columns using purrr's modify_depth function, showcasing elegant solutions for data extraction and modification. The video concludes with converting list data into vectors and integrating them into the original data frame.

What is one of the main challenges when working with nested lists in R?

• They are always empty.

• They require a lot of memory.

• They can have inconsistent structures.

• They are not supported in R.

Which package is used in the example to geocode addresses?

• R Geocode IO

• tidyverse

• ggplot2

• dplyr

What is the purpose of the modify_depth function in the purrr package?

• To sort data frames.

• To modify list columns at a specified depth.

• To create new data frames.

• To delete list columns.

How can you change all values in a data frame column to lowercase using purrr?

• Use the toupper function.

• Use a for loop.

• Use modify_depth with a formula.

• Use the tolower function directly.

What is the result of using bracket one on a vector in R?

• It returns the first element.

• It duplicates the vector.

• It deletes the vector.

• It returns the last element.

How can you convert a list to a vector in R using purrr?

• By using the as_vector function.

• By using the as_list function.

• By using the as_dataframe function.

• By using the as_matrix function.

What function is used to add vectors to the original data frame?

• arrange

• filter

• select

• mutate