Convert data to numeric with purrr
In the sw_people dataset, some of the Star Wars characters have unknown heights. If you want to do some data exploration and determine how character height differs depending on their home planet, you need to write your code so that R understands the difference between heights and missing values. Currently, the missing values are entered as "unknown", but you would like them as NA. In this exercise, you will combine map() and ifelse() to fix this issue.
This exercise is part of the course
Foundations of Functional Programming with purrr
Exercise instructions
- Load the
sw_peopledataset. - Map over
sw_peopleand pull out"height". - Then map over the output and if an element is labeled as "unknown" change it to
NA, otherwise, convert the value into a number withas.numeric().
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Load sw_people data
data(___)
# Map over sw_people and pull out the height element
height_cm <- map(___, ___) %>%
map(function(x){
ifelse(___ == "unknown",NA,
as.numeric(___))
})