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.
Questo esercizio fa parte del corso
Foundations of Functional Programming with purrr
Istruzioni dell'esercizio
- 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().
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# 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(___))
})