Using miss_scan_count
You have a dataset with missing values coded as "N/A"
, "missing"
, and "na"
. But before we go ahead and start replacing these with NA
, we should get an idea of how big the problem is.
Use miss_scan_count
to count the possible missings in the dataset, pacman
, a dataset of pacman scores, containing three columns:
year
: the year that person made that score.initial
: the initials of the person.score
: the scores of that person.
This exercise is part of the course
Dealing With Missing Data in R
Exercise instructions
For the pacman
dataset, use miss_scan_count()
to search for strange missing values:
"N/A"
,"missing"
,"na"
, and" "
(a single space).- To search for strange missing values all at once.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Explore the strange missing values "N/A"
miss_scan_count(data = ___, search = ___)
# Explore the strange missing values "missing"
miss_scan_count(data = ___, search = ___)
# Explore the strange missing values "na"
___(___ = ___, search = list(___))
# Explore the strange missing values " " (a single space)
miss_scan_count(data = ___, search = ___)
# Explore all of the strange missing values, "N/A", "missing", "na", " "
miss_scan_count(data = ___, search = list(___, ___, ___, ___))