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Fix implicit missings using complete()

We are going to explore a new dataset, frogger.

This dataset contains 4 scores per player recorded at different times: morning, afternoon, evening, and late_night.

Every player should have played 4 games, one at each of these times, but it looks like not every player completed all of these games.

Use the complete() function to make these implicit missing values explicit

This exercise is part of the course

Dealing With Missing Data in R

View Course

Exercise instructions

For the frogger dataset:

  • Use complete() from tidyr on the time and name variables to make implicit missing values explicit.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Print the frogger data to have a look at it
___

# Use `complete()` on the `time` and `name` variables to  
# make implicit missing values explicit
frogger_tidy <- ___ %>% ___(___, ___)
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