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Fix explicit missings using fill()

One type of missing value that can be obvious to deal with is where the first entry of a group is given, but subsequent entries are marked NA.

These missing values often result from empty values in spreadsheets to avoid entering multiple names multiple times; as well as for "human readability".

This type of problem can be solved by using the fill() function from the tidyr package.

Cet exercice fait partie du cours

<cours>Dealing With Missing Data in R</cours>
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Instructions de l’exercice

  • Use fill() to fill down the "name" observations in the frogger dataset.

Exercice interactif pratique

Essayez cet exercice en complétant ce code d’exemple.

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

# Use `fill()` to fill down the name variable in the frogger dataset
___ %>% fill(___)
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