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  3. Dealing With Missing Data in R

Exercise

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.

Instructions

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