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  3. Dealing With Missing Data in R

Exercise

Nabular data and filling by missingness

Summary statistics are useful to calculate, but as they say, a picture tells you a thousand words.

In this exercise, we are going to explore how you can use nabular data to explore the variation in a variable by the missingness of another.

We are going to use the oceanbuoys dataset from naniar.

Instructions

100 XP
  • First explore the missingness structure of oceanbuoys using vis_miss().
  • Explore the distribution of wind east west (wind_ew) for the missingness of air temperature using geom_density().
  • Explore the distribution of sea temperature for the missingness of humidity using geom_density().