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  3. Dealing With Missing Data in R

Exercise

Faceting to explore missingness (multiple plots)

Another useful technique with geommisspoint() is to explore the missingness by creating multiple plots.

Just as we have done in the previous exercises, we can use the nabular data to help us create additional faceted plots.

We can even create multiple faceted plots according to values in the data, such as year, and features of the data, such as missingness.

Instructions

100 XP
  • Use geom_miss_point() and facet_wrap() to explore how the missingness in wind_ew and air_temp_c is different for missingness of humidity.
  • Use geom_miss_point() and facet_grid() to explore how the missingness in wind_ew and air_temp_c is different for missingness of humidity and by year.