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  3. Dealing With Missing Data in R

Exercise

Evaluating and comparing imputations

When you build up an imputation model, it's a good idea to compare it to another method. In this lesson, we are going to compare the previously imputed dataset created using impute_lm() to the mean imputed dataset. Both of these datasets are included in this exercise as ocean_imp_lm_wind and ocean_imp_mean respectively.

Instructions

100 XP
  • Bind the models together using bind_rows(), placing the ocean_imp_mean model into mean, and ocean_imp_lm_wind into lm_wind.
  • Look at the values of air_temp and humidity as a scatter plot, placing air_temp_c on the x-axis, humidity on the y-axis, color by any missings, and faceting by imputation model used (imp_model).