Exercise

Evaluating bad imputations

In order to evaluate imputations, it helps to know what something bad looks like. To explore this, let's look at a typically bad imputation method: imputing using the mean value.

In this exercise we are going to explore how the mean imputation method works using a boxplot, using the oceanbuoys dataset.

Instructions

100 XP

For the oceanbuoys dataset:

Impute the mean value with impute_mean_all(), and track these imputations with add_label_shadow().
Explore the imputed values in humidity (humidity) using a boxplot.
Explore the imputed values in air temperature (air_temp_c) using a boxplot.

Take Hint (-30 XP)