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 box plot, 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 box plot. - Explore the imputed values in air temperature (
`air_temp_c`

) using a box plot.