Exercise

Evaluating imputations: The scale

While the mean imputation might not look so bad when we compare it using a boxplot, it is important to get a sense of the variation in the data. This is why it is important to explore how the scale and spread of imputed values changes compared to the data.

One way to evaluate the appropriateness of the scale of the imputations is to use a scatterplot to explore whether or not the values are appropriate.

Instructions

100 XP

Using the data with already imputed values, ocean_imp_mean:

Explore imputations in air temperature (on the x-axis) and humidity (on the y-axis) using a scatterplot, remembering to use color = any_missing.
Build upon this previous visualization by faceting by year.

Take Hint (-30 XP)