Exercise

Performing grouped summaries of missingness

Now that you can create nabular data, let's use it to explore the data. Let's calculate summary statistics based on the missingness of another variable.

To do this we are going to use the following steps:

First, bind_shadow() turns the data into nabular data.
Next, perform some summaries on the data using group_by() and summarise() to calculate the mean and standard deviation, using the mean() and sd() functions.

Instructions

100 XP

For the oceanbuoys dataset:
bind_shadow(), then group_by() for the missingness of humidity (humidity_NA) and calculate the means and standard deviations for wind east west (wind_ew) using summarise() from dplyr.
Repeat this, but calculating summaries for wind north south (wind_ns).

Take Hint (-30 XP)