Exercise

# Other summaries of missingness

Some summaries of missingness are particularly useful for different types of data. For example, `miss_var_span()`

and `miss_var_run()`

.

`miss_var_span()`

calculates the number of missing values in a specified variable for a repeating span. This is really useful in time series data, to look for weekly (7 day) patterns of missingness.`miss_var_run()`

calculates the number of "runs" or "streaks" of missingness. This is useful to find unusual patterns of missingness, for example, you might find a repeating pattern of 5 complete and 5 missings.

Both `miss_var_span()`

and `miss_var_run()`

work with the `group_by`

operator from `dplyr`

.

Instructions

**100 XP**

Using the `pedestrian`

dataset from `naniar`

:

- Calculate summaries of missingness for the variables in datasets using
`miss_var_span()`

, for a span of 4000. - Calculate summaries of missingness for the cases in datasets using
`miss_var_run()`

. - Combine with dplyr's
`group_by`

operator for`month`

.