compare_missing: Compare missing observations for 'many' data

In globalgov/qData: A Portal for Global Governance Data

Compare missing observations for 'many' data

Description

Compare missing observations for 'many' data

Usage

compare_missing(datacube, dataset = "all", variable = "all")

Arguments

datacube	A datacube from one of the many packages.
dataset	A dataset in a datacube from one of the many packages. NULL by default. That is, all datasets in the datacube are used. To select two or more datasets, please declare them as a vector.
variable	Would you like to focus on one, or more, specific variables present in one or more datasets in the 'many' datacube? By default "all". For multiple variables, please declare variable names as a vector.

Details

compare_missing() compares the missing observations for variables in each dataset in a 'many' datacube.

Value

compare_missing() returns a tibble with information about each dataset including the number of observations, the number of variables, the earliest date, and the latest date in all observations.

See Also

Other compare_: compare_categories(), compare_dimensions(), compare_overlap(), compare_ranges()

Examples

compare_missing(emperors)
plot(compare_missing(emperors))

globalgov/qData documentation built on Feb. 23, 2024, 4:16 a.m.