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Calling ‘many’ packages

These functions assist data analysts with the download of ‘many’ packages and their data

call_packages()
Call, download, and update many packages
call_releases()
Call releases historical milestones/releases
call_sources()
Call sources for datacubes and datasets in 'many' packages
call_treaties()
Call treaties from 'many' datasets

Comparing ‘many’ packages data

These functions assist data analysts with the visualisation of data on particular domains of global governance

compare_categories()
Compare categories in 'many' datacubes
compare_dimensions()
Compare dimensions for 'many' data
compare_missing()
Compare missing observations for 'many' data
compare_overlap()
Compare the overlap between datasets in 'many' datacubes
compare_ranges()
Compare ranges of variables in 'many' data

Consolidating ‘many’ packages data

These functions assist data analysts with the analysis of data on particular domains of global governance

consolidate()
Consolidate datacube into a single dataset
reexports pluck
Selects a single dataset from a datacube
favour() favor()
Favour datasets in a datacube

Data wrangling with manydata

Ensembled data adds special challenges to data wrangling. These functions assist analysts with wrangling such data

transmutate()
Drop only columns used in formula
recollect()
Pastes unique string vectors
reunite()
Pastes unique string vectors
repaint()
Fills missing data by lookup
coalesce_rows()
Get first non-missing
emperors
Emperors datacube documentation