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STATcubeR

R client for all things STATcube. Get data from the STATcube REST API or via the open government data portal at https://data.statistik.gv.at. {STATcubeR} makes it easy to include both those datasources into your R projects.

Installation

Current versions of STATcubeR can be directly downloaded from CRAN using

install.packages("STATcubeR")

or directly from github using the {remotes} package.

remotes::install_github("statistikat/STATcubeR")

Alternative: Install from tar.gz Archives

If you are not able to use remotes::nstall_github() to install STATcubeR, you can also download the package as an archive from https://github.com/statistikat/STATcubeR/tags. The package can then be installed by providing a path to the downloaded archive file, for example:

install.packages('STATcubeR-x.y.z.tar.gz', repos = NULL)

Open Data

To import datasets from https://data.statistik.gv.at, pass the dataset id to the od_table() function. For example, OGD data about the Austrian population in 2020 can be accessed as follows.

library(STATcubeR)
population <- od_table("OGD_bevstandjbab2002_BevStand_2020")
population$tabulate()

# A STATcubeR tibble: 392,508 x 5
  `Time section` Sex   `Commune (aggregation by polit… `Age in single ye… Number
* <date>         <fct> <fct>                           <fct>               <int>
1 2020-01-01     male  Eisenstadt <10101>              under 1 year old       77
2 2020-01-01     male  Eisenstadt <10101>              1 year old             75
3 2020-01-01     male  Eisenstadt <10101>              2 years old            70
4 2020-01-01     male  Eisenstadt <10101>              3 years old            83
# … with 392,504 more rows

The resulting object contains labeled data (see above), raw data, metadata and more. See the OGD article for further details. The available datasets article provides an overview of the 315 datasets that are compatible with od_table().

STATcube API

In order to use the REST API, it is required to set up an API key. As mentioned in the API key article, this requires a STATcube subscription.

There are four main functions that interact with the API

sc_schema_catalogue() lists all available datasets and tables
sc_schema_db() provides metadata about a specific database
sc_table() requests a table from the API according to a json standard
sc_table_saved() requests a table based on an id

More information about the first two functions can be found in the schema article. sc_table() and sc_table_saved() have their own articles here and here.

Consistent data formats

Both OGD data and tables form the REST API are wrapped into an {R6} class to provide easy access to data and metadata. For example, the $tabulate() method is also available for tables from the REST API.

# https://statcube.at/statcube/openinfopage?id=debevstandjbab2002
population <- sc_table_saved("defaulttable_debevstandjbab2002")
population$tabulate()

# A STATcubeR tibble: 10 x 3
  `Time section` `Commune (aggregation by political district)`  Number
  <date>         <fct>                                           <dbl>
1 2021-01-01     Burgenland <AT11>                              296010
2 2021-01-01     Carinthia <AT21>                               562089
3 2021-01-01     Lower Austria <AT12>                          1690879
4 2021-01-01     Upper Austria <AT31>                          1495608
# … with 6 more rows

See the base class article for more information about the features of this class.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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