restatis

{restatis} is a wrapper around the RESTful APIs that provide access to the main databases of German official statistics:

• The GENESIS database of the Federal Statistical Office of Germany (Destatis)
• regionalstatistik.de, which is the database of the German Länder (Regionaldatenbank)
• The database of the German 2022 Census (Zensus 2022)
• The Kommunale Bildungsdatenbank
• The Landesdatenbank NRW
• The Datenbank des Bayerischen Landesamtes für Statistik
• The Datenbank des Statistischen Landesamtes Sachsen-Anhalt

Almost all functions work on either one of them, on all of them or just on a selection.

{restatis} uses abbreviations in its functions to specify the databases in the database parameter (e.g., gen_table(name = "1234-0001", database = "regio")). The respective abbreviation strings are the following:

Database	Abbr.
GENESIS (Federal Statistical Office of Germany)	genesis
Regionaldatenbank (regionalstatistik.de)	regio
German Census 2022	zensus
Kommunale Bildungsdatenbank	bildung
Landesdatenbank NRW	nrw
Datenbank des Bayerischen Landesamtes für Statistik	bayern
Datenbank des Statistischen Landesamtes Sachsen-Anhalt	st

Current information and (known) issues

• It is unclear whether the databases of Sachsen-Anhalt (st), Bayern (bayern), Nordrhein-Westfalen (nrw) and Kommunales Bildungsmonitoring (bildung) support the creation of jobs. This is because it is sometimes hard to create large enough tables on a test basis. The package supports their creation and download for all databases mentioned, but there might be issues because of lack of tests.
• The CSV files currently returned by the bayern database (this affects gen_table()) appear to be slightly corrupted. This might cause warnings stemming from {vroom}. These can be ignored, but users have to carefully check the resulting data.frames. Use vroom::problems() to check the data objects for more information.

Installation

You can install the released version of {restatis} from CRAN:

install.packages("restatis")

Or install a development version of {restatis} from GitHub with:

# install.packages("devtools")
devtools::install_github("CorrelAid/restatis")

Usage

Authentication

To access each one of the APIs, you need to have an account that you can create on the homepage (see links to them above) and store your username and password for use in R with restatis::gen_auth_save() (see ?gen_auth_save for more details).

API tokens

The GENESIS and Zensus 2022 databases do support authentication with an API token as well. You can set the token as credential by using setting the parameter use_token = TRUE for restatis::gen_auth_save(). The token itself can be found when logging into the respective webpage with your account and by clicking on Webservice (API) (EN) or Webservice-Schnittstelle (API) (DE) in the bottom left corner. Important: The GENESIS database will not let you create jobs when using API tokens to authenticate. This is why {restatis} will check your credential type once you set job = TRUE for gen_table() and error in case a token is used. To enable the use of jobs, use gen_auth_save() and input your username and password (by setting use_token = FALSE).

Credentials as parameters

In the first versions of {restatis}, it was impossible to set the credentials as a parameter. This is because we want to emphasise the secure storage of credentials that is the default of the package. However, we became aware of certain use-cases (e.g., automated piplines via GitHub Actions and the like) that made it necessary to set the credentials as a parameter. For this reason, in version 0.4.0 we introduced the credential_list parameter for {restatis}’s functions. Using this parameter, users can provide their credentials independently of gen_auth_save. Important Note: We do only encourage this in very rare cases since it is advisable to safely store the credentials. In case you use credential_list, always make sure that the credentials do not appear anywhere in clear text!

The credentials_list has to have the exact following structure:

custom_credentials <- list(genesis = c(username = 'abc123', password = 'qwerty1234'),
                           regio = c(username = 'abc123', password = 'qwerty1234'))

Now when using the custom credentials, you pass the list to the respective function parameter (this overrides the credentials set by gen_auth_save()):

# Example call with custom credentials
res <- restatis::gen_find(term = "diagnosen", 
                          database = "genesis", 
                          credential_list = custom_credentials)
                          
# This also works with multiple databases in `databases`
res2 <- restatis::gen_find(term = "krankenhäuser", 
                           database = c("genesis", "regio"),
                           credential_list = custom_credentials)                          

You have to make sure that the database(s) you specify in database is/are listed in credential_list, otherwise the function call fails. In some cases, you can specify the error.ignore parameter. If it is set to TRUE, the function will continue to execute for those databases that are available, even if some are not. Note: credentials_list does not (currently) support the use of API tokens.

Main features

{restatis} provides functions (prefixed with gen_) for finding, exploring, and retrieving data from the three supported APIs. See the “Basic restatis workflow” vignette for an overview of the main features of the package.

In short, there are functions divided in two main parts, searching for (meta)data and retrieving data:

Searching for (meta)data

• gen_catalogue(): Search the API’s catalogue of data
• gen_find(): Find objects related to a search term
• gen_metadata(): Find meta data to an objects
• gen_alternative_terms(): Find alternative terms to a search term
• gen_modified_data(): Find out when an object has last been modified
• gen_objects2stat(), gen_objects2var(), gen_var2stat(), gen_val2var(), gen_val2var2stat() and gen_search_vars(): Find objects, statistics, variables and values related to each other

Retrieving data

• gen_cube(): Using this function, you can download cube objects
• gen_table(): Using this function, you can download table objects
• gen_list_jobs() and gen_download_job(): Using this function, you can find and download previously created jobs (large tables)

Other functions

• gen_logincheck(): Perform a logincheck to test your credentials
• gen_signs(): Get a list of quality signs (special characters) found in the API’s tables
• gen_update_evas(): Manually scrape a newer version of the EVAS numbers (official statistic IDs)

Caching

{restatis} uses memoisation to cache query results. This means that if you call a function multiple times with the same exact input, the values returned the first time are stored and reused from the second time on. Cached objects are stored in memory and do not persist across R sessions. With version 0.3.0, we have enabled users to turn off caching. The caching option is set to TRUE by default and can be changed by setting options(restatis.use_cache = TRUE) (or FALSE, respectively). You can get the current state of the option by using getOption("restatis.use_cache"). Note: Memoisation is never used for the functions gen_list_jobs() and gen_logincheck() because there is no use-case for a cached version of the results of these functions (e.g., login checks should always be executed when called).

Disclaimer

This package is in no way affiliated with the German Federal Statistical Office (Destatis), the ‘Verbund Statistische Ämter des Bundes und der Länder’ or any other API provider that the package offers services for. It is a simple wrapper providing R functions to access different official statistics APIs. The package authors are in no way responsible for the data that can be retrieved using its functions and do not provide support for any problems arising from the APIs’ functionality itself. Conversely, support for problems related to this package is exclusively provided by the package authors. The license of this package solely applies to its source code.