Title: | Access Databases from the Federal Statistical Office of Germany |
---|---|
Description: | Retrieve and import data from different databases of the Federal Statistical Office of Germany (DESTATIS) using their SOAP XML web service <https://www-genesis.destatis.de/>. |
Authors: | Moritz Marbach [aut, cre] |
Maintainer: | Moritz Marbach <[email protected]> |
License: | GPL-3 |
Version: | 1.2.10 |
Built: | 2024-10-21 06:53:36 UTC |
Source: | CRAN |
download_csv()
downloads the csv for a table
download_csv( tablename, startyear = "", endyear = "", ..., genesis_db = "de", save = TRUE )
download_csv( tablename, startyear = "", endyear = "", ..., genesis_db = "de", save = TRUE )
tablename |
name of the table to retrieve. |
startyear |
only retrieve values for years equal or larger to |
endyear |
only retrieve values for years smaller or equal to |
... |
further parameters supplied as URL parameter in the GENESIS database call |
genesis_db |
name of the database (default: 'de'). |
save |
write string to a text file (default: TRUE) |
Downloads the csv file either to the working directory getwd()
or outputs it as a string.
This is an alternative approach to the retrieve_*() functions. This is designed for https://www-genesis.destatis.de/genesis/online as it does not require a login. It might not work as expected for the other databases.
## Not run: download_csv("12411-0004.csv") ## End(Not run)
## Not run: download_csv("12411-0004.csv") ## End(Not run)
The GV100 format is used by DESTATIS to publish the German municipality register
read_gv100(file, stzrt, version = NULL, encoding = "iso-8859-1", ...)
read_gv100(file, stzrt, version = NULL, encoding = "iso-8859-1", ...)
file |
path to file |
stzrt |
integer to select the administrative level (see details) |
version |
which GV100 version. If NULL the version is guessed based on the file name. |
encoding |
encoding of the file |
... |
other parameters passed to |
The Gemeindeverzeichnis (municipality register) is published
in a fixed width file refered to as "GV1000 ASCII Format" by
DESTATIS. The register features the list of municipality and
higher order administrative units. The function is a wrapper
around read_fwf
.
There are two types of files: One feature the administrative
information (version="AD"
) and one with non-administrative
(version="NAD"
). If version=NULL
, read_gv100() guess the
type based on the file name.
To select a particular administrative unit use the stzrt argument (Satzart). For the AD version, the following choices are possible:
10 - Länder (states) 20 - Regierungsbezirke 30 - Regionsdaten (only Baden-Württemberg) 40 - Kreise (counties) 50 - Gemeindeverbandsdaten 60 - Gemeinden (municipalities)
For the NAD version only:
41 - Kreise (counties) 61 - Gemeinden (municipalities)
Since about 2019, the Gemeindeverzeichnis is using UTF-8 encoding rather than ISO-8859-1. See also DESTATIS Website: GV-ISys
a data.frame
.
## Not run: d <- read_gv100("GV100NAD31122016.asc", stzrt=60) ## End(Not run)
## Not run: d <- read_gv100("GV100NAD31122016.asc", stzrt=60) ## End(Not run)
read_header_genesis
reads the header of a GENESIS csv.
read_header_genesis( ..., start, lines = 2, readr_locale = locale(encoding = "windows-1252"), replacer = NULL, clean_letters = TRUE )
read_header_genesis( ..., start, lines = 2, readr_locale = locale(encoding = "windows-1252"), replacer = NULL, clean_letters = TRUE )
... |
arguments to |
start |
number of the first line of the header |
lines |
number of header lines |
readr_locale |
definition of locale() to be passed to read_csv2() |
replacer |
a vector that is used as the first K column-names |
clean_letters |
make proper variable names? (default: TRUE) |
locale |
default encoding is 'windows-1252' |
To generate valid column names, the function replaces all special characters (e.g. German öüä) with ASCII letters and removes whitespaces. Multi-line headers are joined but separated with a '_'.
a vector
of column names.
## Not run: library(readr) download_csv(tablename="12411-0004") d <- read_header_genesis('12411-0004.csv', start=6, replacer=c("STAG")) data <- read_csv2('12411-0004.csv', skip=6, n_max=30-6+1, na="-", locale=locale(encoding="windows-1252") ) colnames(data) <- d ## End(Not run)
## Not run: library(readr) download_csv(tablename="12411-0004") d <- read_header_genesis('12411-0004.csv', start=6, replacer=c("STAG")) data <- read_csv2('12411-0004.csv', skip=6, n_max=30-6+1, na="-", locale=locale(encoding="windows-1252") ) colnames(data) <- d ## End(Not run)
retrieve_data
retrieves a single data table.
retrieve_data( tablename, startyear = "", endyear = "", regionalmerkmal = "", regionalschluessel = "", sachmerkmal = "", sachschluessel = "", sachmerkmal2 = "", sachschluessel2 = "", sachmerkmal3 = "", sachschluessel3 = "", inhalte = "", genesis = NULL, language = "de", ... )
retrieve_data( tablename, startyear = "", endyear = "", regionalmerkmal = "", regionalschluessel = "", sachmerkmal = "", sachschluessel = "", sachmerkmal2 = "", sachschluessel2 = "", sachmerkmal3 = "", sachschluessel3 = "", inhalte = "", genesis = NULL, language = "de", ... )
tablename |
name of the table to retrieve. |
startyear |
only retrieve values for years equal or larger to |
endyear |
only retrieve values for years smaller or equal to |
regionalmerkmal |
key for Regionalklassifikation. See details for more information. Default: "". |
regionalschluessel |
only retrieve values for particular regional units. See details for more information. Default: "". |
sachmerkmal , sachmerkmal2 , sachmerkmal3
|
key for Sachklassifikation. Default: "". |
sachschluessel , sachschluessel2 , sachschluessel3
|
value for Sachklassifikation. Default: "". |
inhalte |
retrieve only selected variables. Default is to retrieve all. |
genesis |
to authenticate a user and set the database (see below). |
language |
retrieve information in German "de" (default) or in English "en" if available. |
... |
other arguments send to the httr::GET request. |
Use retrieve_datalist
to find the tablename
based on the table series you are interested in. See the
package description (wiesbaden
) for details about setting the login and database.
The parameter regionalschluessel
can either be a single value (a single Amtlicher Gemeindeschlüssel) or a
comma-separated list of values supplied as string (no whitespaces). Wildcard character "*" is allowed.
If regionalschluessel
is set, the parameter regionalmerkmal
must also be set to GEMEIN, KREISE,
REGBEZ, or DLAND. The same logic applies to the parameter combination sachmerkmal
and sachschluessel*
.
The parameter inhalte
takes a 1-6 character long name of a variable in the table. If choosing multiple variables,
delimit by ",", e.g. "STNW01,STNW02" (no whitespaces).
Limiting the data request to particular years (via the *year
parameters), geographical units (via the regional*
parameters)
attributes (via the sach*
parameters) or selected variables (via the inhalte
parameter) is necessary if the API request
fails to return any data. If you are not able to download the table because of size, inspect the metadata first
(using retrieve_metadata or retrieve_valuelabel) and then limit the data request accordingly. See also examples below.
a data.frame
. Value variables (_val) come with three additional variables (_qual, _lock, _err). The exact nature
of these variables is unknown, but _qual appears to indicate if _val is a valid value. If _qual=="e" the value in _val is
valid while if _qual!="e" (then _qual = ("-","/", ".", "x", ... ) ) it is typically zero should/might be set to NA.
## Not run: # Retrieve values for the table 14111KJ002 which contains the # federal election results on the county level. # Assumes that user/password are stored via save_credentials() data <- retrieve_data(tablename="14111KJ002", genesis=c(db="regio") ) # ... only the values for the AfD. data <- retrieve_data(tablename="14111KJ002", sachmerkmal="PART04", sachschluessel="AFD", genesis=c(db="regio") ) # ... or only values from Saxony data <- retrieve_data(tablename="14111KJ002", regionalmerkmal="KREISE", regionalschluessel="14*", genesis=c(db="regio") ) # Limiting the number of data points is in particular important for # large tables. For example, this data request fails: data <- retrieve_data(tablename="33111GJ005", genesis=c(db='regio')) # But after limiting the request to one year, the data is returned: data <- retrieve_data(tablename="33111GJ005", genesis=c(db='regio'), startyear=2019, endyear=2019) # An alternative strategy is to only request a subset of the variables. # For example, this data request fails: data <- retrieve_data("12711GJ002", genesis=c(db="regio")) # But when requesting only one instead of all variables, the data is returned: data <- retrieve_data("12711GJ002", inhalte="BEV081", genesis=c(db="regio")) # Example using the sachschluessel: Number of refugees from Afghanistan (ST423) # and Egypt (ST287) by district (Kreis) in 2022. data <- retrieve_data("12531KJ003", startyear = 2022, endyear = 2022, sachmerkmal="STAAG5", sachschluessel = "ST423, ST287", genesis=c(db='de')) ## End(Not run)
## Not run: # Retrieve values for the table 14111KJ002 which contains the # federal election results on the county level. # Assumes that user/password are stored via save_credentials() data <- retrieve_data(tablename="14111KJ002", genesis=c(db="regio") ) # ... only the values for the AfD. data <- retrieve_data(tablename="14111KJ002", sachmerkmal="PART04", sachschluessel="AFD", genesis=c(db="regio") ) # ... or only values from Saxony data <- retrieve_data(tablename="14111KJ002", regionalmerkmal="KREISE", regionalschluessel="14*", genesis=c(db="regio") ) # Limiting the number of data points is in particular important for # large tables. For example, this data request fails: data <- retrieve_data(tablename="33111GJ005", genesis=c(db='regio')) # But after limiting the request to one year, the data is returned: data <- retrieve_data(tablename="33111GJ005", genesis=c(db='regio'), startyear=2019, endyear=2019) # An alternative strategy is to only request a subset of the variables. # For example, this data request fails: data <- retrieve_data("12711GJ002", genesis=c(db="regio")) # But when requesting only one instead of all variables, the data is returned: data <- retrieve_data("12711GJ002", inhalte="BEV081", genesis=c(db="regio")) # Example using the sachschluessel: Number of refugees from Afghanistan (ST423) # and Egypt (ST287) by district (Kreis) in 2022. data <- retrieve_data("12531KJ003", startyear = 2022, endyear = 2022, sachmerkmal="STAAG5", sachschluessel = "ST423, ST287", genesis=c(db='de')) ## End(Not run)
retrieve_datalist
retrieves a list of available data tables in a series.
retrieve_datalist(tableseries, genesis = NULL, language = "de", ...)
retrieve_datalist(tableseries, genesis = NULL, language = "de", ...)
tableseries |
name of series for which tables should be retrieved. |
genesis |
to authenticate a user and set the database (see below). |
language |
retrieve information in German "de" (default) or in English "en" if available. |
... |
other arguments send to the httr::GET request. |
See the package description (wiesbaden
) for details about setting the login and database.
To retrieve a list of all available data use tableseries="*" or combine the wildcard character * with a prefix (see below for an example).
a data.frame
## Not run: # Retrieves list of available tables for the table series 14111 # which contains the federal election results. # Assumes that user/password are stored via save_credentials() d <- retrieve_datalist(tableseries="14111*", genesis=c(db="regio") ) ## End(Not run)
## Not run: # Retrieves list of available tables for the table series 14111 # which contains the federal election results. # Assumes that user/password are stored via save_credentials() d <- retrieve_datalist(tableseries="14111*", genesis=c(db="regio") ) ## End(Not run)
retrieve_metadata
retrieves meta data.
retrieve_metadata(tablename, language = "de", genesis = NULL, ...)
retrieve_metadata(tablename, language = "de", genesis = NULL, ...)
tablename |
name of the table to retrieve. |
language |
retrieve information in German "de" (default) or in English "en" if available. |
genesis |
to authenticate a user and set the database (see below). |
... |
other arguments send to the httr::GET request. |
See the package description (wiesbaden
) for details about setting the login and database.
a data.frame
.
## Not run: # Meta data contain the explanations to the variable names for the table # federal election results on the county level. # Assumes that user/password are stored via save_credentials() metadata <- retrieve_metadata(tablename="14111KJ002", genesis=c(db="regio") ) ## End(Not run)
## Not run: # Meta data contain the explanations to the variable names for the table # federal election results on the county level. # Assumes that user/password are stored via save_credentials() metadata <- retrieve_metadata(tablename="14111KJ002", genesis=c(db="regio") ) ## End(Not run)
retrieve_valuelabel
retrieves value labels for variable
retrieve_valuelabel( variablename, valuelabel = "*", genesis = NULL, language = "de", ... )
retrieve_valuelabel( variablename, valuelabel = "*", genesis = NULL, language = "de", ... )
variablename |
name of the variable |
valuelabel |
"*" (default) retrieves all value labels. |
genesis |
to authenticate a user and set the database (see below). |
language |
retrieve information in German "de" (default) or in English "en" if available. |
... |
other arguments send to the httr::GET request. |
See the package description (wiesbaden
) for details about setting the login and database.
a data.frame
.
## Not run: # Value labels contain for the variable 'PART04' in the table with the # federal election results on the county level. # Assumes that user/password are stored via save_credentials() metadata <- retrieve_valuelabel(variablename="PART04", genesis=c(db="regio") ) ## End(Not run)
## Not run: # Value labels contain for the variable 'PART04' in the table with the # federal election results on the county level. # Assumes that user/password are stored via save_credentials() metadata <- retrieve_valuelabel(variablename="PART04", genesis=c(db="regio") ) ## End(Not run)
retrieve_varinfo
retrieves further information.
retrieve_varinfo(variablename, genesis = NULL, language = "de", ...)
retrieve_varinfo(variablename, genesis = NULL, language = "de", ...)
variablename |
name of the variable |
genesis |
to authenticate a user and set the database (see below). |
language |
retrieve information in German "de" (default) or in English "en" if available. |
... |
other arguments send to the httr::GET request. |
See the package description (wiesbaden
) for details about setting the login and database.
a data.frame
.
## Not run: # Variable information 'AI2105' (Anteil der Empfänger von Arbeitslosengeld II im Alter # von 15 bis 24 Jahren an der Bevölkerung gleichen Alters) # Assumes that user/password are stored via save_credentials() metadata <- retrieve_varinfo(variablename="AI2105", genesis=c(db="regio") ) ## End(Not run)
## Not run: # Variable information 'AI2105' (Anteil der Empfänger von Arbeitslosengeld II im Alter # von 15 bis 24 Jahren an der Bevölkerung gleichen Alters) # Assumes that user/password are stored via save_credentials() metadata <- retrieve_varinfo(variablename="AI2105", genesis=c(db="regio") ) ## End(Not run)
save_credentials
saves a set of database credentials using the keyring
package.
save_credentials(db, user, password)
save_credentials(db, user, password)
db |
database name, either 'nrw', 'regio', 'de' or 'bm'. |
user |
your user name. |
password |
your password. |
User/password are stored in Keychain on macOS, Credential Store on Windows or Secret Service API on Linux. If a user/password pair for a database already exists, it is silently replaced with the new pair.
test_login
tests if the login works.
test_login(genesis = NULL, ...)
test_login(genesis = NULL, ...)
genesis |
to authenticate a user and set the database (see below). |
... |
other arguments send to the httr::GET request. |
a string
with the server return message.
## Not run: test_login(genesis=c(db="regio") ) ## End(Not run)
## Not run: test_login(genesis=c(db="regio") ) ## End(Not run)