statcodelists

The goal of statcodelists is to promote the reuse and exchange of statistical information and related metadata with making the internationally standardized SDMX code lists available for the R user. SDMX has been published as an ISO International Standard (ISO 17369). The metadata definitions, including the codelists are updated regularly according to the standard. The authoritative version of the code lists made available in this package is https://sdmx.org/?page_id=3215/.

Installation

You can install statcodelists from CRAN:

install.packages("statcodelists")

or install the development version of statcodelists like so:

devtools::install_github("antaldaniel/statcodelists")

Cross-domain concepts in the SDMX framework describe concepts relevant to many, if not all, statistical domains. SDMX recommends using these concepts whenever feasible in SDMX structures and messages to promote the reuse and exchange of statistical information and related metadata between organisations.

Code lists are predefined sets of terms from which some statistical coded concepts take their values. SDMX cross-domain code lists are used to support cross-domain concepts. The use of common code lists will help users to work even more efficiently, easing the maintenance of and reducing the need for mapping systems and interfaces delivering data and metadata to them. Therefore, a choice over code lists has a great impact on the efficiency of data sharing.

statcodelists helps the use of the latest codelist in your R workflow.

library(statcodelists)
data("codebooks")

concept	codebook	authority
Activity	CL_ACTIVITY	SDMX
Age	CL_AGE	SDMX
Civil or marital status	CL_CIVIL_STATUS	SDMX
Classification of Individual Consumption According to Purpose (COICOP)	CL_COICOP	SDMX
Classification of the Functions of Government (COFOG)	CL_COFOG	SDMX
Classification of the Outlays of Producers According to Purpose (COPP)	CL_COPP	SDMX
Classification of the Purposes of Non-Profit Institutions Serving Households COPNI	CL_COPNI	SDMX
Confidentiality status	CL_CONF_STATUS	SDMX
Currency	CL_CURRENCY	SDMX
Decimals	CL_DECIMALS	SDMX
Degree of Urbanisation	CL_DEG_URB	SDMX
Frequency	CL_FREQ	SDMX
Geographical areas	CL_AREA	SDMX
Observation status	CL_OBS_STATUS	SDMX
Occupation	CL_OCCUPATION	SDMX
Organisation concepts	CL_ORGANISATION	SDMX
Seasonal adjustment	CL_SEASONAL_ADJUST	SDMX
Sex	CL_SEX	SDMX
Time format	CL_TIME_FORMAT	SDMX
Time period – collection	CL_TIME_PER_COLLECT	SDMX
Unit multiplier	CL_UNIT_MULT	SDMX

Example: Codelist Frequency

data("CL_FREQ")

id	name	description	name_locale	description_locale
A	Annual	To be used for data collected or disseminated every year	en	en
A2	Biennial	To be used for data collected or disseminated every two years	en	en
A3	Triennial	To be used for data collected or disseminated every three years	en	en
A4	Quadrennial	To be used for data collected or disseminated every four years	en	en
A5	Quinquennial	To be used for data collected or disseminated every five years	en	en
A10	Decennial	To be used for data collected or disseminated every ten years	en	en
A20	Bidecennial	To be used for data collected or disseminated every twenty years	en	en
A30	Tridecennial	To be used for data collected or disseminated every thirty years	en	en
A_3	Three times a year	To be used for data collected or disseminated three times a year	en	en
S	Half-yearly, semester	To be used for data collected or disseminated every semester	en	en
Q	Quarterly	To be used for data collected or disseminated every quarter	en	en
M	Monthly	To be used for data collected or disseminated every month	en	en
M2	Bimonthly	To be used for data collected or disseminated every two months	en	en
M_2	Semimonthly	To be used for data collected or disseminated twice a month	en	en
M_3	Three times a month	To be used for data collected or disseminated three times a month	en	en
W	Weekly	To be used for data collected or disseminated every week	en	en
W2	Biweekly	To be used for data collected or disseminated every two weeks	en	en
W3	Triweekly	To be used for data collected or disseminated every three weeks	en	en
W4	Four-weekly	To be used for data collected or disseminated every four weeks	en	en
W_2	Semiweekly	To be used for data collected or disseminated twice a week	en	en
W_3	Three times a week	To be used for data collected or disseminated three times a week	en	en
D	Daily	To be used for data collected or disseminated every day	en	en
D_2	Twice a day	To be used for data collected or disseminated twice a day	en	en
H	Hourly	To be used for data collected or disseminated every hour	en	en
H2	Bihourly	To be used for data collected or disseminated every two hours	en	en
H3	Trihourly	To be used for data collected or disseminated every three hours	en	en
B	Daily – business week	Similar to “daily”, however there are no observations for Saturdays and Sundays (so, neither “missing values” nor “numeric values” should be provided for Saturday and Sunday)	en	en
N	Minutely	While N denotes “minutely”, usually, there may be no observations every minute (for several series the frequency is usually “irregular” within a day/days). And though observations may be sparse (not collected or disseminated every minute), missing values do not need to be given for the minutes when no observations exist: in any case the time stamp determines when an observation is observed	en	en
I	Irregular	To be used with irregular time series that stores data for a sequence of arbitrary timepoints. Irregular time series are appropriate when the data arrives unpredictably, such as when the application records every stock trade or when random events are recorded (the interval between each element can be a different length)	en	en
OA	Occasional annual	The event occurs occasionally with an infrequent update that could span from 1 year to several years between events. It implies a survey that experiences a gap for several years prior to the next survey update (this is commonly linked to funding available to run a specific survey (i.e. health surveys), whereas a regular annual survey refers typically to ‘programs’ that are funded regularly and fall under the Statistics Act, and therefore never experience a gap)	en	en
OM	Occasional monthly	The event occurs occasionally with an infrequent update that could span from 1 month to several months between events. It implies a survey that experiences a gap for several months prior to the next survey update	en	en
_O	Other	To be used when the qualitative or quantitative values that a variable takes in a data set is associated to multiple occurrences with frequency other than the already defined ones (for example every 5 hours and 32 minutes etc.)	en	en
_U	Unspecified	To be used when a set of values are reported within a time range but not associated to sub ranges. Often this could happen in case of missing or sparse information. (Let’s say we have two observations for 2020 but we do not know if they are part of a monthly reporting or quarterly reporting)	en	en
_Z	Not applicable	To be used when the qualitative or quantitative values that a variable takes in a data set is not associated to multiple occurrences (only single occurrence exists) one can use the _Z as frequency	en	en

Further recommended code values for expressing general statistical concepts like not applicable, etc., can be found in section Generic codes of the Guidelines for the creation and management of SDMX Cross-Domain Code Lists.

For further codelists used by reliable statistical agency but not harmonized on SDMX level please consult the SDMX Global Registry Codelists page.

The creator of this package is not affiliated with SDMX, and this package was has not been endorsed by SDMX.

Code of Conduct

Please note that the statcodelists project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.