Validations

Validations on SDMXthon are applied to the data in a Dataset and the metadata (only on parsing).

Data validations

sdmxthon.parsers.data_validations.validate_data()

Data validations stands for the next schema:

Data validations
Code	Description
SS01	Check if all dimensions of the DSD exist in the dataframe
SS02	Check if the measure code exists in the dataframe
SS03	Check if all mandatory attributes exist in the dataframe
SS04	Check if an attribute/dimension value that is associated to a Codelist is valid
SS05	Check that all dimensions have values for every record of a dataframe
SS06	Check that all mandatory attributes have values for every record of a dataset
SS07	Check if two datapoints have the same values
SS08	Check that the value inputted is compliant with Facets for the referred Representation
SS09	Check if the value is compliant with the desired Time Format
SS10	Check if an attribute/dimension value associated to a Cube Region Constraint is valid
SS11	Check if each row is compliant with the Series Constraints

sdmxthon.parsers.metadata_read.create_metadata()

Metadata validations stands for the next schema:

Metadata validations
Code	Description
MS01	Check that the metadata file contains at least one DSD
MS02	Check that the metadata file contains related codelists
MS03	Check if the DSD metadata file contains the concepts needed for each DSD
MS04	Check if the dimensions in Attribute Relationship are in DimensionList in DSD file
MS05	Check if the primary measure in Attribute Relationship is in MeasureList in DSD file
MS06	Check if all DSDs present in the metadata file are unique
MS07	Check if all Concept Scheme needed are present
MX01	Check if minimum structural requirements for DSD xml are satisfied
MX02	Check if every DSD has primary measure defined