To separate out algorithmic logic from implementation, we will keep the variable list and details about the variables as a dataset within the package.
It will help as a validation check for defensive programming techniques as well as for building a test dataset to run tests on as well as an example simulated dataset, in addition to providing a table/list that users can use when applying to DST.
Create this as a csv file with the following headers:
register name
register abbreviation
original variable name
Danish description
English description
data type
expected data range/values (or something similar, to help with simulating the dataset)
threshold or conditional logic for variable in the algorithm (not sure if this should be here or in another location)
To separate out algorithmic logic from implementation, we will keep the variable list and details about the variables as a dataset within the package.
It will help as a validation check for defensive programming techniques as well as for building a test dataset to run tests on as well as an example simulated dataset, in addition to providing a table/list that users can use when applying to DST.
Create this as a csv file with the following headers: