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This issue creates a reference number for the creation of a DSD parser which can be used for naming an issue branch for the topic.
I'd sugggest to make this a function that creates a list of dataframes for every codelist contained in the DSD file, wherein each dataframe has a code and description column.
At a later iteration this object can be assigned to a slot of an S4 object representing the DSD (could be named SDMXdsd, inheriting from the SDMX class) which in itself could then be used to create a class that compounds the header information, the codelists and the actual data as dataframe. However, these thoughts should probably be detailed in another issue.
The text was updated successfully, but these errors were encountered:
I've yet some codes for parsing a codelist, and list of codelist through dsd parsers, coming from the initial package...I have to check these codes, then integrate them into the new S4 package architecture, but i will proceed step by step, starting with single codelists, and then datastructure handling multiple codelists.
A modular approach makes perfect sense. I have been working in the same direction. For me right now this is an exercise to get "up to speed" with the XML package. After that I will have to get "up to speed" with the S4paradigm. All of which will take time, and there won't be tons of half-baked pull requests.
Hi, i've worked a bit on refactoring the model, adding the base "structure" type. #23 and #24 prepare the S4 basis and other stuff for implementing more parsers, including DSD & codelists...
This issue creates a reference number for the creation of a DSD parser which can be used for naming an issue branch for the topic.
I'd sugggest to make this a function that creates a list of dataframes for every codelist contained in the DSD file, wherein each dataframe has a
code
anddescription
column.At a later iteration this object can be assigned to a slot of an
S4
object representing the DSD (could be named SDMXdsd, inheriting from the SDMX class) which in itself could then be used to create a class that compounds the header information, the codelists and the actual data as dataframe. However, these thoughts should probably be detailed in another issue.The text was updated successfully, but these errors were encountered: