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Add support for SDMX #27
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GregorDeCillia
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Mar 29, 2023
this is the first step to resolving #27 by adding a function that creates sc_table() like objects based on sdmx archives The sdmx format contains all metadata that is necessary for STATcubeR to reuse the existing $tabulate() workflow and this first version already provides support for various features via the base class (sc_data) - $tabulate() to aggregate data - $total_codes() to set/unset total codes - $recoder to recode datasets (change labels) change codes, toggle visibility of elements, reorder elements, etc. - importing german and english labels simultaniously (both languages are included in a zip download) and allowing to swhitch between them using $language<-(). New features - sdmx arcives provide a $parent column in the $fields() table which are used to represent hierarchical classifications. Previously, this was only possible with od_table() There are still some improvements. See the issue #27 for more details - properly parse time variables - currently they are treated as generic categories. - parse element annotations (detailed descriptions for classification elements) and add them to $field()$de_desc just like with OGD dataset - parse value annotations (see #39) - provide a print/fromat method - add a reasonable logic for total codes that takes the parent codes into account - fill meta$measures$fun and $meta$measures$precision based on the sdmx metadata - modify very long codes which use the @-symbol (probably for escapes) - extend documentation - possibly check SuperCROSS compability
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It would be very useful if
{STATcubeR}
could support "SDMX archives" which are generated from STATcube. sdmx archives consist of a metadata component called the "structure definition" and a data part which contains the actual cell values. In order to support that, we would need to add parsers for the xml-based data format.The generated archives are more or less compatible with the CRAN package rsdmx: https://cran.r-project.org/package=rsdmx, which could be used as a starting point to develop parsers.
Possible usuage: parser function
sdmx_table()
which generates an object of classsc_data
(the parent class for OGD and STATcube-API datasets)There are several advantages of the sdmx format compared to the API
The last point is probably the most compelling one since a direct interface to SuperCROSS would be very helpful for the internal workflows of statistics austria
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