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Changes for page 13 Structure Mapping

Last modified by Artur on 2025/09/10 11:19
From version 4.2
edited by Helena
on 2025/06/16 14:21
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To version 4.4
edited by Helena
on 2025/06/16 14:22
Change comment: There is no comment for this version

Summary

Details

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1 +Component|Data set|Dimension|Observation value|Series key|Statistical data and metadata exchange
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4 4  
5 5  == 13.1 Introduction ==
6 6  
7 -The purpose of SDMX structure mapping is to transform datasets from one dimensionality to another. In practice, this means that the input and output datasets conform to different Data Structure Definition.
7 +The purpose of [[SDMX>>doc:sdmx:Glossary.Statistical data and metadata exchange.WebHome]] structure mapping is to transform [[datasets>>doc:sdmx:Glossary.Data set.WebHome]] from one dimensionality to another. In practice, this means that the input and output [[datasets>>doc:sdmx:Glossary.Data set.WebHome]] conform to different Data Structure Definition.
8 8  
9 -Structure mapping does not alter the observation values and is not intended to perform any aggregations or calculations.
9 +Structure mapping does not alter the [[observation values>>doc:sdmx:Glossary.Observation value.WebHome]] and is not intended to perform any aggregations or calculations.
10 10  
11 -An input series maps to:
11 +An input series (% style="color:#e74c3c" %)maps(%%) to:
12 12  
13 13  1. Exactly one output series; or
14 -1. Multiple output series with different Series Keys, but the same observation values; or
15 -1. Zero output series where no source rule matches the input Component values.
14 +1. Multiple output series with different [[Series Keys>>doc:sdmx:Glossary.Series key.WebHome]], but the same [[observation values>>doc:sdmx:Glossary.Observation value.WebHome]]; or
15 +1. Zero output series where no source rule matches the input [[Component>>doc:sdmx:Glossary.Component.WebHome]] values.
16 16  
17 17  Typical use cases include:
18 18  
19 19  * Transforming received data into a common internal structure;
20 20  * Transforming reported data into the data collector's preferred structure;
21 -* Transforming unidimensional datasets{{footnote}}Unidimensional datasets are those with a single 'indicator' or 'series code' dimension.{{/footnote}} to multi-dimensional; and
22 -* Transforming internal datasets with a complex structure to a simpler structure with fewer dimensions suitable for dissemination.
21 +* Transforming unidimensional [[datasets>>doc:sdmx:Glossary.Data set.WebHome]]{{footnote}}Unidimensional datasets are those with a single 'indicator' or 'series code' dimension.{{/footnote}} to multi-dimensional; and
22 +* Transforming internal [[datasets>>doc:sdmx:Glossary.Data set.WebHome]] with a complex structure to a simpler structure with fewer [[dimensions>>doc:sdmx:Glossary.Dimension.WebHome]] suitable for dissemination.
23 23  
24 24  == 13.2 1-1 structure maps ==
25 25  
26 -1-1 (pronounced 'one to one') mappings support the simple use case where the value of a Component in the source structure is translated to a different value in the target, usually where different classification schemes are used for the same Concept.
26 +1-1 (pronounced 'one to one') mappings support the simple use case where the value of a [[Component>>doc:sdmx:Glossary.Component.WebHome]] in the source structure is translated to a different value in the target, usually where different classification schemes are used for the same Concept.
27 27  
28 -In the example below, ISO 2-character country codes are mapped to their ISO 3character equivalent.
28 +In the example below, ISO 2-character country [[codes>>doc:sdmx:Glossary.Code.WebHome]] are (% style="color:#e74c3c" %)mapped(%%) to their ISO 3character equivalent.
29 29  
30 -|Country|Alpha-2 code|Alpha-3 code
31 -|Afghanistan|AF|AFG
32 -|Albania|AL|ALB
33 -|Algeria|DZ|DZA
34 -|American Samoa|AS|ASM
35 -|Andorra|AD|AND
36 -|etc…| |
30 +(% style="width:585.294px" %)
31 +|(% style="width:173px" %)**Country**|(% style="width:180px" %)**Alpha-2 code**|(% style="width:229px" %)**Alpha-3 code**
32 +|(% style="width:173px" %)Afghanistan|(% style="width:180px" %)AF|(% style="width:229px" %)AFG
33 +|(% style="width:173px" %)Albania|(% style="width:180px" %)AL|(% style="width:229px" %)ALB
34 +|(% style="width:173px" %)Algeria|(% style="width:180px" %)DZ|(% style="width:229px" %)DZA
35 +|(% style="width:173px" %)American Samoa|(% style="width:180px" %)AS|(% style="width:229px" %)ASM
36 +|(% style="width:173px" %)Andorra|(% style="width:180px" %)AD|(% style="width:229px" %)AND
37 +|(% style="width:173px" %)etc…|(% style="width:180px" %) |(% style="width:229px" %)
37 37  
38 38  Different source values can also map to the same target value, for example when deriving regions from country codes.
39 39