Skip to Content

Changes for page 13 Structure Mapping

Last modified by Helena on 2025/09/10 11:19
From version 11.6
edited by Helena
on 2025/05/16 13:03
Change comment: There is no comment for this version
To version 13.3
edited by Helena
on 2025/05/17 00:40
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -4,28 +4,28 @@
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:xwiki:Glossary.Statistical data and metadata exchange.WebHome]] structure mapping is to transform [[datasets>>doc:xwiki:Glossary.Data set.WebHome]] from one dimensionality to another. In practice, this means that the input and output [[datasets>>doc:xwiki: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:xwiki: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:#2ecc71" %)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:xwiki:Glossary.Series key.WebHome]], but the same [[observation values>>doc:xwiki:Glossary.Observation value.WebHome]]; or
15 +1. Zero output series where no source rule matches the input [[Component>>doc:xwiki: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:xwiki: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:xwiki:Glossary.Data set.WebHome]] with a complex structure to a simpler structure with fewer [[dimensions>>doc:xwiki: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:xwiki: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:xwiki:Glossary.Code.WebHome]] are (% style="color:#2ecc71" %)mapped(%%) to their ISO 3character equivalent.
29 29  
30 30  (% style="width:666.294px" %)
31 31  |(% style="width:217px" %)**Country**|(% style="width:251px" %)**Alpha-2 code**|(% style="width:195px" %)**Alpha-3 code**
... ... @@ -336,11 +336,13 @@
336 336  
337 337  [[image:SDMX 3-0-0 SECTION 6 FINAL-1.0_en_295af259.jpg||height="265" width="477"]]
338 338  
339 -==== Figure 24 showing the component map mapping the SOURCE_DATE Dimension to the TIME_PERIOD dimension with the additional information on the component map to describe the time format ====
339 +(% class="wikigeneratedid" id="HFigure24showingthecomponentmapmappingtheSOURCE_DATEDimensiontotheTIME_PERIODdimensionwiththeadditionalinformationonthecomponentmaptodescribethetimeformat" %)
340 +**Figure 24 showing the component map mapping the SOURCE_DATE Dimension to the TIME_PERIOD dimension with the additional information on the component map to describe the time format**
340 340  
341 341  [[image:SDMX 3-0-0 SECTION 6 FINAL-1.0_en_a3215c79.jpg||height="265" width="480"]]
342 342  
343 -==== Figure 25 showing an input date format, whose output frequency is derived from the output value of the FREQ Dimension ====
344 +(% class="wikigeneratedid" id="HFigure25showinganinputdateformat2CwhoseoutputfrequencyisderivedfromtheoutputvalueoftheFREQDimension" %)
345 +**Figure 25 showing an input date format, whose output frequency is derived from the output value of the FREQ Dimension**
344 344  
345 345  === 13.7.2 Numerical based datetime ===
346 346  
... ... @@ -440,7 +440,7 @@
440 440  Validity Period start period=2010
441 441  )))|(% style="width:328px" %)(((
442 442  Set
443 -OBS_CONF=F** **
445 +OBS_CONF=F
444 444  )))
445 445  
446 446  In Rule 1, start period resolves to the start of the 2007 period (2007-01-01T00:00:00), and the end period resolves to the very end of 2009 (2009-12-31T23:59:59). The rule will hold true regardless of the input data frequency. Any observations reporting data for the Indicator XULADS that fall into that time range will have an OBS_CONF value of F.
... ... @@ -543,19 +543,15 @@
543 543  )))
544 544  
545 545  (% style="width:892.294px" %)
546 -|(% style="width:165px" %)**Source Value**|(% style="width:133px" %)**Source Mapping**|(% style="width:191px" %)**Target**|(% style="width:264px" %)**Frequency**|(% style="width:167px" %)**Output**
547 -|(% style="width:165px" %)1589808220|(% style="width:133px" %)1970|(% style="width:191px" %)millisecond|(% style="width:264px" %)1981-07-18 (when FREQ=D)|(% style="width:167px" %)2020-05
548 +|(% style="width:165px" %)**Source Value**|(% style="width:133px" %)**Source Mapping**|(% style="width:191px" %)**Target Dimension**|(% style="width:264px" %)**Frequency**|(% style="width:167px" %)**Output**
549 +|(% style="width:165px" %)1981|(% style="width:133px" %)yyyy|(% style="width:191px" %)D – End of Period|(% style="width:264px" %) |(% style="width:167px" %)1981-12-31
548 548  
549 -Dimension
550 -
551 - 1981 yyyy D – End of Period 1981-12-31
552 -
553 553  When the start of year is April 1^^st^^ the Structure Map has YearStart=04-01:
554 554  
555 -Source Value Source Mapping Target Frequency Output
553 +(% style="width:892.294px" %)
554 +|(% style="width:165px" %)**Source Value**|(% style="width:133px" %)**Source Mapping**|(% style="width:191px" %)**Target Dimension**|(% style="width:264px" %)**Frequency**|(% style="width:167px" %)**Output**
555 +|(% style="width:165px" %)1981|(% style="width:133px" %)yyyy|(% style="width:191px" %)D – End of Period|(% style="width:264px" %) |(% style="width:167px" %)1982-03-31
556 556  
557 -Dimension
557 +----
558 558  
559 -1981 yyyy D – End of Period 1982-03-31
560 -
561 561  {{putFootnotes/}}