[DDI-SRG] ncube discussion?
Wendy Thomas
wlt at pop.umn.edu
Fri Dec 14 13:05:41 EST 2007
Ok...the problem is that you have put all measures into a single data
item. There is one data item per cell and it can contain multiple measures
of different types.
So what you really SHOULD have is attached. However, DataItem needs to be
repeatable which it is currently NOT. That's the bug. I've filed it.
Wendy
On Thu, 13 Dec 2007, Joachim Wackerow wrote:
> Wendy,
>
> I think, this is not really the case in the current XML Schema. See an
> excerpt of the attached XML sample:
>
> <nci:DataItem>
> <nci:NCubeInstanceReference>
> <r:ID>NCube</r:ID>
> </nci:NCubeInstanceReference>
> <!-- - - - - - -->
> <nci:MeasureValue>
> <nci:MeasureReference>
> <r:ID>Measure</r:ID>
> </nci:MeasureReference>
> <nci:Value>670</nci:Value>
> </nci:MeasureValue>
> <!-- - - - - - -->
> <nci:MeasureValue>
> <nci:MeasureReference>
> <r:ID>Measure</r:ID>
> </nci:MeasureReference>
> <nci:Value>1442</nci:Value>
> </nci:MeasureValue>
>
> If I understand your description correctly it is exactly the same as my
> proposal for the improvements for sparse matrices. But again this is not
> possible in the current scheme
>
> With the totals and subtotals I'm looking forward to your examples.
>
> Achim
>
> Wendy Thomas wrote:
>> Achim
>>
>> The notation for identifying the coordinate value is to state both its rank
>> and value. So in essense it doesn't matter to the system what is changing
>> the fastest:
>>
>> dimension rank 1 SEX (2 categories)
>> dimension rank 2 AGE (3 categories)
>> dimension rank 3 MARITAL STATUS (4 categories)
>>
>>
>> I could list my values in any order in the storage structure and you could
>> still place the value in its appropriate cell
>>
>> rank 1 dmnsValue 2
>> rank 2 dmnsValue 1
>> rank 3 dmnsValue 4
>> cell value 1889
>> measure count
>> measure unit persons
>>
>> Would be 1889 persons of SEX=2, AGE=1, MARITAL STATUS=4
>>
>> There is no assumption about the order following a "standard matrix order"
>> if one made that assuption then the order would be
>>
>>
>> 1 1 1
>> 1 1 2
>> 1 1 3
>> 1 1 4
>> 1 2 1
>> 1 2 1
>> 1 2 2
>> 1 2 3
>> 1 2 4
>> 2 1 1
>> etc
>>
>> While that assumption is convenient for automating the creation of the old
>> locMap (its easier to restructure the data than hand create the metadata).
>> It was never an assumption. I don't believe we made that assumption in 3.0
>> (but I will verify this).
>>
>> We talked in 2.1 about using the NULL as a special case for hierarchical
>> categories. However, in many cases we had predetermined values for the
>> codes (like occupation codes) where the occupation code was stored as a
>> field and needed to be referenced to determine the value of that particualr
>> dimension. In this case there were both marginal totals and intermediate
>> totals. With the hierarchy levels and description of relationships of those
>> levels in the code scheme the subtotals and totals are clear.
>>
>> Also you can define the sub-region of the cube (for example column totals,
>> row totals, column/row total and assign them an idivdual measurement unit
>> (since this is described by a variable you can also provide the derivation
>> or calculation process for obtaining it).
>>
>> Wendy
>>
>>
>>
>> On Thu, 13 Dec 2007, Joachim Wackerow wrote:
>>
>>> Wendy,
>>>
>>> OK, then I'm looking forward to your examples and we continue the
>>> discussion in January.
>>>
>>> The example tables are available at:
>>> Counts
>>> http://exanda.zuma-mannheim.de/Study_Wohlfahrtssurvey/Independent_SCHULAB/Dependent_ALTER1/Group_GESCHL/Weight_Weight/OutputType_Value/FileType_HTML/Trivariate.html
>>> Row percentage
>>> http://exanda.zuma-mannheim.de/Study_Wohlfahrtssurvey/Independent_SCHULAB/Dependent_ALTER1/Group_GESCHL/Weight_Weight/OutputType_RowPercent/FileType_HTML/Trivariate.html
>>>
>>> I'm assuming that count and row percentage would be two different measures
>>> and weighted counts a third one.
>>>
>>> I have still difficulties to understand how the marginal sums can be
>>> represented. I don't think it is a matter of the category scheme. A sum
>>> like "1938" in the first table for "18 bis 30 Jahre" (1) and "männlich"
>>> (1) is dependent from the other two variables. Actually it is a cell of a
>>> two-dimensional cube "Geschlecht" by "Alter". Perhaps these marginal sums
>>> should be represented as an additional two-dimensional ncube?
>>>
>>> In OLAP cubes generated by database systems this sum would be represented
>>> by an additional record with the dimensions 1,1,NULL. NULL as a null value
>>> with the special meaning in an ncube, that this represents a marginal sum.
>>> So the overall count of men in the upper table "8249" would be represented
>>> as 1,NULL,NULL.
>>>
>>> Perhaps we can use this approach also in DDI? NULL or something similar
>>> would have been to be defined with this special meaning in a ncube. This
>>> is different to a missing value. In a specific cell a value can be
>>> missing, that would be a missing value in the measure (which would be
>>> represented in a database system also as a NULL). A NULL value in the
>>> sense above is limited to the dimensions. With this approach a rollup
>>> (OLAP talk) in every dimension would be possible.
>>>
>>> Attribute is just a string, so everything can stay there. This is no
>>> machine-actionable description for the fact, if the table is weighted or
>>> not, and no reference to a weight variable can be made (the inclusion of
>>> a weight variable can make sense in a structured ncube/table).
>>>
>>> The type of the measure is described by the label of the measure
>>> variable in logicalproduct or by the related 'ConceptReference'. I think
>>> it would make sense to describe it by a controlled vocabulary like for
>>> category statistics.
>>>
>>> The order of the measure values should be documented well. Defining
>>> "Geschlecht" as dimension 1, "Schulabschluss" as dimension 2, "Alter" as
>>> dimension 3 is not enough. The documentation should say that the dimension
>>> 1 is changing as slowest, otherwise the order is not defined clear enough
>>> for an application.
>>>
>>> Explicit example from the first table:
>>> 1,1,1,670
>>> 1,1,2,1442
>>> 1,1,3,1238
>>> 1,1,4,769
>>> 1,2,1,696
>>> 1,2,2,950
>>> 1,2,3,370
>>> 1,2,4,205
>>> 1,3,1,572
>>> 1,3,2,753
>>> 1,3,3,378
>>> 1,3,4,206
>>>
>>> Implicit example, how it would be represented in DDI, assuming the
>>> dimension with the highest rank is changing the quickest.
>>> 670
>>> 1442
>>> 1238
>>> 769
>>> 696
>>> 950
>>> 370
>>> 205
>>> 572
>>> 753
>>> 378
>>> 206
>>>
>>> Assuming the dimension with rank 1 is changing the quickest, the above
>>> representation would result in nonsense.
>>>
>>> Have a good time until Januar. I'm going with Ingrid to the Alps starting
>>> at Saturday until the end of the year.
>>>
>>> Best wishes, Achim
>>>
>>> Wendy Thomas wrote:
>>>> Achim
>>>>
>>>> I think it would be more useful after I've done the examples. Right now
>>>> we're going on my memory. Sorry I cut out before you got a chance to say
>>>> hang on. I have a cold and really needed to blow my nose!
>>>>
>>>> I've got a stack of ddi xml I'm working on and trying to wedge in some
>>>> time at work to do this. It's a bit hectic there right now (finals) but
>>>> seems to slacking off so there is hope.
>>>>
>>>> Wendy
>>>>
>>>> On Thu, 13 Dec 2007, Joachim Wackerow wrote:
>>>>
>>>>> Wendy,
>>>>>
>>>>> you dropped off? I tried to discuss further the ncube stuff. I think it
>>>>> is possible without Arofan.
>>>>>
>>>>> Should we phone or should we continue in January?
>>>>>
>>>>> Achim
>>>>>
>>>>
>>>> Wendy L. Thomas Phone: +1 612.624.4389
>>>> Data Access Core Director Fax: +1 612.626.8375
>>>> Minnesota Population Center Email: wlt at pop.umn.edu
>>>> University of Minnesota
>>>> 50 Willey Hall
>>>> 225 19th Avenue South
>>>> Minneapolis, MN 55455
>>>
>>
>> Wendy L. Thomas Phone: +1 612.624.4389
>> Data Access Core Director Fax: +1 612.626.8375
>> Minnesota Population Center Email: wlt at pop.umn.edu
>> University of Minnesota
>> 50 Willey Hall
>> 225 19th Avenue South
>> Minneapolis, MN 55455
>
>
> --
> GESIS - German Social Science Infrastructure Services
> http://www.gesis.org/en/
>
Wendy L. Thomas Phone: +1 612.624.4389
Data Access Core Director Fax: +1 612.626.8375
Minnesota Population Center Email: wlt at pop.umn.edu
University of Minnesota
50 Willey Hall
225 19th Avenue South
Minneapolis, MN 55455
-------------- next part --------------
<?xml version="1.0" encoding="UTF-8"?>
<ddi:DDIInstance xsi:schemaLocation="ddi:instance:3_0_CR2 instance.xsd" xmlns:l="ddi:logicalproduct:3_0_CR2" xmlns:ddi="ddi:instance:3_0_CR2" xmlns:nci="ddi:physicaldataproduct/ncube/inline:3_0_CR2" xmlns:pd="ddi:physicaldataproduct:3_0_CR2" xmlns:s="ddi:studyunit:3_0_CR2" xmlns:r="ddi:reusable:3_0_CR2" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<ddi:Identifier type="Maintainable">
<r:ID>German_Welfare_Survey_NCube_Inline</r:ID>
</ddi:Identifier>
<!-- - - - - - - - - - - -->
<s:StudyUnit>
<s:Identifier>
<r:ID>German_Welfare_Survey</r:ID>
</s:Identifier>
<r:Citation>
<r:Title>German Welfare Survey</r:Title>
</r:Citation>
<s:Abstract>
<r:Identifier>
<r:ID>Abstract</r:ID>
</r:Identifier>
<r:Content>The Welfare Survey is a representative survey which was specifically designed to measure individual welfare and perceived quality of life. It is designed to observe the development of objective living conditions and subjective well-being in different life domains. It does so by analysing the connections between suitable indicator-variables for these conditions and by focusing on their development over time. The Welfare Survey thus offers a database which is particularly suited for two tasks: to analyse welfare disparities and to observe the adjustment of living conditions in West and East Germany.</r:Content>
</s:Abstract>
<r:UniverseReference>
<r:ID>Universe</r:ID>
</r:UniverseReference>
<s:Purpose>
<r:Identifier>
<r:ID>Purpose</r:ID>
</r:Identifier>
<r:Content/>
</s:Purpose>
<!-- - - - - - - - - - - -->
<l:NCubeLogicalProduct>
<l:Identifier>
<r:ID>NCubeLogicalProduct</r:ID>
</l:Identifier>
<!-- - - - - - - - - - - -->
<l:CategoryScheme>
<l:Identifier>
<r:ID>CategoryScheme_GESCHL</r:ID>
</l:Identifier>
<!-- - - - - - -->
<l:Category>
<l:Identifier>
<r:ID>Category_GESCHL_1</r:ID>
</l:Identifier>
<r:Label>männlich</r:Label>
</l:Category>
<!-- - - - - - -->
<l:Category>
<l:Identifier>
<r:ID>Category_GESCHL_2</r:ID>
</l:Identifier>
<r:Label>weiblich</r:Label>
</l:Category>
</l:CategoryScheme>
<!-- - - - - - - - - - - -->
<l:CategoryScheme>
<l:Identifier>
<r:ID>CategoryScheme_ALTER1</r:ID>
</l:Identifier>
<!-- - - - - - -->
<l:Category>
<l:Identifier>
<r:ID>Category_ALTER1_1</r:ID>
</l:Identifier>
<r:Label>18 bis 30 Jahre</r:Label>
</l:Category>
<!-- - - - - - -->
<l:Category>
<l:Identifier>
<r:ID>Category_ALTER1_2</r:ID>
</l:Identifier>
<r:Label>31 bis 50 Jahre</r:Label>
</l:Category>
<!-- - - - - - -->
<l:Category>
<l:Identifier>
<r:ID>Category_ALTER1_3</r:ID>
</l:Identifier>
<r:Label>51 bis 65 Jahre</r:Label>
</l:Category>
<!-- - - - - - -->
<l:Category>
<l:Identifier>
<r:ID>Category_ALTER1_4</r:ID>
</l:Identifier>
<r:Label>66 Jahre und älter</r:Label>
</l:Category>
<!-- - - - - - -->
</l:CategoryScheme>
<!-- - - - - - - - - - - -->
<l:CategoryScheme>
<l:Identifier>
<r:ID>CategoryScheme_SCHULAB</r:ID>
</l:Identifier>
<!-- - - - - - -->
<l:Category>
<l:Identifier>
<r:ID>Category_SCHULAB_1</r:ID>
</l:Identifier>
<r:Label>Volks-/Hauptschulabschluss</r:Label>
</l:Category>
<!-- - - - - - -->
<l:Category>
<l:Identifier>
<r:ID>Category_SCHULAB_2</r:ID>
</l:Identifier>
<r:Label>Mittlere Reife</r:Label>
</l:Category>
<!-- - - - - - -->
<l:Category>
<l:Identifier>
<r:ID>Category_SCHULAB_3</r:ID>
</l:Identifier>
<r:Label>FH-/Hochschulabschluss</r:Label>
</l:Category>
<!-- - - - - - -->
</l:CategoryScheme>
<!-- - - - - - - - - - - -->
<l:CodeScheme>
<l:Identifier>
<r:ID>CodeScheme_GESCHL</r:ID>
</l:Identifier>
<l:CategorySchemeReference>
<r:ID>CategoryScheme_GESCHL</r:ID>
</l:CategorySchemeReference>
<!-- - - - - - -->
<l:Code>
<l:CategoryReference>
<r:ID>Category_GESCHL_1</r:ID>
</l:CategoryReference>
<l:Value>1</l:Value>
</l:Code>
<!-- - - - - - -->
<l:Code>
<l:CategoryReference>
<r:ID>Category_GESCHL_2</r:ID>
</l:CategoryReference>
<l:Value>2</l:Value>
</l:Code>
<!-- - - - - - -->
</l:CodeScheme>
<!-- - - - - - - - - - - -->
<l:CodeScheme>
<l:Identifier>
<r:ID>CodeScheme_ALTER1</r:ID>
</l:Identifier>
<l:CategorySchemeReference>
<r:ID>CategoryScheme_ALTER1</r:ID>
</l:CategorySchemeReference>
<!-- - - - - - -->
<l:Code>
<l:CategoryReference>
<r:ID>Category_ALTER1_1</r:ID>
</l:CategoryReference>
<l:Value>1</l:Value>
</l:Code>
<!-- - - - - - -->
<l:Code>
<l:CategoryReference>
<r:ID>Category_ALTER1_2</r:ID>
</l:CategoryReference>
<l:Value>2</l:Value>
</l:Code>
<!-- - - - - - -->
<l:Code>
<l:CategoryReference>
<r:ID>Category_ALTER1_3</r:ID>
</l:CategoryReference>
<l:Value>3</l:Value>
</l:Code>
<!-- - - - - - -->
<l:Code>
<l:CategoryReference>
<r:ID>Category_ALTER1_4</r:ID>
</l:CategoryReference>
<l:Value>4</l:Value>
</l:Code>
<!-- - - - - - -->
</l:CodeScheme>
<!-- - - - - - - - - - - -->
<l:CodeScheme>
<l:Identifier>
<r:ID>CodeScheme_SCHULAB</r:ID>
</l:Identifier>
<l:CategorySchemeReference>
<r:ID>CategoryScheme_SCHULAB</r:ID>
</l:CategorySchemeReference>
<!-- - - - - - -->
<l:Code>
<l:CategoryReference>
<r:ID>Category_SCHULAB_1</r:ID>
</l:CategoryReference>
<l:Value>1</l:Value>
</l:Code>
<!-- - - - - - -->
<l:Code>
<l:CategoryReference>
<r:ID>Category_SCHULAB_2</r:ID>
</l:CategoryReference>
<l:Value>2</l:Value>
</l:Code>
<!-- - - - - - -->
<l:Code>
<l:CategoryReference>
<r:ID>Category_SCHULAB_3</r:ID>
</l:CategoryReference>
<l:Value>3</l:Value>
</l:Code>
<!-- - - - - - -->
</l:CodeScheme>
<!-- - - - - - - - - - - -->
<l:VariableScheme>
<l:Identifier>
<r:ID>VariableScheme</r:ID>
</l:Identifier>
<!-- - - - - - -->
<l:Variable>
<l:Identifier>
<r:ID>Variable_GESCHL</r:ID>
<r:Name>GESCHL</r:Name>
</l:Identifier>
<r:Label>Geschlecht</r:Label>
<l:Representation>
<l:CodeRepresentation>
<r:CodeSchemeReference>
<r:ID>CodeScheme_GESCHL</r:ID>
</r:CodeSchemeReference>
</l:CodeRepresentation>
</l:Representation>
</l:Variable>
<!-- - - - - - -->
<l:Variable>
<l:Identifier>
<r:ID>Variable_ALTER1</r:ID>
<r:Name>ALTER1</r:Name>
</l:Identifier>
<r:Label>Alter in 4 Gruppierungen</r:Label>
<l:Representation>
<l:CodeRepresentation>
<r:CodeSchemeReference>
<r:ID>CodeScheme_ALTER1</r:ID>
</r:CodeSchemeReference>
</l:CodeRepresentation>
</l:Representation>
</l:Variable>
<!-- - - - - - -->
<l:Variable>
<l:Identifier>
<r:ID>Variable_SCHULAB</r:ID>
<r:Name>SCHULAB</r:Name>
</l:Identifier>
<r:Label>Schulabschluss</r:Label>
<l:Representation>
<l:CodeRepresentation>
<r:CodeSchemeReference>
<r:ID>CodeScheme_SCHULAB</r:ID>
</r:CodeSchemeReference>
</l:CodeRepresentation>
</l:Representation>
</l:Variable>
<!-- - - - - - -->
<l:Variable>
<l:Identifier>
<r:ID>Variable_Measure</r:ID>
<r:Name>N</r:Name>
</l:Identifier>
<r:Label>Frequency</r:Label>
<l:VariableDefinition>unweighted frequency</l:VariableDefinition>
</l:Variable>
<!-- - - - - - -->
</l:VariableScheme>
<!-- - - - - - - - - - - -->
<l:NCube dimensionCount="3" cellCount="24">
<l:Identifier>
<r:ID>NCube</r:ID>
</l:Identifier>
<!-- - - - - - -->
<l:Dimension rank="1">
<l:VariableReference>
<r:ID>Variable_ALTER1</r:ID>
</l:VariableReference>
</l:Dimension>
<!-- - - - - - -->
<l:Dimension rank="2">
<l:VariableReference>
<r:ID>Variable_SCHULAB</r:ID>
</l:VariableReference>
</l:Dimension>
<!-- - - - - - -->
<l:Dimension rank="3">
<l:VariableReference>
<r:ID>Variable_GESCHL</r:ID>
</l:VariableReference>
</l:Dimension>
<!-- - - - - - -->
<l:Measure>
<l:Identifier>
<r:ID>Measure</r:ID>
</l:Identifier>
<l:VariableReference>
<r:ID>Variable_Measure</r:ID>
</l:VariableReference>
</l:Measure>
<!-- - - - - - -->
</l:NCube>
</l:NCubeLogicalProduct>
<!-- - - - - - - - - - - -->
<pd:PhysicalDataProduct>
<pd:Identifier>
<r:ID>ID</r:ID>
</pd:Identifier>
<pd:LogicalProductReference>
<r:ID>NCubeLogicalProduct</r:ID>
</pd:LogicalProductReference>
<pd:CharacterSet>ASCII</pd:CharacterSet>
<pd:GrossRecordStructure>
<pd:Identifier>
<r:ID>GrossRecordStructure</r:ID>
</pd:Identifier>
<pd:LogicalRecordReference>
<r:ID>ID</r:ID>
</pd:LogicalRecordReference>
<pd:PhysicalRecordSegment>
<pd:Identifier>
<r:ID>ID</r:ID>
</pd:Identifier>
</pd:PhysicalRecordSegment>
</pd:GrossRecordStructure>
<!-- - - - - - - - - - - -->
<nci:RecordLayout>
<nci:NCubeInstance>
<nci:Identifier>
<r:ID>NCubeInstance</r:ID>
</nci:Identifier>
<nci:NCubeReference>
<r:ID>NCube</r:ID>
</nci:NCubeReference>
</nci:NCubeInstance>
<!-- - - - - - - - - - - -->
<nci:DataItem>
<nci:NCubeInstanceReference>
<r:ID>NCube</r:ID>
</nci:NCubeInstanceReference>
<!-- - - - - - -->
<nci:Coordinate>
<nci:CoordinateNumber>1</nci:CoordinateNumber>
<nci:Value>1</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>2</nci:CoordinateNumber>
<nci:Value>1</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>3</nci:CoordinateNumber>
<nci:Value>1</nci:Value>
</nci:Coordinate>
<nci:MeasureValue>
<nci:MeasureReference>
<r:ID>Measure</r:ID>
</nci:MeasureReference>
<nci:Value>670</nci:Value>
</nci:MeasureValue>
</nci:DataItem>
<!-- - - - - - -->
<nci:DataItem>
<nci:NCubeInstanceReference>
<r:ID>NCube</r:ID>
</nci:NCubeInstanceReference>
<!-- - - - - - -->
<nci:Coordinate>
<nci:CoordinateNumber>1</nci:CoordinateNumber>
<nci:Value>1</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>2</nci:CoordinateNumber>
<nci:Value>1</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>3</nci:CoordinateNumber>
<nci:Value>2</nci:Value>
</nci:Coordinate>
<nci:MeasureValue>
<nci:MeasureReference>
<r:ID>Measure</r:ID>
</nci:MeasureReference>
<nci:Value>1442</nci:Value>
</nci:MeasureValue>
</nci:DataItem>
<!-- - - - - - -->
<nci:DataItem>
<nci:NCubeInstanceReference>
<r:ID>NCube</r:ID>
</nci:NCubeInstanceReference>
<!-- - - - - - -->
<nci:Coordinate>
<nci:CoordinateNumber>1</nci:CoordinateNumber>
<nci:Value>1</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>2</nci:CoordinateNumber>
<nci:Value>2</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>3</nci:CoordinateNumber>
<nci:Value>1</nci:Value>
</nci:Coordinate>
<nci:MeasureValue>
<nci:MeasureReference>
<r:ID>Measure</r:ID>
</nci:MeasureReference>
<nci:Value>1238</nci:Value>
</nci:MeasureValue>
</nci:DataItem>
<!-- - - - - - -->
<nci:DataItem>
<nci:NCubeInstanceReference>
<r:ID>NCube</r:ID>
</nci:NCubeInstanceReference>
<!-- - - - - - -->
<nci:Coordinate>
<nci:CoordinateNumber>1</nci:CoordinateNumber>
<nci:Value>1</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>2</nci:CoordinateNumber>
<nci:Value>2</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>3</nci:CoordinateNumber>
<nci:Value>2</nci:Value>
</nci:Coordinate>
<nci:MeasureValue>
<nci:MeasureReference>
<r:ID>Measure</r:ID>
</nci:MeasureReference>
<nci:Value>769</nci:Value>
</nci:MeasureValue>
</nci:DataItem>
<!-- - - - - - -->
<nci:DataItem>
<nci:NCubeInstanceReference>
<r:ID>NCube</r:ID>
</nci:NCubeInstanceReference>
<!-- - - - - - -->
<nci:Coordinate>
<nci:CoordinateNumber>1</nci:CoordinateNumber>
<nci:Value>1</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>2</nci:CoordinateNumber>
<nci:Value>3</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>3</nci:CoordinateNumber>
<nci:Value>1</nci:Value>
</nci:Coordinate>
<nci:MeasureValue>
<nci:MeasureReference>
<r:ID>Measure</r:ID>
</nci:MeasureReference>
<nci:Value>696</nci:Value>
</nci:MeasureValue>
</nci:DataItem>
<!-- - - - - - -->
<nci:DataItem>
<nci:NCubeInstanceReference>
<r:ID>NCube</r:ID>
</nci:NCubeInstanceReference>
<!-- - - - - - -->
<nci:Coordinate>
<nci:CoordinateNumber>1</nci:CoordinateNumber>
<nci:Value>1</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>2</nci:CoordinateNumber>
<nci:Value>3</nci:Value>
</nci:Coordinate>
<nci:Coordinate>
<nci:CoordinateNumber>3</nci:CoordinateNumber>
<nci:Value>2</nci:Value>
</nci:Coordinate>
<nci:MeasureValue>
<nci:MeasureReference>
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<!-- - - - - - -->
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<!-- - - - - - -->
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<!-- - - - - - -->
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<!-- - - - - - -->
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<!-- - - - - - -->
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<!-- - - - - - -->
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</nci:MeasureValue>
<!-- - - - - - - - - - - -->
</nci:DataItem>
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</pd:PhysicalDataProduct>
</s:StudyUnit>
</ddi:DDIInstance>
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