Dimension - Revision history

Vmurrell at 13:43, 28 March 2024

2024-03-28T13:43:19Z

Vmurrell at 12:23, 17 August 2022

2022-08-17T12:23:34Z

Vmurrell at 12:09, 17 August 2022

2022-08-17T12:09:05Z

Mnelson at 09:21, 29 January 2021

2021-01-29T09:21:33Z

Glenn at 10:54, 24 September 2020

2020-09-24T10:54:21Z

Glenn: Created page with "Category:Glossary Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations. In an SDMX Data S..."

2020-01-24T15:50:48Z

Created page with "Category:Glossary Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations. In an SDMX Data S..."

New page

[[Category:Glossary]]
Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations.

In an SDMX [[Data Structure Definition]] (DSD), Dimensions differ from Attributes in that they are all required to uniquely indentify a series. Another way to think about it is that the collection of Dimensions in a DSD form the primary key.

@@ Line 3: / Line 3: @@
 Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations.
-A Dimension is a [[Component]] of an SDMX [[Data Structure Definition]] (DSD).
+A Dimension is a Component of an SDMX Data Structure Definition (DSD).
 <br><br>
 A Data Structure Definition comprises of 1-n Dimensions, each Dimension defines what its valid [[Representation]] is, and in the dataset a value must be reported against each Dimension to form the Unique Key.

← Older revision		Revision as of 12:23, 17 August 2022
Line 1:		Line 1:
	[[Category:Concepts_Reference_V10]]		[[Category:Concepts_Reference_V10]]
		+	[[Category:Concepts_Reference_V11]]
	Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations.		Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations.

← Older revision		Revision as of 12:09, 17 August 2022
Line 1:		Line 1:
−	[[Category:~~Concepts Reference~~]]	+	[[Category:Concepts_Reference_V10]]
	Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations.		Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations.

← Older revision		Revision as of 09:21, 29 January 2021
Line 2:		Line 2:
	Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations.		Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations.

−	In an SDMX [[Data Structure Definition]] (DSD), Dimensions differ from Attributes in that ~~they~~ are all required to uniquely ~~indentify~~ a series. ~~Another way to think about it is that~~ the ~~collection~~ of ~~Dimensions in a DSD form the primary key~~.	+	A Dimension is a [[Component]] of an SDMX [[Data Structure Definition]] (DSD).
		+	<br><br>
		+	A Data Structure Definition comprises of 1-n Dimensions, each Dimension defines what its valid [[Representation]] is, and in the dataset a value must be reported against each Dimension to form the Unique Key.
		+
		+	'''<u>Example Dataset</u>'''
		+	{\| class="wikitable"
		+	\|-
		+	! FREQ !! REF_AREA !! INDICATOR !! TIME_PERIOD !! OBS_VALUE
		+	\|-
		+	\| A \|\| UK \|\| H1B2 \|\| 2002 \|\| 12.3
		+	\|-
		+	\| A \|\| FR \|\| H1B2 \|\| 2002 \|\| 12.4
		+	\|-
		+	\| A \|\| DE \|\| H1B2 \|\| 2002 \|\| 12.5
		+	\|}
		+
		+	In the above example, the Dimensions are FREQ, REF_AREA, INDICATOR, and TIME_PERIOD (which acts a special dimension to describe Time). Each row has a unique key based on the combination of these Dimension values. SDMX uses the term Series Key which is the combined values of the Dimensions excluding time (A.UK.H1B2) and Observation Key which is the Series Key including Time (A.UK.H1B2.2002). The Series Key is used to uniquely identify a single series in a time series dataset, which may comprise of multiple rows which iterate over time. The observation key will always uniquely identify a single observation (row) in a dataset. In a non-time series dataset the series key and observation key will be the same.
		+	<br><br>
		+	Dimensions differ from [[Attribute\|Dataset Attributes]] in that Dimensions are all required to uniquely identify a series. Attributes are not included in the unique identification of data, and can even be marked as optional.

@@ Line 1: / Line 1: @@
-[[Category:Glossary]]
+[[Category:Concepts Reference]]
 Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations.
 In an SDMX [[Data Structure Definition]] (DSD), Dimensions differ from Attributes in that they are all required to uniquely indentify a series. Another way to think about it is that the collection of Dimensions in a DSD form the primary key.