Difference between revisions of "Series Key"
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A Series Key is the cross product of values of Dimensions uniquely identifying a series within a dataset. | A Series Key is the cross product of values of Dimensions uniquely identifying a series within a dataset. | ||
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Consider a [[Data Structure Definition]]: | Consider a [[Data Structure Definition]]: | ||
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Revision as of 09:57, 1 February 2021
A Series Key is the cross product of values of Dimensions uniquely identifying a series within a dataset.
General Usage
Consider a Data Structure Definition:
| Position | Component Type | Component ID | Description |
|---|---|---|---|
| 1 | Dimension | INDICATOR | Indicator |
| 2 | Dimension | REF_AREA | Reference Area |
| 3 | Dimension | FREQUENCY | Data Frequency |
| n/a | Time Dimension | TIME_PERIOD | Observation Time |
| n/a | Attribute | UNIT_MULT | Unit Multiplier e.g. tens, thousands, millions |
| n/a | Attribute | Observation Status | Observation Status e.g. Estimated, Final |
| n/a | Primary Measure | Observation Value | The observation value |
In SDMX, Series Keys are written by concatenating the Dimension values with dots (.) in the order specified in the DSD.
For the DSD above, the Series Key is constructed as follows:
<INDICATOR>.<REF_AREA>.<FREQUENCY>
Examples
ATMCO2.GRC.A ATMCO2.GRC.M TBSINDC.MDG.A TBSINDC.GBR.M
Attributes do not form part of the Series Key because they have no role in uniquely identifying series or observations.
In some implementations, Series Keys use a colon (:) seperator:
Q:S:L:A:TO1:A:5J:A:5A:U:5R:N Q:S:L:A:TO1:A:5J:A:5A:U:5C:N Q:S:L:A:TO1:A:5J:A:5A:U:1N:N Q:S:L:A:TO1:A:5J:A:5A:U:3C:N Q:S:L:A:TO1:A:5J:A:5A:U:1C:N
Series Keys with time value
A Series Key that also includes a time value uniquely identifies an observation.
