Difference between revisions of "Series Key"
Jump to navigation
Jump to search
| Line 24: | Line 24: | ||
| n/a || Primary Measure || Observation Value || The observation value | | 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: | For the DSD above, the Series Key is constructed as follows: | ||
Revision as of 09:48, 1 February 2021
A Series Key is the cross product of values of Dimensions uniquely identifying a series within a dataset.
A Series Key that also includes a time value uniquely identifies an observation.
Example
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.
