Difference between revisions of "Series Key"

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=Series Keys with time value=
 
=Series Keys with time value=
 
A Series Key that also includes a time value uniquely identifies an observation.
 
A Series Key that also includes a time value uniquely identifies an observation.
 +
                    2015    2016    2017    2018    2019    2020
 +
ATMCO2.GRC.A        278    290    298    304    312    209       
 +
TBSINDC.MDG.A        631    678    645    655    662    669

Revision as of 10:07, 1 February 2021

A Series Key is the cross product of values of Dimensions uniquely identifying a series within a dataset.

Overview

Consider the following 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 generally 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.

                    2015    2016    2017    2018    2019    2020
ATMCO2.GRC.A         278     290     298     304     312     209         
TBSINDC.MDG.A        631     678     645     655     662     669