Difference between revisions of "SDMX-CSV Data"
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=Overview= | =Overview= | ||
The SDMX-CSV Data format is an official SDMX format described on the [https://github.com/sdmx-twg/sdmx-csv/tree/master/data-message SDMX GitHub Repository]. | The SDMX-CSV Data format is an official SDMX format described on the [https://github.com/sdmx-twg/sdmx-csv/tree/master/data-message SDMX GitHub Repository]. | ||
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| + | It can be used as both an import and export format for the Fusion Registry, and an export format for the Fusion Edge Server and Fusion Data Browser. | ||
The format is comma separated format where each row describes a single Observation value. The columns describe each component of the Observation value, reflecting the Components in the [[Data_Structure_Definition#Data_Structure_Components|Data Structure Definition]]. | The format is comma separated format where each row describes a single Observation value. The columns describe each component of the Observation value, reflecting the Components in the [[Data_Structure_Definition#Data_Structure_Components|Data Structure Definition]]. | ||
The dataset can contain both Code labels, in addition to the Code IDs. The order of the columns is not important, however each column header will contain the ID of the corresponding Component. The first column must be called '''Dataflow''' where each value contains the [[URN]] postfix of the Dataflow that dataset is for. | The dataset can contain both Code labels, in addition to the Code IDs. The order of the columns is not important, however each column header will contain the ID of the corresponding Component. The first column must be called '''Dataflow''' where each value contains the [[URN]] postfix of the Dataflow that dataset is for. | ||
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=Example= | =Example= | ||
Revision as of 15:37, 19 March 2020
Overview
The SDMX-CSV Data format is an official SDMX format described on the SDMX GitHub Repository.
It can be used as both an import and export format for the Fusion Registry, and an export format for the Fusion Edge Server and Fusion Data Browser.
The format is comma separated format where each row describes a single Observation value. The columns describe each component of the Observation value, reflecting the Components in the Data Structure Definition.
The dataset can contain both Code labels, in addition to the Code IDs. The order of the columns is not important, however each column header will contain the ID of the corresponding Component. The first column must be called Dataflow where each value contains the URN postfix of the Dataflow that dataset is for.
Example
An example dataset with IDs only, spaces have been added to this example to assist readability.
DATAFLOW, REF_AREA, INDICATOR, SUB_INDICATOR, FREQ, TIME_PERIOD, OBS_VALUE WB:GCI(1.0), GHA, GCI, RANK, A, 2008, 102 WB:GCI(1.0), GHA, GCI, RANK, A, 2009, 114 WB:GCI(1.0), GHA, GCI, RANK, A, 2010, 114 WB:GCI(1.0), GHA, GCI, RANK, A, 2011, 114 WB:GCI(1.0), GHA, GCI, RANK, A, 2012, 103 WB:GCI(1.0), GHA, GCI, RANK, A, 2013, 114 WB:GCI(1.0), GHA, GCI, RANK, A, 2014, 111
The same dataset in SDMX-CSV with lables included.
DATAFLOW, REF_AREA:Reference Area, INDICATOR:Indicator, SUB_INDICATOR:Sub Indicator, FREQ:Frequency, TIME_PERIOD:Time period, OBS_VALUE:Observation WB:GCI(1.0): Global Competitiveness Index, GHA: Ghana, GCI: Global Competitiveness Index, RANK: Rank, A: Annual, 2008, 102 WB:GCI(1.0): Global Competitiveness Index, GHA: Ghana, GCI: Global Competitiveness Index, RANK: Rank, A: Annual, 2009, 114 WB:GCI(1.0): Global Competitiveness Index, GHA: Ghana, GCI: Global Competitiveness Index, RANK: Rank, A: Annual, 2010, 114 WB:GCI(1.0): Global Competitiveness Index, GHA: Ghana, GCI: Global Competitiveness Index, RANK: Rank, A: Annual, 2011, 114 WB:GCI(1.0): Global Competitiveness Index, GHA: Ghana, GCI: Global Competitiveness Index, RANK: Rank, A: Annual, 2012, 103 WB:GCI(1.0): Global Competitiveness Index, GHA: Ghana, GCI: Global Competitiveness Index, RANK: Rank, A: Annual, 2013, 114 WB:GCI(1.0): Global Competitiveness Index, GHA: Ghana, GCI: Global Competitiveness Index, RANK: Rank, A: Annual, 2014, 111
