Fusion-Excel-TS
Overview
The Fusion-Excel-TS format is not an official SDMX format. It has a similar layout to the Fusion-CSV-TS format, in that the default layout is a time series per row, a different Dimension can be selected other then TIME_PERIOD to present each series by, in the same way as the Fusion-CSV-TS format.
The advantages over CSV is that Excel provides a few additional features which are now possible in CSV, these are:
- The ability to slice the data over a Dimension to output a worksheet per Dimension value, e.g slice by FREQ would output Annual Data in one worksheet, Monthly data in another, and so on.
- The ability to promote fixed values to a header, or eliminating them from the output, if the values for the Dimension are the same for the entire worksheet
- Excel's freeze pane feature is used to make the inner table scrollable while keeping the column and row headers in place
- The use of colour to style the output, making the data easier to read
Fusion-Excel-TS is an export format only, supported by Fusion Registry, Fusion Edge Server and Fusion Data Browser.
Fusion-Excel-TS became available from Fusion Registry v10.4.5 onwards
Formatting Using Query Parameters
The following URL parameters can be used in a RESTful query for to get data in Excel format.
Query Parameter | Values | Description |
---|---|---|
format | excel-ts | Required to output the dataset in fusion-excel-series format |
dimensionAtObservation | [dimension id] default TIME_PEREIOD for time series data |
Defines which dimension is iterated over on the rows |
detail | full or dataonly default full |
Use dataonly to exclude series attributes from the output |
slice | [dimension id] default to N/A |
If provided, an Excel worksheet will be created for each distinct value in the dataset for this Dimension |
labels | id or name or both (id is default) |
Output Ids or the corresponding name, or id and name |
fixed | keep or promote or remove (promote is default) |
Describes how to handle Dimension or Series Attribute values which are the same for the whole dataset.
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Note: The same formatting can be applied using HTTP Accept Headers as opposed to using REST query parameters.