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@ -85,6 +85,6 @@ In this case the labels that represent the dimensions will have two keys based o
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### Multiple values
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In the case SQL-like data sources, more than one numeric column can be selected, without or without additional string columns to be used as dimensions. For example, ` AVG(Temperature) AS AvgTemp, MAX(Temperature) AS MaxTemp`. This, if combined with multiple dimensions can result in a lot of series. Selecting multiple values is currently only designed to be used with visualization.
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In the case SQL-like data sources, more than one numeric column can be selected, with or without additional string columns to be used as dimensions. For example, ` AVG(Temperature) AS AvgTemp, MAX(Temperature) AS MaxTemp`. This, if combined with multiple dimensions can result in a lot of series. Selecting multiple values is currently only designed to be used with visualization.
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Additional technical information on tabular time series formats and how dimensions are extracted can be found in [the developer documentation on data frames as time series]({{< relref "../developers/plugins/data-frames.md#data-frames-as-time-series" >}}).
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