Instead of querying detailed measurement data by default queries, you can also query the info fields and computed columns which have an aggregation level based on DAT files (i.e. one value per DAT file). This resolution permits long-term analysis over days, weeks, months or years without generating excessive data volumes. The file table created by ibaAnalyzer is used to display a trend graph of this data. Theoretically, you can also query data from other database tables or views, provided that these tables contain a timestamp column and numerical data or string data. The results of a trend query are signals containing non-equidistant data points, similar to the XY view.

Each dataset in the query result is displayed by a point which has an x-coordinate that corresponds to the time stamp of the source file and a y-coordinate that corresponds to the aggregated value of the info field. You can use these generated signals in further calculations. However, in this case they are first converted to equidistant signals by linear interpolation before being used in the given expression. The sample interval of the newly sampled signal is the time interval between the two closest sample points in the original, non-equidistant signal.