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This is particularly helpful when the data is large - we can substentially reduce the running time of TERR by sending it only aggregated data, if that is what it needs.
Also hugely important for big data! Imagine I have an in-database pivot table that aggregates a year-long transactional data into customer profiles. I then add a number of calculated columns to it. This data is available in Spotfire memory. If I can pass it into TERR, I agilise ease of use and efficiency by a lot.
Not only terr but also to another visualisation, ie table .
I would like to see something like this that allows data from aggregated visualizations to be used as input to a data function. Simply passing the raw data in a data table removes the ability to leverage the logic already embedded in the visualization which means it has to be resetup in the R script. The ideal use case is simply being able to take a cross table viz and pass that aggregated view of data and any custom expressions to a data function directly. A side note would be being able to define a cross table also as a data table so I can create an aggregated view of a data table that can be reused in other visualizations such as in the Line from Data Table option.