Let's say we have the iris dataset that we all know.
I would like to plot the Sepal.Length as a ggplot and the Sepal.Width as a ggplot per species
so in total this would be 6 plots.... (3 species x 2 plots)
This is the static case and I think I know how to generate this... However in my real life data set I have no clue how many species there will be upfront...
So I think my question is twofold:
1) how can I generate multiple plots from the interactive R nodes, while not knowing upfront how many this will be?
2) how can I use the generated plots in a BIRT report?
Any help/guidance on the approach is appreciated..
I did some more experimenting tonight and found a way to do it.. However I am not sure if this is the cleanest way to do this. Any feedback is welcome again.
For an up-font unknown number of outcomes I'd opt to summarise them by GroupBy, and then iterate via "TableRow to Variable Loop Start" and a Row filter (or your "add table to R"), using the grouped row variable in question as loop input filter.
I cannot upload any material on my present connection, otherwise I'd show you hands-on.