[ianformanek]

Very good points.

Re: the R output - for us the R script is an optional step on the data pipeline, it can be either of these 2:

SQL Query -> (data table) -> visualisation SQL Query -> (data table) -> R script -> (data table) -> visualisation

i.e. the R step is injected, takes data as input and produces data (in the form of data.frame, vector of values or primitive values) as output.

Re: the filters. We support time-based filters very well with a nice UI (custom time ranges, time ranges relative to today, additional comparison time range). Custom value filters are currently in beta and once launched (in couple weeks) will support multi-select as well as values based on dynamic queries.