Kevin

The question

Suppose I have an irregularly spaced discrete signal, and several continuous signals.  Is there a simple way to export the data such that I only get data from the times when the discrete signal has data?

I.e. suppose my discrete data was taken at 1min, 3.1min, 8min and 19.5min.  Can I get an exported sheet that has the value of all the interpolated results only at 1, 3.1, 8 and 19.5 minutes?

What I have tried

• Automatic Gridding: Fails to export any discrete data
• Custom Gridding: Fails to export any discrete data 
• Original Timestamps: Exports all data, but the discrete and interpolated signals are misaligned

Yes, I have already built such single-value scorecards.  Strictly speaking, graphs are never "needed" over a table of numbers, but including a bar chart does show the relative magnitudes much better.  In my particular use case, we are reporting values of certain decisions over day/week/month time horizons.  The results will be used to highlight the most valuable decisions, as well as which decisions have become more/less valuable.  These results will be widely shared within my organization, and used for work prioritization.  The decisions and associated $ values are generated by a 3rd party tool.

If I decided I was content with "raw numbers," I would just share around the text-based reports that also get generated by the 3rd party tool.

I would like to make a classic bar chart with data pulled from a database.  I would like to make something like this:

Tag#.Name is a string.

Each bar in the bar chart has a value like Tag1.Value1, Tag1.Value2, Tag1.Value3, etc.

The values in the tags will update on a ~3 hour interval, and the goal is to have only the latest data displayed in this bar chart.

Is this achievable with Seeq?  I believe that it is not, based on my cursory search through the documentation.