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: Some Common Y Axis ▥ ▥▧ ▥▧ ▥▧▩ ▥▧▩ ▥▧▩ ▥▧▩ ▥▧▩ ▥ ▥ ▥▧ ▥▧ ▥▧ ▥▧▩ ▥▧▩ ▥▧▩ ▥ ▥ ▥ ▥▧ ▥▧ ▥▧ ▥▧▩ ▥▧▩ Tag1.Name Tag2.Name Tag3.Name 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.