TIBCO Spotifre Analyst v7.10: Delete Rows That Have Blank / Null Value in Column

Question

I have the following table / report in Spotfire. I want to delete / remove all rows that are null (don't have value) in the "Value" column.

Id      Date        cDate       Value         
--------------------------------------------
A       10/17/2017  10/18/2017     1               
A       10/17/2017  10/14/2017         
A       10/17/2017  10/8/2017             
B       11/19/2017  11/19/2017     1      
B       11/19/2017  11/30/2017        

I DO NOT want to filter for Value = 1 to achieve the above. The goal is to delete unnecessary rows.

Is this possible to do in Spotfire?

I want the resulting table /report to look like this:

Id      Date        cDate       Value         
--------------------------------------------
A       10/17/2017  10/18/2017     1                        
B       11/19/2017  11/19/2017     1    

Answer 1

Spotfire does not manage your data for you. what you're asking isn't possible.

you have listed the solution there, however, which is to filter out rows that do not contain [Value] of 1. you can use either the Filters Panel or a Data Limiting Expression to accomplish this. if that doesn't solve your issue, please provide more information about why you think you need to physically delete the rows.

---

EDIT

with the extra info, there's a bit of a hacky solution you can use. again I will stress that the correct way to solve this problem is at the data level; Spotfire is not here to manage your data, rather to help make sense of it :)

but you can reproduce the results you want for the data set you posted by adding a pivot transformation ( Insert » Transformations... , then choose Pivot ) configured like in this screenshot:

once you've pivoted to eliminate the other rows, you'll be able to join columns as you like.

NOTE : this may not work in a larger data set! it depends on what you're doing with the dates. you can play around with the aggregation (eg, using Last() rather than First() ) but, and sorry to harp on it, this isn't the right way to solve this problem.