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Section Analysis to count rows with a null field value

I have a table with Application Data. Each application may or may not have one or many tracking records associated with the application number. If the tracking record exists, it will have a value for all of the fields in the tracking record table; if the Application has no tracking record(s), all tracking record fields will be null. How do I use set analysis to both count number of apps with a null tracking record as well as count and sum the apps with the tracking record? See Sample Data (Application # is the only field that comes from the Application Table)

Application #TR Created DateTR LocatorTR Refi StatusTR Refi Status UserTR Credit LenderTR Credit Loan TypeTR Credit Curr. BalanceTR Refi Credit LimitTR Refi. Int. RateTR Refi. Savings
14895---------
58478910/17/2014305New OfferJoe SmithChase BankMortgage258,412275,000

4.59

520.00

5412510/24/2014135AcceptedKari WilliamsAMEXCredit Card7,568.0010,0002.9987.00
4258910/30/2014206No SavingsCarl FitzRed Rocks CULOC5005007.590.00
658----------
2598410/16/2014584New OfferJoe SmithUS BankCredit Card2698.5000.008.9929.00
365210/2/2014102New OfferSusan GeorgeWells FargoCredit Card1595.002500.008.9945.00
8549----------
1598710/5/2014103Ask LaterKari WilliamsBellco CULOC2693.005000.007.5994.00
1598710/5/2014104Ask LaterKari WilliamsBellco CUHELOC45,627.0060,0004.19138.00
1598710/5/2014105Ask LaterKari WilliamsGMAuto19,545.0020,000.001.9532.00
68741----------
2 Replies
ashfaq_haseeb
Champion III
Champion III

Hi,

May be like this.

Have a look at attached application.

Regards

ASHFAQ

danieloberbilli
Specialist II
Specialist II

Please find .qvw with examples of If-statement as well as set analysis solution attached.

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