I have a question as to the best way to go about solving a problem. MS Access. I have query with the following fields
place, date, payment, frequency
aaaa, 1/1/2022, 1000, monthly
aaaa, 2/2/2022, 1000, monthly
bbbb, 1/1/2022, 12000, annual
bbbb, 2/1/2022 0 , annual
cccc, 1/1/2022, 4000, quarterly
The result for payment is 0 for any month there is no payment
I am trying to get to a result of what the approximate monthly payment is at any point in time. If the frequency is monthly, the payment is just the payment. However, if the payment is annual, I would like to show its monthly rate (12,000/12 from above)
The result set for any given month would be:
place, date, appoxMonthly
aaaa, 1/1/2022, 1000
bbbb, 1/1/2022, 1000
ccc, 1/1/2022, 1000
I could create a recordset from the old query and create a new query and populate with the new calculated values but i'm wondering if i am missing something easier
Apr 12 '22
11 9354 NeoPa 32,571
Recognized Expert Moderator MVP
I played around some more and came up with a version that is more likely to work as required. The Sub-Query can alternatively be saved as a QueryDef and used by name. - SELECT [Place], [Date], [Payment], [Frequency]
-
FROM [YourTable]
-
INNER JOIN
-
(SELECT [Place]
-
, Max([Date]) AS [MaxDate]
-
FROM [YourTable]
-
WHERE ([Payment]<>0)
-
GROUP BY [Place]) AS [sQ]
-
ON [YourTable].[Place]=[sQ].[Place]
-
AND [YourTable].[Date]=[sQ].[MaxDate]
zmbd 5,501
Recognized Expert Moderator Expert
The only issue I see with Neopa's suggestion relates to my question in post#7 in that:
+ If the dates being stored in record fields as implied in Post#4....
[Field1 - Date 1][Field2 - Date 2][Field3 - Date 3][Field4 - Date 4]
Then the only option I really know of to handle this in Access uses VBA. This happens alot in Worksheets; however, at least then you can use Max() on the row and one (or more) of the lookup functions in a dashboard (I have to do this alot with legacy datasets in the Lab where I work - Excel is not a database and array formulas are a form-of-crazy-uniquely-unto-themselves); however, I digress...
+ Of course, If the dates are being stored in a table column, as inferred in OP, which is what base my first suggestion on; then, of course, Neopa's suggestions are closer to what you are after, combine that with my suggestion in Post#2 to convert your text values for frequency and you should be well on your way.
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