This is another method that I suggested back in June
Thanks for asking...
You can create multiple values by combining a crosstab and cartesian query.
The first thing you must do is decide what you mean by Price since the price
may vary during the month. I would suggest that you calculate the Quantity
and the Quantity*UnitPrice in your query. Then in your report, divide
Quantity/(Quantity*UnitPrice) to get the average price for the month.
I created a sample using the Northwind database.
-Create a new table tblXtabCOlumns with a single field [FldName]
-add two records to this table
"Quantity"
"QtyXPrice"
-create a crosstab with the table [Products], [Orders], [Order Details], and
[tblXtabColumns]
-join the first three tables as expected but don't join tblXtabColumns to
any other table
-your Column Heading expression is
Expr1:[FldName] & Month([OrderDate])
-your Value expression is
DaVal:IIf([FldName]="Quantity",[Quantity],[Quantity]*[Order
Details]![UnitPrice])
Sum
-I set OrderDate for the first three months of 1998
The full SQL is:
TRANSFORM Sum(IIf([FldName]="Quantity",[Quantity],[Quantity]*[Order
Details]![UnitPrice])) AS DaVal
SELECT Products.ProductName
FROM tblXtabColumns, Orders INNER JOIN (Products INNER JOIN [Order Details]
ON Products.ProductID = [Order Details].ProductID) ON Orders.OrderID =
[Order Details].OrderID
WHERE (((Orders.OrderDate) Between #1/1/1998# And #3/31/1998#))
GROUP BY Products.ProductName
PIVOT [FldName] & Month([OrderDate]);
You will get two columns per month QtyXPriceN and QuantityN. Once you get
this to your report, divide the QtyXPriceN/QuantityN.
