[sql-server] SQL Server Pivot Table with multiple column aggregates

I've got a table:

 create table mytransactions(country varchar(30), totalcount int, numericmonth int, chardate char(20), totalamount money)

The table has these records:

insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 36, 7, 'Jul-12', 699.96)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 44, 8, 'Aug-12', 1368.71)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 52, 9, 'Sep-12', 1161.33)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 50, 10, 'Oct-12', 1099.84)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 38, 11, 'Nov-12', 1078.94)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Australia', 63, 12, 'Dec-12', 1668.23)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 11, 7, 'Jul-12', 257.82)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 5, 8, 'Aug-12', 126.55)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 7, 9, 'Sep-12', 92.11)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 12, 10, 'Oct-12', 103.56)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 21, 11, 'Nov-12', 377.68)
Go
insert into mytransactions(country, totalcount, numericmonth, chardate, totalamount) values('Austria', 3, 12, 'Dec-12', 14.35)
Go

This is what a select * looks like:

Country         TotalCount numericmonth  chardate totalamount
---------       ---------- -----------   -------- -----------
Australia       36         7             Jul-12   699.96
Australia       44         8             Aug-12   1368.71
Australia       52         9             Sep-12   1161.33
Australia       50         10            Oct-12   1099.84
Australia       38         11            Nov-12   1078.94
Australia       63         12            Dec-12   1668.23
Austria         11         7             Jul-12   257.82
Austria          5         8             Aug-12   126.55
Austria          7         9             Sep-12   92.11
Austria         12         10            Oct-12   103.56
Austria         21         11            Nov-12   377.68
Austria          3         12            Dec-12   14.35

I want to pivot this record set so it looks like this:

                   Australia          Australia        Austria              Austria
                   # of Transactions  Total $ amount   # of Transactions    Total $ amount
                   -----------------  --------------   -----------------    --------------
Jul-12             36                 699.96           11                   257.82
Aug-12             44                 1368.71          5                    126.55
Sep-12             52                 1161.33          7                    92.11
Oct-12             50                 1099.84          12                   103.56
Nov-12             38                 1078.94          21                   377.68
Dec-12             63                 1668.23           3                   14.35

This is the pivot code I've come up with so far:

select * from  mytransactions
pivot (sum (totalcount) for country in ([Australia], [Austria])) as pvt

This is what I'm getting:

numericmonth     chardate     totalamount     Australia   Austria
-----------      --------     ----------      ---------   -------
7                Jul-12       257.82          NULL        11
7                Jul-12       699.96          36          NULL
8                Aug-12       126.55          NULL        5
8                Aug-12       1368.71         44          NULL
9                Sep-12       92.11           NULL        7
9                Sep-12       1161.33         52          NULL
10               Oct-12       103.56          NULL        12
10               Oct-12       1099.84         50          NULL
11               Nov-12       377.68          NULL        21
11               Nov-12       1078.94         38          NULL
12               Dec-12       14.35           NULL        3
12               Dec-12       1668.23         63          NULL

I can manually aggregate the records in a table variable loop, however it seems that pivot might be able to do this.

Is is possible to get the record set I want using pivot or is there another tool that I'm not aware of?

Thanks

The least complicated, most straight-forward way of doing this is by simply wrapping your main query with the pivot in a common table expression, then grouping/aggregating.

WITH PivotCTE AS
(
    select * from  mytransactions
    pivot (sum (totalcount) for country in ([Australia], [Austria])) as pvt
)
SELECT
    numericmonth,
    chardate,
    SUM(totalamount) AS totalamount,
    SUM(ISNULL(Australia, 0)) AS Australia,
    SUM(ISNULL(Austria, 0)) Austria
FROM PivotCTE
GROUP BY numericmonth, chardate

The ISNULL is to stop a NULL value from nullifying the sum (because NULL + any value = NULL)

I used your own pivot as a nested query and came to this result:

SELECT
  [sub].[chardate],
  SUM(ISNULL([Australia], 0)) AS [Transactions Australia],
  SUM(CASE WHEN [Australia] IS NOT NULL THEN [TotalAmount] ELSE 0 END) AS [Amount Australia],
  SUM(ISNULL([Austria], 0)) AS [Transactions Austria],
  SUM(CASE WHEN [Austria] IS NOT NULL THEN [TotalAmount] ELSE 0 END) AS [Amount Austria]
FROM
(
  select * 
  from  mytransactions
  pivot (sum (totalcount) for country in ([Australia], [Austria])) as pvt
) AS [sub]
GROUP BY
  [sub].[chardate],
  [sub].[numericmonth]
ORDER BY 
  [sub].[numericmonth] ASC

Here is the Fiddle.