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Sure.

The table:
  id date amount_mm  0 08/12/14 22  1 08/19/14 8  2 08/24/14 9.5  3 09/04/14
52  4 09/11/14 20  6 09/12/14 20  7 09/13/14 34  8 09/17/14 42  9 09/24/14 7
The underlying query:
SELECT MONTHNAME( "date" ) AS "Month", SUM( "amount_mm" ) AS "Total (mm)",
AVG( "amount_mm" ) AS "Avg (mm)", MAX( "amount_mm" ) AS "Max (mm)", MIN(
"amount_mm" ) AS "Min (mm)", SUM( "amount_mm" * 0.0393701 ) AS "Sum (in)",
AVG( "amount_mm" * 0.0393701 ) AS "Avg (in)", MAX( "amount_mm" * 0.0393701
) AS "Max (in)", MIN( "amount_mm" * 0.0393701 ) AS "Min (in)" FROM
"tblRain" GROUP BY MONTHNAME( "date" )

On Sat, Sep 27, 2014 at 5:49 AM, Alex Thurgood <alex.thurgood@gmail.com>
wrote:

Le 26/09/2014 11:03, Don Parris a écrit :
Thanks Alex.  The underlying query gets the month from the date, as well
as
the total, average, max and min for each month.  The results are, of
course, already grouped & calculated by month.  I was able to get the
overall total, but also wanted to see the overall average, max and min.
I
somehow imagined that it would be a piece of cake.  It looks like Calc is
the better "report tool" in this case.


Having never really played around with Calc and database datasets, I
admit to not knowing, but I imagine that the function set is broader and
thus allows for more possibilities.

Would you mind posting your initial query and table definition so that I
could build my own little test db and have a think about it, otherwise
its all a bit too abstract ?

Alex


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