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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