Row Total Incorrect Using SumX

JNM

New Member
Joined
Jan 24, 2012
Messages
35
I have a simple table and am using sumx, but the row total is incorrect.

The measure is: =sumx(daily,[Gallons]*[NACVal]/[Acres])/[rows]

The output looks like this:
[TABLE="width: 613"]
<colgroup><col><col span="2"><col><col span="5"><col></colgroup><tbody>[TR]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][TABLE="width: 592"]
<colgroup><col span="2"><col><col span="5"><col><col></colgroup><tbody>[TR]
[TD="align: right"]1[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]3[/TD]
[TD="align: right"]4[/TD]
[TD="align: right"]5[/TD]
[TD="align: right"]10[/TD]
[TD="align: right"]11[/TD]
[TD="align: right"]12[/TD]
[TD]Grand Total[/TD]
[TD]Should be:[/TD]
[/TR]
[TR]
[TD="align: right"]4.807[/TD]
[TD="align: right"]5.566[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD="align: right"]2.691[/TD]
[TD="align: right"]3.266[/TD]
[TD="align: right"]3.46[/TD]
[TD="align: right"]16.33[/TD]
[/TR]
[TR]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD="align: right"]2.691[/TD]
[TD] [/TD]
[TD="align: right"]2.69[/TD]
[TD="align: right"]2.69[/TD]
[/TR]
[TR]
[TD] [/TD]
[TD] [/TD]
[TD="align: right"]3.634[/TD]
[TD="align: right"]5.382[/TD]
[TD="align: right"]4.416[/TD]
[TD="align: right"]3.841[/TD]
[TD="align: right"]2.691[/TD]
[TD="align: right"]3.266[/TD]
[TD="align: right"]4.45[/TD]
[TD="align: right"]23.23[/TD]
[/TR]
[TR]
[TD="align: right"]4.807[/TD]
[TD="align: right"]5.566[/TD]
[TD="align: right"]3.634[/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD] [/TD]
[TD="align: right"]4.74[/TD]
[TD="align: right"]14.00[/TD]
[/TR]
[TR]
[TD="align: right"]4.807[/TD]
[TD="align: right"]5.566[/TD]
[TD="align: right"]3.634[/TD]
[TD] [/TD]
[TD] [/TD]
[TD="align: right"]3.841[/TD]
[TD="align: right"]2.691[/TD]
[TD="align: right"]3.266[/TD]
[TD="align: right"]4.27[/TD]
[TD="align: right"]23.80[/TD]
[/TR]
</tbody>[/TABLE]



[/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[/TR]
[TR]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[/TR]
[TR]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[/TR]
[TR]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[/TR]
[TR]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[/TR]
</tbody>[/TABLE]

[TABLE="width: 613"]
<colgroup><col><col span="2"><col><col span="5"><col></colgroup><tbody>[TR]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD][/TD]
[/TR]
[TR]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[/TR]
[TR]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[/TR]
[TR]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[/TR]
[TR]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[/TR]
[TR]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD][/TD]
[TD][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[TD="align: right"][/TD]
[/TR]
</tbody>[/TABLE]
 

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Pito Salas, working for Lotus, popularized what would become to be pivot tables. It was released as Lotus Improv in 1989.
would you be able to provide screenshot with headers? Perhaps try using brackets, all of your data is in the same row/table, no duplicate rows?
 
Upvote 0
ABCDEFG
DateFieldGridMonthValNACValGalAcres
Ourada, Ken-E
Ourada, Ken-E
Ourada, Ken-E
Ourada, Ken-E
Ourada, Ken-E
Ourada, Ken-E
Ourada, Ken-E
Ourada, Ken-E
Ourada, Ken-A
Ourada, Ken-I
Ourada, Ken-A
Ourada, Ken-E
Ourada, Ken-E
Ourada, Ken-I
Ourada, Ken-I
Ourada, Ken-I
Ourada, Ken-E
Ourada, Ken-I
Ourada, Ken-I
Ourada, Ken-E
Ourada, Ken-I
Ourada, Ken-I
Ourada, Ken-I
Ourada, Ken-E
Ourada, Ken-I
Ourada, Ken-I
Ourada, Ken-E
Ourada, Ken-E

<tbody>
[TD="align: center"]1[/TD]

[TD="align: center"]2[/TD]
[TD="align: right"]1/10/2019[/TD]

[TD="align: right"]15[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]3[/TD]
[TD="align: right"]1/12/2019[/TD]

[TD="align: right"]16[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]4[/TD]
[TD="align: right"]1/15/2019[/TD]

[TD="align: right"]35[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]5[/TD]
[TD="align: right"]1/17/2019[/TD]

[TD="align: right"]25[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]6[/TD]
[TD="align: right"]1/18/2019[/TD]

[TD="align: right"]27[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]7[/TD]
[TD="align: right"]1/18/2019[/TD]

[TD="align: right"]37[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]8[/TD]
[TD="align: right"]1/20/2019[/TD]

[TD="align: right"]26[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]9[/TD]
[TD="align: right"]1/22/2019[/TD]

[TD="align: right"]38[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]10[/TD]
[TD="align: right"]1/23/2019[/TD]

[TD="align: right"]16[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]11[/TD]
[TD="align: right"]1/23/2019[/TD]

[TD="align: right"]16[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]12[/TD]
[TD="align: right"]1/24/2019[/TD]

[TD="align: right"]1[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]13[/TD]
[TD="align: right"]1/24/2019[/TD]

[TD="align: right"]39[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]14[/TD]
[TD="align: right"]1/26/2019[/TD]

[TD="align: right"]24[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]15[/TD]
[TD="align: right"]1/27/2019[/TD]

[TD="align: right"]17[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]16[/TD]
[TD="align: right"]1/27/2019[/TD]

[TD="align: right"]20[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]17[/TD]
[TD="align: right"]1/29/2019[/TD]

[TD="align: right"]21[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]18[/TD]
[TD="align: right"]1/30/2019[/TD]

[TD="align: right"]36[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]19[/TD]
[TD="align: right"]1/31/2019[/TD]

[TD="align: right"]11[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]20[/TD]
[TD="align: right"]1/31/2019[/TD]

[TD="align: right"]22[/TD]
[TD="align: right"]1[/TD]
[TD="align: right"]0.00209[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]21[/TD]
[TD="align: right"]2/1/2019[/TD]

[TD="align: right"]17[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]0.00242[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]22[/TD]
[TD="align: right"]2/1/2019[/TD]

[TD="align: right"]15[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]0.00242[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]23[/TD]
[TD="align: right"]2/2/2019[/TD]

[TD="align: right"]25[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]0.00242[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]24[/TD]
[TD="align: right"]2/2/2019[/TD]

[TD="align: right"]26[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]0.00242[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]25[/TD]
[TD="align: right"]2/3/2019[/TD]

[TD="align: right"]14[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]0.00242[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]26[/TD]
[TD="align: right"]2/6/2019[/TD]

[TD="align: right"]10[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]0.00242[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]27[/TD]
[TD="align: right"]2/6/2019[/TD]

[TD="align: right"]12[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]0.00242[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]28[/TD]
[TD="align: right"]2/7/2019[/TD]

[TD="align: right"]16[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]0.00242[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

[TD="align: center"]29[/TD]
[TD="align: right"]2/8/2019[/TD]

[TD="align: right"]37[/TD]
[TD="align: right"]2[/TD]
[TD="align: right"]0.00242[/TD]
[TD="align: right"]4600[/TD]
[TD="align: right"]2[/TD]

</tbody>
Sheet1
There are no duplicates - there are multiple entries per day, but they would differ on field/grid combos. The NACVal changes monthly
 
Last edited:
Upvote 0
ok. looking at your data it is unclear what you are calculating. you are trying to save some ram or space not having an extra column, using sumx rather than sum. why do you divide by row?
i would first create simple formulas, make sure it works and then go on from there. perhaps rows is not connected to this table and you only get total row.
 
Upvote 0
I ended up creating a measure for each month, then a measure that added all the months together.
 
Upvote 0

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