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JamesSlusher
New Member

Reconciling the Max pallet number with the actual count of pallets

Hi,

I'm trying to make a reconciliation report.  When pallets of material are produced, they are assigned a pallet number for that material.  Our machine sometimes miscounts and will make 10 pallets of material and the last pallet number will be 12 (or 25 or whatever).  It doesn't do this every time, so there are many examples of 9 pallets with the highest number being 9.

 

The end goal is to be able to tell what percentage of the time the machine counts correctly/incorrectly.  I've underlined the parts of the table where there is a counting mistake.

 

Sample Data: Run Reconcile 

 

 

Data:

run_no       pallet

A 1
A 2
A 3
A 4
A 5
A 6
A 7
A 8
A 9
A 10
A 11
A 12
A 13
A 14
A 15
B 1
B 2
B 3
B 4
B 5
B 6
B 7
B 8
B 9
B 10
B 11
B 12
B 13
B 14
B 15
B 16
B 18
B 19
B 20
B 21
B 22
B 23
B 24
B 25
B 26
B 27
C 1
C 2
C 3
C 4
C 5
C 6
C 7
C 8
C 9
C 10
C 11
C 12
D 1
D 2
D 3
D 4
D 5
D 6
D 9
D 10
D 11
D 12
D 13
D 14
D 15
D 18
E 1
E 2
E 3
E 4
E 5
E 6
E 7
E 8
E 9
F 1
G 1
G 2
G 3
G 4
G 5
G 6
G 7
G 8
G 9
G 10
G 11
G 12
G 13
G 14
G 15
G 16
G 17
G 18
G 19
G 20
G 21
G 22
G 23
G 24
G 25
G 26
G 27
H 1
H 2
H 3
H 4
H 5
H 6
H 7
H 8
H 9
H 10
H 11
H 12
H 13
H 14
H 15
H 16
H 17
H 18
H 19
H 20
H 21
H 22
H 23
H 24
H 25

 

Output:

run_no max_pallet pallet_count count-good   
A 15 15 yes Incorrect percentage 
B 27 26 no 25% 
C 12 12 yes   
D 18 14 no   
E 9 9 yes   
F 1 1 yes   
G 27 27 yes   
H 25 25 yes   
1 ACCEPTED SOLUTION
mickey64
Super User
Super User

For your reference.

 

Step 1: I make a summarize table 'Outpot Table' and add 3 columns.

    Output Table = SUMMARIZE('DATA','DATA'[run_no])

    max_pallet = CALCULATE(MAX('DATA'[pallet]),ALLEXCEPT('Output Table','Output Table'[run_no]))

    pallet_count = CALCULATE(COUNT(DATA[run_no]),ALLEXCEPT('Output Table','Output Table'[run_no]))

    count-good = IF([max_pallet]=[pallet_count],"yes","no")

    mickey64_0-1697020307406.png

 

Step 2: I make a measure.

    Incorrect percentage = DIVIDE(COUNTX(FILTER('Output Table','Output Table'[count-good]="no"),'Output Table'[count-good]),COUNT('Output Table'[count-good]))

 

Step 3: I make a 'Table' visual and a 'Card' visual.

mickey64_1-1697020452991.png

 

View solution in original post

3 REPLIES 3
mickey64
Super User
Super User

For your reference.

 

Step 1: I make a summarize table 'Outpot Table' and add 3 columns.

    Output Table = SUMMARIZE('DATA','DATA'[run_no])

    max_pallet = CALCULATE(MAX('DATA'[pallet]),ALLEXCEPT('Output Table','Output Table'[run_no]))

    pallet_count = CALCULATE(COUNT(DATA[run_no]),ALLEXCEPT('Output Table','Output Table'[run_no]))

    count-good = IF([max_pallet]=[pallet_count],"yes","no")

    mickey64_0-1697020307406.png

 

Step 2: I make a measure.

    Incorrect percentage = DIVIDE(COUNTX(FILTER('Output Table','Output Table'[count-good]="no"),'Output Table'[count-good]),COUNT('Output Table'[count-good]))

 

Step 3: I make a 'Table' visual and a 'Card' visual.

mickey64_1-1697020452991.png

 

Thanks!  That works great.  I really need to work on my ability to make summary tables.

I forgot to explain.

Please add a relationship below.

 

mickey64_0-1697021938358.png

 

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