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Hello -
I need some assistance with calculating a measure. Here is what I have:
Table A:
Table B:
These two tables are joined through a bridge table by Account Number/Billing Telephone Number as both have repeating acocunt numbers and EOM Load Date values. There are other tables joined through the bridge table as well.
What I want to do on Table A is:
SUM(USOC_Charges) from Table B If A.EOM Load Date=B.EOM_Load_Date. Account Number would also be equal to Billing Telephone Number but I think that is acomplished through the bridge table.
I have tried SUMX, Calculate(Sum(Filter(... a few other things but for the life of me cannot figure out how to get this to work.
Any help is appreciated.
Matt
Solved! Go to Solution.
Create relationships between Table A and Table B by Bridge Table
Calculate sum of USOC Charges where AccountID = AccountID and EOM Load Date = EOM Load Date
Measure = CALCULATE ( SUM ( Sheet2[ USOC_Charge ] ), FILTER ( ALL ( Sheet2 ), [AccountID] = SELECTEDVALUE ( Sheet2[AccountID] ) && [EOM Load Date] = SELECTEDVALUE ( Sheet2[EOM Load Date] ) ) )
How do you want to use Period (in Table A) in visualization?
How does Period (in Table A) affect sum of USOC Charges? Could you make me clear about these?
Best Regards
Maggie
Hi @matthew_hampton,
Can you provide your data in a table format or an in Excel format as you can imagine to duplicate the information you have and give you some help is difficult to replicate the data you have by images only, also provide the bridge table and expected result.
Thank you.
Regards,
MFelix
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsHi @MFelix
Attached are three Excel snapshots of the table structure.
What I am looking to do is create visualizations using Period (in Table A) where USOC Charges (In Table B) are summed where AccountID = AccountID and EOM Load Date = EOM Load Date. That will tie charges to an account number at a specified period.
Bridge Table:
AccountID |
12345 |
56789 |
98765 |
Table A
AccountID | EOM Load Date | Period |
12345 | 3/1/18 12:00 AM | -1 |
12345 | 4/1/18 12:00 AM | 0 |
12345 | 5/1/18 12:00 AM | 1 |
12345 | 6/1/18 12:00 AM | 2 |
12345 | 7/1/18 12:00 AM | 3 |
12345 | 8/1/18 12:00 AM | 4 |
12345 | 9/1/18 12:00 AM | 5 |
12345 | 10/1/18 12:00 AM | 6 |
12345 | 11/1/18 12:00 AM | 7 |
12345 | 12/1/18 12:00 AM | 8 |
12345 | 1/1/19 12:00 AM | 9 |
12345 | 2/1/19 12:00 AM | 10 |
12345 | 3/1/19 12:00 AM | 11 |
12345 | 4/1/19 12:00 AM | 12 |
56789 | 3/1/18 12:00 AM | -1 |
56789 | 4/1/18 12:00 AM | 0 |
56789 | 5/1/18 12:00 AM | 1 |
56789 | 6/1/18 12:00 AM | 2 |
56789 | 7/1/18 12:00 AM | 3 |
56789 | 8/1/18 12:00 AM | 4 |
56789 | 9/1/18 12:00 AM | 5 |
56789 | 10/1/18 12:00 AM | 6 |
56789 | 11/1/18 12:00 AM | 7 |
56789 | 12/1/18 12:00 AM | 8 |
56789 | 1/1/19 12:00 AM | 9 |
56789 | 2/1/19 12:00 AM | 10 |
56789 | 3/1/19 12:00 AM | 11 |
56789 | 4/1/19 12:00 AM | 12 |
98765 | 1/1/18 12:00 AM | -1 |
98765 | 2/1/18 12:00 AM | 0 |
98765 | 3/1/18 12:00 AM | 1 |
98765 | 4/1/18 12:00 AM | 2 |
98765 | 5/1/18 12:00 AM | 3 |
98765 | 6/1/18 12:00 AM | 4 |
98765 | 7/1/18 12:00 AM | 5 |
98765 | 8/1/18 12:00 AM | 6 |
98765 | 9/1/18 12:00 AM | 7 |
98765 | 10/1/18 12:00 AM | 8 |
98765 | 11/1/18 12:00 AM | 9 |
98765 | 12/1/18 12:00 AM | 10 |
98765 | 1/1/19 12:00 AM | 11 |
98765 | 2/1/19 12:00 AM | 12 |
Table B
AccountID | EOM Load Date | USOC_Charge |
12345 | 3/1/18 12:00 AM | $ 77.55 |
12345 | 4/1/18 12:00 AM | $ 22.62 |
12345 | 5/1/18 12:00 AM | $ 69.33 |
12345 | 6/1/18 12:00 AM | $ 78.06 |
12345 | 7/1/18 12:00 AM | $ 0.70 |
12345 | 8/1/18 12:00 AM | $ 118.66 |
12345 | 9/1/18 12:00 AM | $ 94.46 |
12345 | 10/1/18 12:00 AM | $ 92.28 |
12345 | 11/1/18 12:00 AM | $ 76.57 |
12345 | 12/1/18 12:00 AM | $ 60.30 |
12345 | 1/1/19 12:00 AM | $ 64.74 |
12345 | 2/1/19 12:00 AM | $ 29.28 |
12345 | 3/1/19 12:00 AM | $ 33.94 |
12345 | 4/1/19 12:00 AM | $ 117.38 |
56789 | 3/1/18 12:00 AM | $ 55.13 |
56789 | 4/1/18 12:00 AM | $ 26.41 |
56789 | 5/1/18 12:00 AM | $ 109.21 |
56789 | 6/1/18 12:00 AM | $ 9.35 |
56789 | 7/1/18 12:00 AM | $ 27.80 |
56789 | 8/1/18 12:00 AM | $ 106.71 |
56789 | 9/1/18 12:00 AM | $ 32.18 |
56789 | 10/1/18 12:00 AM | $ 72.95 |
56789 | 11/1/18 12:00 AM | $ 100.94 |
56789 | 12/1/18 12:00 AM | $ 35.34 |
56789 | 1/1/19 12:00 AM | $ 86.40 |
56789 | 2/1/19 12:00 AM | $ 95.15 |
56789 | 3/1/19 12:00 AM | $ 57.72 |
56789 | 4/1/19 12:00 AM | $ 19.50 |
98765 | 1/1/18 12:00 AM | $ 56.95 |
98765 | 2/1/18 12:00 AM | $ 1.41 |
98765 | 3/1/18 12:00 AM | $ 104.44 |
98765 | 4/1/18 12:00 AM | $ 92.68 |
98765 | 5/1/18 12:00 AM | $ 44.42 |
98765 | 6/1/18 12:00 AM | $ 113.94 |
98765 | 7/1/18 12:00 AM | $ 24.90 |
98765 | 8/1/18 12:00 AM | $ 55.38 |
98765 | 9/1/18 12:00 AM | $ 76.33 |
98765 | 10/1/18 12:00 AM | $ 47.40 |
98765 | 11/1/18 12:00 AM | $ 3.56 |
98765 | 12/1/18 12:00 AM | $ 68.52 |
98765 | 1/1/19 12:00 AM | $ 71.79 |
98765 | 2/1/19 12:00 AM | $ 77.53 |
12345 | 3/1/18 12:00 AM | $ 60.96 |
12345 | 4/1/18 12:00 AM | $ 103.70 |
12345 | 5/1/18 12:00 AM | $ 76.17 |
12345 | 6/1/18 12:00 AM | $ 60.20 |
12345 | 7/1/18 12:00 AM | $ 50.82 |
12345 | 8/1/18 12:00 AM | $ 99.11 |
12345 | 9/1/18 12:00 AM | $ 94.23 |
12345 | 10/1/18 12:00 AM | $ 23.97 |
12345 | 11/1/18 12:00 AM | $ 60.65 |
12345 | 12/1/18 12:00 AM | $ 66.46 |
12345 | 1/1/19 12:00 AM | $ 113.50 |
12345 | 2/1/19 12:00 AM | $ 117.31 |
12345 | 3/1/19 12:00 AM | $ 70.51 |
12345 | 4/1/19 12:00 AM | $ 69.50 |
56789 | 3/1/18 12:00 AM | $ 101.76 |
56789 | 4/1/18 12:00 AM | $ 47.67 |
56789 | 5/1/18 12:00 AM | $ 21.09 |
56789 | 6/1/18 12:00 AM | $ 43.91 |
56789 | 7/1/18 12:00 AM | $ 34.22 |
56789 | 8/1/18 12:00 AM | $ 114.06 |
56789 | 9/1/18 12:00 AM | $ 91.24 |
56789 | 10/1/18 12:00 AM | $ 70.55 |
56789 | 11/1/18 12:00 AM | $ 37.39 |
56789 | 12/1/18 12:00 AM | $ 45.25 |
56789 | 1/1/19 12:00 AM | $ 97.57 |
56789 | 2/1/19 12:00 AM | $ 19.61 |
56789 | 3/1/19 12:00 AM | $ 58.42 |
56789 | 4/1/19 12:00 AM | $ 106.59 |
98765 | 1/1/18 12:00 AM | $ 97.24 |
98765 | 2/1/18 12:00 AM | $ 25.53 |
98765 | 3/1/18 12:00 AM | $ 65.36 |
98765 | 4/1/18 12:00 AM | $ 112.28 |
98765 | 5/1/18 12:00 AM | $ 7.49 |
98765 | 6/1/18 12:00 AM | $ 55.21 |
98765 | 7/1/18 12:00 AM | $ 96.36 |
98765 | 8/1/18 12:00 AM | $ 20.20 |
98765 | 9/1/18 12:00 AM | $ 11.71 |
98765 | 10/1/18 12:00 AM | $ 54.52 |
98765 | 11/1/18 12:00 AM | $ 55.53 |
98765 | 12/1/18 12:00 AM | $ 14.94 |
98765 | 1/1/19 12:00 AM | $ 6.33 |
98765 | 2/1/19 12:00 AM | $ 37.64 |
12345 | 3/1/18 12:00 AM | $ 89.76 |
12345 | 4/1/18 12:00 AM | $ 69.25 |
12345 | 5/1/18 12:00 AM | $ 63.32 |
12345 | 6/1/18 12:00 AM | $ 65.18 |
12345 | 7/1/18 12:00 AM | $ 65.86 |
12345 | 8/1/18 12:00 AM | $ 106.23 |
12345 | 9/1/18 12:00 AM | $ 51.29 |
12345 | 10/1/18 12:00 AM | $ 65.64 |
12345 | 11/1/18 12:00 AM | $ 102.04 |
12345 | 12/1/18 12:00 AM | $ 68.47 |
12345 | 1/1/19 12:00 AM | $ 47.55 |
12345 | 2/1/19 12:00 AM | $ 99.94 |
12345 | 3/1/19 12:00 AM | $ 75.78 |
12345 | 4/1/19 12:00 AM | $ 41.39 |
56789 | 3/1/18 12:00 AM | $ 5.50 |
56789 | 4/1/18 12:00 AM | $ 56.80 |
56789 | 5/1/18 12:00 AM | $ 112.26 |
56789 | 6/1/18 12:00 AM | $ 32.94 |
56789 | 7/1/18 12:00 AM | $ 22.11 |
56789 | 8/1/18 12:00 AM | $ 34.50 |
56789 | 9/1/18 12:00 AM | $ 60.07 |
56789 | 10/1/18 12:00 AM | $ 48.60 |
56789 | 11/1/18 12:00 AM | $ 117.86 |
56789 | 12/1/18 12:00 AM | $ 1.63 |
56789 | 1/1/19 12:00 AM | $ 7.50 |
56789 | 2/1/19 12:00 AM | $ 24.54 |
56789 | 3/1/19 12:00 AM | $ 48.61 |
56789 | 4/1/19 12:00 AM | $ 119.79 |
98765 | 1/1/18 12:00 AM | $ 81.06 |
98765 | 2/1/18 12:00 AM | $ 21.01 |
98765 | 3/1/18 12:00 AM | $ 4.22 |
98765 | 4/1/18 12:00 AM | $ 18.24 |
98765 | 5/1/18 12:00 AM | $ 97.74 |
98765 | 6/1/18 12:00 AM | $ 35.11 |
98765 | 7/1/18 12:00 AM | $ 65.60 |
98765 | 8/1/18 12:00 AM | $ 83.68 |
98765 | 9/1/18 12:00 AM | $ 83.75 |
98765 | 10/1/18 12:00 AM | $ 104.29 |
98765 | 11/1/18 12:00 AM | $ 62.05 |
98765 | 12/1/18 12:00 AM | $ 67.64 |
98765 | 1/1/19 12:00 AM | $ 87.09 |
98765 | 2/1/19 12:00 AM | $ 59.23 |
12345 | 3/1/18 12:00 AM | $ 32.63 |
12345 | 4/1/18 12:00 AM | $ 3.61 |
12345 | 5/1/18 12:00 AM | $ 16.01 |
12345 | 6/1/18 12:00 AM | $ 38.17 |
12345 | 7/1/18 12:00 AM | $ 16.29 |
12345 | 8/1/18 12:00 AM | $ 76.40 |
12345 | 9/1/18 12:00 AM | $ 77.10 |
12345 | 10/1/18 12:00 AM | $ 86.67 |
12345 | 11/1/18 12:00 AM | $ 78.53 |
12345 | 12/1/18 12:00 AM | $ 29.82 |
12345 | 1/1/19 12:00 AM | $ 64.31 |
12345 | 2/1/19 12:00 AM | $ 108.67 |
12345 | 3/1/19 12:00 AM | $ 104.45 |
12345 | 4/1/19 12:00 AM | $ 64.22 |
56789 | 3/1/18 12:00 AM | $ 30.77 |
56789 | 4/1/18 12:00 AM | $ 105.79 |
56789 | 5/1/18 12:00 AM | $ 110.69 |
56789 | 6/1/18 12:00 AM | $ 29.00 |
56789 | 7/1/18 12:00 AM | $ 9.79 |
56789 | 8/1/18 12:00 AM | $ 28.39 |
56789 | 9/1/18 12:00 AM | $ 59.57 |
56789 | 10/1/18 12:00 AM | $ 48.82 |
56789 | 11/1/18 12:00 AM | $ 9.41 |
56789 | 12/1/18 12:00 AM | $ 70.07 |
56789 | 1/1/19 12:00 AM | $ 20.06 |
56789 | 2/1/19 12:00 AM | $ 99.93 |
56789 | 3/1/19 12:00 AM | $ 57.90 |
56789 | 4/1/19 12:00 AM | $ 64.26 |
98765 | 1/1/18 12:00 AM | $ 67.86 |
98765 | 2/1/18 12:00 AM | $ 53.07 |
98765 | 3/1/18 12:00 AM | $ 39.21 |
98765 | 4/1/18 12:00 AM | $ 84.36 |
98765 | 5/1/18 12:00 AM | $ 6.87 |
98765 | 6/1/18 12:00 AM | $ 44.89 |
98765 | 7/1/18 12:00 AM | $ 101.80 |
98765 | 8/1/18 12:00 AM | $ 41.34 |
98765 | 9/1/18 12:00 AM | $ 31.54 |
98765 | 10/1/18 12:00 AM | $ 22.20 |
98765 | 11/1/18 12:00 AM | $ 19.28 |
98765 | 12/1/18 12:00 AM | $ 48.96 |
98765 | 1/1/19 12:00 AM | $ 110.47 |
98765 | 2/1/19 12:00 AM | $ 20.66 |
I could not figure out how to attach an Excel file so if this does not help, please let me know and I will provide sample data another way.
Matt
Create relationships between Table A and Table B by Bridge Table
Calculate sum of USOC Charges where AccountID = AccountID and EOM Load Date = EOM Load Date
Measure = CALCULATE ( SUM ( Sheet2[ USOC_Charge ] ), FILTER ( ALL ( Sheet2 ), [AccountID] = SELECTEDVALUE ( Sheet2[AccountID] ) && [EOM Load Date] = SELECTEDVALUE ( Sheet2[EOM Load Date] ) ) )
How do you want to use Period (in Table A) in visualization?
How does Period (in Table A) affect sum of USOC Charges? Could you make me clear about these?
Best Regards
Maggie
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