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akasonia
Frequent Visitor

Calculate balance

I have 4 tables(Charges, payments,penalties, and adjustments) that I combined into 1 large table using power query in Power BI. The new table has 3 columns: Description, Transaction date and Amount. I would like to create a new column (Balance).

Balance for the first charge on 7/1/2010 equal the charge Amount 226.87

Next Balance(Payment)= 0.00 made on 7/21/2010 (Charge Amount[226.87]+Payment Amount[-228.87])

The next items balance will the actual balance +the next amount.
Here is a Screenshoot of the report I would like to reproduce.

akasonia_1-1715806498540.png

Thank you in advance for your help

 

 

3 ACCEPTED SOLUTIONS
danextian
Super User
Super User

hi @akasonia 

 

Try this as a calculated column:

CALCULATE (
    SUM ( 'table'[Amount] ),
    FILTER (
        ALL ( 'table' ),
        'table'[Date] <= EARLIER ( 'table'[Date] )
            && 'table'[customer code] = EARLIER ( 'table'[customer code] )
    )
)

 

This as a measure assuming you a have separate dates/calendar table that has a one to many relationship to your fact table.

CALCULATE (
    SUM ( 'table'[Amount] ),
    FILTER (
        ALL ( 'datesTable' ),
        'datesTable'[Date] <= MAX ( 'datesTable'[Date] )
    )
)

You can cretae one using the CALENDAR function in DAX.

 

The formulas above aside,  I would keep those four tables separate instead of combining them and just use dimension tables and relationships to bridge them all. I can imagine how slow the refresh will eventually be if it isn't slow yet.










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View solution in original post

Did you use a separate dates table? If so, did you use the column from the dates table?  Not using a separate dates table in time intelligence calculations can cause ndesirable results.










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"Tell me and I’ll forget; show me and I may remember; involve me and I’ll understand."
Need Power BI consultation, get in touch with me on LinkedIn or hire me on UpWork.
Learn with me on YouTube @DAXJutsu or follow my page on Facebook @DAXJutsuPBI.

View solution in original post

Thank you very much @danextian . I was able to solve my problem based on the DAX and suggestions you provided.
I created the first measure: 

Accumulation by date = CALCULATE(
    SUM('vw_trans_charges'[Amount]),
    FILTER(
        ALLEXCEPT('vw_trans_charges', 'vw_trans_charges'[AccountNumber]),
        'vw_trans_charges'[TransactionDate] <= MAX('vw_trans_charges'[TransactionDate])
    )
)
and used it to create my final measure:
Running Accumulation = CALCULATE(
    [Accumulation by date],
    FILTER(
        'vw_trans_charges',
        'vw_trans_charges'[TransactionDate] >= MIN('Calendar'[Date]) &&
        'vw_trans_charges'[TransactionDate] <= MAX('Calendar'[Date])
    )
).

I have one more question. Since I am pulling the data(Tables) from a SQL database, what will happened to my report when the server is shut down?
NB: This is historical data(last transation date is 2023). I won't need to refresh the report and I used import mode.

View solution in original post

6 REPLIES 6
Ashish_Mathur
Super User
Super User

Nothing can be understood from that very small image.  Share data in a format that can be pasted in an MS Excel file.  Show the expected result very clearly.


Regards,
Ashish Mathur
http://www.ashishmathur.com
https://www.linkedin.com/in/excelenthusiasts/
danextian
Super User
Super User

hi @akasonia 

 

Try this as a calculated column:

CALCULATE (
    SUM ( 'table'[Amount] ),
    FILTER (
        ALL ( 'table' ),
        'table'[Date] <= EARLIER ( 'table'[Date] )
            && 'table'[customer code] = EARLIER ( 'table'[customer code] )
    )
)

 

This as a measure assuming you a have separate dates/calendar table that has a one to many relationship to your fact table.

CALCULATE (
    SUM ( 'table'[Amount] ),
    FILTER (
        ALL ( 'datesTable' ),
        'datesTable'[Date] <= MAX ( 'datesTable'[Date] )
    )
)

You can cretae one using the CALENDAR function in DAX.

 

The formulas above aside,  I would keep those four tables separate instead of combining them and just use dimension tables and relationships to bridge them all. I can imagine how slow the refresh will eventually be if it isn't slow yet.










Did I answer your question? Mark my post as a solution!


Proud to be a Super User!









"Tell me and I’ll forget; show me and I may remember; involve me and I’ll understand."
Need Power BI consultation, get in touch with me on LinkedIn or hire me on UpWork.
Learn with me on YouTube @DAXJutsu or follow my page on Facebook @DAXJutsuPBI.

Thank you @danextian for your assistance. I tried the measure but I am still stuck.
I created the measure and add it to my table. I added Transaction Date, the amount, the Measure(Cummulative Amount) and it worked untill I added the description column on the table or when I apply a filter(Account number). 
For this report I will need to filter the table by the Customer Number.
Thank you

Did you use a separate dates table? If so, did you use the column from the dates table?  Not using a separate dates table in time intelligence calculations can cause ndesirable results.










Did I answer your question? Mark my post as a solution!


Proud to be a Super User!









"Tell me and I’ll forget; show me and I may remember; involve me and I’ll understand."
Need Power BI consultation, get in touch with me on LinkedIn or hire me on UpWork.
Learn with me on YouTube @DAXJutsu or follow my page on Facebook @DAXJutsuPBI.

Thank you very much @danextian . I was able to solve my problem based on the DAX and suggestions you provided.
I created the first measure: 

Accumulation by date = CALCULATE(
    SUM('vw_trans_charges'[Amount]),
    FILTER(
        ALLEXCEPT('vw_trans_charges', 'vw_trans_charges'[AccountNumber]),
        'vw_trans_charges'[TransactionDate] <= MAX('vw_trans_charges'[TransactionDate])
    )
)
and used it to create my final measure:
Running Accumulation = CALCULATE(
    [Accumulation by date],
    FILTER(
        'vw_trans_charges',
        'vw_trans_charges'[TransactionDate] >= MIN('Calendar'[Date]) &&
        'vw_trans_charges'[TransactionDate] <= MAX('Calendar'[Date])
    )
).

I have one more question. Since I am pulling the data(Tables) from a SQL database, what will happened to my report when the server is shut down?
NB: This is historical data(last transation date is 2023). I won't need to refresh the report and I used import mode.

Unless the data from that SQL server is in a separate query and refresh for that has been disabled, you will have an error when refreshing the semantic model. Referencing the SQL query in another query even  if the the load for that SQL query has been disabled will also cause an error. I would suggest to store SQL data somewhere or use dataflow which will store its output in Azure Datalake Storage. You can still create transformations on top of the output of a dataflow.










Did I answer your question? Mark my post as a solution!


Proud to be a Super User!









"Tell me and I’ll forget; show me and I may remember; involve me and I’ll understand."
Need Power BI consultation, get in touch with me on LinkedIn or hire me on UpWork.
Learn with me on YouTube @DAXJutsu or follow my page on Facebook @DAXJutsuPBI.

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