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Anonymous
Not applicable

Calculate Totals per Keyword

Hi everyone,

Please, can someone help me with the next challenge in Power BI?

I’ve got the next table:
afbeelding

and I want to calculate the amount per keyword:

 

 

The challenge is to calculate all the amounts after a certain date to the following date with the next keyword.

Hopefully you understand what I mean by looking at the 2 examples.

When calculating in Power BI I’ve got the next report and this is not what I want :wink: :

afbeelding

Thanks in advance,

180608 Test Enterprise DNA - Amount per Keyword.xlsx 1 (12.2 KB)

180608 BI2-89 Total Amount per Keyword.pbix 2 (102.6 KB)

3 ACCEPTED SOLUTIONS

@Anonymous

 

Try this calculated column

 

Column =
IF (
    ISBLANK ( 'Table Invoices'[Keyword] ),
    CONCATENATEX (
        TOPN (
            1,
            FILTER (
                'Table Invoices',
                'Table Invoices'[Customernumber] = EARLIER ( 'Table Invoices'[Customernumber] )
                    && NOT ( ISBLANK ( 'Table Invoices'[Keyword] ) )
                    && 'Table Invoices'[Invoicedate] < EARLIER ( 'Table Invoices'[Invoicedate] )
            ),
            [Invoicedate], DESC
        ),
        'Table Invoices'[Keyword],
        ", "
    ),
    'Table Invoices'[Keyword]
)

View solution in original post

@Anonymous

 

Sorry for late reply.

 

It works like this

 

1) The Filter part filters the table and grabs only rows with a) same customer number b) non blank key words c) where date is before the current row date

 

FILTER (
                'Table Invoices',
                'Table Invoices'[Customernumber] = EARLIER ( 'Table Invoices'[Customernumber] )
                    && NOT ( ISBLANK ( 'Table Invoices'[Keyword] ) )
                    && 'Table Invoices'[Invoicedate] < EARLIER ( 'Table Invoices'[Invoicedate] )
            )

 

2) TOPN filters this (already filtered) table further and grabs the row with the maximum date

 

3) from above steps we have a single row of all the Columns in the Table...But we need only "Key Word" column. So I used an ITERATOR to grab it...We could also have used other ITERATORS like MINX or MAXX.....or other techniques like selectcolumns as well

 

View solution in original post

Anonymous
Not applicable

Thank you very much, @Zubair_Muhammad, it clear things up for me. Thumbs up, 🙂

View solution in original post

11 REPLIES 11
Zubair_Muhammad
Community Champion
Community Champion

HI @Anonymous

 

Try this MEASURE

 

Measure =
VAR mydate =
    MAX ( 'Table Invoices'[Invoicedate] )
VAR nextnonblankdate =
    CALCULATE (
        MIN ( 'Table Invoices'[Invoicedate] ),
        FILTER (
            ALLEXCEPT ( 'Table Invoices', 'Table Invoices'[Customernumber] ),
            'Table Invoices'[Invoicedate] > mydate
                && NOT ( ISBLANK ( 'Table Invoices'[Keyword] ) )
        )
    )
RETURN
    SWITCH (
        TRUE (),
        ISBLANK ( SELECTEDVALUE ( 'Table Invoices'[Keyword] ) ), BLANK (),
        ISBLANK ( nextnonblankdate ), SUM ( 'Table Invoices'[Amount excl VAT] ),
        CALCULATE (
            SUM ( 'Table Invoices'[Amount excl VAT] ),
            FILTER (
                ALLEXCEPT ( 'Table Invoices', 'Table Invoices'[Customernumber] ),
                'Table Invoices'[Invoicedate] >= mydate
                    && 'Table Invoices'[Invoicedate] < nextnonblankdate
            )
        )
    )

@Anonymous

 

Please see attached file as well

 

keywords.png

Anonymous
Not applicable

@Zubair_Muhammad

 

Thanks for your feedback!

 

Your formula gives the following result:

PBI1.PNG

 

The correct answer should be:

 PBI2.PNG

 

Maybe there is also a solution in Power Query? 

Can you give it another try?

 

Thanks in advance,

 

@Anonymous

 

Try this calculated column

 

Column =
IF (
    ISBLANK ( 'Table Invoices'[Keyword] ),
    CONCATENATEX (
        TOPN (
            1,
            FILTER (
                'Table Invoices',
                'Table Invoices'[Customernumber] = EARLIER ( 'Table Invoices'[Customernumber] )
                    && NOT ( ISBLANK ( 'Table Invoices'[Keyword] ) )
                    && 'Table Invoices'[Invoicedate] < EARLIER ( 'Table Invoices'[Invoicedate] )
            ),
            [Invoicedate], DESC
        ),
        'Table Invoices'[Keyword],
        ", "
    ),
    'Table Invoices'[Keyword]
)

Anonymous
Not applicable

Fantastic, @Zubair_Muhammad, you've made my day! Thank you very much! 

 

 

Anonymous
Not applicable

@Zubair_Muhammad,

 

I am trying to understand your calculated column-formula. 

Can you explain exactly what you did? 

I want to learn from it. 🙂 

Anonymous
Not applicable

This part:

CONCATENATEX (
        TOPN (
            1,
            FILTER (
                'Table Invoices',
                'Table Invoices'[Customernumber] = EARLIER ( 'Table Invoices'[Customernumber] )
                    && NOT ( ISBLANK ( 'Table Invoices'[Keyword] ) )
                    && 'Table Invoices'[Invoicedate] < EARLIER ( 'Table Invoices'[Invoicedate] )
            ),
            [Invoicedate], DESC
        ),
        'Table Invoices'[Keyword],
        ", "
    ),

@Anonymous

 

Sorry for late reply.

 

It works like this

 

1) The Filter part filters the table and grabs only rows with a) same customer number b) non blank key words c) where date is before the current row date

 

FILTER (
                'Table Invoices',
                'Table Invoices'[Customernumber] = EARLIER ( 'Table Invoices'[Customernumber] )
                    && NOT ( ISBLANK ( 'Table Invoices'[Keyword] ) )
                    && 'Table Invoices'[Invoicedate] < EARLIER ( 'Table Invoices'[Invoicedate] )
            )

 

2) TOPN filters this (already filtered) table further and grabs the row with the maximum date

 

3) from above steps we have a single row of all the Columns in the Table...But we need only "Key Word" column. So I used an ITERATOR to grab it...We could also have used other ITERATORS like MINX or MAXX.....or other techniques like selectcolumns as well

 

Anonymous
Not applicable

Thank you very much, @Zubair_Muhammad, it clear things up for me. Thumbs up, 🙂

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