Showing a change in sales against previous time range with a changing date

[Berl21]

Hi,

I want to build a report with a change to a specific time range. To do so, I have to rely on a table which gives me the name of the account and then the date where a specific action as been taken.

So for example I have a CSV with: 

Client A; 01.05.2021

Client B; 01.01.2019

Client C; 01.10.2020

In my end table I want to show the number of sales before these dates and after these dates.

It should look similar to this:

Usual time intelligence functions won't work here. How do I solve this?

Thanks in advance 🙂 

[v-chenwuz-msft · Accepted solution]

Hi @Berl21 ,

I assum your data looks like this:

Create measures via the following code:

sales before =
SUMX (
    FILTER ( 'Table', [date] < SELECTEDVALUE ( 'special date'[special date] ) ),
    [sales]
)

sales after =
SUMX (
    FILTER ( 'Table', [date] >= SELECTEDVALUE ( 'special date'[special date] ) ),
    [sales]
)

Result:

Pbix in the end you can refer.

Best Regards

Community Support Team _ chenwu zhu

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[tamerj1]

Hi @Berl21 

you may try

Sales before =
COUNTROWS (
    FILTER (
        CALCULATETABLE ( Table, ALLEXCEPT ( Table, Table[Client name] ) ),
        Table[Date] <= SELECTEDVALUE ( Table[Date] )
    )
)

Sales after =
COUNTROWS (
    FILTER (
        CALCULATETABLE ( Table, ALLEXCEPT ( Table, Table[Client name] ) ),
        Table[Date] >= SELECTEDVALUE ( Table[Date] )
    )
)

[Arul]

@Berl21 ,

Can you share sample sales data?

Thanks,

Arul