Creating An Average Ticket Formula

[CuriousGuy001]

Hi everyone,

I am new to DAX, the reason I got into this thread was because I am trying to sort out a calculation that I want to input it for my dashboard visualization, that is, the Total Number of Sales/Total Count, for the Total Count I do want to filter 4 values out of 10 values. For example, Total Sales/Total Count(Installed Scheduled, Closed Won, Contract Signed, Installed Completed). It would be nice if I can see the calculation, so I can play around and see if I can get the result I want. Thank you in advance! 

[Anonymous · Accepted solution]

Hi @CuriousGuy001 ,

(1) This is my test data. 

(2) We can create measures. 

Total Sales = SUM('Table'[sales])

Filtered Count = CALCULATE(
                     COUNTA('Table'[Status]),
                     FILTER(
                        'Table',
                         'Table'[Status] IN {"Installed Scheduled", "Closed Won", "Contract Signed", "Installed Completed"}
                     )
                 )

Average Ticket Size = DIVIDE([Total Sales], [Filtered Count])

(3) Then the result is as follows.

If the above one can't help you get the desired result, please provide some sample data in your tables (exclude sensitive data) with Text format and your expected result with backend logic and special examples. It is better if you can share a simplified pbix file. Thank you.

Best Regards,

Neeko Tang

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

[CuriousGuy001]

Hi there,

Thank you for this modelling and vizualization and yes this is what I was looking for. I appreciate it! 

[WinterMist]

@CuriousGuy001 

Is it possible to provide more context?

- screenshot of model, showing tables & relationships

- sample table data (10 rows or less)

- screenshot (from Excel perhaps) of desired visual output

Regards,

Nathan

[CuriousGuy001]

Hi Nathan,

Thank you, but one of the community support provided me with I was looking for. Once again thank you dropping by and helping me!