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How can I count diferent sales inside Combo Order?
There is a table with all services (table_services) and another with combos (table_combos).
In the "transactions_table" use all the codes, but the challenge is report total of services and minutes sales in a bar graphic.
For Examples:
Service 1 - 10 Sales - 300 minutes
Service 2 - 10 Sales - 450 minutes
...
Is possible create a measure to calculate this?
The tables are bellow:
table_services
IDService | Name | Duration (min) |
501 | Service1 | 30 |
502 | Service2 | 45 |
503 | Service3 | 90 |
504 | Service4 | 60 |
table_combos
IDcombos | Description |
1005 | 2 x 502 + 3 x 504 |
1006 | 6 x 501 |
transactions_table
Date | Orderid | Clientid | IDs |
20/02/2019 | 0123 | 001 | 1005 |
20/02/2019 | 0123 | 001 | 504 |
01/03/2019 | 0156 | 002 | 1006 |
02/03/2019 | 0189 | 003 | 501 |
Solved! Go to Solution.
Hi @brunofranc ,
Please refer to my .pbix file.
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @brunofranc ,
How are these two values calculated? I don't quite understand their calculation logic.
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
For example, in order id 123, there are 1 combo 1005 and 1 of 504.
Combo 1005 is:
2 x IDService 502 and 3 x Service ID504
And then 2 x 45 = 90 min
3 x 60 = 180 min
And the amount is 2 +3 = 5
Hi @brunofranc ,
Please refer to my .pbix file.
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@brunofranc , You need to split table_combos twice.
Split Description by + in new rows
And the split the new column into 2 columns on X
You will have your combo split into a row with Qty and service Id
Refer how to do (Edit Query = Data Transformation )
https://www.tutorialgateway.org/how-to-split-columns-in-power-bi/
It's not in this way.
Maybe like this:
The ID equals a sum of other 2 IDs.
User | Count |
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86 | |
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User | Count |
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123 | |
100 | |
90 | |
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