Starting December 3, join live sessions with database experts and the Microsoft product team to learn just how easy it is to get started
Learn moreGet certified in Microsoft Fabric—for free! For a limited time, get a free DP-600 exam voucher to use by the end of 2024. Register now
So, here is a sample dataset of how my Sales Table is:
Sales Table:
What I need to do, is understand which are the most common "product combinations" based on this table. An example of the "desirable" output table would be something like the below screenshot:
Product Combos Table:
Any help will be much appreciated!
Thanks!
Solved! Go to Solution.
Ah okay,
try this one:
I've highlighted the only change to the calculated column
Hi,
try this calculated column:
If I answered your question, please mark my post as solution, Appreciate your Kudos 👍
Hi! First of all, thanks for your help.
So, I added the calculated column to my "Sales Table", so now I get the concatenate of the products that were part of that order.
Then, I create a table in Power BI adding the new calculated column (AKA Product Combo), and add the OrderID value as a distinct count, and I get the outcome of how many orders had that combo.
The only thing, is that when an Order has more than "1" product as part of the combo, that is not been considered.
Example:
Order Z: 2 x product A + 3 x Product B
Outcome should be A & A & A & B & B, now im only getting A & B.
Is there a way we could implement this consideration based on the Net Quantity from Sales Table?
Ah okay,
try this one:
I've highlighted the only change to the calculated column
Amazing. It worked like a charm!
One final thing. If I would like to exclude a product from this formula, where should the filter be applied/hardcode?
Starting December 3, join live sessions with database experts and the Fabric product team to learn just how easy it is to get started.
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early Bird pricing ends December 9th.
User | Count |
---|---|
94 | |
92 | |
83 | |
71 | |
49 |
User | Count |
---|---|
143 | |
120 | |
110 | |
59 | |
57 |