Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
I have a dataset of Products that are listed in various websites(Own Website, Amazon and Others) and is marked as present with '1'.
1. I want to analyse this data to check the number of unique products present in these website(basically the count of products in each of these sites and the combinations too).
a. Own Website(not necessarily all products to be listed in own website).
b. Amazon.
c. Other websites
2. Visually represent the products/count of products which are present in combination of these webistes(for ex: Own Website+Amazon,Own Website+Others,Others+Amazon etc.,)
3.Count of Unique Products listed in all the 3 categories of websites.
Can someone please help with this, also please let me know if additional info is required.
Thanks in advance!
Solved! Go to Solution.
Hi @abhishek_2593 ,
The results are as follows.
You can download my attachment for more details.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @abhishek_2593 ,
The results are as follows.
You can download my attachment for more details.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Simple enough, unpivot Amazon, own site, other sites columns to slice and dice the dataset.
| Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 63 | |
| 55 | |
| 42 | |
| 41 | |
| 23 |
| User | Count |
|---|---|
| 171 | |
| 136 | |
| 119 | |
| 79 | |
| 54 |