Microsoft Fabric Community Conference 2025, March 31 - April 2, Las Vegas, Nevada. Use code MSCUST for a $150 discount.
Register nowThe Power BI DataViz World Championships are on! With four chances to enter, you could win a spot in the LIVE Grand Finale in Las Vegas. Show off your skills.
Dear power bi users,
I have a problem that has been bothering me for many days. I have two tables of this type:
1) customer base table: here are all the company's customers
2) table with customer purchases with date and product category. I would like to understand if it is possible to allow the user to be able to select, through filters, a range of dates and a category in which the customer has made a purchase.
Example: the user can select customers who bought pears in January 2023 and at the same time customers who did not buy apples in March 2023. The starting tables are as follows:
Customer ID list:
ID |
1 |
2 |
3 |
... |
1000 |
Customer purchases:
ID | Date | Cathegory |
1 | 01/01/2023 | Pear |
2 | 01/01/2023 | Apple |
2 | 01/03/2023 | Pear |
... | ||
1000 | 01/03/2023 | Pear |
the final result, after the user has applied the filters by date and category:
ID |
1 |
So, is it possible to allow the user to apply double filter? (positive and negative)
Hi @Anonymous ,
You can refer to this post . It is simlar to your use case.
https://community.fabric.microsoft.com/t5/Desktop/Creating-an-inverse-filter/m-p/2086462
Thanks ,
Pratyasha Samal
Has this post solved your problem? Please Accept as Solution so that others can find it quickly and to let the community know your problem has been solved.
If you found this post helpful, please give Kudos C
Proud to be a Super User!
May be you can create a separate disconnected table to achieve this. give me some sample data to work on it
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
User | Count |
---|---|
126 | |
78 | |
78 | |
59 | |
51 |
User | Count |
---|---|
164 | |
84 | |
68 | |
68 | |
58 |