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Hello,
I have something as this table below and i want to create a mesure (as a reliability index).
The price here is a declared information, not always certain.
The idea is : if the selected period (with a slicer) has for example 30 registrations than do : create this performance index depending the number of registrations (i will think about it later) . If there are less, for example only 2 regitrations than we cannot give it the same performance or reliability index.
What i mean is we cannot consider that this price is reliable if there are few observations during the selected period. Than i want to rate it from 1 to 10.
Let's say i select something from March to April (30 days) and we have 2 registrations per day of the declared Price : i will consider the information as Good i will give it maybe 8/10 on a CARD. If there are more than 4 observations per day i will definitely give it a 10/10. But, if with my slicer i select from 1st June to 10 June and there is only three observations, than my confidence in the reliability of the price will be only 3/10 on that CARD (depending on my condition that i will define later).
My question how can i create a interactive formula that recognize the number of selected observation when i use the Dates slicer or any other slicer?
| Price | ||
| 01 March | 7 | |
| 03 March | 8 | |
| 09-March | 9 | |
| 09- March | 7,5 | |
| 15-March | 8,6 | |
| .... | ||
| 30 April | 6 | |
| 08 June | 8,5 | |
| .... |
Thank you all
Hi @Ania_Learn ,
I am not clear about your requirement, if possible could you please inform me more detailed information(such as your expected output and your sample data )? Then I will help you more correctly.
Please do mask sensitive data before uploading.
Thanks for your understanding and support.
Best Regards,
Zoe Zhi
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I tried to retrieve publicly avaiable information from ERCO ( Electricity and Reliability Counsel of Texsas). Power BI gives me the following message.
Any suggestion on how to solve this problem?
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