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## DYNAMIC INDEX WITH RANKX - SLICERS

Hello!

I am working with a data series that relates a "result" (pH, mass, etc) to "sample code" and, in order to calculate my intersect, slope and R² I need an index starting with 1

But when I filter my data, I need that the first sample be reenumerated to 1. Ex:

- First analysis: Sample 1 to 20 (1 = 1,  2 = 2, 3 = 3, ..., 20 samples)

- Second analysis: Sample 8 to 16 (8 = 1, 9 = 2, 10 = 3, ..., 16 = 9). For this I suppose ALLSELECTED is needed

I need all the samples ranked by date (ascending), and, if a date repeats for a distinct sample, it's still ranked as a different number (Ex: B2AA/22 and B3AA/22) were analysed the same day, but are different samples, so B2AA/22 = 1 and B3AA/22 = 2)

The same way I want select samples of annother product, ex: B1AA/22 - B12AA/22, and, when I change the products the index restart with 1.

Is there a way to rank them in a way that every sample has a different number, in ascending order, according to date and that restarts the count with my slicers selection?

I tried:

rank =
RANKX(
ALLSELECTED(Plan1[DATE]),
CALCULATE(
MIN(Plan1[DATE])),,ASC,Dense)
-------------------------------------------
But, the rank just repeats the same number...

I expalin with more details of the statistics on DAX on LINEAR REGRESSION - X-AXIS IN TEXT FORMAT - Microsoft Power BI Community

Any ideas?

Thank you very much

2 REPLIES 2
Community Support

Hi @pedroluccas

Thanks for reaching out to us.

>> Is there a way to rank them in a way that every sample has a different number, in ascending order, according to date and that restarts the count with my slicers selection?

could you share a sample .pbix file that fully covers your question, including the slicers.

Best Regards,

Community Support Team _Tang

If this post helps, please consider Accept it as the solution to help the other members find it more quickly.

Frequent Visitor

Hi, @v-xiaotang

I attached a Drive link since I am not able to upload a .pbix file (seems that new users have restrictions)

Thank You

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