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I am trying to rank the customers based on the margins, however, I am facing issues with the ranking results, in particular, the unexpected ranks on negative numbers.
Without using tie Dense,
I am wondering why it gave me such results? and how can I fix it?
I am expecting the ranking for the first negative number -0.05 is 2735
Please help.
Measures that I used:
Solved! Go to Solution.
Hi @dgdgdg122db
If RRANKX with Dense fixes the issue why not just use that?
Please see the RANKX function description that explains how the Dense below.
https://docs.microsoft.com/en-us/dax/rankx-function-dax
If you want to know why it accrues you will need to investigate your Model, 'Customer EMEA ' is probably a good start.
Hi, @dgdgdg122db
Based on your description, I created data to reproduce your scenario.
Here is the Rankx function.
RANKX(<table>, <expression>[, <value>[, <order>[, <ties>]]])
The default value of last parameter 'ties' is 'Skip'. For 'Skip', the next rank value, after a tie, is the rank value of the tie plus the count of tied values. In my example, one(1) values are tied with a rank of 1 then the next value will receive a rank of 4(1+3).
Whle for 'Dense', the next rank value, after a tie, is the next rank value. In my example, one(1) values are tied with a rank of 1 then the next value will receive a rank of 2.
For further information, you may refer to the following link.
https://docs.microsoft.com/en-us/dax/rankx-function-dax
Best Regards
Allan
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @dgdgdg122db
If RRANKX with Dense fixes the issue why not just use that?
Please see the RANKX function description that explains how the Dense below.
https://docs.microsoft.com/en-us/dax/rankx-function-dax
If you want to know why it accrues you will need to investigate your Model, 'Customer EMEA ' is probably a good start.
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