topic Re: Rank column in a table visualization with multiple categories coming from different sources in DAX Commands and Tips

Rank column in a table visualization with multiple categories coming from different sources

Anonymous — Fri, 07 Jan 2022 10:46:04 GMT

Hello !

I would like to have a rank column in my table. I know that I have to use rankx but here is the difficult point : I have created a relation between 2 sources based on the sku, and now I would like to rank but in my table I have dimensions coming from my source 1 and my source 2.

Here is a visual example :

So in my source 1 I have for example the field : sku, gender, color and sales

In the source 2 I have : sku and type

I have created a relation between the two tables based on the sku key.

An important point : I have contextual filters so the rank measure should change each time the filter value change.

How would you do that ?

Thanks guy !

Re: Rank column in a table visualization with multiple categories coming from different sources

amitchandak — Fri, 07 Jan 2022 11:31:36 GMT

Anonymous , You have to create a measure rank

rankx(summarize(allselected(source1), sources2[SKU], source1[gender],source1[color], source1[source2]) , [sales],,desc, dense)

Re: Rank column in a table visualization with multiple categories coming from different sources

Anonymous — Fri, 07 Jan 2022 13:51:37 GMT

Hello amitchandak, thanks for the anwser 🙂

But Source 1 and source 2 are two different sources so I don't understand how this part : source1[source2]

could work. Source 2 is not a column of the source 1.

Re: Rank column in a table visualization with multiple categories coming from different sources

amitchandak — Fri, 07 Jan 2022 14:56:13 GMT

Anonymous , sorry , it should be Type

rankx(summarize(allselected(source1), sources2[SKU], source1[gender],source1[color], source1[Type]) , [sales],,desc, dense)

Re: Rank column in a table visualization with multiple categories coming from different sources

jnguyen21 — Sat, 13 Jul 2024 04:06:31 GMT

Thank you for your suggestion. I was running into a similar issue and this measure worked perfectly