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Each column should be filtered out by its respective slicers and should not affect other columns.
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Hi @Anonymous ,
I am replying on behalf of @srana .
Attached is the sample pbix file which is used here.
Here is the situation -
I have two tables i.e is DATA_1 & DATA_2 which has Field, region, version, hop & counts columns.
In transform data, I have applied pivot step so that hop_name can get the counts respectively.
After that, I append both the tables.
On report side, I need three slicers - one is for Region, version_for_Hop1 and version_for_Hop2 (This is all coming from append table)
I took table visual to show the fields and hops.
This is how it looks like -
The problem is -
When I select V1 from version_for_Hop1 and V4 or any other items from version_for_Hop2 , the table turns out blank.
Expected Result is-
When I select V1 From version_for_Hop1 and V4 from version_for_Hop2, it should show respective data in each columns.
Hi @srana,
Can you please share a pbix or some dummy data that keep raw data structure with expected results? It should help us clarify your scenario and test to coding formula.
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Regards,
Xiaoxin Sheng
Hi @Anonymous ,
I am replying on behalf of @srana .
Attached is the sample pbix file which is used here.
Here is the situation -
I have two tables i.e is DATA_1 & DATA_2 which has Field, region, version, hop & counts columns.
In transform data, I have applied pivot step so that hop_name can get the counts respectively.
After that, I append both the tables.
On report side, I need three slicers - one is for Region, version_for_Hop1 and version_for_Hop2 (This is all coming from append table)
I took table visual to show the fields and hops.
This is how it looks like -
The problem is -
When I select V1 from version_for_Hop1 and V4 or any other items from version_for_Hop2 , the table turns out blank.
Expected Result is-
When I select V1 From version_for_Hop1 and V4 from version_for_Hop2, it should show respective data in each columns.
@srana , You have to create measures to use the values from these slicers and ignore from others
If they are same or joined table- means filter when select then create like
calculate(Sum(Table[Value), removefilterS(Table[Version_V2]), removefilterS(Table[Version_V3]) )
if they are independent slicer then try measure like
calculate(Sum(Table[Value),filter(Table, Table[Version_v1] in values(Version1[Version_V1]) )
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