Filter data from other tables

[carlochecchia]

Hi all,

I was wondering ig you could help me with the following issue:
I currently have 3 datasets:
a. Source

ID	Weight
1001	1
1002	2
1003	3

b. abc

ID	#	Answer
1001	1	Blue
1001	2	Beans
1002	1	Red
1002	2	Peppers
1003	1	Blue
1003	2	Beans

c. DEF

ID	Type	SEG
1001	Gender	Male
1002	Gender	Male
1003	Gender	Female
1001	Country	USA
1002	Country	Canada
1003	Country	Usa

I can create a relationship between 'Source & def' and 'Source & abc'. (One a one to many relationship.)
I could have a relationship between 'Segment & abc' but it would be a many to many relationship and I am trying to avoid this type of relationship.

Here is the issue.
I am trying to run calculations, applying a filter from 'Segments' on the 'abc' dataframe, using a sum from the Source table.
Since, it doesnt have a relationship (cde and abc), it cant calculate correctly

How can i properly calculate this?

Thanks in advance for taking the time to look into this matter

[carlochecchia]

Thank you so much!

Could you also assist me on how to calculate the percentage of the column total?
Looking to achieve this result

Answer Female Male Total
blue 100% 33% 67%
Red -- 66% 33%
total 100% 100% 100%

[Jihwan_Kim]

Hi, 

Please try the below.

measure =

CALCULATE (

SUM ( Source[Weight] ),

CROSSFILTER ( Source[ID], Questions[ID], BOTH ),

CROSSFILTER ( Source[ID], Segment[ID], BOTH )

)

percentage =

DIVIDE( [measure], CALCULATE([measure], ALLSELECTED( Questions)))

[Jihwan_Kim · Accepted solution]

Hi, @carlochecchia 

I am not sure how the below measure will influence your real case, but if your objective is to achieve the result that is shown in your picture, please try the below. 

measurefix =
CALCULATE (
SUM ( Source[Weight] ),
CROSSFILTER ( Source[ID], Questions[ID], BOTH ),
CROSSFILTER ( Source[ID], Segment[ID], BOTH )
)

Hi, My name is Jihwan Kim.

If this post helps, then please consider accept it as the solution to help other members find it faster, and give a big thumbs up.

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[carlochecchia]

Thank you once again!
I have one last question, if possible.
Still taking in account the same scenario, but adding a 'Date' Column to the Source dataframe:

ID Weight Date
1001   1   01/01/21

1002   2   01/02/21

1003   3   01/03/21

Would it be possibe to calculate the accumulated weight by month, so it gives the following result:

--01/01/2021 01/02/2021 01/03/2021 total
blue 1             1                 4                    4
red   -             2                 2                    2
total 1             3                6                      6

[Jihwan_Kim]

Hi, @carlochecchia 

Please try the below.

Cumulate Weight =
CALCULATE (
SUM ( Source[Weight] ),
CROSSFILTER ( Questions[ID], Source[ID], BOTH ),
CROSSFILTER ( Segment[ID], Source[ID], BOTH ),
FILTER ( ALLSELECTED ( Source ), Source[Date] <= MAX ( Source[Date] ) )
)