I’m having trouble to sum totals of subcategory I have two tables.1. A table that defines unique FaceBook pages names (repository)[Page] and the name of the person responsible for the page(repository)[RESP CONTENT] repository | Page | RESP CONTENT |---------------------------------| P1 | RESP1 || P2 | RESP1 || P3 | RESP2 || P4 | RESP2 || P5 | RESP3 || P6 | RESP5 || P7 | RESP5 || P8 | RESP5 || .... | ..... | 2. A table of the number of likes(FaceBook)[Likes] and followers(FaceBook)[Followers] per week (FaceBook)[Date]. The join with the (repository)table is done with the (FaceBook)[Page] FaceBook | Page | Likes | Followers | Date |------------------------------------------------------ | P1 | 32 | 50 | 2021-02-02 | P1 | 40 | 60 | 2021-02-09 | P1 | 70 | 100 | 2021-02-16 | P2 | 80 | 150 | 2021-02-02 | P2 | 90 | 250 | 2021-02-09 | P2 | 150 | 350 | 2021-02-16 | P3 | 10 | 50 | 2021-02-02 | P3 | 32 | 50 | 2021-02-09 | P3 | 50 | 80 | 2021-02-16 What I am expecting for [Community] are results like:RESP CONTENT Last Likes Last Followers Likes Rank Followers Rank Community- RESP1 220 450 5 P1 70 100 2 2 2 P2 150 350 3 3 3- RESP2 50 80 1 P3 50 80 1 1 1 ... .... ............. .....Total 270 490 6 With :Last Likes = CALCULATE (SUM ( FaceBook[Likes] ),LASTNONBLANK ( FaceBook[Date], SUM ( FaceBook[Likes] ) )) Last Followers = CALCULATE (SUM ( FaceBook[Followers] ),LASTNONBLANK ( FaceBook[Date], SUM ( FaceBook[Followers] ) )) COMMUNITY = IF(COUNTROWS(VALUES(repository[Page]))=1,DIVIDE([Likes Rank] + [Followers Rank],2),SUMX(repository[Page], DIVIDE([Likes Rank] + [Followers Rank],2))) for community measure SUMX can't give me the right result !!I try :SUMX(values(repository[Page]), DIVIDE([Likes Rank] + [Followers Rank],2))SUMX(allselected(repository[Page]), DIVIDE([Likes Rank] + [Followers Rank],2)) nothing works! Please, any help?Thank's in advance

Hi, SoufTC Try measures as follows: Likes Rank = var _t=FIlter(ALL('repository'),[Last Likes]<>BLANK()) var _rank= RANKX(_t, CALCULATE([Last Likes]),,ASC,Dense) return IF([Last Likes]<>BLANK()&&HASONEVALUE(repository[Page]),_rank)Followers Rank = var _t=FIlter(ALL('repository'),[Last Followers]<>BLANK()) var _rank= RANKX(_t, CALCULATE([Last Followers]),,ASC,Dense) return IF([Last Followers]<>BLANK()&&HASONEVALUE(repository[Page]),_rank)COMMUNITY = SUMX(ADDCOLUMNS('repository',"_last rank",[Likes Rank],"_followers rank",[Followers Rank]),DIVIDE([_last rank]+[_followers rank],2)) Result: Please refer to the attachment below for details. Hope this helps. Best Regards,Community Support Team _ Zeon Zheng If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Forum Discussion

SoufTC

Helper I

4 years ago

Solved

Subtotals in Matrix with Hierarchy not adding up

I’m having trouble to sum totals of subcategory

I have two tables.

1. A table that defines unique FaceBook pages names (repository)[Page] and the name of the person responsible for the page(repository)[RESP CONTENT]

repository

| Page | RESP CONTENT |

---------------------------------

| P1 | RESP1 |

| P2 | RESP1 |

| P3 | RESP2 |

| P4 | RESP2 |

| P5 | RESP3 |

| P6 | RESP5 |

| P7 | RESP5 |

| P8 | RESP5 |

| .... | ..... |

2. A table of the number of likes(FaceBook)[Likes] and followers(FaceBook)[Followers] per week (FaceBook)[Date]. The join with the (repository)table is done with the (FaceBook)[Page]

FaceBook

| Page | Likes | Followers | Date |

------------------------------------------------------

| P1 | 32 | 50 | 2021-02-02

| P1 | 40 | 60 | 2021-02-09

| P1 | 70 | 100 | 2021-02-16

| P2 | 80 | 150 | 2021-02-02

| P2 | 90 | 250 | 2021-02-09

| P2 | 150 | 350 | 2021-02-16

| P3 | 10 | 50 | 2021-02-02

| P3 | 32 | 50 | 2021-02-09

| P3 | 50 | 80 | 2021-02-16

What I am expecting for [Community] are results like:

RESP CONTENT	Last Likes	Last Followers	Likes Rank	Followers Rank	Community
- RESP1	220	450			5
P1	70	100	2	2	2
P2	150	350	3	3	3
- RESP2	50	80			1
P3	50	80	1	1	1
...	....	....	....	.....	.....
Total	270	490			6

With :

Last Likes =

CALCULATE (

SUM ( FaceBook[Likes] ),

LASTNONBLANK ( FaceBook[Date], SUM ( FaceBook[Likes] ) )

)

Last Followers =

CALCULATE (

SUM ( FaceBook[Followers] ),

LASTNONBLANK ( FaceBook[Date], SUM ( FaceBook[Followers] ) )

)

COMMUNITY = IF(
COUNTROWS(VALUES(repository[Page]))=1,

DIVIDE([Likes Rank] + [Followers Rank],2),

SUMX(repository[Page], DIVIDE([Likes Rank] + [Followers Rank],2))

)

for community measure SUMX can't give me the right result !!

I try :

SUMX(values(repository[Page]), DIVIDE([Likes Rank] + [Followers Rank],2))

SUMX(allselected(repository[Page]), DIVIDE([Likes Rank] + [Followers Rank],2))

nothing works!

Please, any help?

Thank's in advance

Hi, SoufTC

Try measures as follows:

Likes Rank = 
var _t=FIlter(ALL('repository'),[Last Likes]<>BLANK())
var _rank=
RANKX(_t,
    CALCULATE([Last Likes]),,ASC,Dense)
    return IF([Last Likes]<>BLANK()&&HASONEVALUE(repository[Page]),_rank)

Followers Rank = 
var _t=FIlter(ALL('repository'),[Last Followers]<>BLANK())
var _rank=
RANKX(_t,
    CALCULATE([Last Followers]),,ASC,Dense)
    return IF([Last Followers]<>BLANK()&&HASONEVALUE(repository[Page]),_rank)

COMMUNITY = 
SUMX(ADDCOLUMNS('repository',"_last rank",[Likes Rank],"_followers rank",[Followers Rank]),DIVIDE([_last rank]+[_followers rank],2))

Result:

Please refer to the attachment below for details.

Hope this helps.

Best Regards,
Community Support Team _ Zeon Zheng

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

W50_Subtotals in Matrix with Hierarchy not adding up.pbix51 KB

11 Replies

v-angzheng-msft
Community Support
4 years ago
Hi, SoufTC

From what I've got, the last follow on P3 should be 80.

Based on the information above, I create the community measure easily as follows:

COMMUNITY = ([Last Followers]+[Last Likes])/2

this seems to work fine.

Result:

Please refer to the attachment below for details.

Hope this helps.

Best Regards,
Community Support Team _ Zeon Zheng

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
- SoufTC
  Helper I
  4 years ago
  v-angzheng-msft thank you for your help ! but I made a mistake in the results table (I corrected it) I'm trying to calculate [community] using the rank like this : COMMUNITY = ([Likes Rank] + [Followers Rank])/2 ; but unfortunately I can't get the right total
  - v-angzheng-msft
    Community Support
    4 years ago
    Hi, SoufTC
    
    Try measures as follows:
    
    Likes Rank = var _t=FIlter(ALL('repository'),[Last Likes]<>BLANK()) var _rank= RANKX(_t, CALCULATE([Last Likes]),,ASC,Dense) return IF([Last Likes]<>BLANK()&&HASONEVALUE(repository[Page]),_rank)
    Followers Rank = var _t=FIlter(ALL('repository'),[Last Followers]<>BLANK()) var _rank= RANKX(_t, CALCULATE([Last Followers]),,ASC,Dense) return IF([Last Followers]<>BLANK()&&HASONEVALUE(repository[Page]),_rank)
    COMMUNITY = SUMX(ADDCOLUMNS('repository',"_last rank",[Likes Rank],"_followers rank",[Followers Rank]),DIVIDE([_last rank]+[_followers rank],2))
    
    Result:
    
    Please refer to the attachment below for details.
    
    Hope this helps.
    
    Best Regards,
    Community Support Team _ Zeon Zheng
    
    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
    W50_Subtotals in Matrix with Hierarchy not adding up.pbix51 KB
PaulDBrown
Community Champion
4 years ago
What is the code for [score]?
PaulDBrown
Community Champion
4 years ago
at is the code for [Community] & [Evolution])?

You could try the following measure:

CM = SUMX(Table1, [Score])
- SoufTC
  Helper I
  4 years ago
  I just changed my post thanks
  - PaulDBrown
    Community Champion
    4 years ago
    You could try the following measure:
    
    CM = SUMX(Table1, [Score])
- SoufTC
  Helper I
  4 years ago
  PaulDBrownthank you but that's not what I need at all !
  - PaulDBrown
    Community Champion
    4 years ago
    It would actually help if you provided sample non-confidential data (not images - we can't work on images...) and a depiction of the expected result.