bi-powered cutters

[Syndicate_Admin]

can someone please try to help me with the next measure, specifically where I have highlighted the rose. I have two slicers that are NOT connected to my data source. the next measure if it works well, except for the fact that the POC filter only works when I have selected a value in the gender filter. For example, if I choose "Female" in my gender filter, I can select "Asian" in my POC filter and it will work properly, my POC filter only works if I have selected women or men. I want to be able to filter without woman or male selected, just a POC value. any idea why?

test 4

Filtered VAR ?

table with public filter conditions

FILTER (

'Talent Snapshot',

[Potential] <> ""

)

CTA_ADD VAR =

cta with additional filter

SUMX (

FILTER (

Filtered

IF (

ISFILTERED ( Gender[Gender] ),

[Gender] IN VALUES ( Gender[Gender] ),

TRUE ()

)

&& IF (

ISFILTERED ( PoC[PoC (USA Only)]),

[Race/Ethnicity] IN VALUES ( PoC[PoC (US ONLY)] ),

TRUE ()

)

),

[Total Partner Count (PME)]

)

CTA_RAW VAR =

cta with raw filter

SUMX ( Filtering, [Total Partner Count (PME)] )

_FLAGG VAR =

filter the genre of the flag

ISFILTERED ( Gender [Gender] )

VAR _round =

REDONDO (

IF (

_flagG,

MAX ( 0, DIVIDE ( cta_add, cta_raw ) ),

DIVIDE ( cta_raw, SUM ( [Count Total Associates (PME)] )

),

2

) * 100

_FIXED VAR =

MAX ( 0, VALUE ( FIXED ( IF ( _flagG, cta_add, cta_raw ), 0 ) )

Return

_round and "% (" and _fixed and ")"

[v-rzhou-msft]

Hi @Syndicate_Admin 

Due to I don't know your data model, I could only give you some advice.

Try to use or || not and && in IF function.

CTA_ADD VAR =
SUMX (
FILTER (
Filtered
IF (
ISFILTERED ( Gender[Gender] ),
[Gender] IN VALUES ( Gender[Gender] ),
TRUE ()
)
|| IF (
ISFILTERED ( PoC[PoC (USA Only)]),
[Race/Ethnicity] IN VALUES ( PoC[PoC (US ONLY)] ),
TRUE ()
)
),
[Total Partner Count (PME)]
)

Or you can try this measure:

CTA_ADD VAR =
VAR _SELECTGENDER = VALUES(Gender[Gender])
VAR _SELECTPOC =  VALUES ( PoC[PoC (US ONLY)] )
RETURN
SUMX (
FILTER (
ALL('TABLE'),
TABLE[Gender] IN _SELECTGENDER &&
TABLE[PoC (US ONLY)]IN _SELECTPOC
),
[Total Partner Count (PME)]
)

If this reply still couldn't help you solve your problem, you can share a sample with me by your Onedrive for Business.

Best Regards,

Rico Zhou

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