Microsoft is giving away 50,000 FREE Microsoft Certification exam vouchers. Get Fabric certified for FREE! Learn more
Hello Power BI community,
Can you help me modify this code such that if I use SankeyTable'[Category_Planning] as a slicer in my power bi report and filter any one of its values, this measure should be able to ignore the SankeyTable'[Category_Planning] slicer and always keeps all the 4 values of SankeyTable'[Category_Planning] in the calculation?
@MFelix , @amitchandak , @Ashish_Mathur
DistinctCount_Category_Occasions_MultiSelect_Part12 =
VAR CategorySelection = ISFILTERED('df_Category Purchased'[Category Purchased])
VAR SelectedChannel = SELECTEDVALUE('df_Category Purchased'[Category Purchased])
RETURN
IF (
CategorySelection,
IF (
Not SelectedChannel IN { "JUICE", "SPORTS DRINKS", "PACKAGED WATER", "RTD TEA"},
(SUMX(VALUES(df_Barriers_SSD[Barriers_SSD]),
CALCULATE(
DISTINCTCOUNT('Respondent'[Unique_ID]),
'df_Occasions'[value1] = "Yes",'SankeyTable'[Category_Planning] IN {"Decided", "", "Open/Considered", "Not Answered"},
FILTER(
'Respondent',
[IsBarriersSSD]
)
))),
BLANK ()
), (SUMX(VALUES(df_Barriers_SSD[Barriers_SSD]),
CALCULATE(
DISTINCTCOUNT('Respondent'[Unique_ID]),
'df_Occasions'[value1] = "Yes",'SankeyTable'[Category_Planning] IN {"Decided", "", "Open/Considered", "Not Answered"},
FILTER(
'Respondent',
[IsBarriersSSD]
)
)))
)
Solved! Go to Solution.
Try the following code:
DistinctCount_Category_Occasions_MultiSelect_Part12 =
VAR CategorySelection =
ISFILTERED ( 'df_Category Purchased'[Category Purchased] )
VAR SelectedChannel =
SELECTEDVALUE ( 'df_Category Purchased'[Category Purchased] )
RETURN
IF (
CategorySelection,
IF (
NOT SelectedChannel IN { "JUICE", "SPORTS DRINKS", "PACKAGED WATER", "RTD TEA" },
(
SUMX (
VALUES ( df_Barriers_SSD[Barriers_SSD] ),
CALCULATE (
DISTINCTCOUNT ( 'Respondent'[Unique_ID] ),
'df_Occasions'[value1] = "Yes",
'SankeyTable'[Category_Planning]
IN { "Decided", "", "Open/Considered", "Not Answered" },
REMOVEFILTERS ( 'SankeyTable'[Category_Planning] ),
FILTER ( 'Respondent', [IsBarriersSSD] )
)
)
),
BLANK ()
),
(
SUMX (
VALUES ( df_Barriers_SSD[Barriers_SSD] ),
CALCULATE (
DISTINCTCOUNT ( 'Respondent'[Unique_ID] ),
'df_Occasions'[value1] = "Yes",
'SankeyTable'[Category_Planning]
IN { "Decided", "", "Open/Considered", "Not Answered" },
REMOVEFILTERS ( 'SankeyTable'[Category_Planning] ),
FILTER ( 'Respondent', [IsBarriersSSD] )
)
)
)
)
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em Português
Try the following code:
DistinctCount_Category_Occasions_MultiSelect_Part12 =
VAR CategorySelection =
ISFILTERED ( 'df_Category Purchased'[Category Purchased] )
VAR SelectedChannel =
SELECTEDVALUE ( 'df_Category Purchased'[Category Purchased] )
RETURN
IF (
CategorySelection,
IF (
NOT SelectedChannel IN { "JUICE", "SPORTS DRINKS", "PACKAGED WATER", "RTD TEA" },
(
SUMX (
VALUES ( df_Barriers_SSD[Barriers_SSD] ),
CALCULATE (
DISTINCTCOUNT ( 'Respondent'[Unique_ID] ),
'df_Occasions'[value1] = "Yes",
'SankeyTable'[Category_Planning]
IN { "Decided", "", "Open/Considered", "Not Answered" },
REMOVEFILTERS ( 'SankeyTable'[Category_Planning] ),
FILTER ( 'Respondent', [IsBarriersSSD] )
)
)
),
BLANK ()
),
(
SUMX (
VALUES ( df_Barriers_SSD[Barriers_SSD] ),
CALCULATE (
DISTINCTCOUNT ( 'Respondent'[Unique_ID] ),
'df_Occasions'[value1] = "Yes",
'SankeyTable'[Category_Planning]
IN { "Decided", "", "Open/Considered", "Not Answered" },
REMOVEFILTERS ( 'SankeyTable'[Category_Planning] ),
FILTER ( 'Respondent', [IsBarriersSSD] )
)
)
)
)
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsHello @PriyankaJhaTheA,
Can you please try this:
DistinctCount_Category_Occasions_MultiSelect_Part12 =
VAR CategorySelection = ISFILTERED('df_Category Purchased'[Category Purchased])
VAR SelectedChannel = SELECTEDVALUE('df_Category Purchased'[Category Purchased])
RETURN
IF (
CategorySelection,
IF (
NOT SelectedChannel IN { "JUICE", "SPORTS DRINKS", "PACKAGED WATER", "RTD TEA" },
SUMX(
VALUES(df_Barriers_SSD[Barriers_SSD]),
CALCULATE(
DISTINCTCOUNT('Respondent'[Unique_ID]),
'df_Occasions'[value1] = "Yes",
'SankeyTable'[Category_Planning] IN { "Decided", "", "Open/Considered", "Not Answered" },
FILTER(
ALL('SankeyTable'[Category_Planning]), // This line removes the slicer/filter effect on Category_Planning
[IsBarriersSSD]
)
)
),
BLANK()
),
SUMX(
VALUES(df_Barriers_SSD[Barriers_SSD]),
CALCULATE(
DISTINCTCOUNT('Respondent'[Unique_ID]),
'df_Occasions'[value1] = "Yes",
'SankeyTable'[Category_Planning] IN { "Decided", "", "Open/Considered", "Not Answered" },
FILTER(
ALL('SankeyTable'[Category_Planning]), // This line removes the slicer/filter effect on Category_Planning
[IsBarriersSSD]
)
)
)
)
Check out the April 2025 Power BI update to learn about new features.
Explore and share Fabric Notebooks to boost Power BI insights in the new community notebooks gallery.
User | Count |
---|---|
20 | |
14 | |
11 | |
10 | |
8 |
User | Count |
---|---|
21 | |
15 | |
9 | |
7 | |
6 |