Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Get Fabric certified for FREE! Don't miss your chance! Learn more

Reply
sparker95
Frequent Visitor

Filtering using slicer

 I have a table with columns for 'Status' which has 5 options {1. Fee Forecast, 2. Confirmed, 3. Likely, 4. Planning, 5. Spec}, another that is 'Date' that gives me {Q1, Q2, Q3, Q4} and finally a 'Fee' column that has £ values in it. 

On my page I have then built 5 slicers that take values from -100 to 100, I want to use these 5 slicers to adjust each of the 5 statuses independently. 

 

I created the code to adjust Fee using the '1.Fee Forecast' slicer, however I need it to take into account each of the slicers independently.

 

Status & Quarter =
CALCULATE(
    SUM(Table2[Fee]), VALUES(Table2[Date]),
    VALUES(Table2[status])
) * (1 + '1. Fee Forecast %.'[Fee Forecast %. Value] / 100)
 
I presume using something like SWITCH function to take value from status and then alter according to the 
1 ACCEPTED SOLUTION
Sahir_Maharaj
Super User
Super User

Hello @sparker95,

 

Can you please try:

 

1. Create Individual Slicer Measures

Fee Forecast % = [1. Fee Forecast %. Value]
Confirmed % = [2. Confirmed %. Value]
Likely % = [3. Likely %. Value]
Planning % = [4. Planning %. Value]
Spec % = [5. Spec %. Value]

2. Create Individual Adjustment Measures

Fee Forecast Adjusted =
SUM(Table2[Fee]) *
(1 + [Fee Forecast %] / 100)

Confirmed Adjusted =
SUMX(
    FILTER(Table2, Table2[Status] = "Confirmed"),
    Table2[Fee] * (1 + [Confirmed %] / 100)
)

Likely Adjusted =
SUMX(
    FILTER(Table2, Table2[Status] = "Likely"),
    Table2[Fee] * (1 + [Likely %] / 100)
)

Planning Adjusted =
SUMX(
    FILTER(Table2, Table2[Status] = "Planning"),
    Table2[Fee] * (1 + [Planning %] / 100)
)

Spec Adjusted =
SUMX(
    FILTER(Table2, Table2[Status] = "Spec"),
    Table2[Fee] * (1 + [Spec %] / 100)
)

3. Create a Master Measure to Combine Adjusted Values

Adjusted Fee Total =
[Fee Forecast Adjusted] + [Confirmed Adjusted] + [Likely Adjusted] +
[Planning Adjusted] + [Spec Adjusted]

Should you require further assistance, please do not hesitate to reach out to me.


Did I answer your question? Mark my post as a solution, this will help others!

If my response(s) assisted you in any way, don't forget to drop me a "Kudos" 🙂

Kind Regards,
Sahir Maharaj
Data Scientist | Data Engineer | Data Analyst | AI Engineer
P.S. Want me to build your Power BI solution? (Yes, its FREE!)
➤ Lets connect on LinkedIn: Join my network of 15K+ professionals
➤ Join my free newsletter: Data Driven: From 0 to 100
➤ Website: https://sahirmaharaj.com
➤ About: https://sahirmaharaj.com/about.html
➤ Email: sahir@sahirmaharaj.com
➤ Want me to build your Power BI solution? Lets chat about how I can assist!
➤ Join my Medium community of 30K readers! Sharing my knowledge about data science and artificial intelligence
➤ Explore my latest project (350K+ views): Wordlit.net
➤ 100+ FREE Power BI Themes: Download Now
LinkedIn Top Voice in Artificial Intelligence, Data Science and Machine Learning

View solution in original post

1 REPLY 1
Sahir_Maharaj
Super User
Super User

Hello @sparker95,

 

Can you please try:

 

1. Create Individual Slicer Measures

Fee Forecast % = [1. Fee Forecast %. Value]
Confirmed % = [2. Confirmed %. Value]
Likely % = [3. Likely %. Value]
Planning % = [4. Planning %. Value]
Spec % = [5. Spec %. Value]

2. Create Individual Adjustment Measures

Fee Forecast Adjusted =
SUM(Table2[Fee]) *
(1 + [Fee Forecast %] / 100)

Confirmed Adjusted =
SUMX(
    FILTER(Table2, Table2[Status] = "Confirmed"),
    Table2[Fee] * (1 + [Confirmed %] / 100)
)

Likely Adjusted =
SUMX(
    FILTER(Table2, Table2[Status] = "Likely"),
    Table2[Fee] * (1 + [Likely %] / 100)
)

Planning Adjusted =
SUMX(
    FILTER(Table2, Table2[Status] = "Planning"),
    Table2[Fee] * (1 + [Planning %] / 100)
)

Spec Adjusted =
SUMX(
    FILTER(Table2, Table2[Status] = "Spec"),
    Table2[Fee] * (1 + [Spec %] / 100)
)

3. Create a Master Measure to Combine Adjusted Values

Adjusted Fee Total =
[Fee Forecast Adjusted] + [Confirmed Adjusted] + [Likely Adjusted] +
[Planning Adjusted] + [Spec Adjusted]

Should you require further assistance, please do not hesitate to reach out to me.


Did I answer your question? Mark my post as a solution, this will help others!

If my response(s) assisted you in any way, don't forget to drop me a "Kudos" 🙂

Kind Regards,
Sahir Maharaj
Data Scientist | Data Engineer | Data Analyst | AI Engineer
P.S. Want me to build your Power BI solution? (Yes, its FREE!)
➤ Lets connect on LinkedIn: Join my network of 15K+ professionals
➤ Join my free newsletter: Data Driven: From 0 to 100
➤ Website: https://sahirmaharaj.com
➤ About: https://sahirmaharaj.com/about.html
➤ Email: sahir@sahirmaharaj.com
➤ Want me to build your Power BI solution? Lets chat about how I can assist!
➤ Join my Medium community of 30K readers! Sharing my knowledge about data science and artificial intelligence
➤ Explore my latest project (350K+ views): Wordlit.net
➤ 100+ FREE Power BI Themes: Download Now
LinkedIn Top Voice in Artificial Intelligence, Data Science and Machine Learning

Helpful resources

Announcements
Join our Fabric User Panel

Join our Fabric User Panel

Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.

Sticker Challenge 2026 Carousel

Join our Community Sticker Challenge 2026

If you love stickers, then you will definitely want to check out our Community Sticker Challenge!

January Power BI Update Carousel

Power BI Monthly Update - January 2026

Check out the January 2026 Power BI update to learn about new features.

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.