The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredCompete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.
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.
Solved! Go to Solution.
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.
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.
User | Count |
---|---|
28 | |
12 | |
8 | |
7 | |
5 |
User | Count |
---|---|
35 | |
14 | |
12 | |
9 | |
7 |