Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi,
I'm looking for a chart to display the entire year monthly data based on the selected month's slicer.
I have a calendar table and a fact table. The idea is if we select April 2023, the graph shall show Jan, Feb, Mar & Apr.
If we select Oct, it will show Jan - Oct.
Appreciate all your help on which command to use !
Thank you.
hi @velvetine_123 ,
not sure if i fully get you, supposing you have a data table like:
date | sales |
8/1/2022 | 1 |
9/1/2022 | 2 |
10/1/2022 | 3 |
11/1/2022 | 4 |
12/1/2022 | 5 |
1/1/2023 | 6 |
2/1/2023 | 7 |
3/1/2023 | 8 |
4/1/2023 | 9 |
5/1/2023 | 10 |
6/1/2023 | 11 |
7/1/2023 | 12 |
8/1/2023 | 13 |
try to:
1) add a calculated table like:
dates =
ADDCOLUMNS(
CALENDAR(MIN(data[date]), MAX(data[date])),
"YYMM", FORMAT([Date], "yy/mm")
)
2) related dates[date] to data[date] as 1:N
3) plot a slicer with the yy/mm column of a calculated table like:
slicer = dates
Don't relate it with any table.
4) plot a visual with dates[yy/mm] column and a measure like:
Measure =
VAR _currentdate = MAX(dates[Date])
VAR _slicerdate = MAX(slicer[Date])
VAR _result =
IF(
AND(
_currentdate<=_slicerdate,
YEAR(_currentdate)=YEAR(_slicerdate)
),
SUM(data[sales])
)
RETURN _result
it worked like:
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
12 | |
9 | |
9 | |
6 | |
5 |
User | Count |
---|---|
19 | |
18 | |
11 | |
9 | |
9 |