Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateJoin 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.
Hope you are all having a great day!
I am trying to implement this great idea from theh BI Elite team which is using a custom date period selection (MTD, YTD, QTD...), instead of the standard slicer for calendar picking the start date and end date. All is well and good. I wanted then to implement a calculation of Previous Period (adjacent prior period) and Previos Year (same dates last year) based on the date period selection.
I would then plot these measures to compare trends.
I am having trouble bringing back the row context for dates. Can someone help me?
Here is a link to the PBIX file
Thank you in advance!
Cheers,
David
Solved! Go to Solution.
@dyabes Here are some typical date intelligence measures written in the form of Calculation groups (below) These will work with calendar dates or fiscal dates. You may find this helpful - https://community.powerbi.com/t5/Community-Blog/To-bleep-With-Time-Intelligence/ba-p/1260000
Also, see if my Time Intelligence the Hard Way provides a different way of accomplishing what you are going for.
https://community.powerbi.com/t5/Quick-Measures-Gallery/Time-Intelligence-quot-The-Hard-Way-quot-TIT...
YTD
CALCULATE(SELECTEDMEASURE(),
FILTER(ALL('Dates'),
'Dates'[CalendarYear] = MAX('Dates'[CalendarYear]) &&
'Dates'[Date] <= MAX('Dates'[Date])))
MTD
CALCULATE(SELECTEDMEASURE(),
FILTER(ALL('Dates'),
'Dates'[CalendarYear] = MAX('Dates'[CalendarYear]) &&
'Dates'[MonthNumberOfYear] = MAX('Dates'[MonthNumberOfYear])
&& 'Dates'[Date] <= MAX('Dates'[Date])))
QTD
CALCULATE(SELECTEDMEASURE(),
FILTER(ALL('Dates'),
'Dates'[CalendarYear] = MAX('Dates'[CalendarYear]) &&
'Dates'[CalendarQuarter] = MAX('Dates'[CalendarQuarter]) &&
'Dates'[Date] <= MAX('Dates'[Date])))
PY
VAR __MaxDate = MAX('Dates'[Date])
VAR __MinDate = MIN('Dates'[Date])
RETURN
CALCULATE(SELECTEDMEASURE(),
FILTER(ALL('Dates'),
'Dates'[Date] >=
DATE(YEAR(__MinDate)-1,MONTH(__MinDate),DAY(__MinDate)) &&
'Dates'[Date] <=
DATE(YEAR(__MaxDate)-1,MONTH(__MaxDate),DAY(__MaxDate))))
PY YTD
VAR __MaxDate = MAX('Dates'[Date])
RETURN
CALCULATE(SELECTEDMEASURE(),
FILTER(ALL('Dates'),
'Dates'[CalendarYear] =
MAX('Order Dates'[CalendarYear])-1 &&
'Dates'[Date] <=
DATE(
YEAR(__MaxDate)-1,
MONTH(__MaxDate),
DAY(__MaxDate))))
YOY
SELECTEDMEASURE()
- CALCULATE(SELECTEDMEASURE(),'Date Intelligence Group'[Name] = "PY")
YOY %
DIVIDE(
CALCULATE(SELECTEDMEASURE(),'Date Intelligence Group'[Name] ="YOY"),
CALCULATE(SELECTEDMEASURE(),'Date Intelligence Group'[Name] ="PY"))
Equivalent measures using DAX Time Intelligence functions are the following:
@dyabes Here are some typical date intelligence measures written in the form of Calculation groups (below) These will work with calendar dates or fiscal dates. You may find this helpful - https://community.powerbi.com/t5/Community-Blog/To-bleep-With-Time-Intelligence/ba-p/1260000
Also, see if my Time Intelligence the Hard Way provides a different way of accomplishing what you are going for.
https://community.powerbi.com/t5/Quick-Measures-Gallery/Time-Intelligence-quot-The-Hard-Way-quot-TIT...
YTD
CALCULATE(SELECTEDMEASURE(),
FILTER(ALL('Dates'),
'Dates'[CalendarYear] = MAX('Dates'[CalendarYear]) &&
'Dates'[Date] <= MAX('Dates'[Date])))
MTD
CALCULATE(SELECTEDMEASURE(),
FILTER(ALL('Dates'),
'Dates'[CalendarYear] = MAX('Dates'[CalendarYear]) &&
'Dates'[MonthNumberOfYear] = MAX('Dates'[MonthNumberOfYear])
&& 'Dates'[Date] <= MAX('Dates'[Date])))
QTD
CALCULATE(SELECTEDMEASURE(),
FILTER(ALL('Dates'),
'Dates'[CalendarYear] = MAX('Dates'[CalendarYear]) &&
'Dates'[CalendarQuarter] = MAX('Dates'[CalendarQuarter]) &&
'Dates'[Date] <= MAX('Dates'[Date])))
PY
VAR __MaxDate = MAX('Dates'[Date])
VAR __MinDate = MIN('Dates'[Date])
RETURN
CALCULATE(SELECTEDMEASURE(),
FILTER(ALL('Dates'),
'Dates'[Date] >=
DATE(YEAR(__MinDate)-1,MONTH(__MinDate),DAY(__MinDate)) &&
'Dates'[Date] <=
DATE(YEAR(__MaxDate)-1,MONTH(__MaxDate),DAY(__MaxDate))))
PY YTD
VAR __MaxDate = MAX('Dates'[Date])
RETURN
CALCULATE(SELECTEDMEASURE(),
FILTER(ALL('Dates'),
'Dates'[CalendarYear] =
MAX('Order Dates'[CalendarYear])-1 &&
'Dates'[Date] <=
DATE(
YEAR(__MaxDate)-1,
MONTH(__MaxDate),
DAY(__MaxDate))))
YOY
SELECTEDMEASURE()
- CALCULATE(SELECTEDMEASURE(),'Date Intelligence Group'[Name] = "PY")
YOY %
DIVIDE(
CALCULATE(SELECTEDMEASURE(),'Date Intelligence Group'[Name] ="YOY"),
CALCULATE(SELECTEDMEASURE(),'Date Intelligence Group'[Name] ="PY"))
Equivalent measures using DAX Time Intelligence functions are the following:
Hi @Greg_Deckler -- I went through most of the materials that you provided and they helped me figure out what I need but have expanded my understanding of Time Intelligence and DAX in general.
Thank you again!
-David
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
63 | |
59 | |
56 | |
38 | |
29 |
User | Count |
---|---|
82 | |
62 | |
45 | |
41 | |
40 |