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.
My PY Encounters is showing the total (JAN - DEC) value for all months in cluster column chart:
I need it to show the correct amount per month
here is the DAX:
Encounters_PY =
CALCULATE(
[Encounters],
FILTER(
ALL('Date - Service'),
YEAR('Date - Service'[CalendarDate])
= YEAR(
MAX( 'Date - Service'[CalendarDate])
)-1
),
ALL ( Scenario[Description] )
)
Can anyone please help me? Thanks in advance.
@sabilahmed , You need to use date table joined with date of your table
YTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD('Date'[Date],"12/31"))
Last YTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(dateadd('Date'[Date],-1,Year),"12/31"))
or
YTD =
var _max = if(isfiltered('Date'),MAX( 'Date'[Date]) , MAXX(allselecetd('Date'), 'Date'[Date]))
var _min = eomonth(_max,-1*MONTH(_max))+1
return
CALCULATE([net] ,DATESBETWEEN('Date'[Date],_min,_max))
LYTD =
var _max1 = if(isfiltered('Date'),MAX( 'Date'[Date]) , MAXX(allselecetd('Date'), 'Date'[Date]))
var _max = Date(Year(_max1)-1, Month(_max1), Day(_max1))
var _min = eomonth(_max,-1*MONTH(_max))+1
return
CALCULATE([net] ,DATESBETWEEN('Date'[Date],_min,_max))
Time Intelligence, DATESMTD, DATESQTD, DATESYTD, Week On Week, Week Till Date, Custom Period on Period,
Custom Period till date: https://youtu.be/aU2aKbnHuWs&t=145s
If this does not help
Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.
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 |
---|---|
14 | |
11 | |
10 | |
10 | |
10 |
User | Count |
---|---|
16 | |
13 | |
12 | |
11 | |
8 |