Supplies are limited. Contact info@espc.tech right away to save your spot before the conference sells out.
Get your discountScore big with last-minute savings on the final tickets to FabCon Vienna. Secure your discount
I am trying to create a page that will filter sales based on a timeframe I have built into the main query. Within the query I have 4 ranges YOY, Pre, Transition, and Post. I have my data defined as belows.
Schedule | Sales | Weeks | Details (not actually a column) |
YOY - 1 | 10 | varies based on Post | YOY Selected Month from Post |
Pre - 2 | 20 | 13 | 13 weeks that remain static |
Transition - 3 | 15 | 4 | 4 weeks that remain static |
Post - 4 | 40 | What every is selected | Selected Month |
So Ideally, I select the current previous month and I get the correct sales from the YOY data along with the static sales from Pre and Transition.
I have been trying different ways including adding a custom column within Transformation that identifies the specific data and i could filter the page on that. Also tried using a combination of previousmonth & previous year, however, I cant seem to get this to work. All of my data has an associated date so I wont have any building a measure based on dates.
Solved! Go to Solution.
@calexander24 , if you want based on selected date
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"))
This year Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(ENDOFYEAR('Date'[Date]),"12/31"))
Last year Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(ENDOFYEAR(dateadd('Date'[Date],-1,Year)),"12/31"))
Based on today
YTD Today=
var _min = date(year(today()),1,1)
var _day = today()
return
CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Date] >=_min && 'Date'[Date] <= _day) )
LYTD =
var _min = date(year(today())-1,1,1)
var _max = date(year(today())-1,month(today()),day(today()))
return
CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Date] >=_min && 'Date'[Date] <= _max))
This Week today =
var _st = today() +-1*WEEKDAY(today(),2)+1
var _end =today()+ 7-1*WEEKDAY(today(),2)
return
CALCULATE(SUM(Sales[Sales Amount]),filter('Date','Date'[Date]>= _st && 'Date'[Date]<=_end )) //use all('Date') if need in filter
Last Week today =
var _st = today() +-1*WEEKDAY(today(),2)+1 -7
var _end =today()+ 7-1*WEEKDAY(today(),2) -7
return
CALCULATE(SUM(Sales[Sales Amount]),filter('Date','Date'[Date]>= _st && 'Date'[Date]<=_end )) //use all('Date') if need in filter
Last 4 Week today =
var _st = today() +-1*WEEKDAY(today(),2)+1 -28
var _end =today()+ 7-1*WEEKDAY(today(),2)
return
CALCULATE(SUM(Sales[Sales Amount]),filter('Date','Date'[Date]>= _st && 'Date'[Date]<=_end ))
For WOW
new columns
Week Start date = 'Date'[Date]+-1*WEEKDAY('Date'[Date],2)+1
Week End date = 'Date'[Date]+ 7-1*WEEKDAY('Date'[Date],2)
Week Rank = RANKX(all('Date'),'Date'[Week Start date],,ASC,Dense)
OR
Week Rank = RANKX(all('Date'),'Date'[Year Week],,ASC,Dense) //YYYYWW format
measures
This Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])))
Last Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])-1))
Last year Week= CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=(max('Date'[Week Rank]) -52)))
Last 8 weeks = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]>=max('Date'[Week Rank])-8 && 'Date'[Week Rank]<=max('Date'[Week Rank])))
MOM selected date
MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD('Date'[Date]))
last MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD(dateadd('Date'[Date],-1,MONTH)))
MTD=
var _min = eomonth(today(),-1)+1
var _max = today()
return
CALCULATE(sum('Table'[Qty]), FILTER(ALL('Table'),'Table'[Date] >= _min && 'Table'[Date] <=_max ) )
LMTD =
var _min = eomonth(today(),-2)+1
var _max1 = today()
var _max = date(year(_max1),month(_max1)-1, day(_max1))
return
CALCULATE(sum('Table'[Qty]), FILTER(ALL('Table'),'Table'[Date] >= _min && 'Table'[Date] <=_max ) )
Power BI — Year on Year with or Without Time Intelligence
https://medium.com/@amitchandak.1978/power-bi-ytd-questions-time-intelligence-1-5-e3174b39f38a
https://www.youtube.com/watch?v=km41KfM_0uA
Power BI — Qtr on Qtr with or Without Time Intelligence
https://medium.com/@amitchandak.1978/power-bi-qtd-questions-time-intelligence-2-5-d842063da839
https://www.youtube.com/watch?v=8-TlVx7P0A0
Power BI — Month on Month with or Without Time Intelligence
https://medium.com/@amitchandak.1978/power-bi-mtd-questions-time-intelligence-3-5-64b0b4a4090e
https://www.youtube.com/watch?v=6LUBbvcxtKA
Power BI — Week on Week and WTD
https://medium.com/@amitchandak.1978/power-bi-wtd-questions-time-intelligence-4-5-98c30fab69d3
https://community.powerbi.com/t5/Community-Blog/Week-Is-Not-So-Weak-WTD-Last-WTD-and-This-Week-vs-La...
https://www.youtube.com/watch?v=pnAesWxYgJ8
Day Intelligence - Last day, last non continous day
https://medium.com/@amitchandak.1978/power-bi-day-intelligence-questions-time-intelligence-5-5-5c324...
Why Time Intelligence Fails - Powerbi 5 Savior Steps for TI :https://youtu.be/OBf0rjpp5Hw
https://amitchandak.medium.com/power-bi-5-key-points-to-make-time-intelligence-successful-bd52912a5b...
To get the best of the time intelligence function. Make sure you have a date calendar and it has been marked as the date in model view. Also, join it with the date column of your fact/s. Refer :radacad sqlbi My Video Series Appreciate your Kudos.
Hi @calexander24 ,
Whether the advice given by @amitchandak has solved your confusion, if the problem has been solved you can mark the reply for the standard answer to help the other members find it more quickly. If not, please point it out.
Looking forward to your feedback.
Best Regards,
Henry
@calexander24 , if you want based on selected date
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"))
This year Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(ENDOFYEAR('Date'[Date]),"12/31"))
Last year Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(ENDOFYEAR(dateadd('Date'[Date],-1,Year)),"12/31"))
Based on today
YTD Today=
var _min = date(year(today()),1,1)
var _day = today()
return
CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Date] >=_min && 'Date'[Date] <= _day) )
LYTD =
var _min = date(year(today())-1,1,1)
var _max = date(year(today())-1,month(today()),day(today()))
return
CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Date] >=_min && 'Date'[Date] <= _max))
This Week today =
var _st = today() +-1*WEEKDAY(today(),2)+1
var _end =today()+ 7-1*WEEKDAY(today(),2)
return
CALCULATE(SUM(Sales[Sales Amount]),filter('Date','Date'[Date]>= _st && 'Date'[Date]<=_end )) //use all('Date') if need in filter
Last Week today =
var _st = today() +-1*WEEKDAY(today(),2)+1 -7
var _end =today()+ 7-1*WEEKDAY(today(),2) -7
return
CALCULATE(SUM(Sales[Sales Amount]),filter('Date','Date'[Date]>= _st && 'Date'[Date]<=_end )) //use all('Date') if need in filter
Last 4 Week today =
var _st = today() +-1*WEEKDAY(today(),2)+1 -28
var _end =today()+ 7-1*WEEKDAY(today(),2)
return
CALCULATE(SUM(Sales[Sales Amount]),filter('Date','Date'[Date]>= _st && 'Date'[Date]<=_end ))
For WOW
new columns
Week Start date = 'Date'[Date]+-1*WEEKDAY('Date'[Date],2)+1
Week End date = 'Date'[Date]+ 7-1*WEEKDAY('Date'[Date],2)
Week Rank = RANKX(all('Date'),'Date'[Week Start date],,ASC,Dense)
OR
Week Rank = RANKX(all('Date'),'Date'[Year Week],,ASC,Dense) //YYYYWW format
measures
This Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])))
Last Week = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=max('Date'[Week Rank])-1))
Last year Week= CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]=(max('Date'[Week Rank]) -52)))
Last 8 weeks = CALCULATE(sum('Table'[Qty]), FILTER(ALL('Date'),'Date'[Week Rank]>=max('Date'[Week Rank])-8 && 'Date'[Week Rank]<=max('Date'[Week Rank])))
MOM selected date
MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD('Date'[Date]))
last MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD(dateadd('Date'[Date],-1,MONTH)))
MTD=
var _min = eomonth(today(),-1)+1
var _max = today()
return
CALCULATE(sum('Table'[Qty]), FILTER(ALL('Table'),'Table'[Date] >= _min && 'Table'[Date] <=_max ) )
LMTD =
var _min = eomonth(today(),-2)+1
var _max1 = today()
var _max = date(year(_max1),month(_max1)-1, day(_max1))
return
CALCULATE(sum('Table'[Qty]), FILTER(ALL('Table'),'Table'[Date] >= _min && 'Table'[Date] <=_max ) )
Power BI — Year on Year with or Without Time Intelligence
https://medium.com/@amitchandak.1978/power-bi-ytd-questions-time-intelligence-1-5-e3174b39f38a
https://www.youtube.com/watch?v=km41KfM_0uA
Power BI — Qtr on Qtr with or Without Time Intelligence
https://medium.com/@amitchandak.1978/power-bi-qtd-questions-time-intelligence-2-5-d842063da839
https://www.youtube.com/watch?v=8-TlVx7P0A0
Power BI — Month on Month with or Without Time Intelligence
https://medium.com/@amitchandak.1978/power-bi-mtd-questions-time-intelligence-3-5-64b0b4a4090e
https://www.youtube.com/watch?v=6LUBbvcxtKA
Power BI — Week on Week and WTD
https://medium.com/@amitchandak.1978/power-bi-wtd-questions-time-intelligence-4-5-98c30fab69d3
https://community.powerbi.com/t5/Community-Blog/Week-Is-Not-So-Weak-WTD-Last-WTD-and-This-Week-vs-La...
https://www.youtube.com/watch?v=pnAesWxYgJ8
Day Intelligence - Last day, last non continous day
https://medium.com/@amitchandak.1978/power-bi-day-intelligence-questions-time-intelligence-5-5-5c324...
Why Time Intelligence Fails - Powerbi 5 Savior Steps for TI :https://youtu.be/OBf0rjpp5Hw
https://amitchandak.medium.com/power-bi-5-key-points-to-make-time-intelligence-successful-bd52912a5b...
To get the best of the time intelligence function. Make sure you have a date calendar and it has been marked as the date in model view. Also, join it with the date column of your fact/s. Refer :radacad sqlbi My Video Series Appreciate your Kudos.
User | Count |
---|---|
66 | |
60 | |
47 | |
33 | |
32 |
User | Count |
---|---|
87 | |
72 | |
56 | |
49 | |
45 |