Slicer Help on PowerBi Desktop - Dates

[Anonymous]

I have created a report that gives me analysis on ticket trends based on Today, Month, Year, Quater as shown below.

Below is the code I have used and it works perfectly as per what I need and how I have modeled the data :-

 

But, Im facing issues on 2 things.

1. How do we add the Last Week and This Week to the code and make it work ?

2. if I select multiple checkboxes say for eg :- Say I want to compare This Month vs Last Month and select both. It doesn't work. How can we tweak the code to make it work?

Any help would be must appreaciated. 

[v-kkf-msft · Accepted solution]

Hi @Anonymous ,

To get the date of last week and this week, please try the following formula:

SpecialDates = 
var _datetable = DateTable2
var _today = TODAY()
var _month = MONTH(TODAY())
var _year = YEAR(TODAY())
var _thismonthstart = DATE(_year,_month,1)
var _thisyearstart = DATE(_year,1,1)
var _lastmonthstart = EDATE(_thismonthstart,-1)
var _lastmonthend = _thismonthstart-1
var _thisquarterstart = DATE(YEAR(_today),SWITCH(TRUE(),_month>9,10,_month>6,7,_month>3,4,1),1)
var _lastquarterstart = EDATE(_thisquarterstart, -3)
VAR _thisweek = WEEKNUM(TODAY(),2)

return UNION(
    ADDCOLUMNS(FILTER(_datetable,[Date]=_today),"Period","Today","Order",1),
    ADDCOLUMNS(FILTER(_datetable,[Date]=_today-1),"Period","Yesterday","Order",2),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-7),"Period","Last 7 Days","Order",3),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_thismonthstart),"Period","This Month","Order",4),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_lastmonthstart && [Date]<_thismonthstart),"Period","Last Month","Order",5),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_thisquarterstart),"Period","This Quarter","Order",6),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_lastquarterstart && [Date]<_thisquarterstart),"Period","Last Quarter","Order",7),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_thisyearstart),"Period","This Year","Order",8),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-30),"Period","Last 30 Days","Order",9),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-60),"Period","Last 60 Days","Order",10),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-90),"Period","Last 90 Days","Order",11),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-120),"Period","Last 120 Days","Order",12),
    ADDCOLUMNS(FILTER(_datetable,WEEKNUM([Date],2)=_thisweek),"Period","This Week","Order",13),
    ADDCOLUMNS(FILTER(_datetable,WEEKNUM([Date],2)=_thisweek-1),"Period","Last Week","Order",14)
)

If you want to compare data between this month and last month, you can try adding the Period field to the Small multiples pane and then adjusting the number of rows and columns as needed.

If the problem is still not resolved, please provide detailed error information or the expected result you expect. Let me know immediately, looking forward to your reply.

Best Regards,
Winniz

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[Anonymous]

Thanks Amit, though the links and videos are surely of great help I still seem to not get around my head for this Week and Last Week Calculations for count of tickets.

In the above case it I tried adding the below code into the Dax but doesnt work. can you see where Im going wrong. I would need this within the Dax itself and dont want to try outside, as it should work as a filter just like for others.

VAR _thisweek = WEEKNUM(TODAY(),2)

RETURN UNION(

ADDCOLUMNS(FILTER(_datetable,[Date]=_today),"Period","Today","Order",1),

ADDCOLUMNS(FILTER(_datetable,[Date]=_today-1),"Period","Yesterday","Order",2),

ADDCOLUMNS(FILTER(_datetable,[Date]>_today-7),"Period","Last 7 Days","Order",3),

ADDCOLUMNS(FILTER(_datetable,[Date]>=_thismonthstart),"Period","This Month","Order",4),

ADDCOLUMNS(FILTER(_datetable,[Date]>=_lastmonthstart),"Period","Last Month","Order",5),

ADDCOLUMNS(FILTER(_datetable,[Date]>=_thisquarterstart),"Period","This Quarter","Order",6),

ADDCOLUMNS(FILTER(_datetable,[Date]>=_lastmonthstart),"Period","Last Quarter","Order",7),

ADDCOLUMNS(FILTER(_datetable,[Date]>=_thisyearstart),"Period","This Year","Order",8),

ADDCOLUMNS(FILTER(_datetable,[Date]>_today-30),"Period","Last 30 Days","Order",9),

ADDCOLUMNS(FILTER(_datetable,[Date]>_today-60),"Period","Last 60 Days","Order",10),

ADDCOLUMNS(FILTER(_datetable,[Date]>_today-90),"Period","Last 90 Days","Order",11),

ADDCOLUMNS(FILTER(_datetable,[Date]>_today-120),"Period","Last 120 Days","Order",12),

ADDCOLUMNS(FILTER(_datetable,[Date]=_thisweek+1),"Period","This Week","Order",13),

ADDCOLUMNS(_datetable,"Period","Custom...","Order",14)

[v-kkf-msft · Accepted solution]

Hi @Anonymous ,

To get the date of last week and this week, please try the following formula:

SpecialDates = 
var _datetable = DateTable2
var _today = TODAY()
var _month = MONTH(TODAY())
var _year = YEAR(TODAY())
var _thismonthstart = DATE(_year,_month,1)
var _thisyearstart = DATE(_year,1,1)
var _lastmonthstart = EDATE(_thismonthstart,-1)
var _lastmonthend = _thismonthstart-1
var _thisquarterstart = DATE(YEAR(_today),SWITCH(TRUE(),_month>9,10,_month>6,7,_month>3,4,1),1)
var _lastquarterstart = EDATE(_thisquarterstart, -3)
VAR _thisweek = WEEKNUM(TODAY(),2)

return UNION(
    ADDCOLUMNS(FILTER(_datetable,[Date]=_today),"Period","Today","Order",1),
    ADDCOLUMNS(FILTER(_datetable,[Date]=_today-1),"Period","Yesterday","Order",2),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-7),"Period","Last 7 Days","Order",3),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_thismonthstart),"Period","This Month","Order",4),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_lastmonthstart && [Date]<_thismonthstart),"Period","Last Month","Order",5),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_thisquarterstart),"Period","This Quarter","Order",6),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_lastquarterstart && [Date]<_thisquarterstart),"Period","Last Quarter","Order",7),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_thisyearstart),"Period","This Year","Order",8),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-30),"Period","Last 30 Days","Order",9),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-60),"Period","Last 60 Days","Order",10),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-90),"Period","Last 90 Days","Order",11),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-120),"Period","Last 120 Days","Order",12),
    ADDCOLUMNS(FILTER(_datetable,WEEKNUM([Date],2)=_thisweek),"Period","This Week","Order",13),
    ADDCOLUMNS(FILTER(_datetable,WEEKNUM([Date],2)=_thisweek-1),"Period","Last Week","Order",14)
)

If you want to compare data between this month and last month, you can try adding the Period field to the Small multiples pane and then adjusting the number of rows and columns as needed.

If the problem is still not resolved, please provide detailed error information or the expected result you expect. Let me know immediately, looking forward to your reply.

Best Regards,
Winniz

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

[Anonymous]

This worked perfectly fine for me. Just one query..

In the code you have mentioned (-2) which basically takes from Monday. My data is basically picked up from ServiceNow..so when I select Last week it takes as below.

Last Week :- (30th August 2021 00.00.00 hrs (Monday) to 5th September 2021 23.59.59 (Sunday). So can the above query be modified to achieve this? or is there any other way. The reason I want it is some times there are few tickets that might be missed if its not considered the time so there will be a count mis match.  

[v-kkf-msft]

Hi @Anonymous ,

I think it would be more convenient to add date columns, like this:

Create date = FORMAT('Incident Table'[Created datetime], "m/d/yyyy")

Resolved date = FORMAT('Incident Table'[Resolved Datetime], "m/d/yyyy")

  

Best Regards,
Winniz

[Anonymous]

Thanks for all the solutions! 

Though, Im still stuck with the This Week and Last Week as the counts are showing incorrect as shown below. The Code and Relationship all remain same, just dont know why the This is not exactly working correctly. When I check on ServiceNow its showing 39 created tickets for this Week and when I filtered the data in PBI its showing 39 so its nothing got to do with the import. Its only the THIS WEEK Slicer selection showing incorrect count. There is some mismatch with formula or dax we are creating...can you check this?

[v-kkf-msft]

Hi @Anonymous ,

When you select “This Week”, do all the dates in the associated table display correctly?

[Anonymous]

Yes, thats exactly how it is created.

The code remains same for the Special table no change to that but below is the screenshots of the visualization (correct and incorrect one), models and date table columns.

Not sure why its considering 2020 dates as well

This Week Incorrect one

Correct one as shown below :- This is the correct count as per this Week filter. This is the expected output.

Data Table

Data Table

Data Model

Model Connection

DateTable 1 - Date Column

Date Column in DataTable1

DateTable 2 - Date Column

Date Column in Data Table2

Not sure where Im going wrong and whats the issue thats happening. Even my system time shows 9/16/2021 format. Even the model is correct all 

New Created Column for Count

Incident New Created Column

[v-kkf-msft · Accepted solution]

Hi @Anonymous ,

I'm very sorry that I did not consider the different years in my previous calculation. Please try the following formula:

SpecialDates = 
var _datetable = DateTable2
var _today = TODAY()
var _month = MONTH(TODAY())
var _year = YEAR(TODAY())
var _thismonthstart = DATE(_year,_month,1)
var _thisyearstart = DATE(_year,1,1)
var _lastmonthstart = EDATE(_thismonthstart,-1)
var _lastmonthend = _thismonthstart-1
var _thisquarterstart = DATE(YEAR(_today),SWITCH(TRUE(),_month>9,10,_month>6,7,_month>3,4,1),1)
var _lastquarterstart = EDATE(_thisquarterstart, -3)
VAR _thisweek = WEEKNUM(TODAY(),2)

return UNION(
    ADDCOLUMNS(FILTER(_datetable,[Date]=_today),"Period","Today","Order",1),
    ADDCOLUMNS(FILTER(_datetable,[Date]=_today-1),"Period","Yesterday","Order",2),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-7),"Period","Last 7 Days","Order",3),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_thismonthstart),"Period","This Month","Order",4),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_lastmonthstart && [Date]<_thismonthstart),"Period","Last Month","Order",5),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_thisquarterstart),"Period","This Quarter","Order",6),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_lastquarterstart && [Date]<_thisquarterstart),"Period","Last Quarter","Order",7),
    ADDCOLUMNS(FILTER(_datetable,[Date]>=_thisyearstart),"Period","This Year","Order",8),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-30),"Period","Last 30 Days","Order",9),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-60),"Period","Last 60 Days","Order",10),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-90),"Period","Last 90 Days","Order",11),
    ADDCOLUMNS(FILTER(_datetable,[Date]>_today-120),"Period","Last 120 Days","Order",12),
    ADDCOLUMNS(FILTER(_datetable,WEEKNUM([Date],2)=_thisweek && YEAR([Date])=_year),"Period","This Week","Order",13),
    ADDCOLUMNS(FILTER(_datetable,WEEKNUM([Date],2)=_thisweek-1 && YEAR([Date])=_year),"Period","Last Week","Order",14)
)

If the problem is still not resolved, please provide detailed error information or the expected result you expect. Let me know immediately, looking forward to your reply.

Best Regards,
Winniz

[Anonymous]

Thanks Winniz. This works perfectly fine now 🙂 Cant thank you and the community enough for the help.

[amitchandak]

@Anonymous , please refer my blogs on these topics they have columns and example measures

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-Last-Week/ba-p/1051123
https://www.youtube.com/watch?v=pnAesWxYgJ8