Aggregating Dates and Categories

[Anonymous]

Sorry for the newbie question, but I am having trouble getting my data to aggregate from individual day level into week, month, and year levels for each of my categories. Here is an example of my data which goes over multiple years:

Date	Testing Status	Product	Location	Count
1/1/2018	Tested	X	HS10	5
1/1/2018	Tested	X	AY1000	100
1/1/2018	Untested	X	HS10	20
1/1/2018	Untested	X	AY1000	20
1/2/2018	Tested	Y	AB5	50
1/2/2018	Untested	Y	AB5	5
1/2/2018	Tested	Z	HS10	30
1/2/2018	Untested	Z	HS10	5

I would like to show the Amount Tested and Untested By Product And Location each week, month, and year, in addition to showing the change to date of each Tested/Untested Product and Location.

I was able to get it to show the date aggregation for all products and each products but not by testing status or location.

Any help would be very apprciated. I have been trying to do this for weeks.

[v-frfei-msft · Accepted solution]

Hi @Anonymous ,

Hi

Firstly to create some calculated column in your fact table.

Year = YEAR('Table1'[Date])

Month = FORMAT('Table1'[Date],"mmm")

week = WEEKNUM('Table1'[Date])

Then we can create two measures to get the result as we need.

Tested = var k = FILTER(Table1,Table1[Testing Status]="Tested")
return
CALCULATE(SUM(Table1[Count]),ALLEXCEPT(Table1,Table1[Year],Table1[Month],Table1[week],Table1[Location],Table1[Product]),KEEPFILTERS(k))

unTested = var k = FILTER(Table1,Table1[Testing Status]="Untested")
return
CALCULATE(SUM(Table1[Count]),ALLEXCEPT(Table1,Table1[Year],Table1[Month],Table1[week],Table1[Location],Table1[Product]),KEEPFILTERS(k))

For mroe details, please check the pbix as attached.

Regards,
Frank