Check your eligibility for this 50% exam voucher offer and join us for free live learning sessions to get prepared for Exam DP-700.
Get StartedDon't miss out! 2025 Microsoft Fabric Community Conference, March 31 - April 2, Las Vegas, Nevada. Use code MSCUST for a $150 discount. Prices go up February 11th. Register now.
Hello All,
I have a very flat table
Product -------- Month
A ---------------- JAN
B ---------------- JAN
B ---------------- FEB
D ---------------- JAN
A ---------------- JAN
A ---------------- APR
E ---------------- JAN
How can I found out the count of products, which were sold in previous month but not is follwing month
Product A sold in Jan but not in FEB so I want COUNT of
A = 2 in JAN (becauae A was not sold in Feb but sold twice in Jan)
Do not Show B becaue it was sold in both months
I'll apprecite your help.
Solved! Go to Solution.
HI @Anonymous
You could try this calculated table
Table 2 = VAR T1 = ADDCOLUMNS('Table',"MonthAsDateTime", DATEVALUE('Table'[Month] & "-2018")) VAR LeftTable = SELECTCOLUMNS(T1,"Product",[Product],"MonthAsDateTime",[MonthAsDateTime]) VAR RightTable = SELECTCOLUMNS(T1,"Product",[Product],"MonthAsDateTime",EDATE([MonthAsDateTime],-1)) VAR Exceptions = EXCEPT(LeftTable,RightTable) RETURN GROUPBY(Exceptions,[Product],[MonthAsDateTime],"C", SUMX(CURRENTGROUP(),1))
HI @Anonymous
You could try this calculated table
Table 2 = VAR T1 = ADDCOLUMNS('Table',"MonthAsDateTime", DATEVALUE('Table'[Month] & "-2018")) VAR LeftTable = SELECTCOLUMNS(T1,"Product",[Product],"MonthAsDateTime",[MonthAsDateTime]) VAR RightTable = SELECTCOLUMNS(T1,"Product",[Product],"MonthAsDateTime",EDATE([MonthAsDateTime],-1)) VAR Exceptions = EXCEPT(LeftTable,RightTable) RETURN GROUPBY(Exceptions,[Product],[MonthAsDateTime],"C", SUMX(CURRENTGROUP(),1))
Awsome you are the man!
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Check out the January 2025 Power BI update to learn about new features in Reporting, Modeling, and Data Connectivity.
User | Count |
---|---|
101 | |
66 | |
48 | |
39 | |
34 |
User | Count |
---|---|
166 | |
112 | |
60 | |
56 | |
37 |