Forum Discussion
Want to create a table which include date wise unique count of users who are completely fresh
I have table which contains User_ID and Date Column from 1 st of Jan 2022 represent login activity on website
I Want to create a table which include date wise unique count of users who are completely fresh (never visited before)
Like on 2nd January there are 10 new user who are not visited in 1st of January or on 1st of March there are 7 new user who are not visited in last two month(Jan and Feb)
Please give me best and easy way to do it.
Thanks in advance
speedramps Thanks for your time
But we required to create a line chart as per daily fresh inflow of user.Please find attached snap wrt required line chart with automatic uopdate the same unique count day wise.
Table1:
User ID Date A 1/1/2022 B 1/1/2022 C 1/1/2022 D 1/1/2022 B 1/2/2022 D 1/2/2022 E 1/2/2022 D 1/3/2022 F 1/3/2022 G 1/3/2022
Output:
Date Unique Count of user 1/1/2022 4 1/2/2022 1 1/3/2022 2 - Anonymous4 years ago
Hi ddpl ,
Here are the steps you can follow:
1. In Power query. Add Column – Index Column – From 1.
2. Create measure.
Flag = var _1=CALCULATE(MAX('Table'[User ID]),FILTER(ALL('Table'),'Table'[Index]=MAX('Table'[Index])&&'Table'[Date]<=MAX('Table'[Date]))) var _2=CALCULATE(MAX('Table'[User ID]),FILTER(ALL('Table'),'Table'[Index]=MAX('Table'[Index])&&'Table'[Date]=MAX('Table'[Date]))) return CALCULATE(DISTINCTCOUNT('Table'[User ID]), FILTER(ALL('Table'), _2 in SELECTCOLUMNS('Table',"id",_1)&&'Table'[Date]<=MAX('Table'[Date])))Unique Count of user = var _index1=MAXX(FILTER(ALL('Table'),'Table'[Date]=MAX('Table'[Date])),[Flag]) var _index2=MAXX(FILTER(ALL('Table'),'Table'[Date]=MAX('Table'[Date])-1),[Flag]) return _index1 - _index22. Result:
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
Anonymous
Its worked, Thanks a lot for your time
Hi Liu
Can I use below dax instead of yours?
Flag New = CALCULATE(DISTINCTCOUNT('Table'[User ID]), FILTER(ALL('Table'),'Table'[DDate]<=MAX('Table'[Date])))Unique Count of USer =var _index1=MAXX(FILTER(ALL('Table'),'Table'[Date]=MAX('Table'[Date])),[Flag New])var _index2=MAXX(FILTER(ALL('Table'),'Table'[Date]=MAX('Table'[Date])-1),[Flag New])return_index1 - _index2This also give me same result.
8 Replies
- AnonymousNot applicable
Hi ddpl ,
Here are the steps you can follow:
1. In Power query. Add Column – Index Column – From 1.
2. Create measure.
Flag = var _1=CALCULATE(MAX('Table'[User ID]),FILTER(ALL('Table'),'Table'[Index]=MAX('Table'[Index])&&'Table'[Date]<=MAX('Table'[Date]))) var _2=CALCULATE(MAX('Table'[User ID]),FILTER(ALL('Table'),'Table'[Index]=MAX('Table'[Index])&&'Table'[Date]=MAX('Table'[Date]))) return CALCULATE(DISTINCTCOUNT('Table'[User ID]), FILTER(ALL('Table'), _2 in SELECTCOLUMNS('Table',"id",_1)&&'Table'[Date]<=MAX('Table'[Date])))Unique Count of user = var _index1=MAXX(FILTER(ALL('Table'),'Table'[Date]=MAX('Table'[Date])),[Flag]) var _index2=MAXX(FILTER(ALL('Table'),'Table'[Date]=MAX('Table'[Date])-1),[Flag]) return _index1 - _index22. Result:
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
- ddpl
Solution Sage
Anonymous
Its worked, Thanks a lot for your time
- ddpl
Solution Sage
Hi Liu
Can I use below dax instead of yours?
Flag New = CALCULATE(DISTINCTCOUNT('Table'[User ID]), FILTER(ALL('Table'),'Table'[DDate]<=MAX('Table'[Date])))Unique Count of USer =var _index1=MAXX(FILTER(ALL('Table'),'Table'[Date]=MAX('Table'[Date])),[Flag New])var _index2=MAXX(FILTER(ALL('Table'),'Table'[Date]=MAX('Table'[Date])-1),[Flag New])return_index1 - _index2This also give me same result.
- speedramps
Super User
Consider this solution,
Please click the thumbs up for me helping you.
And click Accept As Solution if it fixes your problemNumber of new customers =
/* Documentation
Get number of new customers as follows:-
Use addcolumns to get subset with (CustomerKey,Previous Rows)
Then filter the subset to just to include CustomerKeys with no previous rows.
Then count the number of Customers
*/VAR mindate = MIN ( 'Calendar'[Date] )
VAR NewCustomers =
FILTER (
ADDCOLUMNS (
VALUES ( FactSales[CustomerKey] ),
"PreviousRows",
CALCULATE (COUNTROWS (FactSales ),
FILTER (ALL ( 'Calendar'[Date] ),'Calendar'[Date] < mindate))
),
[PreviousRows] = 0
)RETURN
COUNTROWS(NewCustomers) - ddpl
Solution Sage
I have data...
User ID Date A 01-01-22 B 01-01-22 C 01-01-22 D 01-01-22 B 01-02-22 D 01-02-22 E 01-02-22 D 01-03-22 F 01-03-22 G 01-03-22 I want output as below...
Fresh Users Date 4 01-01-22 (A,B,C,D) 1 01-02-22 (E) 2 01-03-22 (F,G)
- speedramps
Super User
Try this and please click the thumbs up for me helping you.
And click Accept As Solution if it fixes your problem
create this measureNew Users =VAR myset = VALUES(Facts[User ID] )RETURN"(" &CONCATENATEX (myset ,Facts[User ID],", " )& ")"then drag and drop Date and New Users to a table visual - ddpl
Solution Sage
speedramps Thanks for your time
But we required to create a line chart as per daily fresh inflow of user.Please find attached snap wrt required line chart with automatic uopdate the same unique count day wise.
Table1:
User ID Date A 1/1/2022 B 1/1/2022 C 1/1/2022 D 1/1/2022 B 1/2/2022 D 1/2/2022 E 1/2/2022 D 1/3/2022 F 1/3/2022 G 1/3/2022
Output:
Date Unique Count of user 1/1/2022 4 1/2/2022 1 1/3/2022 2