Starting December 3, join live sessions with database experts and the Microsoft product team to learn just how easy it is to get started
Learn moreShape the future of the Fabric Community! Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions. Take survey.
I have 2 tables.
Sector and ID columns are coming from 10-CSV file. Reason and Included columns are coming from 07-CSV file.
Filter with Included column as "Included". I do this filter by applying the filter to the table with the filters tab, not with the DAX.
Here is what I did so far:
Measure = var reason_all = CALCULATE(DISTINCTCOUNT('10-CSV'[ID])) var reason_blank = CALCULATE(DISTINCTCOUNT('10-CSV'[ID]),'07-CSV'[Reason] = BLANK()) var reason_A = CALCULATE(DISTINCTCOUNT('10-CSV'[ID]), '07-CSV'[Reason] = "A") var reason_B = CALCULATE(DISTINCTCOUNT('10-CSV'[ID]), '07-CSV'[Reason] = "B") var reason_C = CALCULATE(DISTINCTCOUNT('10-CSV'[ID]), '07-CSV'[Reason] = "C") RETURN VALUE( IF( ISFILTERED('07-CSV'[Reason]), IF( VALUES( '07-CSV'[Reason]) = BLANK(), reason_blank/reason_all , IF( VALUES( '07-CSV'[Reason]) = "A", reason_A/reason_all, IF( VALUES( '07-CSV'[Reason]) = "B", reason_B/reason_all, IF( VALUES( '07-CSV'[Reason]) = "C", reason_C/reason_all ))))))
With this, I am always getting is 1. The problem is reason_all is not getting out correctly. It comes same as the other reasons. I think when I breakdown the table with the Reason column, it breakdown also.
But it should be like this in order to get the total distinct count of a sector:
With this, every reason will have its percentage of distribution in the same sector. For example, A reason in Retail should show the 8/412 = 0,019. Blank reason in Retail should show the 396/412 = 0,96.
ID column is in text type including values like "100021", "100023".
Solved! Go to Solution.
Hi @frknklcsln ,
I created some data:
07-CSV file:
10-CSV file:
Here are the steps you can follow:
1. Create calculated table.
Table1 =
var _table1=
SUMMARIZE('10-CSV file',
'10-CSV file'[ID],
'10-CSV file'[Sector],"Reason",
CALCULATE(MAX('07-CSV file'[Reason]),FILTER(ALL('07-CSV file'),
'07-CSV file'[ID]='10-CSV file'[ID])))
var _table2=
ADDCOLUMNS(_table1,
"Count",
COUNTX(
FILTER(_table1,
[Sector]=EARLIER('10-CSV file'[Sector])&&[Reason]=EARLIER([Reason])),[ID]))
var _table3=
SUMMARIZE(
_table2,
[Sector],[Reason],[Count])
return
ADDCOLUMNS(
_table3,
"Sum",
SumX(
FILTER(_table3,
[Sector]=EARLIER('10-CSV file'[Sector])),[Count]))
2. Create measure.
COUNTid =
CALCULATE(
MAX('Table1'[Count]),
FILTER(ALL('Table1'),
'Table1'[Sector]=MAX('10-CSV file'[Sector])&&'Table1'[Reason]=MAX('07-CSV file'[Reason])))
SUMid =
CALCULATE(
SUM('Table1'[Sum]),
FILTER(ALL('Table1'),
'Table1'[Sector]=MAX('10-CSV file'[Sector])&&'Table1'[Reason]=MAX('07-CSV file'[Reason])))
Desired Output =
DIVIDE(
[COUNTid],
[SUMid])
3. Result:
If you need pbix, please click here.
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
Hi @frknklcsln ,
I created some data:
07-CSV file:
10-CSV file:
Here are the steps you can follow:
1. Create calculated table.
Table1 =
var _table1=
SUMMARIZE('10-CSV file',
'10-CSV file'[ID],
'10-CSV file'[Sector],"Reason",
CALCULATE(MAX('07-CSV file'[Reason]),FILTER(ALL('07-CSV file'),
'07-CSV file'[ID]='10-CSV file'[ID])))
var _table2=
ADDCOLUMNS(_table1,
"Count",
COUNTX(
FILTER(_table1,
[Sector]=EARLIER('10-CSV file'[Sector])&&[Reason]=EARLIER([Reason])),[ID]))
var _table3=
SUMMARIZE(
_table2,
[Sector],[Reason],[Count])
return
ADDCOLUMNS(
_table3,
"Sum",
SumX(
FILTER(_table3,
[Sector]=EARLIER('10-CSV file'[Sector])),[Count]))
2. Create measure.
COUNTid =
CALCULATE(
MAX('Table1'[Count]),
FILTER(ALL('Table1'),
'Table1'[Sector]=MAX('10-CSV file'[Sector])&&'Table1'[Reason]=MAX('07-CSV file'[Reason])))
SUMid =
CALCULATE(
SUM('Table1'[Sum]),
FILTER(ALL('Table1'),
'Table1'[Sector]=MAX('10-CSV file'[Sector])&&'Table1'[Reason]=MAX('07-CSV file'[Reason])))
Desired Output =
DIVIDE(
[COUNTid],
[SUMid])
3. Result:
If you need pbix, please click here.
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
hi @v-yangliu-msft again, I want to add a new filter to the table1. How can I apply this?
There is a transport mode column in the 07-csv file. And there is another column called Region in the 04-csv file. So the filter is going to be like this:
If the '07-CSV'[transport mode] = "Air",
Then '04-CSV'[Region] <> "Middle East" & '04-CSV'[Region] <> "Europe"
I tried to add this to the Table1 table that you created but I couldnt.
07-csv file has the ID column which I use as the primary key for lookup. 10-CSV has ID and Sec_ID column. Same ID number may contain different Sec_ID numbers. You can think about invoices. Same invoice number may contain different delivery numbers etc.
04-csv has the Sec_ID column. So, I cant create a relationship directly between the 04-csv file and the 07-csv file.
Thank you very much again.
@frknklcsln , try a measure like
Divide(
CALCULATE(DISTINCTCOUNT('10-CSV'[ID]), filter(Allselected('07-CSV') , '07-CSV'[Reason] = max('07-CSV'[Reason]))
, Filter(allselected('10-CSV') , [ID] = max('10-CSV'[ID]) ))
, CALCULATE(DISTINCTCOUNT('10-CSV'[ID])
, Filter(allselected('10-CSV') , [ID] = max('10-CSV'[ID]) ))
)
Seem like there are two tables
Thank you for your time and effort.
Unfortunately, it still shows as 1. The numerator part of the divide function returns blank and the denominator part of the function returns as like mine(2. pic). It gave me an idea tho. Thank you again.
User | Count |
---|---|
94 | |
92 | |
84 | |
83 | |
49 |
User | Count |
---|---|
150 | |
146 | |
112 | |
73 | |
56 |