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PARTY_ID | Distinct Count of Flags |
11111 | 21 |
222222 | 17 |
333333 | 16 |
444444 | 16 |
555555 | 16 |
666666 | 15 |
777777 | 15 |
888888 | 15 |
999999 | 15 |
10101010 | 15 |
121212121 | 14 |
131313131 | 14 |
141414141 | 14 |
151515151 | 14 |
161616161 | 14 |
171717171 | 14 |
181818181 | 14 |
191919191 | 14 |
202020202 | 14 |
212212121 | 14 |
I need to have some dax so that I can put the above into the following format for a clustered bar chart:
countofPARTY_ID | Distinct Count of Flags |
1 | 21 |
1 | 17 |
3 | 16 |
5 | 15 |
10 | 14 |
i have succesfully got the data out in this format via SQL, but I do not want to lose the PARTY_ID so that I can keep the drill-through capability.
Thanks!
Solved! Go to Solution.
Hi,
In the first example,
Please try "don't summarize" [Distinct count of flags] column in the visualization.
Or,
if you do not have [Distincgt count of flags] column for the axis, like the second example,
please try something like the attached pbix file below.
Count of party measure: =
VAR _distinctcountnumber =
SELECTEDVALUE ( 'Axis calculated table'[Distinct Count of Flags] )
VAR _t =
ADDCOLUMNS (
VALUES ( Data[PARTY_ID] ),
"@distinctcount", CALCULATE ( COUNTROWS ( DISTINCT ( Data[FLAG_ID] ) ) )
)
VAR _resulttable =
FILTER ( _t, [@distinctcount] = _distinctcountnumber )
RETURN
COUNTROWS ( _resulttable )
Hi, I am not sure if I understood your question correctly, but please check the below picture and the attached pbix file.
Hi @Jihwan_Kim , your screenshot shows the needed result but the solution doesn't work. Here is what happens when I do the solution:
It just gives me the number of rows in the table and the count of distinct flags in that table.
Here is an example of the raw data:
PARTY_ID | FLAG_ID |
11111 | a |
11111 | b |
11111 | c |
22222 | a |
22222 | b |
22222 | c |
33333 | a |
44444 | a |
44444 | b |
44444 | c |
44444 | d |
44444 | e |
44444 | f |
44444 | g |
44444 | h |
55555 | a |
55555 | b |
66666 | a |
66666 | b |
77777 | a |
77777 | b |
88888 | a |
88888 | b |
99999 | a |
99999 | b |
And here is the expected result for the above:
countofPARTY_ID | Distinct Count of Flags |
2 | 3 |
1 | 1 |
1 | 8 |
5 | 2 |
hope this makes sense!
Hi,
In the first example,
Please try "don't summarize" [Distinct count of flags] column in the visualization.
Or,
if you do not have [Distincgt count of flags] column for the axis, like the second example,
please try something like the attached pbix file below.
Count of party measure: =
VAR _distinctcountnumber =
SELECTEDVALUE ( 'Axis calculated table'[Distinct Count of Flags] )
VAR _t =
ADDCOLUMNS (
VALUES ( Data[PARTY_ID] ),
"@distinctcount", CALCULATE ( COUNTROWS ( DISTINCT ( Data[FLAG_ID] ) ) )
)
VAR _resulttable =
FILTER ( _t, [@distinctcount] = _distinctcountnumber )
RETURN
COUNTROWS ( _resulttable )
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