Forum Discussion
brizy
4 years agoNew Member
Categorizing fields in multiple buckets
I'm trying to create new columns that better reflect total attendance counts. Currently, the following statuses exist: - "RSVP" - "Attended" - "Non RSVP" If a user RSVP's to an event their s...
- Anonymous4 years ago
Hi brizy ,
I created some data:
Here are the steps you can follow:
1. Create calculated column.
Count = var _count= COUNTX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses]=EARLIER('Table'[statuses])),[statuses]) var _max=CALCULATE(MIN('Table'[Date]),FILTER(ALL('Table'),YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses]=EARLIER('Table'[statuses]))) return IF( 'Table'[Date]=_max,_count,0)2. Create calculated table.
True = var _summ1= SUMMARIZE('Table', 'Table'[Date], "statuses","ActualAttendance", "Count", SUMX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses] in { "Attended","Non RSVP"}),[Count])) var _summ11= UNION('Table',_summ1) var _summ2= SUMMARIZE('Table', 'Table'[Date], "statuses","RSVPAttended", "Count", SUMX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses] ="Attended"),[Count])) var _summ22= UNION(_summ11,_summ2) var _summ3= SUMMARIZE('Table', 'Table'[Date], "statuses","NonRSVPAttended", "Count", SUMX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses] ="Non RSVP"),[Count])) var _summ33= UNION(_summ22,_summ3) var _summ4= SUMMARIZE('Table', 'Table'[Date], "statuses","TotalRSVP", "Count", SUMX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses] in { "Attended","RSVP"}),[Count])) var _summ44= UNION( _summ33,_summ4) var _summ5= SUMMARIZE('Table', 'Table'[Date], "statuses","Did not attend", "Count", SUMX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses] ="RSVP"),[Count])) var _summ55= UNION(_summ44,_summ5) return _summ55Create computed column in True table
COUNT_ALL = IF( 'True'[Date]= CALCULATE(MIN('True'[Date]),FILTER(ALL('True'),YEAR('True'[Date])= YEAR(EARLIER('True'[Date]))&&MONTH('True'[Date])=MONTH(EARLIER('True'[Date]))&&'True'[statuses]=EARLIER('True'[statuses]))), [Count],BLANK())3. 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
4 years agoNot applicable
Hi brizy ,
I created some data:
Here are the steps you can follow:
1. Create calculated column.
Count =
var _count=
COUNTX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses]=EARLIER('Table'[statuses])),[statuses])
var _max=CALCULATE(MIN('Table'[Date]),FILTER(ALL('Table'),YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses]=EARLIER('Table'[statuses])))
return
IF(
'Table'[Date]=_max,_count,0)
2. Create calculated table.
True =
var _summ1=
SUMMARIZE('Table',
'Table'[Date],
"statuses","ActualAttendance",
"Count",
SUMX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses] in { "Attended","Non RSVP"}),[Count]))
var _summ11=
UNION('Table',_summ1)
var _summ2=
SUMMARIZE('Table',
'Table'[Date],
"statuses","RSVPAttended",
"Count",
SUMX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses] ="Attended"),[Count]))
var _summ22=
UNION(_summ11,_summ2)
var _summ3=
SUMMARIZE('Table',
'Table'[Date],
"statuses","NonRSVPAttended",
"Count",
SUMX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses] ="Non RSVP"),[Count]))
var _summ33=
UNION(_summ22,_summ3)
var _summ4=
SUMMARIZE('Table',
'Table'[Date],
"statuses","TotalRSVP",
"Count",
SUMX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses] in { "Attended","RSVP"}),[Count]))
var _summ44=
UNION( _summ33,_summ4)
var _summ5=
SUMMARIZE('Table',
'Table'[Date],
"statuses","Did not attend",
"Count",
SUMX(FILTER(ALL('Table'),YEAR('Table'[Date])=YEAR(EARLIER('Table'[Date]))&&MONTH('Table'[Date])=MONTH(EARLIER('Table'[Date]))&&'Table'[statuses] ="RSVP"),[Count]))
var _summ55=
UNION(_summ44,_summ5)
return
_summ55
Create computed column in True table
COUNT_ALL =
IF(
'True'[Date]=
CALCULATE(MIN('True'[Date]),FILTER(ALL('True'),YEAR('True'[Date])= YEAR(EARLIER('True'[Date]))&&MONTH('True'[Date])=MONTH(EARLIER('True'[Date]))&&'True'[statuses]=EARLIER('True'[statuses]))),
[Count],BLANK())
3. 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