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I want to summarise a table in my data model, and then add a cumulative count column which I can use for further analysis. I need this to be a calculated column rather than a measure. Currently, I am using SUMMARIZE() to create one table, and then using CALCULATE() and EARLIER() to create another table based on it. I would like to summarise the other table and create the running total in the same table, or otherwise not add tables to the data model. (Currently I am hiding the intermediate table, but I will have to hand this over to someone else and I'd rather avoid that if I can).
DAX for example tables
Raw Data = DATATABLE("Type",STRING,"Day",INTEGER,{
{"A",1},{"A",1},{"A",2},{"A",4},{"A",7},{"B",2},{"B",2},{"B",3}
})
Intermediate Table = SUMMARIZE('Raw Data', 'Raw Data'[Day], 'Raw Data'[Type],
"Count", count('Raw Data'[Day]))
Running Total = ADDCOLUMNS('Intermediate Table', "Running Total",
CALCULATE(SUM('Intermediate Table'[Count]), ALL('Intermediate Table'),
'Intermediate Table'[Day] <= EARLIER('Intermediate Table'[Day]),
'Intermediate Table'[Type] = EARLIER('Intermediate Table'[Type])))
Solved! Go to Solution.
hi @user10456 ,
not sure if i fully get you, try like:
table =
VAR _table1 =
ADDCOLUMNS(
SUMMARIZE(
'Raw Data',
'Raw Data'[Day],
'Raw Data'[Type]
),
"Count",
CALCULATE(COUNTROWS('Raw Data'))
)
VAR _table2 =
ADDCOLUMNS(
_table1,
"Running Total",
SUMX(
FILTER(_table1, [Day]<=EARLIER([Day])&&[Type]=EARLIER([Type]) ),
[Count]
)
)
return _table2
it worked like:
hi @user10456 ,
not sure if i fully get you, try like:
table =
VAR _table1 =
ADDCOLUMNS(
SUMMARIZE(
'Raw Data',
'Raw Data'[Day],
'Raw Data'[Type]
),
"Count",
CALCULATE(COUNTROWS('Raw Data'))
)
VAR _table2 =
ADDCOLUMNS(
_table1,
"Running Total",
SUMX(
FILTER(_table1, [Day]<=EARLIER([Day])&&[Type]=EARLIER([Type]) ),
[Count]
)
)
return _table2
it worked like:
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