Having two different measures in same dataset - one for Total and another for group by total

[Anonymous]

I have created two different mesaures to have overall count and TypeCount by grouping.

Mesaure : 

TotalCount = DISTINCTCOUNT(Query1[Product])

TotalTypeCount = 

TotalIncidentCountByGroupForMonitor = CALCULATE ( COUNT ( Query1[Product] ), ALLEXCEPT ( Query1, Query1[Type] ))

Raw Data : 

Product	Type
A	X
B	Y
C	Z
D	X
E	X

Expected Output in Table/Matrix :

Type	TypeCount	Overall Total	% of Total
X	3	5	60
Y	1	5	20
Z	1	5	20

But getting Output in Table/Matrix when adding the Type :

Type	TypeCount	Overall Total	% of Total
X	3	3	100
Y	1	1	100
Z	1	1	100

Can you please help me to acheive my desired output

[Anonymous]

Hi  @Anonymous ,

Here are the steps you can follow：

Single group statistics:：

1. Create calculated table.

Table =
var _count1=COUNT('Row Data'[Type])
var _1=COUNTX(ALL('Row Data'),'Row Data'[Type])
var _2=
SUMMARIZE('Row Data','Row Data'[Type],
"Type Count",COUNT('Row Data'[Type]),
"Overall",COUNTX(ALL('Row Data'),'Row Data'[Type]))
return _2

2. Create calculated column.

percen = DIVIDE('Table'[Type Count],'Table'[Overall])

3. Result.

Multiple statistical groups:

1. Create calculated table.

Table 2 =
var _count1=COUNT('Row Data'[Type])
var _1=COUNTX(ALL('Row Data'),'Row Data'[Type])
var _2=
SUMMARIZE('Row Data','Row Data'[Week],'Row Data'[Type],
"Type Count",COUNT('Row Data'[Type]),
"Overall",COUNTX(ALL('Row Data'),'Row Data'[Type]))
return _2

2. Create calculated column.

Percen =
DIVIDE('Table 2'[Type Count],'Table 2'[Overall])

3. Result.

You can downloaded PBIX file from 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.

[amitchandak]

@Anonymous ,

I am getting the expected results

Measure = count('Table (3)'[Type])
Measure 2 = CALCULATE(count('Table (3)'[Type]), ALL('Table (3)'[Type]))
Percen = DIVIDE([Measure],[Measure 2])

[Anonymous]

Can you please help me to get the correct count when grouping by more than 1 column