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So I have a data source that looks similar to this
Customer ID | Location | Type |
100 | A | Z |
101 | A | Z |
102 | A | X |
103 | B | X |
104 | B | X |
105 | B | Z |
And I am trying to get a distinct count of values based on the location similar to this.
Location | Distinct Customers Type Z | Distinct Customers Type X |
A | 2 | 1 |
B | 1 | 2 |
I was able to create a calucated table to give me a row of distinct values in Location so I have the starting column but I am having a hard time filling the rest of the columns with the correct data. Am I going about this the correct way? And will this data update constantly as the data source gets updated?
Hi @thmonte,
I was able to create a calucated table to give me a row of distinct values in Location so I have the starting column but I am having a hard time filling the rest of the columns with the correct data. Am I going about this the correct way? And will this data update constantly as the data source gets updated?
The data in a calculated column/table will update constantly as the data source gets updated. Because the calculated column/table is computed during the database processing(like a data refresh) and then stored in the model. However, it cannot be affected by user selections on the report.
As suggested by Sean above, using a measure or Matrix visual should work in your scenario.
Regards
This what your Measures should look like
Distinct Customers TypeZ =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Customer ID] ),
FILTER ( 'Table', 'Table'[Type] = "Z" )
)
However if you don't want to build individual Measures for each Type
Create a Matrix - place Location in the Rows, Type in the Columns and drag CustomerID to the Values
right click on CustomerID to change the built-in aggregation to Count(Distinct)
You should get the result you posted above!
User | Count |
---|---|
124 | |
108 | |
99 | |
62 | |
62 |
User | Count |
---|---|
137 | |
115 | |
102 | |
71 | |
61 |