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Mpodv
New Member

Creating two tables from one data table which has totals

Looking for help creating a display using DAX. I have a semantic model which pushes data (totals and components in one table) to Power BI (can't create relationships in Power BI). What I would like to do is to create two tables based on the data:  One table will show totals, the other table will display nothing until an item is clicked in the first table, and then shows the components. Here's an example:

 

Original Data:

 

GroupingItemOwnerCount
HardwareMouse 9
HardwareMouseA2
HardwareMouseB

3

 

HardwareMouseC4
HardwareKeyboard 8
HardwareKeyboardA1
HardwareKeyboardC2
HardwareKeyboardE5
SoftwareWindows 2
SoftwareWindowsB1
SoftwareWindowsD1
SoftwarePower BI 2
SoftwarePower BIA1
SoftwarePower BIB1

 

Table of totals:

GroupingItemCount
HardwareMouse9
HardwareKeyboard8
SoftwareWindows2
SoftwarePower BI2

 

When for example the first row is clicked in the table, the second table displays:

OwnerCount
A2
B3
C4
1 ACCEPTED SOLUTION
Irwan
Super User
Super User

hello @Mpodv 

 

please check if this accomodate your need.

Irwan_0-1737076699863.png

 

1. create a new measure for calculating 'Counting' value

CountValue = CALCULATE(SUM('Table'[Count]),'Table'[Owner]<>BLANK())
2. plot the measure and column in table visual for first table
Irwan_1-1737076777163.png

3. create another table visual for second table. use visual filter to remove empty value in 'Owner' column.

Irwan_2-1737076877415.png

 

Hope this will help.

Thank you.

 

View solution in original post

1 REPLY 1
Irwan
Super User
Super User

hello @Mpodv 

 

please check if this accomodate your need.

Irwan_0-1737076699863.png

 

1. create a new measure for calculating 'Counting' value

CountValue = CALCULATE(SUM('Table'[Count]),'Table'[Owner]<>BLANK())
2. plot the measure and column in table visual for first table
Irwan_1-1737076777163.png

3. create another table visual for second table. use visual filter to remove empty value in 'Owner' column.

Irwan_2-1737076877415.png

 

Hope this will help.

Thank you.

 

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