Count number of records of in different columns after grouping the data in a single column

[karun_r]

I have a table like below:

ColumnA  -- ColumnB -- Column3 -- Column4

      123              DEV             SRE               DBA

      123              MGR            SRE               NSE

      112              DEV             PMO             NSE

      112              DEV             PMO             NSE

Here ColumnA is the master column on which I want to perform the aggregated calculations. I want a result something like this:

A           DEV      MGR     SRE       PMO         NSE         DBA

123         1            1          2            0               1              1

112         2            0          0            2               2               0

I tried to calculate the SUM of DEV using the below formula

DEV = 

CALCULATE ( COUNTROWS ( 'TableName' ), 'TableName'[ColumnB] = "DEV", 'TableName'[ColumnA] ='TableName'[ColumnA] )

But whenever I attempt the same for other values like MGR, SRE etc I face a circulare dependecy warning even though I am not using the DEV column for calculating the values

Here is the example for counting my MGR count

DEV = 

CALCULATE ( COUNTROWS ( 'TableName' ), 'TableName'[ColumnB] = "MGR", 'TableName'[ColumnA] ='TableName'[ColumnA] )

Is there any better approach for this ? I am newbie in PowerBI. Started using it just today. So any pointers would be very helpful.

[Anonymous · Accepted solution]

Personally I would unpivot the data into something like:

ColumnA | Position    | Role

------------------------------
    123      |  ColumnB | DEV

    123      | Column3  | SRE

...

To make the analysis dynamic you could create one measure - simple count of rows, and then use a Matrix visual - put ColumnA on the rows, column Role on columns and created measure on the values. That would work even if a particular "role" (DEV, DBA, etc.) can repeat in multiple columns in the original table.

--

But if you just need to perform a quick analysis on the data as it is, and the assumption can be done that a "role" (DEV, DBA, etc.) can show up in just one column, then you can easily create all necessary measures using Quick Measures feature. Example of how DEV measure could be configured with Filtered value calculation:

DEV measure

Then you can follow the above pattern for all other roles.

Hope this helps.

Cheers,

Pawel

[v-yulgu-msft · Accepted solution]

Hi @karun_r,

You can unpivot table in Query Editor.

Alternatively, you can get the unpivot table structure via creating a calculated table.

Table1_1 =
UNION (
    SELECTCOLUMNS ( Table1, "Column1", Table1[ColumnA], "Column2", Table1[ColumnB] ),
    SELECTCOLUMNS ( Table1, "Column1", Table1[ColumnA], "Column2", Table1[Column3] ),
    SELECTCOLUMNS ( Table1, "Column1", Table1[ColumnA], "Column2", Table1[Column4] )
)

Based on the new table, you could use a matrix to display data, as adviced by pawelpo.

Best regards,
Yuliana Gu

[Anonymous · Accepted solution]

Personally I would unpivot the data into something like:

ColumnA | Position    | Role

------------------------------
    123      |  ColumnB | DEV

    123      | Column3  | SRE

...

To make the analysis dynamic you could create one measure - simple count of rows, and then use a Matrix visual - put ColumnA on the rows, column Role on columns and created measure on the values. That would work even if a particular "role" (DEV, DBA, etc.) can repeat in multiple columns in the original table.

--

But if you just need to perform a quick analysis on the data as it is, and the assumption can be done that a "role" (DEV, DBA, etc.) can show up in just one column, then you can easily create all necessary measures using Quick Measures feature. Example of how DEV measure could be configured with Filtered value calculation:

DEV measure

Then you can follow the above pattern for all other roles.

Hope this helps.

Cheers,

Pawel