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Anonymous
Not applicable

how to apply field to Small Multiple or Column Series under this situation?

Hi Senior Users,

 

Could you please help on following scenario:

We would like to get the Performance by Department on the basis of their focused "Key Queries".

In attached file has 2 sample charts with sample data. Please click there to download the sample PBI file.

 

For example: following is the overall performance, we want to make the "Department" to be Small Multiples.

h_l_0-1644371724069.png

In the data, there are tables like:

h_l_1-1644371741811.png

 

It’s little complex to me, as single “Query” may contain more than 1 focused "Key Queries" belongs to different department.

 

For example: "TESLA Premier download", contains Key Queries belong "Software" and "Service" Department, so, after applying "Department" to Small Multiples or Colmn Series, it shall be included in both charts / columns.

 

Hopefully the chart can be drilled down / up by date hierarchy as well (in other cases, I see some times drill up / down will not work)

h_l_2-1644371765712.png

 

Thank you and have safe day!

H

 

1 ACCEPTED SOLUTION
lbendlin
Super User
Super User

@Anonymous See attached. It took a bit of reorganizing your data model to achieve the goal.  You may want to shift that to the data acquisition phase. With cleaner source data the visualizations become easier too.

 

lbendlin_0-1644710594550.png

 

View solution in original post

2 REPLIES 2
lbendlin
Super User
Super User

@Anonymous See attached. It took a bit of reorganizing your data model to achieve the goal.  You may want to shift that to the data acquisition phase. With cleaner source data the visualizations become easier too.

 

lbendlin_0-1644710594550.png

 

Anonymous
Not applicable

Hi @lbendlin , sorry for the late repy. I just downloaded and look into it, if my understanding is not wrong, the method is to "copy" another row if the search term contains more than 1 keywords contained in more than 1 department.

I much appreciate your help.

Have a joyful day!

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