cancel
Showing results for 
Search instead for 
Did you mean: 
Reply
Prashasti Frequent Visitor
Frequent Visitor

Median of a column in Table Visualization

Hello,

I have table which has iteration and points covered in each iteration as shown below. I need to group the table as shown in figure 2. The second table contains distinct iterations and total points covered in that iteration. Is there a way to calculate the median of these total points covered in Power BI? I need to use the median for further calculation.

 

Thanks,

Prashasti

Capture.PNG

2 ACCEPTED SOLUTIONS

Accepted Solutions
LivioLanzo Super Contributor
Super Contributor

Re: Median of a column in Table Visualization

Hi @Prashasti

 

you van calculate the median like this:

 

=
MEDIANX (
    ADDCOLUMNS (
        SUMMARIZE ( Data, Data[Iteration] ),
        "Total Points", 1.0 * CALCULATE ( SUM ( Data[Points] ) )
    ),
    [Total Points]
)

 


 


Did I answer your question correctly? Mark my answer as a solution!


Proud to be a Datanaut!  

v-cherch-msft Super Contributor
Super Contributor

Re: Median of a column in Table Visualization

Hi @Prashasti

 

You may try with below measure.

Media =
MEDIANX (
    SUMMARIZE ( Data, Data[Iteration] ),
    CALCULATE ( SUM ( Data[Points] ) )
)
Percent =
DIVIDE ( SUM ( Data[Points] ), CALCULATE ( [Media], ALL ( Data ) ) )

1.png

 

Regards,

Cherie

Community Support Team _ Cherie Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
5 REPLIES 5
LivioLanzo Super Contributor
Super Contributor

Re: Median of a column in Table Visualization

Hi @Prashasti

 

you van calculate the median like this:

 

=
MEDIANX (
    ADDCOLUMNS (
        SUMMARIZE ( Data, Data[Iteration] ),
        "Total Points", 1.0 * CALCULATE ( SUM ( Data[Points] ) )
    ),
    [Total Points]
)

 


 


Did I answer your question correctly? Mark my answer as a solution!


Proud to be a Datanaut!  

Prashasti Frequent Visitor
Frequent Visitor

Re: Median of a column in Table Visualization

Thanks @LivioLanzo, It worked.. I had another doubt. Is it possible to divide the total points of each iteration by the median calculated in this measure? ( In this case 32/38) I need this to calculate the percentage for iteration.

TIA.

v-cherch-msft Super Contributor
Super Contributor

Re: Median of a column in Table Visualization

Hi @Prashasti

 

You may try with below measure.

Media =
MEDIANX (
    SUMMARIZE ( Data, Data[Iteration] ),
    CALCULATE ( SUM ( Data[Points] ) )
)
Percent =
DIVIDE ( SUM ( Data[Points] ), CALCULATE ( [Media], ALL ( Data ) ) )

1.png

 

Regards,

Cherie

Community Support Team _ Cherie Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Prashasti Frequent Visitor
Frequent Visitor

Re: Median of a column in Table Visualization

Thank you @v-cherch-msft , the measure worked perfectly.

Highlighted
Prashasti Frequent Visitor
Frequent Visitor

Re: Median of a column in Table Visualization

Hey @v-cherch-msft,

 

In my actual table there are many iterations and I need to display the top 6 iterations and get the score for them. I modified your percent solution to use AllSelected() instead of All() as suggested by you. However, in my graph visualization(Custom Column Chart), upon selecting a particular iteration,the value of percent changes to 1 for all iterations. 

Hoping you could help out here.

 

Thanks,

Prashasti

 

Capture2.PNGCapture1.PNG

Helpful resources

Announcements
Virtual Launch Event

Microsoft Business Applications October Virtual Launch Event

Join us for an in-depth look at the new innovations across Dynamics 365 and the Microsoft Power Platform.

Power BI Helps Homeless and Trouble Youth

Power BI Helps Homeless and Trouble Youth

We spoke with Power BI Super User, Greg Deckler, about his charity work

MBAS Gallery

Watch Sessions On Demand!

Continue your learning in our online communities.

Top Kudoed Authors
Users Online
Currently online: 105 members 1,595 guests
Please welcome our newest community members: