Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

The Power BI DataViz World Championships are on! With four chances to enter, you could win a spot in the LIVE Grand Finale in Las Vegas. Show off your skills.

Reply
AKSatPBI
New Member

DYNAMIC Normal Distribution Plot (Bell shaped curve) using varying Mean (measure)

Hello,

I want to create a dynamic normal distribution plot which shifts on moving the slider. I was using below logic to do so in excel, where on shifting the slider > Mean value changes > X column values get update > thus, normal plot also shifts along x-axis.

AKSatPBI_0-1718354849505.png

 

In BI Desktop, though I am able to vary the Mean measure (using slider), but above table created using the mean measure does not get updated, thus Normal plot doesn't shifts.

 

Have already tried creating UNION(ROW(<above table>)), but it also yields STATIC TABLE.

Same is the case with NORM.DISTR(X, Mean, SD, 0) where X value doesn't get updated.

 

Any solution for this ? 

Thanks ! 

1 ACCEPTED SOLUTION

There is no need for slicers. Use the filter pane.

View solution in original post

3 REPLIES 3
AKSatPBI
New Member

@lbendlin Thanks for the suggestion.

Thing is I have to use 10+ sliders to effect a single plot/mean. So it isn't feasible to tabulate so many permutations. say nPr = 11P10 = 39916800

There is no need for slicers. Use the filter pane.

lbendlin
Super User
Super User

You can't just "move the mean" - you will need to provide a different set of data that justifies the shift of the mean.  

 

For example you could use the slider to add the same value to all your x axis data points.

Helpful resources

Announcements
Las Vegas 2025

Join us at the Microsoft Fabric Community Conference

March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!

FebPBI_Carousel

Power BI Monthly Update - February 2025

Check out the February 2025 Power BI update to learn about new features.

Feb2025 NL Carousel

Fabric Community Update - February 2025

Find out what's new and trending in the Fabric community.