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

We've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now

Reply
Crisomac19
Regular Visitor

Data Visualization

Hello!

 

I need help with the data it appears on my Stacked Column Chart. I working with a company income data (March tu June). If i only show the income data I get only the info of the months with data, but when I add a line y-axis to record the month to month chage, i get an extra month (July) which i have no data yet. Is there a way to not show july, or any month where data doesn't exist?

 

Also, as you can see in the image bellow, even dow i have a positive increase from april to may, it may appear from the line that it decreased. Is there a way to correct the slope?

 

Thank you in advance for any help I can get.

 

Screenshot 2023-06-23 185802.png

2 REPLIES 2
Ashish_Mathur
Super User
Super User

Hi,

Assuming the Month names on the X-axis have been dragged from the Calendar table, ensure that the last date inthe Calendar Table is till the last day of the current month.


Regards,
Ashish Mathur
http://www.ashishmathur.com
https://www.linkedin.com/in/excelenthusiasts/
mahenkj2
Solution Sage
Solution Sage

Hi @Crisomac19 

 

1. You can use a slicer on top to able to avoid latest month for which data is not available.

2. Use a DAX measure with IF THEN ELSE condition to check if column data is available or not.

 

Hope it helps.

Helpful resources

Announcements
New to Fabric survey Carousel

New to Fabric Survey

If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.

Join our Fabric User Panel

Join our Fabric User Panel

Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.