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AzamatKudaev
Frequent Visitor

Show all scale division marks in graph

Hi, everyone!

I am trying to show average count of ‘orders’ through ‘hours’ axis, which has all 24 hours at one graph. However, some of the ‘hours’ is not exist, so, graph does not show all 24 hours on X-axe. I tried make ‘Continuous’ type of X-axe, but result is (screenshot 1). I am trying to catch (screenshot 2) with one addition, that I want see all 24 hours on scale division. Any solutions? Also, I am attaching screenshot 3 with dataset, may be that will help

Screen 1Screen 1Screen 2Screen 2Screen 3Screen 3

Thank you,

Regards.

1 ACCEPTED SOLUTION
parry2k
Super User
Super User

yes it can be achieved, you need following:

 

- an hour dimension table with field hour with 24 records for each hour and connect to your data table on hour

- drop hour from your hour dimension on x axixs and with down arrow on next to hour field on x axis, choose show with no data.

 

i guess this will do it.



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2 REPLIES 2
parry2k
Super User
Super User

yes it can be achieved, you need following:

 

- an hour dimension table with field hour with 24 records for each hour and connect to your data table on hour

- drop hour from your hour dimension on x axixs and with down arrow on next to hour field on x axis, choose show with no data.

 

i guess this will do it.



Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!

Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo

If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤


Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.

Thanks a lot! Did not think about making key table, will use further

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