Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
| well ID | Date (month) | Intervention Key |
| A1 | 12-2-2022 | AH-L |
| A2 | 15-1-2023 | WL |
| A1 | 5-4-2022 | KT |
| A1 | 15-8-2022 | WL |
| A2 | 15-2-2023 | DHSV |
| A2 | 10-7-2023 | KT-L |
| A1 | 01-01-2023 | WL |
Hello everyone,
I need help visualizing maintenance events on my production profile chart in Power BI.
I have two tables:
Production Table (continuous data)
Maintenance Table (non-continuous data)
I would like to:
Is there an easy way to achieve this in Power BI? Any suggestions or best practices would be greatly appreciated!
Thanks in advance
**I've provided sample data for the maintenance table above & sample production data below **
| WELL_Name | Date | Water Rate |
| A1 | 01/01/2022 | 6410.55 |
| A1 | 01/02/2022 | 4763.06 |
| A1 | 01/03/2022 | 1886.78 |
| A1 | 01/04/2022 | 4982.87 |
| A1 | 01/05/2022 | 3513.59 |
| A1 | 01/06/2022 | 4625.7 |
| A1 | 01/07/2022 | 5682.58 |
| A1 | 01/08/2022 | 6426.62 |
| A1 | 01/09/2022 | 1369.74 |
| A1 | 01/10/2022 | 2662.49 |
| A1 | 01/11/2022 | 3323.58 |
| A1 | 01/12/2022 | 3468.75 |
| A1 | 01/01/2023 | 5476 |
| A1 | 01/02/2023 | 2632.59 |
| A1 | 01/03/2023 | 5823.45 |
| A1 | 01/04/2023 | 1064.18 |
| A1 | 01/05/2023 | 4437.96 |
| A1 | 01/06/2023 | 4025.36 |
| A1 | 01/07/2023 | 5971.96 |
| A1 | 01/08/2023 | 6067.46 |
| A1 | 01/09/2023 | 1257.81 |
| A1 | 01/10/2023 | 1874.9 |
| A1 | 01/11/2023 | 7344.33 |
| A1 | 01/12/2023 | 3023.12 |
| A2 | 01/01/2022 | 3513.59 |
| A2 | 01/02/2022 | 3364.77 |
| A2 | 01/03/2022 | 1495.19 |
| A2 | 01/04/2022 | 6674.6 |
| A2 | 01/05/2022 | 4238.58 |
| A2 | 01/06/2022 | 3225.12 |
| A2 | 01/07/2022 | 1300.68 |
| A2 | 01/08/2022 | 3998.92 |
| A2 | 01/09/2022 | 1118.96 |
| A2 | 01/10/2022 | 5921.35 |
| A2 | 01/11/2022 | 5052.11 |
| A2 | 01/12/2022 | 2643.31 |
| A2 | 01/01/2023 | 3327.48 |
| A2 | 01/02/2023 | 6386.45 |
| A2 | 01/03/2023 | 6116.75 |
| A2 | 01/04/2023 | 3931.94 |
| A2 | 01/05/2023 | 7606.3 |
| A2 | 01/06/2023 | 3931.94 |
| A2 | 01/07/2023 | 3886.92 |
| A2 | 01/08/2023 | 6913.59 |
| A2 | 01/09/2023 | 2602.6 |
| A2 | 01/10/2023 | 3322.71 |
| A2 | 01/11/2023 | 2828.76 |
| A2 | 01/12/2023 | 1902.28 |
End result,
1- display production profile as a line and marker only to display if maintenance even took place on that month
2- when hoovering over marker or intervention even to display its code and production value before that date and post that date as tooltip ?
Solved! Go to Solution.
https://github.com/EvaluationContext/Forum-Answers/blob/main/water%20rate.pbix
Add a dimension for wells. And change the acidental 1:1 date->maintance with 1:many
Wells = DISTINCT( Production[WELL_Name] )
Firstly made sure you have date dimension hooked up to the two tables.
Then add a measure with a constant value
RefLine =
calculate(
max( production[water rate],
Removefilters( dates )
)
Add the line, and make it invisible.
You could could use custom data labels with a measure like below to show a icon when there was maintenance
If( not isempty( maintenance ), "🔧")
You can just use the date dimension as the drillthrough for the custom tooltip
https://github.com/EvaluationContext/Forum-Answers/blob/main/water%20rate.pbix
Hi Deku, thanks for your help it worked perfectly fine but what I noticed is that maintenance events are duplicated on the graph for both wells A1 , A2 ? you can't filter using wells
Any idea why?
Add a dimension for wells. And change the acidental 1:1 date->maintance with 1:many
Wells = DISTINCT( Production[WELL_Name] )
@neeesz780 Sounds very possible. But, without sample data to mockup a solution, kind of difficult to be more specific than that.
Sorry, having trouble following, can you post sample data as text and expected output?
Not really enough information to go on, please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882
Also, please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.
Good day @Greg_Deckler , I've updated details with sample data for both tables and expected result ....what is more important is to flag these events on my production profile in any way possible - ideally as a marker
Appreciate your help
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 48 | |
| 45 | |
| 41 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 69 | |
| 64 | |
| 32 | |
| 31 | |
| 27 |