Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
Hello,
I am new to power BI and need some assistance in modeling some charts.
I have a 3 column data : Test channels,Test hours and Simulation hours.
I have two requirements -
1. I need to model a graph against log - log scale shown below example and should be able to make if test vs simulation is same o if it falls in 1x , 2x or 3x band on the graph.
2. Should be able to make a comparison as below -
a) Simulation is conservative if Simulation over predicting testing
b) Testing is conservative if testing is over predicting simulation.
c) Test and simulation match
This is my data :
| Channel Name | Test Life (hrs) | Simulation (hrs) |
| A | 209 | 208 |
| B | 2,124 | 3008 |
| C | 999,999 | 216861 |
| D | 8,000 | 400 |
| E | 41,000 | 4500 |
| F | 1,560,009 | 15000 |
| G | 5,699 | 150 |
| H | 698,745 | 8503 |
| I | 999,999 | 45684 |
| J | 209 | 897 |
| K | 15,684 | 6589 |
| L | 999,999 | 158688 |
Graph example :
I will be greatful if any one could help me in this regard.
Thanks,
Dinesh
True that inbuilt scatter plot has limited options, I checked the third party visuals and they too do not have the capability. I will check the phyton and R visuals.
Hi @Anonymous - I don't think the built-in Scatter Plot visual supports most of what you are looking for. There may be a 3rd party visual that does, or you can use an R or Python visual.
Check out the April 2026 Power BI update to learn about new features.
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.
| User | Count |
|---|---|
| 48 | |
| 40 | |
| 38 | |
| 20 | |
| 17 |
| User | Count |
|---|---|
| 68 | |
| 65 | |
| 30 | |
| 26 | |
| 25 |