This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreLevel up your Power BI skills this month - build one visual each week and tell better stories with data! Get started
Hi all, I want to plot multiple series on the scatter plot visualization. Using data below as an example. Relating the temperature to % of transportation modes. I have data structured as below:
Table 1
| country ID | replicate | region | temp |
| 1 | 1 | north | 25 |
| 1 | 1 | south | 13 |
| 1 | 1 | east | 5 |
| 2 | 1 | north | 30 |
| 2 | 1 | south | 8 |
| 2 | 1 | east | 12 |
| 3 | 1 | north | 67 |
| 3 | 1 | south | 3 |
| 3 | 1 | east | 17 |
and another table. Both are connected via the ID column
Table 2
| country ID | transportation mode | % |
| 1 | car | 25 |
| 1 | bus | 68 |
| 1 | train | 7 |
| 2 | car | 13 |
| 2 | bus | 40 |
| 2 | train | 47 |
| 3 | car | 35 |
| 3 | bus | 54 |
| 3 | train | 11 |
T
I have tried to make a scatter plot as Legend = Table1[ID], X-axis = Table2[%], Y-axis = Table1[temp]. I have a slicer for the region and transportation mode I have to select. and Each dot is individually colored by the ID.
I'd like to have a scatter plot such as. Please excuse the rudimentary drawing
edit:
For table 1, I forgot to mention there are multiple replicates of the temp taken for each country, region. I can do Legend = Table1[region], X-axis = Table2[%], Y-axis = Table1[temp] and that works for above. However it only works if I have a slicer with one replicate chosen. For each country, region pair, I want the average of all the replicates. Maybe a measure somehow?
Solved! Go to Solution.
Hi @goalie_ ,
How about put "%" or "temp" column into "Details" field?
Best Regards,
Icey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @goalie_ ,
How about put "%" or "temp" column into "Details" field?
Best Regards,
Icey
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 31 | |
| 25 | |
| 21 | |
| 18 | |
| 17 |
| User | Count |
|---|---|
| 62 | |
| 34 | |
| 33 | |
| 25 | |
| 24 |