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 moreDid you hear? There's a new SQL AI Developer certification (DP-800). Start preparing now and be one of the first to get certified. Register now
Hi There,
I have loaded a CSV into Power BI desktop. Each of the KPI's are a different row in the CSV however that means all the values are in the same column, so when i go to plot a scatter chart i cant plot one of the KPI's against another. I thought there might be a way to have different filters for the x and y axis but i cant seem to find it. Anyone got any ideas?
Cheers
Hi @alext89,
>> Each of the KPI's are a different row in the CSV however that means all the values are in the same column.
It's confusng, in your resource data table, there must have many different rows in one column, when you load it into Power BI desktop, there are still in one column. Why you said "all the values are in the same column", they should not in one column?
When you create a scatter chart, you can filter the value by "visual level filters" highlighted in red line.
Best Regards,
Aneglia
yes the CSV is set out like this:
| Month | Metric | Value |
| Jan | Metric 1 | 3 |
| Jan | Metric 2 | 4 |
| Jan | Metric 3 | 2 |
| Feb | Metric 1 | 5 |
| Feb | Metric 2 | 2 |
| Feb | Metric 3 | 4 |
| Mar | Metric 1 | 1 |
| Mar | Metric 2 | 4 |
| Mar | Metric 3 | 2 |
I want to be able to plot for example metric 2 as the x axis and metric 1 as the y axis for each month. Does that make more sense?
Hi @alext89,
As I testet, it we are unable to get what you want. It makes no sense in PowerBI visual.
Thanks,
Angelia
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 |
|---|---|
| 36 | |
| 33 | |
| 31 | |
| 21 | |
| 16 |
| User | Count |
|---|---|
| 66 | |
| 55 | |
| 31 | |
| 24 | |
| 23 |