Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Sign up nowGet Fabric certified for FREE! Don't miss your chance! Learn more
Hello,
I have the following dataset, and I'm aiming to visualize it in the most intuitive way. I want to display the percentage of failed products for each product type per every indicator, with the option to filter by a specific product type or view all products types in the graph.
| Serial Number | Product type | Indicator 1 | Indicator 2 | Indicator 3 | Indicator 4 | Indicator 5 | Indicator 6 | Indicator 7 | Indicator 8 | Indicator 9 | Indicator 10 |
| 1 | A | Pass | Pass | Fail | Pass | Fail | Pass | Fail | Fail | Pass | Pass |
| 2 | A | Fail | Pass | Fail | Pass | Fail | Pass | Fail | Pass | Fail | Pass |
| 3 | A | Pass | Pass | Fail | Pass | Fail | Pass | Fail | Pass | Pass | Pass |
| 4 | A | Fail | Pass | Fail | Pass | Fail | Pass | Fail | Pass | Fail | Pass |
| 5 | A | Fail | Pass | Fail | Pass | Fail | Fail | Fail | Fail | Fail | Pass |
| 6 | B | Pass | Pass | Pass | Pass | Fail | Pass | Fail | Pass | Pass | Pass |
| 7 | B | Fail | Pass | Fail | Pass | Fail | Pass | Fail | Pass | Fail | Pass |
| 8 | B | Pass | Pass | Pass | Pass | Fail | Pass | Pass | Pass | Pass | Pass |
| 9 | B | Fail | Pass | Fail | Pass | Fail | Pass | Fail | Fail | Fail | Pass |
| 10 | B | Fail | Pass | Fail | Pass | Fail | Fail | Pass | Pass | Fail | Pass |
| 11 | C | Fail | Pass | Fail | Pass | Fail | Fail | Pass | Pass | Fail | Pass |
| 12 | C | Fail | Pass | Fail | Pass | Fail | Fail | Pass | Pass | Fail | Pass |
| 13 | C | Fail | Pass | Fail | Pass | Fail | Fail | Pass | Pass | Fail | Pass |
| 14 | C | Fail | Pass | Fail | Pass | Fail | Fail | Fail | Fail | Fail | Pass |
| 15 | C | Fail | Pass | Fail | Pass | Fail | Fail | Pass | Pass | Fail | Pass |
| 16 | D | Fail | Pass | Fail | Pass | Fail | Fail | Pass | Pass | Fail | Pass |
| 17 | D | Pass | Fail | Pass | Pass | Fail | Fail | Pass | Pass | Pass | Fail |
| 18 | D | Fail | Fail | Fail | Pass | Fail | Fail | Fail | Pass | Fail | Fail |
| 19 | D | Pass | Fail | Pass | Pass | Fail | Fail | Fail | Pass | Pass | Fail |
| 20 | D | Fail | Fail | Pass | Pass | Fail | Fail | Pass | Pass | Fail | Fail |
I attempted to create a different measure for each indicator and use it in a stacked bar chart. The Y-axis represents the product type, and the X-axis consists of the 10 different indicator measures. However, I find the graph difficult to read and not very intuitive.
Here are the DAX formulas for the percentage of failed indicators:
Indicator-1 =
CALCULATE(COUNT('Table'[Serial Number]), 'Table'[Indicator 1] = "Fail") /
COUNT('Table'[Serial Number])Indicator-2 =
CALCULATE(COUNT('Table'[Serial Number]), 'Table'[Indicator 2] = "Fail") /
COUNT('Table'[Serial Number])
... Repeat for other indicators ...
If you have any creative ideas, please share them. Thank you!
Solved! Go to Solution.
I was able to get this done using Radial Bar chart, I downloaded it and used it. I had 10 radial bar charts for each one of the indicators. Below I am showing the chart for indicator 1 only.
I was able to get this done using Radial Bar chart, I downloaded it and used it. I had 10 radial bar charts for each one of the indicators. Below I am showing the chart for indicator 1 only.
@Anonymous , better to unpivot this table and have indicator on row. That will give a better model to solve the problem
Unpivot Data(Power Query): https://youtu.be/2HjkBtxSM0g
Percent of Total and Percent of SubTotal https://www.youtube.com/watch?v=6jTildcV2ho
https://www.youtube.com/watch?v=cN8AO3_vmlY&t=24270s
You can use stacked visual
Hey @amitchandak , it will be hard to unpivot the table because the actual data has millions of rows and around 12 indicators out of 75 existing columns.
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 65 | |
| 64 | |
| 49 | |
| 21 | |
| 18 |
| User | Count |
|---|---|
| 119 | |
| 117 | |
| 38 | |
| 36 | |
| 27 |