- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content

Data visualization challenge
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.

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content

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.

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content

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.
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content

@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
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content

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.

Helpful resources
Subject | Author | Posted | |
---|---|---|---|
09-15-2023 05:48 AM | |||
11-07-2023 02:21 AM | |||
08-13-2024 07:27 AM | |||
Anonymous
| 01-20-2024 07:05 PM | ||
08-05-2024 12:53 PM |
User | Count |
---|---|
117 | |
99 | |
84 | |
53 | |
47 |