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Hello,
I have a table of projects that each get an overall Project Score. This is a measure that adds the results of other measures to calculate the "riskiness" of a project. Based on the score, each project gets assigned Red/Amber/Green. What I'm having trouble w/is a measure that counts the "green" projects i.e, those projects that have a score greater than 1.75 and less than 6. As you can see from the embedded image, the result should be 15 but it is instead returning 13.
Any insight is appreciated.
Hi @Clint,
I'm not so clear for your table structure, can you please share some dummy data with the same structure? In addition, any filters in your 'M_Overall Project Score' formula? Can you provide this formula for analysis?
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Regards,
Xiaoxin Sheng
Here is the Measure the computes the overall project score:
Here are the Measures that are added in the Overall Project Score:
Hi @Clint,
I found you add some visual level filters, current visual level filter effect only works on current visual. (you can't extract filter effect on other visuals) I'd like to suggest you use these fields on slicer to apply filter effect with other visuals.
In addition, you also use lots of times of keepfilters function in your formulas, I'd like to suggest taking a look at the following blog to know more about its effect and usage.
Regards,
Xiaoxin Sheng
Thanks Xiaoxin, I will take a look.
Hi @Clint ,
I'm just wondering, how are you getting the colored circles, because I would think you could just count the projects where the color is green rather then trying to do the between 2 scores option?
Might not work but thought I'd mention it, sometimes there's many ways to get to the same solution.
Conditional formatting based on the score of the project.
Hi @Clint ,
Is it possible to share your PBIX? Unexpected outcomes is very hard to troubleshoot going from one measure and no data. If you don't want to share publicly you can PM me a link and I will have a look tomorrow or so 🙂
Kind regards
Djerro123
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Hi @JarroVGIT ,
I cannot share the file as it is full of proprietary info but I can share more info on the measure that computes the score, the filters and the table structure. Xiaoxin Sheng asked for additional info in his reply so I will post there to save redundancy 😉
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