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Frequent Visitor

## Help Calculating School Performance Index in Power BI (Complicated Calculation in Power BI)

Hi Friends,

I am trying to calculate a school and district's "Performance Index" in Power BI.

1) Calculate the percentage of tests in each subject that fall into a given performance level (limited, proficient, advanced).

2)Assign points based on the percentage of tests in each performance level. (For example, advanced is worth 2 points, proficient is worth 1, and limited is worth 0.5. A school with 50% of students in the Limited category, 30% of students in the Proficient category, and 20% of students in the Advanced category would earn 95 points, because (50 x 0.5)+(30 x 1) + (20 x 2) = 95 points.)

My data is formatted as follows

 student_id subject school_year performance_level 1234 Math 2022 Limited 1234 Reading 2022 Proficient 5678 Math 2022 Advanced 5678 Reading 2022 Proficient 1357 Math 2022 Limited 1357 Reading 2022 Limited

There will be multiple school years in this file as well - this is a simplified view.

How would I approach this in Power BI? Would it be best to do this in PowerQuery somehow, or would it be better to create a measure in DAX? A mixture of both?

PowerBI is not something I frequently use and am very much a beginner, so I appreciate any help you can provide!

1 ACCEPTED SOLUTION
Community Support

``````percentage =
VAR _count = COUNTROWS('Table') + 0
VAR _total = CALCULATE(COUNTROWS('Table'),ALLEXCEPT('Table','Table'[subject],'Table'[school_year]))
VAR _percentage = DIVIDE(_count,_total)
RETURN
_percentage``````
``````points =
VAR _subject= MAX('Table'[subject])
VAR _year = MAX('Table'[school_year])
VAR _Proficient = SUMX(FILTER('Table','Table'[subject]=_subject&&'Table'[school_year]=_year&&'Table'[performance_level]="Proficient"),[percentage])+0
VAR _Limited = SUMX(FILTER('Table','Table'[subject]=_subject&&'Table'[school_year]=_year&&'Table'[performance_level]="Limited"),[percentage])+0
RETURN
_Point``````

M or DAX? That is the Question

When should I favor DAX over PowerQuery for perfor...

Comparing DAX calculated columns with Power Query computed columns

Best Regards,
Gao

Community Support Team

If there is any post helps, then please consider Accept it as the solution  to help the other members find it more quickly. If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!

How to get your questions answered quickly -- How to provide sample data

3 REPLIES 3
Community Support

``````percentage =
VAR _count = COUNTROWS('Table') + 0
VAR _total = CALCULATE(COUNTROWS('Table'),ALLEXCEPT('Table','Table'[subject],'Table'[school_year]))
VAR _percentage = DIVIDE(_count,_total)
RETURN
_percentage``````
``````points =
VAR _subject= MAX('Table'[subject])
VAR _year = MAX('Table'[school_year])
VAR _Proficient = SUMX(FILTER('Table','Table'[subject]=_subject&&'Table'[school_year]=_year&&'Table'[performance_level]="Proficient"),[percentage])+0
VAR _Limited = SUMX(FILTER('Table','Table'[subject]=_subject&&'Table'[school_year]=_year&&'Table'[performance_level]="Limited"),[percentage])+0
RETURN
_Point``````

M or DAX? That is the Question

When should I favor DAX over PowerQuery for perfor...

Comparing DAX calculated columns with Power Query computed columns

Best Regards,
Gao

Community Support Team

If there is any post helps, then please consider Accept it as the solution  to help the other members find it more quickly. If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!

How to get your questions answered quickly -- How to provide sample data

Frequent Visitor

Wow, thank you so much for the help with this! I do have one question -- what is the reason for adding a zero at the end of the SUMX calculations? Is it so it doesn't return an error in the case of a null/blank value?

Community Champion

Power Query is best for ETL, DAX is best for calculations.

Regards
Amine Jerbi

and you can follow me on

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