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New Member

## Need help to calculate average count of the column based on week type column

This is my example table which already has the weektype. Employees are in shift on different week type. I want to calulate the average of employees baesd on weektype (weekend/weekday)

 Employee weektype date team AAA weekend Saturday A AAA weekday Monday A BBB weekday Tuesday B AAA weekday Wednesday A CCC weekday Thursday C
2 ACCEPTED SOLUTIONS
Super User

@Mohivaj I still don't know if I understand what you are asking for, an average over what? But, maybe you are looking for something like this:

``````Average Weekday =
VAR __Table = SUMMARIZE( FILTER('Table', [weektype] = "weekday"), [date], "__Count", COUNTROWS('Table') )
VAR __Result = AVERAGEX( __Table, [__Count])
RETURN
__Result``````

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Community Support

Hi @Mohivaj

@Greg_Deckler  Thank you for sharing !

For your question, here is the method I provided:

Here's some dummy data

"Table"

Create a measure. Calculate the average number of employees working on weekdays and weekends for different teams.

``````Average Employee =
var _week =
CALCULATE(
COUNTROWS('Table'),
FILTER(
ALL('Table'),
'Table'[weektype] = MAX('Table'[weektype])
&&
'Table'[team] = MAX('Table'[team])
)
)
var _total =
CALCULATE(
COUNTROWS('Table'),
FILTER(
ALL('Table'),
'Table'[team] = MAX('Table'[team])
)
)
RETURN _week / _total``````

Here is the result.

Regards,

Nono Chen

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

7 REPLIES 7
New Member
Community Support

Hi @Mohivaj

@Greg_Deckler  Thank you for sharing !

For your question, here is the method I provided:

Here's some dummy data

"Table"

Create a measure. Calculate the average number of employees working on weekdays and weekends for different teams.

``````Average Employee =
var _week =
CALCULATE(
COUNTROWS('Table'),
FILTER(
ALL('Table'),
'Table'[weektype] = MAX('Table'[weektype])
&&
'Table'[team] = MAX('Table'[team])
)
)
var _total =
CALCULATE(
COUNTROWS('Table'),
FILTER(
ALL('Table'),
'Table'[team] = MAX('Table'[team])
)
)
RETURN _week / _total``````

Here is the result.

Regards,

Nono Chen

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Super User

@Mohivaj So, what is the output you are looking for with that sample data and why? I mean, is it average employees per day per week type or by team per week type or ?

@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
The Definitive Guide to Power Query (M)

DAX is easy, CALCULATE makes DAX hard...
New Member

Thanks for the response @Greg_Deckler .

In the power BI visualization

I wanted to show the weekend/weekday avg employee count in a bar chart so that we can find weekend or weekday employee count is more

Super User

@Mohivaj I still don't know if I understand what you are asking for, an average over what? But, maybe you are looking for something like this:

``````Average Weekday =
VAR __Table = SUMMARIZE( FILTER('Table', [weektype] = "weekday"), [date], "__Count", COUNTROWS('Table') )
VAR __Result = AVERAGEX( __Table, [__Count])
RETURN
__Result``````

@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
The Definitive Guide to Power Query (M)

DAX is easy, CALCULATE makes DAX hard...
New Member

Hi @Greg_Deckler I wanted  to visualize the average count of employees working on a weekday vs weekend for a team . If I choose team A I should be able to see the average count of employees working on a weekday and weekend

Super User

@Mohivaj What I provided should work then.

@ me in replies or I'll lose your thread!!!
Instead of a Kudo, please vote for this idea
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
The Definitive Guide to Power Query (M)

DAX is easy, CALCULATE makes DAX hard...

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