Year to date average

[greemlin]

Hi,

I'm a recent user of PowerBI, and I have a question to build a report based on the Billable activities VS non Billable activities

I've got the source as follow with the date of the activity, the duration of it, and whether it is a Customer Service, or internal, etc. activity type.

I've just regrouped the my activities on the Billable ones, vs the Non Billable ones, to get the following report.

Now, i'd like to display a line showing the Year to Date average of Billable part.

It means:

• in January, i'd like it to show 43.60%,
• in February, it should show (43.60+43.22)/2 = 43.41%
• in March, it should show (43.60+43.22+60.99)/3 =  49.27%

I don't know how to do that with PowerBI.
If anyone can help, that would be great.

Thank you,

Nicolas

[tringuyenminh92]

Hi @greemlin,

Cause i'm so sleepy(as Vietnam timezone) , so please try my workaround solution like this:

(I just consider this as workaround solution cause i use calculated column and fix in year scenario)

• Group by Month and sum bill & non-bill 

B = SUMMARIZE(Activities,Activities[Month],Activities[MonthInt],"Bill",CALCULATE(sum(Activities[Activity Duration]),Activities[ActivitySimplied]="Others"),"Non",CALCULATE(sum(Activities[Activity Duration]),Activities[ActivitySimplied]<>"Others") )

Now you have data same as picture: 

• Calculated column Total: 

  total = B[Bill] + B[Non]

• Create Dates table: Dates= Calendarauto()
• Create calculated column for % Bill:

% bill = DIVIDE(B[Bill],B[total])

• Create calculated column for % non-Bill:

% non-bill = DIVIDE(B[Non],B[total])

• Add Date column to this table to use Time Pattern for YTD:

Date = date(2016,B[MonthInt],1)

• Ensure making relationship between B table and Dates: 

• Create calculated measure YTD bill & non-bill

YTD - Bill = CALCULATE(sum(B[% bill])/MAX(Activities[MonthInt])  ,filter(ALL(Dates),Dates[Date]<=MAX(Dates[Date])  ))

YTD - Non-Bill = CALCULATE(sum(B[% non-bill])/max(Activities[MonthInt]) ,filter(ALL(Dates),Dates[Date]<=MAX(Dates[Date])  ))

Sample pbix , sample data  ^_^ gud9 ^_^

If this works for you please accept it as solution and also like to give KUDOS.

Best regards
Tri Nguyen

[BetterCallFrank · Accepted solution]

Hey Nicolas,

this apporach should work fine for you:

1) create a Date table without "holes" - prerequisite for the time intelligence to work properly

    easiest way is to create a calculated table with the pattern

Date = CALENDAR( MIN( YourData[Start Date] ), MAX( YourData[Start Date] ) )

2) create a relationship between your data and the new date table

3) create a Measure that calculates the percentage for a given month:

  for example:

Duration Billable Pct = 
DIVIDE(
  CALCULATE(
    SUM( YourData[Duration] ),
    YourData[Category] = "billable"
  ),
  CALCULATE(
    SUM( YourData[Duration] ),
    ALL( YourData[Category] )
  )
)

4) create a Measure that will give you the YTD/Running total of that Percentage, for example:

Duration Billable Pct YTD = TOTALYTD( [Duration Billable Pct], 'Date'[Date] )

Should result in sth like this:

Give it a try and let me know if it helps 🙂

[DivyahsreeM]

Hello,

Am very new to Power BI and i got requirement to calculate YTD. i followed the same steps to calculate YTD.. in my Table i have three columns(two columns are unpivoted columns, like success, error, all respective vaues for the same) Other column is list of months.. i have to calculate YTD of Vaues..  
i have craeted one Date Table with one column which contains date frmo 01/01/2017 to 31/12/2017.
then i created one calculated column which is of the data type date respectively for each month, and i hvae careted the relationship between them,

now i have to create the Measure, 
requirement is just need to add the values of different attribute respective of month and its previous months value..
am bit confused how to calculate the measure

Duration Billable Pct = 
DIVIDE(
  CALCULATE(
    SUM( YourData[Duration] ),
    YourData[Category] = "billable"
  ),
  CALCULATE(
    SUM( YourData[Duration] ),
    ALL( YourData[Category] )
  )
)

[greemlin]

Hi

Thank you for the fast reply.

It works perfectly.

I'll still try to understand the second method suggested to me for my knowledge, I'll also let you know if I succeed 🙂

Again, thank you all,

Nicolas

[tringuyenminh92]

Hi @greemlin,

You could remove not related group in Group by step:

B = SUMMARIZE(Activities,Activities[Month],Activities[MonthInt],"Bill",CALCULATE(sum(Activities[Activity Duration]),Activities[ActivitySimplied]="Others" && [groupcolumn] <> 'filtergrouphere'),"Non",CALCULATE(sum(Activities[Activity Duration]),Activities[ActivitySimplied]<>"Others" && [groupcolumn]='filtergrouphere' ) 

[BetterCallFrank]

Hi Nicolas,

in order to not use ALL you can write

Duration Billable Pct = 
DIVIDE(
  CALCULATE(
    SUM( 'MOCK_DATA csv'[Duration] ),
    'MOCK_DATA csv'[Category] = "billable"
  ),
  CALCULATE(
    SUM( 'MOCK_DATA csv'[Duration] ),
    OR('MOCK_DATA csv'[Category] = "billable", 'MOCK_DATA csv'[Category] = "non billable" )
  )
)

HTH,

Frank

Please mark as solution and send Kudos if you learned a thing or two 🙂