Measure Totals, The Final Word 06-14-2021 16:58 PM

[Greg_Deckler]

With apologies to Theodor Geisel...

Measure totals have you perturbed?
Fear not!
It's Measure Totals, The Final Word,

These measures work with matrices,
They work with tables,
They work with rows and columns and labels.

They work in the daytime,
They work at night,
They work to make sure the totals are right!

Now that you've seen them,
Now that you've heard,
Shout it out loud, it's Measure Totals, The Final Word!

At some point, we've all been frustrated by measure totals. If you want to understand why, read this post.

The technique employed here is fairly simple and should work in all "standard" cases of where you just want the Total line to, well, display the total (sum) of a measure. For more complex scenarios, see my Matrix Measure Total Triple Threat Rock & Roll measure.

Essentially, create a measure, any measure, that performs your desired calculation and returns the correct result at the row level. This becomes your "m_Single" measure. Now, create an "m_Total" measure that performs a SUMMARIZE of your data, exactly as how it is displayed in your table or matrix and use the "m_Single" measure within that SUMMARIZE statement to provide the values for the individually summarized rows. Finally, perform a SUMX across that summarized table. The measures presented in this PBIX file also do a HASONEVALUE check that isn't really necessary in most cases but perhaps lends a little confidence to the user that the SUMX is only employed in the Total line and might also add some performance improvements.

In effect, you are recreating the displayed visualization in memory as a table and then doing a summation across that table for the total line, as you would intuitively expect a total line in a table or matrix to work.

So, if we have a measure like:

m_Single = SUM(Table1[Value])-50

This measure will cause problems in total lines. So, if we are summarizing by [Name], we create this measure:

m_Total 1 = 
VAR __table = SUMMARIZE('Table1',[Name],"__value",[m_Single])
RETURN
IF(HASONEVALUE(Table1[Name]),[m_Single],SUMX(__table,[__value]))

If we are summarizing by [Category1], we create this measure:

m_Total 2 = 
VAR __table = SUMMARIZE('Table1',[Category1],"__value",[m_Single])
RETURN
IF(HASONEVALUE(Table1[Category1]),[m_Single],SUMX(__table,[__value]))

And so on...

We use these "m_Total" measures in our visualizations. The "m_Single" measure is still used, but not directly in the visuals themselves.

Is it annoying to have to create multiple measures and specifically tailor them to each individual visual? Yes, yes it is.

eyJrIjoiODBmNmI4YjItZTMwYi00ZDU4LTg0MWItMzYyZWU3ODk4ZWI4IiwidCI6IjRhMDQyNzQzLTM3M2EtNDNkMi04MjdiLTAwM2Y0YzdiYTFlNSIsImMiOjN9

[canddig]

Hi @Greg_Deckler ,

This is awesome and I think would solve my problem that I am having but I am new to writing dax and the forumla I am trying to configure is already very.... busy. Could you take a look and help guide me toward a solution that would work? 

RVU % = IF(and(sum(Summary[25th % tile PTD])=0,sum(Summary[wRVU PTD])=0),0,IF(sum(Summary[25th % tile PTD])=0,0,IF(sum(Summary[wRVU PTD])<=sum(Summary[25th % tile PTD]),sum(Summary[wRVU PTD])/sum(Summary[25th % tile PTD])*0.25,IF(sum(Summary[wRVU PTD])<=sum(Summary[50th % tile PTD]),((sum(Summary[wRVU PTD])-sum(Summary[50th % tile PTD]))/(sum(Summary[50th % tile PTD])-sum(Summary[25th % tile PTD]))*0.25)+0.25,IF(sum(Summary[wRVU PTD])<=sum(Summary[75th % tile PTD]),((sum(Summary[wRVU PTD])-sum(Summary[50th % tile PTD]))/(sum(Summary[75th % tile PTD])-sum(Summary[50th % tile PTD]))*0.25)+0.5,IF(((sum(Summary[wRVU PTD])-sum(Summary[75th % tile PTD]))/(sum(Summary[90th % tile PTD])-sum(Summary[75th % tile PTD]))*0.15)+0.75>0.99,(((sum(Summary[wRVU PTD])-sum(Summary[75th % tile PTD]))/(sum(Summary[90th % tile PTD])-sum(Summary[75th % tile PTD]))*0.15)+0.75),((sum(Summary[wRVU PTD])-sum(Summary[75th % tile PTD]))/(sum(Summary[90th % tile PTD])-sum(Summary[75th % tile PTD]))*0.15)+0.75))))))

It calculates correctly on the row level but same issue as you stated the totals are very messed up and they are meant to be a percentage. Any guidance, insight or thoughts? 

Thanks so much in advance, 

Candace 

[Power_Chum]

@Greg_Deckler I feel like Salieri reading Mozart's sheet music. I regret that I have but one kudos to give for my... Deckler? This is some powerful dark magic you got here. Thanks for sharing.

[Anonymous]

Hi @Greg_Deckler, 

I have this table: 

In the second column i did the MAX function and I was trying to get the sum of that column

I tried what you said:

m_Total =

VAR __table = SUMMARIZE('Documents',[No-QR7],"__value",[max nb pages])

RETURN

IF(HASONEVALUE(Documents[No-QR7]),[max nb pages],SUMX(__table,[__value]))

but it doesn't give the correct sum, it supposed to be 1034 but it gives 964 (it looks like it stops adding after the 4 9s.)

Can you help me please?

[Greg_Deckler]

@Anonymous My guess is that it is perhaps removing duplicates. For example, I see in your image that you have 13-7965/7966/7967 listed twice so do you want that counted twice? If you use SUMMARIZE, that returns distinct values and then if you use MAX you would only get one 6, not two. Otherwise, you would want to use CONCATENATEX on your __table variable in your return statement to get a list of what all is in that table so that you can see what is going on.

[Jdpatino21]

Hello! @Greg_Deckler  I have a slighty different issue I have the following:
I´m trying to recreate a forecast based on YTD actual values and budget to complete, so I have a couple of tables:

Fact tables:

Presupuesto "Budget"

contabilidad Balance_Prueba "actual"

Ajustes Forecast "forecast Adjusments"

'Ajustes EEFF' "Financial Adjustments"

So, what I´m tryign to do is, that if there is not an "actual" well get the forecast.... on this "m_single" measure

And then I did the "m:total" version

However, when I try them on a table..... it get this result

Nor the single o the total  are summarizing correctly.

can you help me?

[mdarlington]

Hi,

Was just wondering if you have found a solution to this.?  I too have a forecasting measure and cannot get the correct sum.

[tahar1407]

Hi,

I have an issue with summarizing multiple measures. This is my Measure :
Somme des mesures = CALCULATE(

  SUMX(VALUES('Calendar'[Add on]),'Calendar'[Add on])

+ SUMX(VALUES('Calendar'[Indirect Manufacturing]),'Calendar'[Indirect Manufacturing])

+ SUMX(VALUES('Calendar'[Royalties]),'Calendar'[Royalties])

+ SUMX(VALUES('Calendar'[Overhead]),'Calendar'[Overhead])

+ SUMX(VALUES('Calendar'[Bank position]),'Calendar'[Bank position]))

And this is my cumulative Measure :

Cumulative Total Measure = CALCULATE([Total measure 1],

    FILTER(ALLSELECTED('Calendar'),'Calendar'[Week 3] <= MAX('Calendar'[Week 3]) && 'Calendar'[Week 3] >= DATE(2021,07,17))

)

It works properly for some rows but it stopped then :

Hi,

I have an issue with summarizing multiple measures. This is my Measure :
Somme des mesures = CALCULATE(

  SUMX(VALUES('Calendar'[Add on]),'Calendar'[Add on])

+ SUMX(VALUES('Calendar'[Indirect Manufacturing]),'Calendar'[Indirect Manufacturing])

+ SUMX(VALUES('Calendar'[Royalties]),'Calendar'[Royalties])

+ SUMX(VALUES('Calendar'[Overhead]),'Calendar'[Overhead])

+ SUMX(VALUES('Calendar'[Bank position]),'Calendar'[Bank position]))

And this is my cumulative Measure :

Cumulative Total Measure = CALCULATE([Total measure 1],

    FILTER(ALLSELECTED('Calendar'),'Calendar'[Week 3] <= MAX('Calendar'[Week 3]) && 'Calendar'[Week 3] >= DATE(2021,07,17))

)

It works properly for some rows but it stopped then :

I 

 don't understand what's wrong and why my measure stopped 

Could you please help me

Thank you so much

I 

 don't understand what's wrong and why my measure stopped 

Could you please help me

Thank you so much

[Greg_Deckler]

@tahar1407 Super difficult to understand without sample data and expected output. Sorry, having trouble following, can you post sample data as text and expected output?
Not really enough information to go on, please first check if your issue is a common issue listed here: https://community.powerbi.com/t5/Community-Blog/Before-You-Post-Read-This/ba-p/1116882

Also, please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490

The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.

[fcec703]

What is the syntax for this approach in Excel2013, i.e. without declaring a variable?

[Anonymous]

Found this just in time, and saved my laptop from being smashed into pieces. Thank you good sir.

[shivakoriginja]

Hi @Greg_Deckler,
I am not getting 100% on the table when I calculate the utilization %.
I have created a column:

Utilization  = DIVIDE(CALCULATE(SUM(Utilisation_SAC[Total Hours])-SUM(Utilisation_SAC[Hours])),SUM(Utilisation_SAC[Total Hours])).

 please help me out.

[Greg_Deckler]

@shivakoriginja - So that looks like your m_Single measure. You would need an m_Total measure like the following:

m_Total = 
VAR __table = SUMMARIZE('Table',[Venue],"__value",[Utilization])
RETURN
IF(HASONEVALUE(Table[Venue]),[Utilization],SUMX(__table,[__value]))

[shivakoriginja]

hi @Greg_Deckler,
|there is no change in the result. still I am not getting 100% there are no filters applied.

[Anonymous]

@Greg_Deckler You, sir, just saved my day...   THANKS!!!

[Anonymous]

I have fact table with 8 dimensions and average grand total should work based on selected dimension. Please guide me How to correct the grand total based on selections

User validating this data from AAS using excel plugin. We can’t tell what dimension is going to selected for analysis

Measure 1 = SUM(Amount)

Measure 2 = Total days in 3 Months (Need to ignore the missing months based on dimension). 

Avg = Measure 1 / Measure 2

Sample data

Days	Period	Client	Channel	Region	Agent	Product	Amount
31	202001	A1	C1	R1	A1	P1	100
29	202002	A1	C1	R1	A1	P1	200
31	202003	A1	C1	R1	A3	P2	300
31	202001	A2	C1	R1	A3	P4	150
29	202002	A3	C1	R1	A1	P1	250
31	202003	A2	C1	R1	A1	P1	350
31	202003	A2	C2	R2	A2	P1	450
Report Based on Client		Amount	Days	Avg
	C1	1350	91	14.84
	C2	450	31	14.52
		1800	91	19.78	Dax Calculation (Days in 3 Months At grand total)
				29.35	Expected Avg Total
Report Based on Agent		Amount	Days	Avg
	A1	900	91	9.89
	A2	450	62	7.26
	A3	450	31	14.52
		1800	91	19.78	Dax Calculation (Days in 3 Months At grand total)
				31.66	Expected Avg Total

Tried some possible options to fix in AAS. 

• SUMX(VALUES('Accounting Period'[Effective Date]),[ <Measure> (4 Months)])  -- Tried to re-calculate at day level
• SUMX(VALUES('Accounting Period'[Year Month Number]),[ <Measure> (4 Months)])  -- Tried to re-calculate at Month level
• Var Days = [DaysIn4Months]

           Return

          SUMX(Table,(Table[Column] / Days) -- Tried calculate at each row level .

• If we use AVERAGEX function it is giving wrong average due to it is considering the no of days Transaction received (per month 21 / 22 days only – as we are not receiving transactions on weekends). User want to consider full days in month.

To correct the grand totals we need to use below syntax. But this syntax we can't achieve while using Pivot tables.

• IF(HASONEVALUE([Slicer]), <Measure> , SUMX(VALUES[Slicer]), <Measure>) 

[Anonymous]

Hi All,

Any ideas on above issue. AAS should calculate average grand total based on selected slicer in excel pivot table. I am happy to write multiple if conditions if we have solution for this. 

How to find what all slicers selected to apply if condition.

SUMX(

SUMMARIZE(<Fact Table>, [Fact Table][Column1], [Fact Table][Column2], [Fact Table][Column3], "Measure Name", <Measure>),

<Measure Name>)

Will this works for all dimensions. I hope with this we might hit with performance issue.

Please suggest some taughts to find solution for this

[Anonymous]

Hi,
I have a calculated field Goal which is not giving the sum correct.

How do I make it working?

Goal =

/* convert(max(rev_tasks[Goal_Months]),INTEGER)*/

var vgoal=max(rev_tasks[Goal_Months])

Return

SWITCH(TRUE(),

vgoal=BLANK(), BLANK(),

vgoal="1",(1+MAX(rev_tasks[Goal_Perc]))*SUM(C_AR[Revenue]),

vgoal="2", CALCULATE(SUM(C_AR[Revenue]),DATESINPERIOD('dates'[Date],MAX('dates'[Date]),-2,MONTH))*(1+MAX(rev_tasks[Goal_Perc])),

vgoal="3", CALCULATE(SUM(C_AR[Revenue]),DATESINPERIOD('dates'[Date],MAX('dates'[Date]),-3,MONTH))*(1+MAX(rev_tasks[Goal_Perc])),

vgoal="AR",[AR]

)

[Anonymous]

Its 2020 - this had stumped me for 3 hours and yet here we are. Thank you sir, thank you so very much!

[Greg_Deckler]

@Anonymous Don't feel bad man, this one comes up a LOT!! It is super unintuitive to people just learning DAX but is a great example to help expand your understanding of how important context is to DAX!

[rrjr007]

Below is a screen shot from my excel file that I have uploaded into Power BI.

I want to show that in Cook County (for my current period and for the fuel type water) that Brand 1 has sold a total of 8, which is equal to 13% share

In Power BI if I filter on Cook I get what I need.

When I add another County, the numbers get messed up.

Where am I going wrong.  I’ve attached the pbix file.  I am not a Dax guy, I am trying to learn.  Thanks.