I have a query and the following results, executed from DAX Studio:
What I would like to do now is to expand the query so that I can retrieve maximum Total Sales from the table that SUMMARIZECOLUMNS produces. For example, based on the rows displayed in the results, I'd like a way to return 10234.35. Is there a way to do this?
Wrap the whole SUMMARIZECOLUMNS part in a MAXX.
MAXX(
SUMMARIZECOLUMNS([...]),
[Total Sales]
)
The MAXX(<table>,<expression>) function iterates through each row of the <table> from its first argument taking the maximum value of the <expression> in the second argument.
As #greggyb points out, a more efficient implementation would be
CALCULATE (
MAXX ( VALUES ( Customers[Customer Key] ), [Sales Amount] ),
FILTER ( Products, Products[Product Name] = "Fabrikam Laptop12v M2080 Silver" ),
FILTER ( 'Calendar', 'Calendar'[Calendary Year] = 2008 )
)
since this doesn't require creating the whole summary table in memory.
Related
I'm trying to understand this tutorial for creating a moving average in DAX. This code snippet is confusing me:
VAR Result =
CALCULATE (
AVERAGEX (
VALUES ( 'Date'[Date] ),
[Sales Amount]
),
Period
)
My understanding is that AVERAGEX takes a table argument and an expression argument, and returns the average values of expression for each row in table. However, in the above example, the table argument is just a set of distinct dates (ie. the result of VALUES('Date'[Date])).
How can I evaluate the [Sales Amount] expression column on a table that only contains dates?
Overview of the table in question
I need to get a distinct count of the column Fkey_Dim_Resource_ID that has holiday to spare.
My Table consists of five columns:
Resource_Allocated_Holiday_ID (Primary Key)
Fkey_Dim_Resource_ID
Fkey_Dim_HolidayYear_ID
Fkey_Dim_Company_ID
Allocated_Holiday_Hrs_Qty
Measure:
Allocated Holiday (Hrs):= Var X= SUM([Allocated_Holiday_Hrs_Qty])
Return if(X =0; BLANK();X)
This measure below then uses the above, and the holiday spent from another metric:
Remaining Holiday (Hrs):= Var X = 'HolidayEntry Numbers'[Allocated Holiday (Hrs)] - [#Holiday Hours]
Return if(X=0;BLANK();X)
And now, I would like a metric that gives me the distinct count of Fkey_Dim_ResourceID where 'Remaining Holiday (hrs)' >0.
I have tried a lot of different stuff, but cannot seem to get it right.
test:=
ADDCOLUMNS(
SUMMARIZE('HolidayEntry Numbers'
;'HolidayEntry Numbers'[Fkey_Dim_Company_ID]
;'HolidayEntry Numbers'[Fkey_Dim_Resource_ID];
'HolidayEntry Numbers'[Fkey_Dim_HolidayYear_Id]
)
;"RemainingHoliday"; sum( [Remaining Holiday (Hrs)])
)
I would like for a distinct count of Fkey_Dim_Resource_ID that has holiday left, that takes into account the context.
Thanks in advance.
With this measure:
test4 virker når ressourcen er med:=COUNTROWS (
FILTER (
ADDCOLUMNS (
VALUES ( 'HolidayEntry
Numbers'[Fkey_Dim_Resource_ID]);
"remholiday"; CALCULATE ( [Remaining Holiday
(Hrs)] )
);
[remholiday] > 0
)
)
I get the following result:
Result of the advice1
So the metric works, when in the context of a Resource, but not when in the context of a Fkey_dim_holiday_Year_ID.
Thanks ion advance.
Resources with remaining holiday hours =
COUNTROWS ( // counts rows in a table
FILTER ( // returns a table, filtering based on predicate
// below is unique values of the column in context, as a
// one-column table
VALUES ( 'HolidayEntry Numbers'[Fkey_Dim_Resource_ID] ),
[Remaining Holiday (hrs)] > 0 // keep rows meeting this criterion
)
)
As a matter of style, you should fully qualify column names as 'Table'[Column], and never fully qualify measure references, i.e. don't prefix with table name. This conforms with all style guides I know, and helps to ensure your code is unambiguous (since both columns and measures are referenced in square brackets).
What if we need to aggregate (Sum) of a value group by two attributes in DAX. I wrote the following measure with Summarize function but it is very slow.
Reorder :=
SUMX (
SUMMARIZE (
TableA,
TableA[ProdID],
TableA[CustID],
"ReordersCount",
VAR VarInvoiceCount =
SUM ( TableA[InvoiceCount] )
RETURN
IF ( VarInvoiceCount > 0, VarInvoiceCount - 1, 0 )
),
[ReordersCount]
)
I also looked for SummarizeColumns but its not working in the report when I am applying other attributes slicers. May be I am missing something?
Looking for optimized solution. Many thanks in advance.
Consider the following approach:
First, create a measure for total number of invoices:
Total Invoice Count = SUM(TableA[InvoiceCount])
Second, create a measure to count a number of first-time invoices, which is simply a number of unique product-customer combinations in your table:
First Invoice Count =
COUNTROWS ( SUMMARIZE ( TableA, TableA[CustID], TableA[ProdID] ) )
Finally, the desired result is simply the difference of these two measures:
Reorder Count = [Total Invoice Count] - [First Invoice Count]
The formula will respond properly to all slicers and filters, and should be very fast because there are no nested iteration loops such as SUMX(SUMMARIZE()), no context transitions and no call-backs inside the loops caused by using IF statements (that's a bit of an advanced topic).
Of course, you can put everything in one measure using variables:
Reorder Count =
VAR Total_Invoice_Count = SUM(TableA[InvoiceCount])
VAR First_Invoice_Count = COUNTROWS ( SUMMARIZE ( TableA, TableA[CustID], TableA[ProdID] ) )
VAR Reorder_Count = Total_Invoice_Count - First_Invoice_Count
RETURN Reorder_Count
although personally I prefer to break measures down because individual measures are easier to understand and debug, and they might have their own use.
The above approach is very efficient, but it assumes that TableA contains only valid orders. If it also has cancellations, returns, etc., that might have zero or negative Invoice counts, then you will have to use a less efficient approach, such as:
Reorder Count =
SUMX (
SUMMARIZE ( TableA, TableA[CustID], TableA[ProdID] ),
VAR Reorder_Count = CALCULATE ( SUM ( TableA[Invoice] ) ) - 1
RETURN
IF ( Reorder_Count > 0, Reorder_Count, 0 )
)
or:
Reorder Count =
SUMX (
SUMMARIZE ( TableA, TableA[CustID], TableA[ProdID] ),
MAX(CALCULATE ( SUM ( TableA[Invoice] ) ) - 1, 0) )
Nevertheless, they should be still faster than your original formula.
I have a fact table with settlement_date, product_id, service_id, location_id, and ticket_id and srv_adjusted_earning columns.
I have determined the DAX query to generate a calculated column that sums the srv_adjusted_earning column over the date range: settlement date and settlement date - 27 days (i.e. a 4 week window) as:
=CALCULATE(
SUM(factService[SRV_ADJUSTED_EARNING]),
DATESBETWEEN
(
factService[SETTLEMENT_DATE],
DATEADD(factService[SETTLEMENT_DATE], -27, DAY),
factService[SETTLEMENT_DATE]
),
FILTER(factService, factService[PRO_ID] = EARLIER(factService[PRO_ID])),
FILTER(factService, factService[SER_ID] = EARLIER(factService[SER_ID])),
FILTER(factService, factService[LOC_ID_SELLING] =
EARLIER(factService[LOC_ID_SELLING])),
FILTER(factService, factService[TIS_ID] = EARLIER(factService[TIS_ID]))
)
I am trying to convert this DAX calculated column to a measure and I tried the following:
blob:=CALCULATE
(
SUM(factService[SRV_ADJUSTED_EARNING]),
DATESBETWEEN
(
factService[SETTLEMENT_DATE],
DATEADD(factService[SETTLEMENT_DATE], -27, DAY),
factService[SETTLEMENT_DATE]
),
ALLEXCEPT(factService, factService[PRO_ID]),
ALLEXCEPT(factService, factService[SER_ID]),
ALLEXCEPT(factService, factService[LOC_ID_SELLING]),
ALLEXCEPT(factService, factService[TIS_ID])
)
But I get:
Error: Calculation error in measure 'factService'[blob]: A single value for column 'SETTLEMENT_DATE' in table 'factService' cannot be determined. This can happen when a measure formula refers to a column that contains many values without specifying an aggregation such as min, max, count, or sum to get a single result.
Anybody know how I fix this?
As the error mentions, the issue is with factService[SETTLEMENT_DATE]. In the measure, there is no row context so that it knows which date you are talking about, so you need to specify it somehow. I'd suggest using a variable along these lines:
blob :=
VAR SettleDate = MAX ( factService[SETTLEMENT_DATE] )
RETURN
CALCULATE (
SUM ( factService[SRV_ADJUSTED_EARNING] ),
DATESBETWEEN (
factService[SETTLEMENT_DATE],
SettleDate - 27,
SettleDate
),
ALLEXCEPT (
factService,
factService[PRO_ID],
factService[SER_ID],
factService[LOC_ID_SELLING],
factService[TIS_ID]
)
)
Here the variable picks the maximal settlement date in the current filter context. If that's not exactly what you need, adjust the definition accordingly.
In table "Paypal", I have:
And in table "Câmbios":
And now, I'm adding a calculated column to "Paypal" table with the formula:
Câmbio = LOOKUPVALUE('Câmbios'[Câmbio];'Câmbios'[Mês];MONTH('Paypal'[Date]))
Which is returning the error:
A table of multiple values was supplied where a single value was expected.
This doesn't make sense to me.
Can anyone help?
Thanks
The problem is Câmbios table contains repeated values for at least one month and the LOOKUPVALUE function doesn't know which value use to retrieve the specified column.
You can use instead:
Cambio =
CALCULATE (
MAX ( Cambio[Cambio] ),
FILTER ( Cambio, [Mes] = MONTH ( EARLIER ( Paypal[Date] ) ) )
)
Or delete the repeated values from Cambios[Mes].