I would like to calculate column 'E' in DAX
I wanted to count distinct 'B'
based on 'C' and filter on 'D' = instock.
I later want to sum column E -- what is the best way to do this to exclude the duplications
Thanks in advance
You mean you want a Calculated Column?
=
VAR ThisProductCode = 'Table'[product code]
RETURN
CALCULATE(
DISTINCTCOUNT( 'Table'[size] ),
FILTER(
'Table',
'Table'[product code] = ThisProductCode
&& 'Table'[stock] = "instock"
)
)
Not sure what you mean by your second request, though.
Your question is split into 2 parts: Go step by step then:
First Step Code:
Result =
CALCULATE (
DISTINCTCOUNT ( 'Product'[size] ),
ALLEXCEPT ( 'Product', 'Product'[product code] ),
'Product'[stock] = "instock"
)
Second Step:
Result =
VAR TblSummary =
ADDCOLUMNS (
VALUES ( 'Product'[product code] ),
"DISCTotal",
CALCULATE (
DISTINCTCOUNT ( 'Product'[size] ),
ALLEXCEPT ( 'Product', 'Product'[product code] ),
'Product'[stock] = "instock"
)
)
RETURN
SUMX ( TblSummary, [DISCTotal] )
Related
I'd like to know how to write this line bellow in DAX. I'm a beginner and I'm having a lot of problems trying to write this code in Dax to return the value I need.
(select
top 1 Payor.CompanyName
from Payor, PatientPayor
where PatientPayor.PatientSer = pat.PatientSer
and Payor.PayorSer = PatientPayor.PayorSer) as conv,
This is what I tried to do so far.
Convenio =
TOPN ( 1, VALUES ( Payor[CompanyName] ), PatientPayor[PatientSer] )
= FILTER ( Patient, PatientPayor[PatientSer] = Patient[PatientSer] )
I did solve it with the code bellow:
formula =
VAR currpayorSer =
SELECTEDVALUE ( PatientPayor[PayorSer] )
VAR currPatientSer =
SELECTEDVALUE ( PatientPayor[PatientSer] )
RETURN
CALCULATE (
MIN ( Payor[CompanyName] ),
FILTER ( ALLSELECTED ( Payor ), Payor[PayorSer] = currpayorSer ),
FILTER ( ALLSELECTED ( Patient ), Patient[PatientSer] = currPatientSer )
)
I have a table my_data with the following columns: CATEGORY, SUPPLIER and AMOUNT. I have created measures to calculate the total amount:
Total_Amount := SUM(my_data[AMOUNT])
and to do an ABC classification, I created a ranking:
Ranking:=IF (
ISBLANK ( [Total_Amount] ),
BLANK (),
RANKX (
FILTER (
ALL ( my_data[CATEGORY], my_data[SUPPLIER] ),
my_data[CATEGORY] = MAX ( my_data[CATEGORY] )
),
CALCULATE ( [Total_Amount] )
)
)
a Running Total:
Running_Total:=VAR current_rank = [Ranking]
RETURN
SUMX (
FILTER (
ALL ( my_data[SUPPLIER] ),
[Ranking] <= current_rank
),
[Total_Amount]
)
a Running Total %:
Running_Total(%):=DIVIDE (
[Running_Total],
SUMX ( ALL ( my_data[SUPPLIER] ), [Total_Amount] ),
BLANK ()
)
and the ABC classifier:
ABC_class:=IF (
ISBLANK ( [Total_Amount] ),
BLANK (),
SWITCH (
TRUE (),
[Running_Total(%)] <= [Class_A], "A",
[Running_Total(%)] <= [Class_B], "B",
"C"
)
)
Now, my problem. I have several slicers. Once of them is to choose A, B and/or C from the ABC classification. Note, that in my data there is no column with A, B or C data. The classification is only a measure. So I used a trick to be able to connect the slicer to my Pivot Table and that works fine. PROBLEM: I do not manage to get the right subtotals and grand totals for the following measure:
measure:=VAR Selected_Class =
ALLSELECTED ( ABC_table[Class] )
VAR Supplier_Class =
CALCULATE (
[ABC_class],
ALLEXCEPT (
my_data,
my_data[CATEGORY],
my_data[SUPPLIER],
Period_Table[YEAR]
)
)
RETURN
IF (
HASONEFILTER ( my_data[SUPPLIER] ),
IF (
CONTAINSROW ( Selected_Class, Supplier_Class ),
[Total_Amount],
BLANK ()
),
SUMX (
FILTER (
SUMMARIZECOLUMNS (
StockMvts[SUPPLIER],
"total", [Total_Purchased(EUR)],
"class", [ABC_TotPurchased_byCat&Sup]
),
CONTAINSROW(Selected_Class, [class])
),
[total]
)
)
This last measure doesn't work. It gives an error. The problem is in the SUMX for the subtotals and grand totals. How do I make it to sum only the values of [Total_Amount] for the [SUPPLIER] where the [ABC_class] measure results in one of the values selected in the ABC slicer?
Note, I'm using Power Pivot on Excel.
Thank you!
I am fairly new with Power BI and DAX and I'm stuck. I'll try to explain the current situation and what I want to become my output. I've tried a lot of meaures with distinctcount, calculate, you name it, I did it. But can't find the right solution.
We've got 4 columns: Date, Employee_ID, Sick, %FTE. Every row records if an employee was sick on that date. Blank is not sick and Y = sick.
I would like to create a measure where it counts the %FTE just once when an employee is sick in a particular week, month or year.
So the output of January should be 2,13 (0,8 + 0,33 + 1) and in February 1,8 (0,8 + 1).
enter image description here
You would need two additional columns in the dataset as following
Once you have that, you can use the following measures to reach the goal
Measure8 =
VAR _1 =
IF (
MAX ( 'fact'[sick] ) <> BLANK (),
RANKX (
FILTER (
ALL ( 'fact' ),
'fact'[emp_id] = MAX ( 'fact'[emp_id] )
&& 'fact'[Year] = MAX ( 'fact'[Year] )
&& 'fact'[Month] = MAX ( 'fact'[Month] )
&& 'fact'[sick] = "Y"
),
CALCULATE ( MAX ( 'fact'[date] ) ),
,
ASC,
DENSE
)
)
VAR _2 =
IF ( _1 = 1, IF ( MAX ( 'fact'[sick] ) = "y", MAX ( 'fact'[%FTE] ) ) )
RETURN
_2
Measure9 =
IF (
HASONEVALUE ( 'date'[date] ),
[Measure8],
VAR _1 =
MAXX (
GROUPBY (
ADDCOLUMNS ( 'fact', "val", [Measure8] ),
[Year],
[Month],
"total", SUMX ( CURRENTGROUP (), [val] )
),
[total]
)
VAR _2 =
MAXX (
GROUPBY (
ADDCOLUMNS ( 'fact', "val", [Measure8] ),
[Year],
"total", SUMX ( CURRENTGROUP (), [val] )
),
[total]
)
VAR _3 =
IF ( ISINSCOPE ( 'fact'[Year] ), _2, _1 )
RETURN
_3
)
Also, for any future posts please provide the sample data and expected output as markdown tables How To
I need to manipulate the Sales measure to exclude any transactions which have been reversed.
Sales measure is as follows right now:
Sales ($) =
IF (
HASONEVALUE ( 'Currency'[Detail] ),
SUMX (
'Sales',
'Sales'[Value_Sold]
* CALCULATE ( VALUES ( 'Exchange Rates'[ExchangeRate] ) )
)
)
What steps and where would I add to extract Reversed Transactions from this measure? I tried below as that's what you'd do in EXCEL but that is not working - when pulling results, it can't display anything on the visual
Sales - Reversals ($) =
IF (
HASONEVALUE ( 'Currency'[Detail] ),
SUMX (
'Sales',
'Sales'[Value_Sold]
* CALCULATE ( VALUES ( 'Exchange Rates'[ExchangeRate] ) ) - SUMX ('Sales', 'Sales [Trans_Type] = "Reversed")
)
)
)
If what you want is to exclude the reversed transactions from your first code, maybe this could help:
Sales ($) =
IF (
HASONEVALUE ( 'Currency'[Detail] ),
CALCULATE(
SUMX (
'Sales',
'Sales'[Value_Sold]
* CALCULATE (
VALUES ( 'Exchange Rates'[ExchangeRate] )
)
),
'Sales'[Trans_Type] <> "Reversed"
)
)
It's basically adding the SUMX into a CALCULATE function which let's you make the some applied to filters (in this case not reversed transactions).
I am trying to create a measure that will show booked revenue over time, grouped by a few categories. I also want to show as 0 within line charts when the data is BLANK(), so I have it in an IF statement. Everything works just fine except for whatever reason I cannot get it to only show dates prior to today.
Here is the current Measure:
M_BookedRevenue =
VAR CurrentAccountingYear =
CALCULATE ( MIN ( 'Date'[AccountingYear] ), 'Date'[Date] = TODAY () )
VAR CurrentDate =
CALCULATE ( MIN ( 'Date'[SortDate] ), 'Date'[Date] = TODAY() )
RETURN
CALCULATE (
IF (
ISBLANK (
SUMX (
FILTER (
GROUPBY (
RevenueChannel,
RevenueChannel[ChannelBucket],
RevenueChannel[Channel],
'Date'[Date],
'Date'[SortDate],
'Date'[AccountingWeek],
'Date'[WeekNumber],
'Date'[AccountingMonthEnglishAbbrYear],
'Date'[AccountingMonth],
'Date'[AccountingYear],
"Revenue", SUMX ( CURRENTGROUP (), RevenueChannel[TransactionRevenue] )
),
'Date'[AccountingYear] >= CurrentAccountingYear
&& 'Date'[SortDate] < CurrentDate
),
[Revenue]
)
),
0,
SUMX (
FILTER (
GROUPBY (
RevenueChannel,
RevenueChannel[ChannelBucket],
RevenueChannel[Channel],
'Date'[Date],
'Date'[SortDate],
'Date'[AccountingWeek],
'Date'[WeekNumber],
'Date'[AccountingMonthEnglishAbbrYear],
'Date'[AccountingMonth],
'Date'[AccountingYear],
"Revenue", SUMX ( CURRENTGROUP (), RevenueChannel[TransactionRevenue] )
),
'Date'[AccountingYear] >= CurrentAccountingYear
&& 'Date'[SortDate] < CurrentDate
),
[Revenue]
)
)
)