I am trying to calculate the TotalFTE, but I can't figure it out. I am fairly new to DAX and trying to make the best of it with some studycases.
The table contains a lot of columns, but these are the columns that are needed for the measure.
The measure should sum the highest FTE in a year per ID and ignore the blanks in ID.
I've build a measure that gives an error when I try to visulise the result in a card. My measure: TotalFTE = CALCULATE(MAX(Table[FTE]), FILTER(Table, DISTINCT(Table[ID])))
Any feedback?
Moving forward, please post data as tables in stack and refrain from provide the data as image.
Measure =
SUMX (
GROUPBY (
'Fact',
'Fact'[year],
'Fact'[ID],
"#Max", MAXX ( CURRENTGROUP (), 'Fact'[FTE] )
),
[#Max]
)
Related
I have a measure called PERC that basically spits out a percentage. I am now creating a measure that I can place in the "Y-Axis Start" function for a trend line. I need this new measure to calculate the MIN of PERC grouped by [MonthYear] (a column in my data). How do I perform this? I have tried using the GROUPBY function but keep getting errors no matter how much I play with MIN, MINA and MINX...
My brain wants to do this:
CALCULATE(
MIN([PERC], "*Grouped By*"('Data'[MonthYear])
)
Thank you in advance. I'll be happy to answer any follow up questions for more context.
Try
MinPERCbyMonthYear :=
VAR MyTable =
SUMMARIZE ( Table1, Table1[MonthYear], "PERCbyMonthYear", [PERC] )
RETURN
MINX ( MyTable, [PERCbyMonthYear] )
replacing Table1 as required.
I am looking to create column D of the table below in power query or DAX. You can see the excel formula in the cell. I need to add columns from the current row and add a previously calculated row above. The column is self-referencing. I am stuck and do not know how to proceed. Any help would be appreciated.
You cannot recursively self-reference a column in DAX. See here for more detail on that.
That said, just like the examples linked in that post (also below), you don't really need recursion for your purpose but rather a cumulative total of Production - Demand plus an initial inventory amount.
That is, something like this:
Projected Inv. =
CALCULATE (
SUM ( Table1[Production] ) - SUM ( Table1[Demand] ),
FILTER ( Table1[Date], Table1[Date] <= MAX ( Table1[Date] ) )
) + 174408
How to perform sum of previous cells of same column in PowerBI
DAX - formula referencing itself
I am new in Power bi. I have a table where I have agents details. I have their scores as well. I have date wise data into table where the following columns are available -
I have created created measure for Average of Score where Metric is UES AGGREGATE -
I have to get the ranking of the advocate(s) for the Average Score (UES AGG). I have tried this measure for Ranking calculation -
Rank_UES = RANKX('RankSummary',[RKS_UESAGG])
I am getting wrong ranking. Please help me , how to solve the issue.
Thanking You.
Use ALL function with RANKX.
Rank_UES =
RANKX (
ALL ( 'RankSummary'[AgentfullName] ),
[RKS_UESAGG]
)
I do not know if your [RKS_UESAGG] get you what you want. Suppose you want average sales you make something like this:
Rank_UES =
RANKX (
ALL ( 'RankSummary'[AgentfullName] ),
AVERAGE ( 'RankSummary'[Amount] )
)
https://learn.microsoft.com/en-us/dax/rankx-function-dax
I want to calculate the RequiredMeasure column in DAX as shown in the below figure.
If I remove the Product SKU then the value should not change it should show the total values of RequiredMeasure as 200 only as shown in the below figure.
Please find the below screenshot for clear understanding.
SUMX is the function you need, to iterate over all rows of the table, and calculate an expression:
Required Measure =
SUMX (
Table1,
Table1[Net Revenue] * Table1[Total Measure]
)
Worked example file: https://pwrbi.com/so_55255241/
I've been struggling to find a way to achieve the result of a matrix visualization in Power BI, in a line and clustered column chart.
I have tried using ALLSELECTED, ALL, ALLEXCEPT in order to ignore one filter but no matter how I try it, I'm not reaching my end goal.
CarCountPerCategory =
CALCULATE(
DISTINCTCOUNT(Table[CarID]),
ALLSELECTED(Table[Filter])
)
This still breaks down the measure to the Filter level instead of ignoring it. I am looking for something that will give me the total distinct count regardless of the Filter column. E.g. TimesReshopped 1 - 190 on all 3 columns, TimesReshopped 2 - 182 on all 3 columns of the Filter Column series. I need this as a sidestep in order to divide the distinct car count to the total distinct car count per times reshopped in order to reach the percentage that I am looking for. (the one in the matrix)
Can someone help me with some advice? Thank you.
Try this:
[Total Category Count]:=
SUMX ( SUMMARIZE ( Table, Table[TimesReshopped] ), [Count of CarID] )
I got to the bottom of this by using ALLEXCEPT and providing all the filter that I was using:
CarCountPerCategory =
CALCULATE(
DISTINCTCOUNT(Table[CarID]),
ALLEXCEPT(Table,Table[Year],Table[Month],Table[LocationName],Table[CustCode],Table[TimeReshoped])
)