If I try adding the following Measure into my DimDate table:
Past6Months =
IF(
FIRSTDATE( 'Dates'[FullDate] ) >= DATEADD( NOW(), -7, MONTH ),
TRUE(),
FALSE()
)
I get this error:
The first argument to 'DATEADD' must specify a column.
What also works: do what DAX is asking you to do. First put TODAY in a column and than refer to that column.
TodayColumn = TODAY()
Past6Months =
IF(
FIRSTDATE( 'Dates'[FullDate] ) >= DATEADD( 'MyTable'[TodayColumn], -7, MONTH ),
TRUE(),
FALSE()
)
Try this
Past6Months =
IF (
FIRSTDATE ( v_Dim_Tid[Dato] )
>= DATE ( YEAR ( NOW () ), MONTH ( NOW () ) - 7, DAY ( NOW () ) ),
TRUE,
FALSE
)
Related
I have defined the following table :
The following measure does not work as expected :
VAR lt_MAX_DATE =
FILTER(
ALL( dim_CALENDAR[DATE] ) ,
dim_CALENDAR[DATE] = MAX( dim_CALENDAR[DATE] )
)
VAR lv_MAX_YEAR_DAY =
CALCULATE(
VALUES( dim_CALENDAR[YEAR_DAY] ) ,
ALL( dim_CALENDAR ) ,
lt_MAX_DATE
)
RETURN
lv_MAX_YEAR_DAY
as I get :
In my mind, I should get 10 for both rows of the Max Date ALL column, but this is not the case.
My question is : why does a dim_CALENDAR[YEAR] context apply even though I have used the ALL() function?
Thank you for your help.
If you want the DAX measure to return the max Year_day of maxYear by ignoring no matter what year is currently visible in the filter context, you can achieve it in many ways. Two of them are as below.
Measure1 =
VAR mxYr =
CALCULATE ( MAX ( dim_Calendar[Year] ), ALL ( dim_Calendar[Year] ) )
RETURN
CALCULATE (
MAX ( dim_Calendar[Year_day] ),
dim_Calendar[Year]=mxYr
)
Measure2 =
VAR mxYr =
CALCULATE ( MAX ( dim_Calendar[Year] ), ALL ( dim_Calendar[Year] ) )
RETURN
CALCULATE (
MAX ( dim_Calendar[Year_day] ),
TREATAS ( { mxYr }, dim_Calendar[Year] )
)
This expression
VAR lt_MAX_DATE =
FILTER(
ALL( dim_CALENDAR[DATE] ) ,
dim_CALENDAR[DATE] = MAX( dim_CALENDAR[DATE] )
)
is the same as
VAR YEARinMatrixRow = SELECTEDVALUE[dim_CALENDAR[YEAR]]
VAR lt_MAX_DATE =
CALCULATETABLE (
FILTER(
ALL( dim_CALENDAR[DATE] ) ,
dim_CALENDAR[DATE] = MAX( dim_CALENDAR[DATE] )
)
,dim_CALENDAR[YEAR] = YEARinMatrixRow
)
So, the result of the expression is the last date of the selected (in Row) year. You get a Row filtering.
The second expression filters the table by
ALL( dim_CALENDAR )
,lt_MAX_DATE
According to DAX priorities, first works ALL(dim_CALENDAR) , then you apply filter - lt_MAX_DATE
So, you get the dim_CALENDAR table, simply filtered by the last day of the year in a matrix row where you get a single value with the VALUES( dim_CALENDAR[YEAR_DAY] ).
You overite ALL( dim_CALENDAR ) by the - lt_MAX_DATE
Normaly, you will get an error with lv_MAX_YEAR_DAY syntax. Calculate returns scalar value, while VALUES() function returns a table even with 1 cell.
As #Mik says, you are restricting the context with
dim_CALENDAR[DATE] = MAX( dim_CALENDAR[DATE] )
I'm working on a ranking/scoring system and I'm missing the PERCENTRANK.INC function in powerBI. Instead I have worked out below formula which is the closest I can get.
Score =
DIVIDE (
RANKX (
FILTER ( 'Table', NOT ( ISBLANK ( [Sold amounts] ) ) ),
[Sold amounts],
,
ASC
) - 1,
COUNTROWS ( FILTER ( 'Table', NOT ( ISBLANK ( [Sold amounts] ) ) ) ) - 1
)
I really want to have the formula to take the type of "Fruit" into account in my scoring/ranking.
In short each fruit should be scored separately, with a range per fruit sold.
Could this somehow be done with a variable (VAR)?
Example of data:
This should work.
Score =
VAR fruit = 'Table'[Fruit]
VAR filteredTable = FILTER ( 'Table', NOT ( ISBLANK ( [Sold amount] ) ) && 'Table'[Fruit] = fruit)
RETURN
DIVIDE (
RANKX (
filteredTable,
[Sold amount],
,
ASC
) - 1,
COUNTROWS ( filteredTable ) - 1
)
I want to have a column in power bi showing the growth rate of sales. I have a table like
year
count
1395
123
1396
232
1397
23
1398
908
1399
678
1400
34
the growth rate is (this year - previous year)/previous year
could you please guide me how I can do this?
When I use the growth the data is like below
You can add a calculated column like this:
growth =
VAR _currentcount = 'Table'[count]
VAR _currentyear = 'Table'[year]
VAR _previouscount =
CALCULATE (
SELECTEDVALUE ( 'Table'[count] ) ,
ALL ( 'Table' ) ,
'Table'[year] = _currentyear - 1
)
RETURN
IF (
NOT ISBLANK ( _previouscount ) ,
DIVIDE ( _currentcount , _previouscount ) - 1
)
or a measure like this, to be used with your year dimension:
growth_measure =
VAR _currentcount = SELECTEDVALUE ( 'Table'[count] )
VAR _currentyear = SELECTEDVALUE ( 'Table'[year] )
VAR _previouscount =
CALCULATE (
SELECTEDVALUE ( 'Table'[count] ) ,
ALL ( 'Table' ) ,
'Table'[year] = _currentyear - 1
)
RETURN
IF (
NOT ISBLANK ( _previouscount ) ,
DIVIDE ( _currentcount , _previouscount ) - 1
)
Giving this result:
All depending on your needs.
I would like RankX to rank products for Var2 and only consider/see products who have a value for Var1 (so only A and B and not C).
Here is an example datamodel including the resulting pivottable
And here are the measures I use:
SUM Value = SUM ( Data[Value] )
Var1 Check = CALCULATE ( COUNTROWS ( Data ), Variable[Variable] = "Var1" )
RankX = RANKX ( ALL ( 'Product' ), [SUM Value] )
RankX Filter = IF ( ISBLANK ( [Var1 Check] ), BLANK (), [RankX] )
The idea is that my filtered RankX function (RankX Filter) shows 2 instead of 3 for Product B as only A and B should be considered.
Using DAX Studio I managed to filter my product table accordingly but I don't know whether this the right approach nor how to pass that filtered table to a RankX function.
FILTER (
ADDCOLUMNS (
'Product',
"Var1Check", CALCULATE ( COUNTROWS ( Data ), Variable[Variable] = "Var1" )
),
[Var1Check] = 1
)
You should just be able to put the filtered table as the first argument in your RANKX function. Something along these lines:
RANKX ( FILTER ( 'Product', Variable[Variable] = "Var1" ), [SUM Value] )
i have a logic within a stored procedure that I'd like to translate into DAX.
Since i am rather new and I am probably searching with the wrong keywords, i cannot figure out how to transform this windowing function into propper dax.
select FIRST_VALUE(v) OVER(PARTITION BY partid ORDER BY somedate DESC, somenumber DESC) as myval
FROM table1
The query takes the first value of a group flagged wit hthe same partid (respecting the descending order of first somedate and then somenumber).
Can you please hint me into the right direction?
The following would give you one value based on the highest somedate and somenumber. If you bring in the someid as a slicer then you should get what you're looking for.
=
CALCULATE (
MAX ( 'Table'[Column] ),
FILTER (
'Table',
[somedate] = CALCULATE ( MAX ( [somedate] ), ALL ( 'Table' ) )
),
FILTER (
'Table',
[somedate] = CALCULATE ( MAX ( [somenumber] ), ALL ( 'Table' ) )
)
)