Please I really need your help on this, Hello,
I need to create a measure using DAX that has the sum of the qty, I should take the max date of the table that is between two other dates (Date Slicer) based on the column name, For example, if the selected date of the slicer is between 24/6/2020 and 20/3/2021, I need to calculate the total (sum of the qty of each name 'column' where it's date is the max date that is less then the max selected date
So as you can see in the figure the total should be 50+129+3(For that selected date)
Quantity =
VAR _maxdate =
MAX ( 'Date Table'[Date] )
RETURN
SUM ( CALCULATE([Qty], 'Fact Table'[Date] <= _maxdate )
The CALCULATE function in DAX is very powerful. Essentially, you can pass filter criteria into it to create aggregations. In this case, it sounds like you want to sum [Qty] when the date is < the max date.
Since your table visuals aren't automatically updating, you also may not be implementing a date table correctly.
Related
This Article by Alberto Ferrari shows how to compute the running total over a dimension:
Sales RT :=
VAR MaxDate = MAX ( 'Date'[Date] ) -- Saves the last visible date
RETURN
CALCULATE (
[Sales Amount], -- Computes sales amount
'Date'[Date] <= MaxDate, -- Where date is before the last visible date
ALL ( Date ) -- Removes any other filters from Date
)
In this video
he says: "Maxdate contains the last date that is visible in the context"
Where did the context come from when we are using ALL(Date) which cancels all filters and returns the entire Date table?
Shouldn't Max(Date) be always equal to the Maximum date of the entire Date table? not the one corresponding to the row being calculated.
What is meant by [visible context] hear? how is it defined? And/or how is it treated by CALCULATE when ALL is used?
If anyone please could explain to me -in depth- how the [MAX ( 'Date'[Date] )] evaluated to the date corresponding to the row being calculated and not to the Maximum date of the entire Date table
Thanks.
I have a table that holds ten days of values broken out by hour:
date hour sales
11/20/2019 1 10
11/20/2019 2 20
11/20/2019 3 30
...
11/20/2019 23 230
this pattern is repeated for each date until the current date where a row is inserted on the hour with latest sales
I would like to take the last sales amount for each date and divide the prior rows by that value using DAX. I am first trying to create a calculated column to just hold the max sales value, but for some reason I am getting the max value for the table instead of the group:
Estimated[SalesPct] =
var maxSales = MAXX('Estimated'[Exp_Sales])
return
CALCULATE(divide('Estimated'[Exp_Sales], maxSales)
For calculated column following DAX will do:
Estimated[SalesPct] =
VAR maxSales =
CALCULATE (
MAX ( 'Estimated'[Exp_Sales] ),
ALLEXCEPT ( 'Estimated', 'Estimated'[DateColumn] ) //change to your date column
)
RETURN
DIVIDE ( 'Estimated'[Exp_Sales], maxSales )
Thank
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.
I am new to Power BI and currently I am working with table visulaizations and slicers.
My data is as follows
Student table:
Date table:
Exam table:
The relationships within the table are as follows:
I want an output like the image shown below, I would like to create 2 table visuals that can be filtered on Student Name, Classroom and also have slicer on 2 dates. I need to compute minimum score. The user must be able to select 2 dates at a time on the slicer, the first date selected on the slicer should be attached to my 'Min Score at date1' and second date selected on the slicer should be attached to my 'Min Score at date2', and the third column 'Difference in Score' must be able to calculate the difference between the Min Score at date1 and Min Score at date2.
Similarly I also want to calculate the average minimum score too
Please let me know how to proceed or what alternative formula or query or method should I apply to get the desired result.Thanks!
Before I start, let me mention that this example was done in SSAS so it may need some tweaking in PowerBi but the logic is identical nonetheless.
First create a clone date table and call it something else e.g. 'Compare Date'. Next, create an inactive, one to many relationship between the 'Compare Date' and your 'Fact' table, see the image below, in this case I am joining on [Year Month], you will need to adjust to fit your needs:
If you are unsure how to do this, just right click on the new table and select the create relationship option, ensure that the relationship is like the image below:
Once this has been done, right click on the 'relationship' and mark it as inactive.
Now that you have the new date table and the relationships set up, I want you to create a few DAX measures:
Min Date 1 = Min('Student Table'[Score])
Min Date 2 = CALCULATE(Min('Student Table'[Score]), ALL('Dates'), USERELATIONSHIP('Compare Date'[Date], 'Fact'[Date]))
Avg Date 1 = AVERAGE('Student Table'[Score])
Avg Date 2 = CALCULATE(AVERAGE('Student Table'[Score]), ALL('Dates'), USERELATIONSHIP('Compare Date'[Date], 'Fact'[Date]))
Delta Min = [Min Date 2] - [Min Date 1]
Delta Avg = [Avg Date 2] - [Avg Date 1]
These measures will calculate exactly what you need and can be filtered independently via two date slicers tied to each date table. The rest is just busy work.
I hope this helps.
I am trying to make measure that gets sum of amt column where versiontype column = ative how do I write dax formula for that measure?
So let's say your fact table is called Sales. It has a Sales Amount called Amt. The table is linked to a Version table with a VersionType field that includes a value of "Active".
You could create a new measure for Active Sales as follows:
ActiveSales :=
CALCULATE (
SUM ( Sales[Amt] ),
'Version'[VersionType] = "Active"
)