I have created 3 DAX measures in Power Pivot to calculate backlog value and I have an issue with filtering in pivot chart. When I filter out a specific time period, the backlog calculates only based on filtered dates. Instead of filtering, I would like to only "zoom in" to some specific time-range.
Measures
Opened:=CALCULATE(COUNTA([CreatedOn]))
Closed:=CALCULATE(COUNTA(Ticket[ClosedOn]),USERELATIONSHIP(Ticket[ClosedOn],'Calendar'[Date]))
Backlog:=CALCULATE([Opened]-[Closed],FILTER(ALLSELECTED('Calendar'),'Calendar'[Date]<=MAX('Calendar'[Date])))
Based on example data below, without filtering any dates the backlog value is following:
Date;Backlog
1/1/2021;1
2/1/2021;3
3/1/2021;1
4/1/2021;3
When I filter dates excluding 1st of January, I get following values:
Date;Backlog
2/1/2021;2
3/1/2021;1
4/1/2021;3
I want to get same values as without filtering the date. I just want to to "zoom in" on some specific date range. In my case i have 1 year of input data and want to see the backlog evolution of last 8 weeks. So when I filter last 8 weeks, my first week shows only value calculated for that week, but instead it should take into account all the values from previous periods + the result of first week
Example data
TicketNumber;Type;CreatedOn;ClosedOn;Status
ticket1;Service Request;1/1/2021;1/3/2021;Closed
ticket2;Incident Record;1/2/2021;1/3/2021;Closed
ticket3;Incident Record;1/2/2021;1/5/2021;Closed
ticket4;Service Request;1/4/2021;;Open
ticket5;Service Request;1/4/2021;;Waiting for
Fixed thanks to my colleague! :)
I had to change ALLSELECTED to ALL
Backlog:=CALCULATE([Opened]-[Closed],FILTER(ALL('Calendar'),'Calendar'[Date]<=MAX('Calendar'[Date])))
Related
I have a table (we'll just call it MyTable) in PowerBI that includes a Date column. I have created a DateDimension table using CALENDARAUTO() with columns for the Date, Month#, MonthName, etc and created the relationship between that Date and the Date in MyTable.
I want to calculate the average year based on the records in MyTable. For example, if I have records with 1/1/2005, 1/1/2014, and 1/1/2015, the average year should be 2011.
How would I go about doing that? I've tried doing a measure of AVERAGE(DateDimension[Year]) and adding that to a Card visual, but it just shows 2.01K. If I do FORMAT(AVERAGE(DateDimension[Year]), "####"), the average is completely wrong.
Since you already have this DateDimension table, use
Average =
AVERAGEX(
MyTable,
RELATED(DateDimension[Year])
)
You can control the formatting by clicking on the measure (Average) and then using the Measure tools pane:
Set it to Whole number and no thousands operator.
So I am looking to display payments from individual donors over a time period between their first donation, and today's date.
To fill gaps in a visual representation of donations over time, I use a calendar table and select ‘show items with missing data.’
My issue is that if a donor first donated in 2005 the fact that the calendar table starts in 1980 means the graph shows an X axis date range starting that year. So it's showing a lot of time we know has no data.
How can I default the date range to start at the date of the first donation of the user ID passed to the report?
Tables: Calendar, Donations
One way to achieve this is to create a measure that checks to see if there are donations within the current filter context. For your chart this will be for the date and donor category selections, though this would work in any other filter context that relates to donations.
It will look similar to this:
Has Donations =
if(calculate(isempty(relatedtable(DonationsTable
)
)
)
,0
,1
)
You can then add this filter to the Filters on this visual section of the Filter Pane and check for where the value is 1, though make sure your date axis is set to continuous. This will return all dates between the oldest and newest donation.
I have created two slicers in Power BI for Month and Year. These take the month and year value and in return generate a date.
Eg. Month - May & Year- 2019 generates 01/05/2019 with the help of the a measure formula :
MyFilterDate = DATE(SELECTEDVALUE(ListoY[Year]),SELECTEDVALUE(ListoM[Month],0),"01")
I want to subtract this date with one that is already in a column in the table.
I'm facing an issue when I try to subtract the measure from the existing column by writing DAX.
SUBVALNEW = DATEDIFF([MyFilterDate],Table[Date],DAY)
But when I try to do so, the result is not right. In fact when I try to check the value of [MyFilterDate] in the Data Model, it is not the same value as one calculated in the measure. (It instead looks like it displays the date in Table[Date])
Is there any way to subtract a Dynamically chosen date from a date in a column?
Any help would be appreciated.
I understand what your thinking patern is but power bi works a bit different. Dynamic measures cannot be used with calculated columns. When doing so the value of the measure is not set.
The way to go about this is by creating a Date table:
Date = CALENDAR(MIN(CalendarWeek[Date]);MAX(CalendarWeek[Date]))
Do NOT connect it to the model. From here you can make 2 slicers (based on the Date table). One your set to the month and the other to the year.
Next step is to adjust the MyFilterDate
MyFilterDate = DATE(SELECTEDVALUE('Date'[Date].[Year]);SELECTEDVALUE('Date'[Date].[MonthNo]);"01")
Make SUBVALNEW a measure (cannot be a column because it is dynamic!)
SUBVALNEW = DATEDIFF([MyFilterDate];SELECTEDVALUE(CalendarWeek[Date]) ;DAY)
Ass the Measuer to your visual, see end result below)
I am learning to use Power Pivot and write DAX and I am working through a book I bought written by Rob Collie and Avichal Singh called "Power Pivot and Power BI".
Early on it explains what happens when using CALCULATE() in a measure. A key point of understanding is explained as follows:
If a filter argument acts on a column that IS already on the pivot, it
will override the pivot context for that column
So in a simple table called "GSR" I have a series of invoices with an invoice date, a product and an amount. I have another column that converts all invoice dates to the last day of the month to gather them together. I have created a measure called "Total orders" that is counting the number of rows.
I have created a pivot of this data with:
Products in the rows
Month end in the columns (but I've actually chosen Month and Year from the automatic breakdown Power Pivot has done on my Month_End column)
Orders in the values
This pivot renders correctly.
Now the issue:
I've created two slicers that are feeding off two disconnected tables; one containing month numbers, and one containing years. Based on the selection from each of these I have a measure that creates a month end using the EOMONTH(DATE(),0). This measure is called "Comparison_Month_End".
I then have another measure called "Compare_Orders" that contains the following:
CALCULATE([Total orders],FILTER(GSR,GSR[Month_End]=[Comparison_Month_End]))
The point of all of this - this is meant to get the orders from the GSR where the month and year match the slicer selection. I want this value to appear in the pivot for every month selected i.e. not filtered by the pivot.
It doesn't work, however. This seems to me to be counter to what the book says, which is that if the filter in the measure is applied to a column on the pivot (in this case Month_End), the pivot filter is overriden. So, for example, if I have 31-Mar-18 in a column on my pivot and the comparison month end is 31-Jan-18, I would expect to see the January orders within "Compare_Orders" sitting next to the March orders, the February orders, the December orders and so on, but it only appears next to January.
To me this is doing exactly the same as an example in the book where there is a pivot with Year in the rows, Total Sales in column 1 and then 2002 sales in column 2. Column 1 shows sales for each year, column 2 shows the same sales figure (i.e. 2002 sales) against every row, even where the row year is 2001, 2003 or 2004. The 2002 Sales measure is using CALCULATE() summing Total Sales, filtering on "Sales[Year] = 2002".
Could anyone please explain why what I expected to happen doesn't seem to be happening please?
Thank you.
CALCULATE does indeed override the filter context when evaluating its first argument; using the rows provided to its second argument as the new filter context. However; CALCULATE does not alter the filter context when evaluating its second argument, and so pre-existing filters remain unless they are explicitly removed.
In FILTER(GSR,GSR[Month_End]=[Comparison_Month_End]), FILTER only iterates over rows of GSR that are present in the pre-existing filter context (the pivot context). To get all rows, use ALL:
CALCULATE([Total orders],FILTER(ALL(GSR),GSR[Month_End]=[Comparison_Month_End]))
I have a list in SharePoint Office 365 with a number of columns to register and track claims.
One of the columns is a calculated one - to catch the duration of claims processing.
I would like to calculate it as a difference between dates and shown in days.
To do it I want to use 3 pieces of information:
Column [RegistrationDate]
Date of new registered claim.
Column [EndDate]
Finalization of the claim.
[Today]
Sytem date for now.
The logic to be done by the formula should be:
IF [EndDate] is empty THEN:
[Today]-[RegistrationDate]
OTHERWISE
[EndDate]-[RegistrationDate]
Question: What formula will achieve my desired output?
Calculated columns cannot use the [Today] dynamic variable. (Validation formulas can.) Calculated Columns are only updated when they are edited, not each time they are viewed.
If you could use [Today], it would look like this:
=IF( ISBLANK( [EndDate] ), [Today]-[RegistrationDate], [EndDate]-[RegistrationDate] )
But... you cannot use [Today] in a calculated column...