I'm currently working on inventory reconciliation, and I've struggling to fill all days of the calendar with the cumulative sum of product we're currently storing:
Inventory level ($). = CALCULATE(SUM(ledger[cost]),FILTER(ALL(DimDate[Date]),DimDate[Date]<=MAX(ledger[Document Date])))
As you guys might notice it has at least 90% of all dates filled, however if we look closely to the graph, we can appreaciate March 5th of 2016 is missing just due to the fact there was no transaction during that day resulting on a blank value. However I'm trying to accomplish retrieving the previous day balance for those days with no transactions. e.g: for March 5th should have $17,038,462.32 (balance for the previous day March 4th).
I'm trying to work on another clause into the measure with functions such as EARLIER or LASTDATE, however I haven't been succesful.
Any insight or solutions works well thank you. Have a nice day.
You are using a wrong date field in your measure. Change it to the field from the Date table:
Inventory level. =
CALCULATE(
SUM(ledger[cost]),
FILTER(ALL(DimDate[Date]),DimDate[Date]<=MAX(DimDate[Date])))
Related
Relative Date Functionality in Power BI:
Issue #1:
Hi Team,
Need to know is there any way to implement the below relative date filter functionality in Power BI
Please note the following:
For year the base year should be current year, for now it should be 2021
For month the base month should be current month, for now it should be july and so on.
Issue#2:
Based on the above, we want to implement a functionality based on the below selection, where in if we select week, then we should see the count of a metric only for the weeks which are passed by the above filters and similarly for months, days etc. For eg, if we select year, then we should get the count for the year 2022 only as this is the only year passed by the above filter.
Thanks for any help!
Technically possible? I think so. Feasible? No, not really.
While there is some playroom with bookmarks, custom graphics and clever use of a wide range of measures and calculation groups - it would be an enormous task to get everything running correctly and smoothly.
Perhaps one option is to introduce this filtering functionality via a custom visual that takes your date column as input?
I am running into a strange issue.
I have a table with companies with values over years. I built up a DimDate Table to use the time intelligence capabilities.
I create a measure with DAX, that give me the PreviousYear value for each company. The issue is that, if that company has no value for current year, the DAX formula don't give me back the previous year even if it exits.
here is a screen shot of the situation:
In that case I was expecting that the matrix table on the top show company a, for the previous year calculation, as company a has value for 2019.
The DAX formula is:
MeasurePreviousYear = CALCULATE(SUM('Table'[value]),PREVIOUSYEAR(DimDate[Date]))
The underlying table is like that:
Anyone any idea on what is going on?
Thank you!
In Power Bi my average matters per day is not stopping on the current day.
Avg Per Day = DIVIDE([Matters],SUM(Dates[IsWorkday]))
where IsWorkday = IF(ISBLANK(Dates[Holiday]),IF(Dates[DayOfWeekNumber]>1&&Dates[DayOfWeekNumber]<7,1,0),0)
and Matters = COUNT(BillingData[Item])
So today is the 27th of the month so 18 of 20 work days are completed for the
month. So need [matters]/18, not [matters]/20.
How do I factor that in to my average and not affect previous months.
Any help appreciated.
Sounds like you need to just add one more condition to your if statement to add in that the date is less than todays date. Check out this post. I think it might have the solution to your problem or at least give you the idea you need to solve the issue.
https://community.powerbi.com/t5/Desktop/Networkdays-DAX-function/td-p/38044
I've been doing a lot of research on this question over the past few days, but none of the articles I've researched have been able to do. I'm trying to find the difference between two dates in Power BI that excludes weekends, but it also needs to calculate the differences in times as well. All of the articles I've seen have been able to find the difference in the dates themselves, but for my specific problem, the times are important.
For example,
I'm trying to find the difference between Pickup Date/Time and Created Date/Time. The data I am looking at is to find all the shipments that were entered into the system two business days in advance of the pickup date, and those shipments need to be entered in before noon that day.
I've created a Date table that has all dates between 2018-2020 that show whether it's a weekend or a weekday, but I haven't been able to figure out how to basically do Pickup From - Created From and filter out the weekends.
Any help with this would be greatly appreciated.
My data is below that i'm trying to use.
Supplier Lead Times Table with Created/Date Time and Pickup From/Date Time
Lead Time Days
The Lead Time days currently is just ('Supplier Lead Times' [Pickup From Date/Time] - 'Supplier Lead Times'[Created Date/Time]).
Even if I could use the DATEDIFF HOURS function for this, that would work, i'm just having trouble filtering out the weekend days. I have a calendar table that has all the weekdays/weekends
Calendar Week Table
As far as I checked, your "Create Date" and "Pickup Date" fields are always weekdays. Therefore, if we calculate the total difference than put 24 hour back for each weekend, that would work. Try to create a quick measure column like below and apply it to your table:
Difference =
var weekends =
SUMX(
SELECTCOLUMNS(
CALENDAR(min('MyTable'[CreatedDate]), min('MyTable'[PickUpDate])),
"Date", min('MyTable'[CreatedDate]),
"BDay", IF(WEEKDAY([Date],3) >= 5, 1, 0)
),
[BDay]
)
return DATEDIFF(min('MyTable'[CreatedDate]), min('MyTable'[PickUpDate]), HOUR) - weekends*24
Maybe this is an easy one but since I’m very new in DAX and PowerBI I can’t figure it out. My database has daily data ranging from MAY/17 to JUN/17 (and it’ll still going in the future). It has information of DATE, DAY, YRMTH (year-month), QT_APRV (approved customers) and QT_TOTAL (total consumers). Sample below (using Excel just to be quicker):
I wanted to create in PowerBI a bar chart with QT_TOTAL per day and a line chart with approved rate of consumer. For the rate, I used:
APPRV_RT = SUM(database[QT_APRV]/SUM(database[QT_TOTAL])
And then, selecting only a month by time in the chart (just like I want), I have:
Perfect, but now I want to create a new line chart, showing the approved rate in each respective day of the last month. Using my example, when june data are select, the first line chart has to show the daily approved rate of june AND the other the approved rate of may, in order to make it comparable (june1 -> may1; june12 -> may12 and so on). Here’s what I want:
How to make this automatically, in order to make each month comparable with the previous? I thought about some DAX formula involving a sum with filtering current month minus 1, I don’t know how to do it.
Any ideas?
UPDATE (07/08/2017)
I tried what Rasmus Dybkjær suggested me, and I thing I'm in the right path.
APPROVED_RATE_PREVIOUS_MONTH = CALCULATE([APPROVED_RATE_CURRENT_MONTH];PARALLELPERIOD(dCalendario[DataBase];-1;MONTH))
However, it returned the approved rate from the previous month as a whole (67,0% in May), not each day as I wanted:
Any suggestions?
You should be able to use the DAX function called PARALLELPERIOD() for this purpose. The PARALLELPERIOD() function takes a date column and shifts it a number of periods back or forward.
For example, you could use it like this to calculate your approved rate shifted one month back:
ApprovedRateLM =
CALCULATE(
DIVIDE(
SUM(database[QT_APRV]),
SUM(database[QT_TOTAL])
),
PARALLELPERIOD(database[Date],-1,month)
)
Note that it is important that your [Date] column contains a date type. Otherwise the PARALLELPERIOD function will not work.