I have table in Power BI with following columns: Country, Date and event. I would like to add measure or new column if needed with 'Start Day'. 'Start Day' assignes value '1' at the first day that value greater than 0 apears in column 'event' and starts counting days from this date. In example below for country UK value 1 in column 'event' apears on 19/03/2020 and in column 'Start Day' value 1 is assigned. Next date 20/03/2020 has value 2 assigned and so on. What is the best way to do this in Power BI?
Robert
You need to create an extra column as this is static data.
You can do this by first getting the start date of that country and then take the datediff between the dates.
In the CALCULATE function, I get all rows where the country is equal and where the event = 0. From those rows, I get the max date (firstD). This was the most important step as we can now use the DATEDIFF to calculate the days.
I used the max function once more because you want to have 0 in the rows before the startdate.
Start Day =
var country = events[Country]
var firstD = CALCULATE(MAX(events[Date]);FILTER(events;events[Country] = country && events[event]=0))
return max(DATEDIFF(firstD;events[Date];DAY);0)
Related
I need a DAX measure that gives me the sum of durations for multiple categories restricted by a date slicer.
In this simplified example there are 2 categories with 3 subcategories each. A DateTime Slicer on the dashboard is set to the timespan of 2nd of January 2021 noon to 6th of January midnight. I need the summed up duration of all categories in this timespan.
Input data:
A table containing multiple rows for each category with a start date and an end date.
The complicated part is that there are pauses between the timestamps.
Desired output:
A table on the dashboard containing the category and a calculated measure for the summed up duration during the sliced timespan.
When changing the slicer the meaure shall change as well.
My current solution for this problem is an M formulato create a list of all days in each timespan and to unpivot all lists. In the dashboard the count of rows gives you the number of days in the selected timespan. This solution though reqires a much larger input table and soes not work if you want to be exact on the second, only on days.
I tried so solve this via a measure but didn't make any progress worth showing here.
all datetime values are in the format dd.mm.yyyy hh:mm:ss (24h system)
I found a way to do it by using 2 measures.
First measure calculates the time during the timespan for each element:
I use one Date Table only consisting of all dates available which is the input for the slicer and the data Table called "Data".
duration_in_timespan_single =
VAR MinTs = MIN ('Date'[Date])
VAR MaxTs = MAX ('Date'[Date])
VAR MinUtcMin = MIN ('Data'[Date_Start])
VAR MaxUtcMax = MAX ('Data'[Date_End])
RETURN
IF(
AND(MinUtcMin >= MinTs, MinUtcMin <= MaxTs),
IF(
MaxUtcMax <= MaxTs,
CONVERT((MaxUtcMax-MinUtcMin),DOUBLE),
CONVERT((MaxTs-MinUtcMin),DOUBLE)),
IF(
MinUtcMin < MinTs,
IF(
MaxUtcMax > MinTs,
IF(
MaxUtcMax <= MaxTs,
CONVERT((MaxUtcMax-MinTs),DOUBLE),
CONVERT((MaxTs-MinTs),DOUBLE)
),
0
),
0
)
)
The second measure just sums up the first for each category:
duration_in_timespan = SUMX('Data',[duration_in_timespan_single])
I think that the following formula summarize pretty well what I want to achieve:
date diff =
ABS (
DATEDIFF (
data_table[login_date],
SELECTEDVALUE ( 'Date'[Date] ),
DAY
)
)
but it returns me the following error
A single value for column 'login_date' in table 'data_table' 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.
In other word I want have a column in my data_table with date diff calculated dynamically based on min slicer date selection.
My final goal is to filter out dynamically users that has not been logged for the last 3 months based on the slicer date range.
Here is the dataset
user_id, login_date
111, 01/02/2021
222, 02/15/2021
444, 03/15/2021
555, 01/15/2021
I want user ID to be filtered out when the number of days between the max date of the date range and the day of the last connection is higher than 90 days.
Edit
I'm adding a different formula I'm working on but having few issues to make it work
active users = CALCULATE( DISTINCTCOUNT(data_table[id]), ( FILTER ( VALUES ( data_table[id] ), DATEDIFF(IF( ISBLANK(SELECTEDVALUE(data_table[login_date])),[Min range date],SELECTEDVALUE(data_table[login_date])),[Max range date],DAY) < 90 ) ))
You can't have a dynamically calculated column, but you can use a measure to do this. The issue that you have with your calculation is that it needed to do a row by row evaluation, rather than over a column. That is why you get an 'A single value for column 'login_date' in table 'data_table' cannot be determined' error.
In this case you can use SUMX, as this is a iterator and it will do row by row. So using the following measures:
Selected Date = SELECTEDVALUE('Calendar'[Date])
This reads the date selected. You can wrap it with a MIN/MAX if needed depending on how your slicer is set up. You can change the slicer to single select, it you just want one value.
Date Calc = SUMX('Table', DATEDIFF('Table'[Login_date], [Selected Date], DAY))
This uses SUMX to calculate on a row by row level.
You can then use this measure to drive your visual. In this example I've filtered out those over 30 days since the login
If you choose a new date, it will recalculate straight away. This should set you on the right path for your use case.
I have date slices with Begining and End date and I need to count the total number of employees at the beginning of the slicer date and total number of employees at the end of slicer date. Please help me in writing the DAX
Active employee = COUNTROWS('Turnover Active') need to get the number at the beginning of the slicer date and End Date
Thank you
Add a new table to your model with possible date values. For example:
TableName: DateTable
TableColumnName: DateValue (for example with values from 01.01.2019 to 06.11.2019)
Now add a slicer to your report and drag and drop the column DateValue into it.
With the following two measures you will get the start and the end date from this slicer:
MinDate = Min(DateTable[DateValue])
MaxDate = Max(DateTable[DateValue])
Now add a measure to calculate your total numbers of employees:
MinDateEmployees = Countrows(Filter(EmployeeTable; EmployeeTable[EmployeeDate] < MinDate))
MaxDateEmployees = Countrows(Filter(EmployeeTable; EmployeeTable[EmployeeDate] < MaxDate))
I couldn't find an answer for my issue elsewhere, so trying my luck here.
I have sales table and my final result should determine if there were sales made for same person in specific period of time, for example within 7 business days. for example:
For ID 123 I have to flag it that sale for products A,B,C where within specified period.
For ID 1234 only sales of products A and B meet the criteria product C was sold in irrelevant time frame.
I've created a date table with indicators that determine for each date if the date is a working day, but i am struggling to calculate the relevant last working day
For example: I need that for 01/01/2019 i will get 10/01/2019 date, based on NUMOFDAYS and FinalWorkday = TRUE, which basically means that i have to count NUMOFDAYS times TRUE statement for each date and return corresponding date.
After that step done I think that it would be pretty easy for me to determine if the sale for a person was made in specific time frame.
If someone can give me direction for that much appreciated
Thank you in advance
You could use a DateTable like this one:
I used the following DAX-expressions for the calculated columns:
nrDays = 7
isWorkDay = WEEKDAY('DateTable'[Date],2) < 6
rankWorkingDays = RANKX ( FILTER ( DateTable, DateTable[isWorkDay] = TRUE () ),
DateTable[Date] , , ASC )
LastWorkDay = LOOKUPVALUE ( DateTable[Date],
DateTable[isWorkDay], TRUE (),
DateTable[rankWorkingDays], DateTable[rankWorkingDays] + DateTable[nrDays])
This issue can be solved by the following, since three are non-working days/holidays we can filter them out via POWERQUERY, than add an Index Column and Another column Which is basically Index column + Number of days wanted, then simply merge duplicate of dates query on Index+number of days wanted column on Index column. And we get the correct date
My dataset includes information from at 26 different weeks. It lists all the open items from an accounts receivable database for each of the 26 weeks. Each of the report dates is exactly 7 days apart.
I am trying to compare the current receivables with the amount of the last week.
I thought that I will just extract the last report date with
LastReport:=LASTDATE(Report Date)
which gave me indeed the last report date. I go back 7 days with
PriorWeek:=DATEADD(LastReport;-7;DAYS).
This worked fine.
However, when I try to calculate the sum of last week using
CALCULATE(SUM(Total AR);Reportdate=PriorWeek)
I can an error that I cannot compare date and text fields.
I have checked the report date column is set to date.
What am I doing wrong?
I would say 'No need of ranking the Dates'. My solution is below using calculated columns:
Amount Variance =
VAR _PrevBlank =
ISBLANK ( [PrevWeek Amount] )
VAR _Amount = [Amount]
VAR _PrevAmount = [PrevWeek Amount]
VAR _Variance =
IF ( _PrevBlank, 0, _Amount - _PrevAmount )
RETURN
_Variance
I would suggest creating a date index using RANKX
RankDate = RANKX(Table1,Table1[Report Date],,ASC)
Then you can either create a calculated column that holds the previous week value
PreviousWeekCol = LOOKUPVALUE(Table1[Total AR],Table1[RankDate],Table1[RankDate]-1)
Or create a calculated measure that holds the prior week value
PreviousWeekMeasure =
VAR MaxDateIndex = MAX(Table1[RankDate])
RETURN CALCULATE(SUM(Table1[Total AR]),Table1[RankDate]=MaxDateIndex-1)