I'm new to Power BI and trying to build a measure to calculate no. of records which have dates between week start date and week end date.
I have created a slicer with calendar dates and harvesting the dates into two measure with following DAX
DAX
Week start date = CALCULATE(Min('Calendar'[Date]),ALLSELECTED('Calendar'))
Week end date = CALCULATE(Max('Calendar'[Date]),ALLSELECTED('Calendar'))
Now I created another measure to count no. of records having Submitted Dates between week start and end dates
#Submissions per week = CALCULATE(COUNT('Tracker'[Submitted Date]), DATESBETWEEN('Tracker'[Submitted Date].[Date],[Week start date],[Week end date]))
Sample data
Name
Submitted date
A
12/09/2022
B
12/09/2022
C
12/11/2022
D
12/12/2022
E
12/13/2022
F
12/14/2022
G
12/10/2022
H
11/18/2022
I
12/03/2022
J
12/07/2022
K
12/12/2022
L
12/14/2022
M
12/14/2022
N
12/01/2022
Total Submissions between 12/04/2022 and 12/10/2022 should be 4 from the above sample data.
But its counting all the records (14) which is not the case. Where did I go wrong?
the measure for this:
Count = Count(tbl[Submitted date])
The calendar is made of:
Calendar = CALENDARAUTO()
here is a data model:
Related
The source table has a table with a single amount and a revenue start and revenue end date. I need to graph the amount over the period by day in PowerBI.
For example:
Looking at the second row the total amount is 730 but I need to calculate a daily rate and display this each day for the revenue period. So if I had a bar chart for this row I would need to show it as 16 April has 34.76, 17 April has 34.76 and so on until 6 May which is the revenue end date. I've tried using between dates but cant seem to get it working.
You can use Power BI's CALENDAR() function to create a table of dates ranging from the minimum revenue start date to the maximum revenue end date.
Dates = CALENDAR(MIN(BookFees[Revenue Start Date]),MAX(BookFees[Revenue End Date]))
Then you can create a calculated column in the Dates table for the daily revenue.
Daily Revenue = Calculate(SUM(BookFees[RevenueDayAmount]),FILTER(BookFees,BookFees[Revenue Start Date]<=Dates[Date] && BookFees[Revenue End Date]>= Dates[Date]))
Here is the resulting bar chart:
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 am trying to find the Previous year sales for the same week in Power BI.I dont have any date column.
I have two table one is FACT Indicators table as shown below:
and one sales table( Fact Sales table):
I want to create one calculated field namely(Sales Previous Year) to show the previous year sales for the same week .
In 'Fact Indicators' table 'PY 52 week flag' filed shows if this week id is Previous year or not.
Week column shows the week number from 1 to 52 weeks .
Week Id shows the unique number per Market key.
'Market_Week Id Key' is the common joining key between FACT Indicators table and Fact Sales table
Please help me to find the formula for calculated field.I dont have the date field in my raw data
Every time you deal with anything related to dates, you will need to add what we call a date dimension. It will save you tons of headaches. Once you have it in you will be able to hook it into the creation of the calculated filed.
you can google power bi or ssas date dimension and find tons of information on it.
Yeah! I guess SQL Technical team can be a tough crowd.... Well! In this case, I would recommend bringing the Year into FactSales Table from Fact Indicator . You have two options here with physical relationship set up between Market Week Id Key in both tables you can build a calc column with
Year = CALCULATE(VALUES(FactIndicators[Year]))
or without relationship use LOOKUPVALUE on WeekId
Year = LOOKUPVALUE(FactIndicators[Year], FactIndicators[WeekId], FactSales[WeekId])
Sales Last Year calc colum :
SalesLastYear =
CALCULATE (
SUM(FactSales[SalesThisYear] ),
TOPN(1,
FILTER(
FactSales,
FactSales[Year] < EARLIER(FactSales[Year])
&& FactSales[Key] < EARLIER(FactSales[Key])
)
)
)
I have a dashboard that needs to display the beginning of the week, on Monday, of the week that I'm in. So for example, if its 1/7/2020, this card would show 1/6/2020. Here is the code I was trying:
Report Date = CALCULATE(TODAY(), FILTER('Calendar', 'Calendar'[WeekStartDate]))
The column in the Calendar table is Weekstartdate, which is accurate and does show the week of 1/6/2020 with the corresponding dates to it; however, it looks like it won't filter it from today's date.
Any ideas? or advice on what I'm doing wrong?
If what you are looking for is a single date, which gives the week start date based on Today's date, you should create a measure:
WeekStartMeasure = TODAY()-WEEKDAY(Today(),2)+1
If you are creating week start date based on a column, then you should create a column with the following calculation:
WeekStartDate = Table[Date]- WEEKDAY(Table[Date],2)+1
Once you create the measure/column, you can use it in the visualization to get the desired result.
We can calculate this way also
if (
WEEKDAY(TODAY(),1) == 1,
TODAY(),
TODAY() - (WEEKDAY(TODAY(),1) - 1)
)
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))