I need a little help with this one that seems very simple but I cant write the right DAX for it.
Context
I have a table of insurance claims and the days they were assigned and unassigned to adjusters, and the duration of this assignments in days.
ClaimID
Another header
A header
Another header
1
10/31/2022
11/30/2022
30
1
1/1/2023
1/4/2023
3
2
10/29/2022
12/28/2022
60
2
12/28/2022
1/6/2023
9
I need a measure (CycleTime) that calculates a monthly cumulative duration for each claim, and then take an average. All this based on the UnAssignedDate.
Desired output.
The measure will be plotted by month-year and this is how it needs to calculate CycleTime:
November 2022 : We only have one unassigned claim (1), so the cycletime equals to that single duration (30).
December 2022 : Again, we only have one unassigned claim (2), so the cycletime equals to that single duration (60).
January 2022 : For this month, both claims were unassigned, so we need to calculate the cumulative duration for each one and then take the average:
Claim 1 : 30 + 3 = 33
Claim 2 : 60+9 = 69
CycleTime = (33 + 69)/2 = 51
The measure should work for multiple claims and multiple unassignments per claim.
Any help would be greatly appreciated. Thank you for reading!
Related
I have a dataset containing the duration (in minutes) of occupancy events over a period of 1 hour in my rooms:
# room date duration
--- ---- ------------------- --------
0 A1 2022-01-01 08:00:00 30
1 A1 2022-01-01 10:00:00 5
2 A1 2022-01-01 16:00:00 30
3 A1 2022-01-02 10:00:00 60
4 A1 2022-01-02 16:00:00 60
...
My date column is linked to a date table in which I have:
# datetime year month monthName day dayOfWeek dayName hour
--- ------------------- ---- ----- --------- --- --------- -------- ----
...
k 2022-01-01 08:00:00 2022 1 January 1 5 Saturday 8
k+1 2022-01-01 09:00:00 2022 1 January 1 5 Saturday 9
...
n 2022-03-01 22:00:00 2022 3 March 1 1 Tuesday 22
I am trying to retrieve the following percentage: duration/timeperiod through a measure. The idea behind using a measure is :
Being able to use a time slicer and see my percentage being updated
Using, for example, a bar chart with my date hierarchy, and being able to see a percentage in my different level of hierarchy (datetime -> year -> month -> dayOfWeek -> hour)
Attempt
My idea was to create a first measure that would return the number of minutes between the first and the last date currently chosen. Here is what I came up with:
Diff minutes = DATEDIFF(
FIRSTDATE( 'date'[date] ),
LASTDATE( 'date'[date] ),
MINUTE
)
The idea was then to create a second measure that would divide the SUM of the durations by the Diff minutes' measure:
My rate = DIVIDE(
SUM( 'table'[duration] ),
[Diff minutes]
)
I currently face a few issues:
The slicer is set to (2022-01-02 --> 2022-01-03) and if I check in a matrix, I have datetime between 2022-01-02 0:00:00 and 2022-01-03 23:00:00, but my measure returns 1440 which is the number of minutes in a day but not in my selected time period
The percentage is also wrong unfortunately. Let's take the example that I highlighted in the capture. There are 2 values for the 10h slot, 5min and 60min. But the percentage shows 4.51% instead of 54.2%. It actually is the result of 65/1440, 1440 being the total of minutes for my whole time period, not my 10h slot.
Examples
1- Let's say I have a slicer over a period of 2 days (2022-01-01 --> 2022-01-02) and my dataset is the one provided before:
I would have a total duration of 185 minutes (30+5+30+60+60)
My time period would be 2 days = 48h = 2880 minutes
The displayed ratio would be: 6.4% (185/2880)
2- With the same slicer, a matrix with hours and percentage would give me:
hour rate
---- -----
0 0.0%
1 0.0%
...
8 25.0% <--- 30 minutes on the 1st of January and 0 minutes on the 2nd
9 0.0% <--- (5+0)/120
10 54.2% <--- (5+60)/120
...
16 75.0% <--- (30+60)/120
Constraints
The example I provided only has 1 room. In practice, there are n rooms and I would like my measure to return the percentage as the mean of all my rooms.
Would it be possible ? Have I chosen the right method ?
The DateDiff function you have created should work, I have tested it on a report and when I select some dates, it gives me the difference between the first and last selected dates.
Make sure your slicer is interacting with the measure.
In the meantime, I think I found a simpler and easier way to do it.
First, I added a new column to my date table, that seems dubious but is actually helpful:
minutes = 60
This allows me to get rid of the DATEDIFF function. My rate measure now looks like this:
My rate = DIVIDE(
SUM( table[duration] ),
[Number of minutes],
0
)
Here, I use the measure Number of minutes which is simply a SUM of the values in the minutes column. In order to provide accurate results when I have multiple rooms selected, I multiplied the number of minutes by the number of rooms:
Number of minutes = COUNTROWS( rooms ) * SUM( 'date'[minutes] )
This now works perfectly with my date hierarchy!
I should be able to make a report concerning a relationship between sick leaves (days) and man-years. Data is on monthly level, consists of four years and looks like this (there is also own columns for year and business unit):
Month Sick leaves (days) Man-years
January 35 1,5
February 0 1,63
March 87 1,63
April 60 2,4
May 44 2,6
June 0 1,8
July 0 1,4
August 51 1,7
September 22 1,6
October 64 1,9
November 70 2,2
December 55 2
It has to be possible for the user to filter year, month, as well as business unit and get information about sick leave days during the filtered time period (and in selected business unit) compared to the total sum of man-years in the same period (and unit). Calculated from the test data above, the desired result should be 488/22.36 = 21.82
However, I have not managed to do what I want. The main problem is, that calculation takes into account only those months with nonzero sick leave days and ignores man-years of those months with zero days of sick leaves (in example data: February, June, July). I have tried several alternative functions (all, allselected, filter…), but results remain poor. So all information about a better solution will be highly appreciated.
It sounds like this has to do with the way DAX handles blanks (https://www.sqlbi.com/articles/blank-handling-in-dax/). Your context is probably filtering out the rows with blank values for "Sick-days". How to resolve this depends on how your data are structured, but you could try using variables to change your filter context or use "IF ( ISBLANK ( ... ) )" to make sure you're counting the blank rows.
We have a dataset in which there is data for only several months. So for example January is in, March is in and June is in. Then a matrix is formed with the data.
january february march april may june july
345 452 657
So our data looks like this
Months value
january 345
march 452
june 657
We want to average the values in this matrix. So sum(values)/months. We have tried a lot with Power bi DAX but have not yet found the solution.
Now the average that comes out is the following
(345 + 452 + 657) / 3 = 484,6
While what we want is
(345 + 452 + 657) / 7 = 207,7
Matrix is specially designed to show only the column or row that has a value on it. It will not show null or no values on it.
But, if you Create a Measure and add + 0 to the Measure Formula then it should show the value. An Example would look like this
# Sales= DISTINCTCOUNT(tbl_SalesHistory[SaleID]) + 0
I am trying to create a variance measure in PowerBI.
This is the data that I have,
Month Year MonthNo Value
Jan 2016 1 700
Feb 2016 2 800
March 2016 3 900
April 2016 4 750
.
.
Jan 2017 13 690
Feb 2017 14 730
And My variance for the Month Number 7 should be like,
`{Avg(values(4,5,6) - Value(7)} / Value(7)`
i.e (Average of last 3 months value - current month value) / Current month value
How to do this in Power BI? Thanks.
If it is okay for you to use a column, I believe you could add one with this code to get what you want:
Variance = (CALCULATE(AVERAGEX(Sheet1,Sheet1[Value]),FILTER(FILTER(Sheet1,Sheet1[MonthNo]<=EARLIER(Sheet1[MonthNo])-1),Sheet1[MonthNo]>=EARLIER(Sheet1[MonthNo])-3))-Sheet1[Value])/Sheet1[Value]
You'll need to replace all instances of Sheet1 with the name of your table.
It'll give you something like this:
I'm writing my master thesis on the costs of occupational injuries. As a part of the thesis I have estimated the expected wage loss for each person for every year for four years after the injure. I would like to discount the estimated losses to a specific base year (2009) in SAS.
For the year 2009 the discounted loss is just equal the estimated loss. For 2010 and on the discounted loss can be calculated with the netpv function:
IF year=2009 then discount_loss=wage;
IF year=2010 then discount_loss=netpv(0.1,1,0,wage);
IF year=2011 then discount_loss=netpv(0.1,1,0,0,wage);
And so forth. But starting from 2014 I would like to use the estimated wage loss for 2014 as the expected loss onward - so for instance if the estimated loss is 100$ that would represent the yearly loss until retirement. Since each person don't have the same age there would be too many ways just to hard code, so I'm looking for a better way. There are approximately 200.000 persons in my data set with different estimated losses for each year.
The format of the (fictional) data looks like this:
id age year age_retirement wage_loss rate discount_loss
1 35 2009 65 -100 0.1 -100
1 36 2010 65 -100 0.1 -90,91
1 37 2011 65 -100 0.1 -82,64
1 38 2012 65 -100 0.1 -75,13
1 39 2013 65 -100 0.1 -68,30
1 40 2014 65 -100 0.1
The column discount_loss is the net present value of the loss i 2009. Calculated as above.
I would like the loss in 2014 to represent the sum of losses for the rest of the period (until age_retirement) on the labor market. That would be -100$ discounted for 2009 starting from 2014 until 2014+(65-40).
Thanks!
Use the FINANCE function for PV, Present Value.
In your situation above, you're looking for the value of 100 for 25 years of payments (65-40)=25. I'll leave the calculation of the number of years up to you.
FINANCE('PV', rate, nper, payment, <fv>, <type>);
In your case, Future Value is 0 and the type=1 as you assume payment at the beginning of the year.
The formula below calculates the present value of a series of 100 payments over 25 years with a 10% interest rate and paid at the beginning of the period.
value=FINANCE('PV', 0.1, 25, -100, 0, 1);
Value = 998.47440201
Reference is here:
https://support.sas.com/documentation/cdl/en/lefunctionsref/67960/HTML/default/viewer.htm#p1cnn1jwdmhce0n1obxmu4iq26ge.htm
If you are looking for speed why not first calculate an array that contains the PV of $1 for for i years where i goes from 1 to n. Then just select the element you need and multiply. This could all be done in a data step.