i have a problem regarding my calculation. I want to visualize the running total over time (for example 01.07 after hours rounded to the nearest half hour to reduce computing power). I have 90 days of data in my dataset. The Problem i have is that the calculation for the dates long time ago (for example 01.12.2021) are super fast and the calculation for recent dates (05.07.2022) are super slow. I think that the measure calculates the running total for the whole column and then the date filter will be applied, which caused the extreme long calculation time for recent dates. Every day has the same amount of rows. Any idea how i can tell the measure to calculate the running total only for the selected date/date which i picked in my filter?
I used the following measures:
Average Sales =
'Measure Table X'[RT Sales] / 'Measure Table X'[RT Rows]
RT Sales = CALCULATE(
Sum('X'[Sales]),
'X'[Time rounded] <= Max('X'[Time rounded]))
RT Rows = CALCULATE(
COUNTA('X'[Time rounded]),
'X'[Time rounded] <= Max('X'[Time rounded]))```
I'm not sure what you are going to achive, but you can try this, this can work faster.
Average Sales =
CALCULATE(
DIVIDE('Measure Table X'[RT Sales] , 'Measure Table X'[RT Rows])
'X'[Time rounded] <= Max('X'[Time rounded]
)
RT Sales = Sum('X'[Sales])
RT Rows =COUNTA('X'[Time rounded])
I'm fairly new to Power BI, so may be overlooking something basic here.
I have a Column which contains a banding number (1 to 3), depending on a customer's total spend.
Band 1: 0 - 500
Band 2: 501 - 1000
Band 3: 1001+
I have created 3 Parameters on my report (Parameter 1, 2 and 3).
Each parameter allows for a decimal range between 5 and 35 with increments of 2.5
This parameter will represent the percentage of the income that is earned by a consultant.
I'm trying to create a measure that multiplies the Income by the respective Parameter. Allowing users to adjust the percentage earning dynamically when viewing the report.
Below is an example of the table.
Table Name: Receipts
Policy Number
Client Name
Band
Income
SA1
Ray Mann
3
800
SA2
Ray Mann
3
900
SA3
Mary Yu
2
600
SA4
Sam Fry
1
20
SA5
Sam Fry
1
50
I'm a little lost on this one.
As a calculated columns I would do a simple SWITCH statement, however as it's not a measure it will not adjust dynamically as the parameter slider is changed.
Your help is greatly appreciated.
Kind regards,
Morallis
Let's say there are three what-if parameters, named Parameter1, Parameter2 and Parameter3, and your table is named Table. We can create a measure, which first will use SUMMARIZE to summarize the data calculating the total income per band:
SUMMARIZE('Table', 'Table'[Band], "Income", SUM('Table'[Income]))
Then will use SUMX to calculate the multiplied income:
Multiplied Income =
SUMX(
SUMMARIZE('Table', 'Table'[Band], "Income", SUM('Table'[Income])),
[Income] * SWITCH([Band],
1, Parameter1[Parameter1 Value],
2, Parameter2[Parameter2 Value],
3, Parameter3[Parameter3 Value],
1)
)
The result will be as follows:
We have a report in Compliance% which is calculated every day. I have a requirement to calculate the Monthly Average of these daily Compliance% values.
PowerBI currently gives incorrect total value in a table format, I have attached the sample file. It is giving 56.90 in the grand total whereas I want to calculate sum(Compliance%)/count(day or month).
Could someone please help.
[
I think you need to introduce a new measure:
mDay =
IF(
HASONEFILTER(Table1[Compliance %]),
SUM(Table1[Day]),
FORMAT(
SUMX(Table1, Table1[Compliance %]) / COUNT(Table1[Day]),
"0.00%")
)
Here's the result for the month of February:
Here's another one if you also include a few values from March:
As you can see the measure responds to your table filters.
I hope it helps.
I am trying to get my head around DAX and am struggling. I have a PowerBI Matrix in which I need to calculate the average of a measure. The measure is '% of population' and on the surface it appears to work exactly as expected.
It calculates correctly in the top matrix for the two levels and also summarises correctly in the bottom table.
As an example, I have highlighted in red the order of calculations for "A3"
For the record the % population is set to
% of Population = sum(Data[Value])/sum('Level'[Population])
The problem occurs when I filter on the Country and only select Country 2...
Country 2 does not have data for "D13". Although the Values sum up correctly (170), the Sum of the Population includes the 300 from the missing D13 row making a total of 600 and the '% population' of 28.33% (instead of 170 / 300 = 57%)
I am happy to turn off the group totals in the top grid so that the 28.33 does not show; so my real problem is actually with the bottom grid.
I think I need a new measure to be displayed in the bottom grid. I think it simply needs to sum up the values and divide by the sum of the populations - but only when the value is present. How do I do that?
Or am I totally on the wrong track and there is an obvious answer that I am missing?
The PowerBI file can be downloaded from here
Thanks in advance.
The reason this is happening is that the Country table does not filter the Level table in the relationship diagram since they both only filter one way to the Data table and there are no other relationships.
Without changing your data model, one way to fix this in DAX is to specify that you only want to count Population where Level[LevelId] matches a Data[SecondLevelId] in your current filter context.
Population =
DIVIDE (
SUM ( Data[Value] ),
CALCULATE (
SUM ( 'Level'[Population] ),
'Level'[LevelId] IN VALUES ( Data[SecondLevelId] )
)
)
I can't get a division correct with this sample data:
Calculated column Another calc. column
48 207
257 370
518 138
489 354
837 478
1,005 648
1,021 2,060
1,463 2,164
2,630 1,818
2,993 2,358
3,354 3,633
4,332 5,234
4,885 6,108
4,514 6,008
4,356 6,888
4,824 7,382
7,082 5,988
7,498 6,059
4,865
4,192
3,816
2,851
2,768
2,093
2,207
770
397
149
178
336
167
124
18
What I'm trying to do is to create a new calculated column.
For each row I want to get the value of Calculated column and divide it by the Total of Another calc. column.
The Total of Another calc. column = 82826
This is the desired output in a brand new calculated column, let's call it % Column:
% Column
0,000579528167484
0,003102890396735
0,006254074807428
.
.
.
NOTE - these 3 columns: Calculated column, Another calc. column and % Column are all in the same table and are all calculated columns.
I tried lots of formulas but not a single one returned the desired output. :| I guess it's because of the nature of calculated columns or I'm not getting the gist of it.
Is this even possible or I should follow another path using a Measure?
Can you shed some light?
####### EDIT #######
I put together a sample file to help debugging this. Here it is:
https://drive.google.com/open?id=1r7kiIkwgHnI5GUssJ6KlXBAoeDRISEuC
As you see:
Earned Daily % HARDCODED works just fine because 82826 is hardcoded as the denominator.
Earned Daily % by StelioK and Earned Daily % by Alexis Olson output the same wrong value for the division when using SUM formula.
I'm using the latest Power BI Desktop version if that matters: Version: 2.70.5494.701 64-bit (June 2019)
Basically, there is nothing wrong with the calculated columns, and both Alexis and StelioK formulas are correct.
The root problem here is a confusion between calculated columns and measures. You are looking at the results in a conceptually wrong way - through the matrix visual, with several filters active on slicers. If you remove the filters, you will see that the total amount is 140,920, not 82,826. The latter number is the total for the filtered data set, not the entire table.
To get this right, you need to understand several fundamental concepts behind Power BI:
Calculated columns are always static. Once a calculation is
completed, it can not respond to slicers or other UI controls. It's
just static data, identical to data in non-calculated columns. DAX
formulas used to calculate columns are active only when you create
them, or upon data reload.
If you want your calculations to respond to slicers etc, they must be measures. It's the only way, no exceptions.
Avoid calculated columns, they are utterly useless. Power BI is all about measures; I can't think of a single reason for using calculated columns. When you add a column, you are essentially enhancing your source data, because you feel like you are missing something you need for your report. But that need can be much better addressed at the source (database or file you import), or using Power Query, which is designed exactly for this kind of tasks. The best practice is: build your columns at the source, for everything else design measures.
Another important advice: never drop fields (columns) into visuals directly. Always write a DAX measure, and then use it. Relying on Power BI auto-aggregations is a very bad practice.
You can do this by using the following DAX:
% Column =
VAR TotalSum =
SUM ( 'Table'[Another Calc column] )
RETURN
IF (
NOT ( ISBLANK ( 'Table'[Calc Column] ) ),
CALCULATE ( DIVIDE ( SUM ( 'Table'[Calc Column] ), TotalSum ) ),
0
)
Which yields the following:
I Hope it helps!!
For me the following works:
DIVIDE( Table1[Calculated column], SUM(Table1[Another calc column]) )
If that's not working, I'd need to see a file where you can reproduce the problem.
Edit: After looking at your file, the total of 82,826 is only true with the filters you've selected.
Note that calculated columns are not dynamic and cannot be responsive to filters since they are calculated only when the table is first loaded.
If you need it to be dynamic, then write it as a measure more like this:
Earned Daily =
DIVIDE (
CALCULATE (
SUM ( 'Test data'[Value] ),
'Test data'[Act Rem] = "Actual Units",
'Test data'[Type] = "Current"
),
CALCULATE (
SUM ( 'Test data'[Value] ),
ALLSELECTED ( 'Test data' ),
'Test data'[Act Rem] = "Remaining Units",
'Test data'[Type] = "PMB"
)
)