I have created the following table as a vizualization in Power BI.
The blue columns are measures I created. I need the totals for those columns to equal the sum of the visible values on in the table. Do I need to create the variances as calculated columns instead of measures?
The desired result would be for the Unit Variance column to total $3.87 and the Total Variance column to total $923.76.
Unit Variance is being calculated as follows
average('Sent'[SentAmount]) - average(Received[Received Amount])
Total Variance is being calculated as follows
[Unit Variance] * sum('Sent'[Sent Volume])
Here is the answer I came up with
I left the unit variance as a measure
unit variance = average('Sent'[SentAmount]) - average(Received[Received Amount])
But I made the total variance a column
Total Variance = ((SUMX(Filter('Sent','Sent'[Sent Volume] = 1),'Sent'[Sent Volume])) / sum('Sent'[Sent Volume])) * [Unit Variance]
I have a column in my sent table that puts a "1" in the row to count volume.
Related
I have below table which contains the columns as
Report Headers, South, North, East and West.
I would like to show output as shown in Total column.
Since I have Numeric, Alphabets, and percentage of value are mixed in the table, I am not able to calculate the Total values in Power BI Matrix.
enter image description here
I need the output as it is in Total column. I have given the Total Column formula in "Formula in Total column"
Row 1 Total is SUM
Row 2 Total is SUM
Row 3 Total is SUM
Row 4 Total is Division of Row 1 and Row 2. And it needs to displayed in Percentage.
I have to recreate the formula from Excel in Power BI.
What I try to achieve:
Excel Example Img
Excel Formulas Img
Every row of the column RAND contains calculation (RAND() in this case) plus a value from the previous period.
When I want to make such calculation in Power BI I receive a Circular Dependency Error.
Here is how I calculate columns in 'Bucket Calendar' table:
Col1 = Rand() * 100 + [Col2]
Col2 = CALCULATE(SUM([Col1]), FILTER(ALL('Bucket Calendar'), [Date] = EARLIER([PreviousDate])))
It cannot be done in Power Query because calculation I'll use instead of Rand() comes from other tables
Please help me to solve this.
Power BI newbie here and I'm trying to figure how to craft my DAX to manipulate my measure values based on certain criteria in the other two tables.
Currently I have 2 separate tables which are joined by a One to Many relationship and a separate Measures table. (Total Sales Price is computed as sum of Sales Price)
My aim is to create a new measure where Total Sales Price is multiplied by 1.5x when DIM_Product_Type[Product Category] = "High".
New Measure =
CALCULATE (
SUM ( FACT_PriceDetails[Sales Price] ),
FILTER ( DIM_Product_Type, DIM_Product_Type[Product Category] = "High" )
) * 1.5
However this returns no values in my visual and I'm trying to discern if its a matter of the table joins or the DAX expressions.
Thank you for your time!
Your measure seems good.
It will select only those products with a Product Category of "High" and multiply them by 1.5 to give you result. i.e. Give me the sum of all "High" Product category Price details multiplied by 1.5.
What you need to check is:
Product Serial Numbers match across the two tables
Your Product Category does indeed contain the category "High"
You have entries in FACT_PriceDetails that link to a DIM_Product_Type that has a category of "High"
Check you have not set any filters that could be hijacking your results (e.g. excluding the "High" product category product type or the realated fact/s)
Option-1
You can do some Transformation in Power Query Editor to create a new column new sales price with applying conditions as stated below-
First, Merge you Dim and Fact table and bring the Product Category value to your Fact table as below-
You have Product Category value in each row after expanding the Table after merge. Now create a custom column as shown below-
Finally, you can go to your report and create your Total Sales measure using the new column new sales price
Option-2
You can also archive the same using DAX as stated below-
First, create a Custom Column as below-
sales amount new =
if(
RELATED(dim_product_type[product category]) = "High",
fact_pricedetails[sales price] * 1.5,
fact_pricedetails[sales price]
)
Now create your Total Sales Amount measure as below-
total_sales_amount = SUM(fact_pricedetails[sales amount new])
For both above case, you will get the same output.
I've started to manage PowerBi from a couple of weeks so i'm a little bit confused about some things.
My problem is that i need a Matrix in my dashboard with percent values but i want the total in number value because the total of a percent of row shows me always 100% and i dont know about the number i'm working
This is my Matrix with percentage values
This is how i want the total of row returns me but with the columns values ins percentage
I've tried to make a measure counting the values
COUNT(OPSRespuestas[answer])
After that turn off the total of rows and add this measure to the values in my matrix but this is what i get
This is my table after trying add a measure with the total
It returns me the total for each of the columns and not the total of all my rows.
These are the tables i'm working with
This my top header values
This is my left header values
The answer column is what i need to count
This is my relationship between this 3 tables although i have many more intermediate table aside from this 3 as you're going to see in the next picture:
My relationship tables
So finally what i need is that this matrix shows me the total of answer in percentage for each of departments and group of questions and then show me total by department but with number value
The problem you are experiencing has to do with context. Each row is seen as it own total population hence the 100% total. Each column in this row is evaluated against the total of that row to provide a percentage value.
In addition to adding a custom measure to replace the total, you could also consider computing a percentage against the grand total of all dimensions. This means that each cell gets evaluated against the the total of all rows and columns. In this ways the cell value would change compared to your first table but the row total does not evaluate to 100% anymore.
SUM ( [Value] ) / CALCULATE ( SUM ( [Value] ) ; ALL ( 'Your Table' ) )
I have two columns of data, FTE REGION TOTAL AMOUNT and FTE REGION TOTAL FTE.
I want to calculate the cost per FTE by Region (by dividing the sum of the ActualExpensebyRegion column by the ActualFTEbyRegion column).
My divide formula below is not working
costperfte = DIVIDE(fteregiontotal[AMOUNT],fteregiontotal[FTE])
I know that Power BI will calculate the sum of each column, but how do I perform a calculation using those sums and divide by region.
Expected Outcome
Region Cost per FTE
------------------------------------
EMEA 7,049
APAC 2,178
LATAM 403,380
CAM 1,190
NALA 23,797
Create this measure:
Cost Per FTE by Region :=
VAR Numerator = SUM('fteregiontotal'[Amount])
VAR Denominator = SUM('fteregiontotal'[FTE])
RETURN
CALCULATE(DIVIDE(Numerator , Denominator ))
And use it in a matrix or table with your [Region] in the "Rows" field and the measure in the "Values" field.