I am facing this problem that I cannot solve.
I have this virtual table in power bi Desktop (made in excel just for you) where the last column should give me as a subtotal the sum of the TOTAL column, instead it gives me the multiplication between AVAILABLE * AVERAGE PRICE as it is the formula used for each row
I list the formulas I used:
AVERAGE PRICE = divide (SUMX (zzzAcqVen1, zzzAcqVen1 [ACQ AMOUNT AT COST]), SUMX (zzzAcqVen1, zzzAcqVen1 [QUANTITY PURCHASED]))
AMOUNT INPUT = SUM (zzzAcqVen1 [Q. INPUT]) * [AVERAGE PRICE]
https://i.stack.imgur.com/OJjY1.jpg
in red the wrong result
in green right result
Thanks everyone
Hello You can use this measure:
Calculate the AVERAGE_PRICE as Calculated Column.
AVERAGE_PRICE =
DIVIDE ( [ACQ AMOUNT AT COST], [QUANTITY PURCHASED] )
Then Calculate the AMOUNT_INPUT AS measure;
AMOUNT_INPUT = SUMX(zzzAcqVen1, [Q. INPUT] * [AVERAGE_PRICE] )
Related
I have this visual in power bi dashboard
I want to display the sum of all the positive values in the Margin column on the Card and the negative values in the Margin Column on another Card.
First Card is 185.64 and the second card is -375.39
Create these 2 measures and put them on card visuals:
Pos Margin =
CALCULATE(
SUM('Table'[Margin ]),
'Table'[Margin ] >= 0
)
Neg Margin =
CALCULATE(
SUM('Table'[Margin ]),
'Table'[Margin ] < 0
)
I have data in the following format:
Category1
Category2
Category3
...
Amount
A
D
X
...
2
A
E
X
...
5
A
E
Y
...
1
B
D
Z
...
10
B
F
X
...
2
I want to be able to show (in a card, probably) the amount of Category1 with value A (this category has only 2 values) as a percentage of all. But I have slicers/controls on all the other categories and I want this to reflect the values set on those at any time. There are quite a few categories.
For example, when no controls are applied, the sum of amounts with Category1=A is 8 and the overall total is 20, so the percentage would be 40%. With Category3 set to 'X', the sum of Category1=A is 7 and the overall total is 9, so the percentage would be 78%. But I want this to work with any combination of one or more slicers over many categories.
I've found this on SO - Percentage value of a segment against segment total Power BI(DAX) - and tried creating a helper column to give the Amount where Category1=A and 0 if not. I've then tried to create a measure, using (pseudocode):
%Amount = DIVIDE ( SUM ( Table[HelperColumn] ), CALCULATE ( SUM (Table[Amount]), ALLEXCEPT(Table[Category1]) ) )
but it's showing 0%.
I'm new to Power BI and DAX and trying to replicate something I've done in another system, so I don't really understand what that formula is doing and I'm not really sure where to go from here.
I created 2 dax:
First is numerator(used to calculate stack amount based on probability of all 3 categories)Please refer SS attached
numerator =
var cat3Selected = SELECTEDVALUE(Stack[Category3])
var cat2Selected = SELECTEDVALUE(Stack[Category2])
var cat1Total =
CALCULATE(
IF(and(ISBLANK(cat2Selected),ISBLANK(cat3Selected)),
sum(Stack[Amount]),
IF(and(not(ISBLANK(cat2Selected)), not(ISBLANK(cat3Selected))),
CALCULATE(SUM(Stack[Amount]),Stack[Category2] = cat2Selected && Stack[Category3]=cat3Selected),
IF(NOT(ISBLANK(cat2Selected)),
CALCULATE(sum(Stack[Amount]),Stack[Category2]=cat2Selected),
CALCULATE(sum(Stack[Amount]),Stack[Category3]=cat3Selected)
)
))
)
return cat1Total
Second (Denominator ) is used to calculate stack amount for all category
*Denominator = CALCULATE(SUM(Stack[Amount]),ALL(Stack[Category1]))*
& then calculate % ,
*Percentage = DIVIDE(Stack[check msr],[normal all mSR],0)*
attached some screenshot for your reference:
I have a matrix, in which there is a measure that calculates month on month progress in a column called progress
This is the code for it:
Progress =
VAR diff =
CALCULATE(SUM('forecasting'[forecast]),PARALLELPERIOD('forecasting'[month],-1,MONTH))
RETURN SUM('forecasting'[forecast]) - diff
I need to calculate where the monthly change has been allocated across items as a percentage with the following formula:
(individual forecast value / sum of calculated progress measure for whole month) * 100
How can I use the total progress measure across the whole month? I've tried using a SUMX(), as seen below, but this didn't work and many values came to 100. Is is even possible to do this?
Change =
VAR Total =
SUMX('forecasting', 'forecasting'[Progress])
RETURN ((forecasting[Progress] / Total) * 100)
Try this:
Change =
VAR Total =
CALCULATE(forecasting[Progress],FILTER(ALLSELECTED(forecasting),'forecasting'[month] = SELECTEDVALUE('forecasting'[month])))
RETURN ((forecasting[Progress] / Total) * 100)
I have a measure " realiseret ratios %". It calculates the allocation of cost in % but when I filter out some variables like 105 in left column then it recalculates the ratio and i goes beyond 100%. the ratio market with red must never surpass 100%. picture 1 is with no filter(including 105) and picture 2 is with filter(excluding 105)
The code for the measure is:
realiseret ratios %:= Var Income =
CALCULATE(
[Project Cost Amount],
All(Art),Art[Type]= "I"
)
Var Expense =
CALCULATE(
ABS([Project Cost Amount]) )
return Divide(If(ISBLANK(Expense), Blank(), Expense) , Income,Blank())
Art type "I" is all our revenue. and "199 omsætning" is the revenue in left column
I’m trying to represent some continuous data via binning. Continuous weighting data of an area should be binned as: VeryHigh, High, Low, VeryLow. The weighting values are based on an interaction between certain Types of events grouped by an Area and so can change depending on the Type selected by the report user.
I have included some sample data below and an outline of what’s been done so far.
Start with five sets of area data (A-E). Within each is one or more incident Types. Each incident has a Weighting and the number of times (Count) it occurs within the Area.
Add a calculated column CC_ALL_WGT (weighting * count)
Create a measure:
M_WGT = DIVIDE(SUM(sample_data[CC_ALL_WGT]), SUM(sample_data[4_count]))
This makes sense once grouped by Area and we can see that the Area gets an overall Weighting Score
This can be altered by slicing the data based on which Type of incident we wish to inspect:
We can also set up additional measures to get the Min; Max; Median from the Measure based on the Type selection:
M_MIN_M_WGT = IF(
countrows(values(sample_data[1_area])) = 1,
sample_data[M_WGT],
MINX(
values(sample_data[1_area]),
sample_data[M_WGT]
)
)
Which change as expected when a Slicer selection is made
Also set up a measure to determine the Mid-Point between the Minimum and the Median and Mid-Point between the Maximum and the Median
M_MidMinMed =
sample_data[M_MED_M_WGT] - ((sample_data[M_MED_M_WGT] - sample_data[M_MIN_M_WGT]) / 2)
What I would like to do with these values is create a banding based on the following:
VeryLow: (Minimum to MinMed mid-point)
Low: (MinMed to Median)
High: (Median to MedMax mid-point)
VeryHigh: (MedMax to Maximum)
So based on the following selection
The bins would be set up as follows
VeryLow (0.59 to 0.76)
Low (0.76 to 0.93)
High (0.93 to 1.01)
VeryHigh (1.01 to 1.1)
Area A would be in Bin 4 (VeryHigh); Area B in Bin 2 (Low); Area C in Bin 1 (VeryLow); Area D in Bin 2 (Low); Area E in Bin 4 (VeryHigh)
If select specific Types to review (via the slicer) the bins would be set up as follows:
VeryLow (0.35 to 0.61)
Low (0.61 to 0.88)
High (0.88 to 1.06)
VeryHigh (1.06 to 1.24)
So checking M_WGT (with types specified in the slicer):
Area A would be in Bin 4 (VeryHigh); Area B in Bin 2 (Low); Area C in Bin 1 (VeryLow); Area D in Bin 1 (VeryLow); Area E in Bin 4 (High)
NOTE - The change in bin classification for Area D from Low to VeryLow
This is where I get stuck. This post specifies how to apply a static bin range: https://community.powerbi.com/t5/Desktop/Histogram-User-defined-bin-size/m-p/69854#M28961 but I’ve not been able to do this using dynamic or changing values (the Min; Max; Media; Midpoint) depending on selection.
The closest I’ve managed to apply is as follows:
Range =
VAR temp =
CALCULATE ( sample_data[M_WGT] )
RETURN
IF (
temp < 0.76,
"1_VeryLow",
IF (
AND ( temp > 0.76, temp <= 0.93 ),
"2_Low",
IF (
AND ( temp > 0.93, temp <= 1.01 ),
"3_High",
"4_VeryHigh"
)
)
)
Which permitted the following:
While I can then associate the Bins with a visual there are a number of things wrong with it. Firstly binning is occurring at the TYPE level not the AREA level. Secondly I’m manually setting the range values.
When I say Type levels what I mean is that they’re being binned at this level:
Whereas what I would like the histogram to be representing are the M_WGT values at the Area level.
If I slice by Area A only the problem is easier to see:
What would I like is for there to be one representation of Area A in the histogram (the bin for 1.10), not the three currently being shown (for each Type 1.9; 1; 0.35)
Hopefully I’ve managed to convey the problem and requirement.
Appreciate any advice or insight.
EDIT:
Link to Report + Data source is here: https://www.dropbox.com/sh/oganwruacdzgtzm/AABlggr3-xqdMvPjuR9EyrMaa?dl=0
You can define the bucket for an area all in a single measure:
Bucket =
VAR Weights =
SUMMARIZE ( ALLSELECTED ( sample_data ), sample_data[1_area], "Wgt", [M_WGT] )
VAR MinW = MINX ( Weights, [Wgt] )
VAR MaxW = MAXX ( Weights, [Wgt] )
VAR MedW = MEDIANX ( Weights, [Wgt] )
VAR MinMedW = ( MinW + MedW ) / 2
VAR MedMaxW = ( MedW + MaxW ) / 2
VAR CurrW = CALCULATE( [M_WGT], ALLSELECTED( sample_data[2_type] ) )
RETURN
SWITCH (
TRUE (),
CurrW <= MinMedW, "1_VeryLow",
CurrW <= MedW, "2_Low",
CurrW <= MedMaxW, "3_High",
CurrW <= MaxW, "4_VeryHigh"
)
This summarizes the weights over everything within your filter selections (ALLSELECTED) and then defines your boundaries as you specified. Then we calculate the weight for the current area across all selected types and pass that into the switch where we check the values from low to high.
Now you can't use a measure as an axis for a chart so if you want these buckets on the axis, I'd recommend defining an independent table.
Ranges =
DATATABLE (
"Range", STRING,
{
{ "1_VeryLow" },
{ "2_Low" },
{ "3_High" },
{ "4_VeryHigh" }
}
)
Put Ranges[Range] on the axis and define a counting measure as appropriate.
CountArea =
COUNTROWS ( FILTER ( sample_data, [Range] = SELECTEDVALUE ( Ranges[Range] ) ) )
I don't really know what you're trying to count, whether it should be a distinct count, or if 4_count should be involved or not but modify this counting measure as necessary.