Power Bi: how to parameterize Top N visual level filter [duplicate] - filter

This question already has answers here:
Power Bi: Top N visual level filter as Measure
(2 answers)
Closed 6 months ago.
Since PowerBI don't support Top N filter on page level,
I want to use N as a parameter to change it at once per multiple visuals.
Is it possible?
P.S.In this video (9:15) solution for more complex case is provided.
In the end of this article sample file available

Using the sample dataset, insert a new parameter.
Add a measure as follows:
Measure =
IF(
SELECTEDVALUE('Product'[Product Name]) IN
SELECTCOLUMNS(
TOPN(
[Parameter Value],
ADDCOLUMNS( ALLSELECTED( 'Product'),"#Sales", [Sales Amount] ),
[#Sales]
),
"x",
'Product'[Product Name]),
1)
Every visual you want affected by the TopN should have this filter.
That's it.

From usability perspective it's preferable to return Sales Rank in measure.
Solution below is a copy/paste from SQLBI experts solution with minimal code changes ( ALLSELECTED ( 'Product'[Product Name] ) replaced by ALLSELECTED ( 'Product' ) ):
rnkSales =
IF (
ISINSCOPE ( 'Product'[Product Name] ),
VAR ProductsToRank = [TopN Value]
VAR SalesAmount = [Sales Amount]
RETURN
IF (
SalesAmount > 0,
VAR VisibleProducts =
FILTER( -- filters out data with no sales
CALCULATETABLE (
VALUES ( 'Product' ),
ALLSELECTED ( 'Product') -- Use this if VisualFilterTopN equivalent required
//ALLSELECTED ( 'Product'[Product Name] ) -- Original code - returns TopN per dimension
),
NOT ISBLANK( [Sales Amount] ) -- looks more universal then [Sales Amount]>0 (if calculation for Margin required, it could be negative)
)
VAR Ranking =
RANKX (
VisibleProducts,
[Sales Amount],
SalesAmount
)
RETURN
IF (
Ranking > 0 && Ranking <= ProductsToRank,
Ranking
)
)
)

Related

Microsoft Power BI - DAX Time Intelligence measure - change context to reflect proper % change; non-YTD measures

I have a Power BI visual as below. There are 3 matrices. I have a DateDimension (or) Calendar table called Dates2.
I use two measures, one a regular measure (called 'Count'), the other a parallel period comparison of the measure (called 'Count_PreviousYear'). I use SAMEPERIODLASTYEAR DAX function for the latter.
1)
Count = COUNTA(TableX[ColumnY])
--Measure with name 'Count'--
2)
Count_PreviousYear = CALCULATE
(
[Count],
SAMEPERIODLASTYEAR(Dates2[Date])
)
--Measure with name 'Count_PreviousYear'
--this measure uses Time Intelligence function - SAMEPERIODLASTYEAR--
Both 'Count' and 'Count_PreviousYear' (obviously) are not YTD (YearToDate) values.
A third measure for the percentage change across periods is computed as below:
3)
PercentageChange = IF(
ISBLANK([Count]) || ISBLANK([Count_PreviousYear]),
BLANK(),
(([Count] - [Count_PreviousYear])/[Count])
)
Kindly ignore the fact that a keyword used as a measure name;
I have used the name 'Count' only for clarity; in my actual report,
I have proper names
The % change measure works fine, but one issue:
For the period change from 2020 to 2021, i.e. in the third row of the last matrix (for the row value 2021), the total (i.e. the % change value) is not appropriate.
I need to replace -737.21% with - 23.98 %.
This is because , I need to compute the Total for 2020, only by adding the values for the months of January and February, i.e. 428 + 430 = 858. (not 5794, which is for all the 12 months).
Since 2021 has only two months - January and February, I don't want to compare two months of 2021, with all the 12 months of 2020. Rather, I want two months of 2021 to be compared with the corresponding 2 months of 2020.
Essentially I need {(692-858)/692} * 100 = -23.98%
Currently, I see {(692-5794)/692} * 100 = -737.21%
Can someone help me achieve this?
Count Previous Year =
IF (
HASONEVALUE ( Dates2[Month] ),
IF (
[Count] <> BLANK (),
CALCULATE ( [Count], SAMEPERIODLASTYEAR ( Dates2[Date] ) )
),
IF (
HASONEVALUE ( Dates2[Year] ),
CALCULATE (
[Count],
DATESBETWEEN (
Dates2[Date],
EDATE ( MIN ( Dates2[Date] ), -12 ),
EOMONTH ( MAX ( [FactTable[Date] ), -12 )
)
)
)
)
Count_PreviousYear = IF (
(HASONEVALUE(Dates2[Year]) = TRUE && HASONEVALUE(Dates2[MonthName]) = TRUE),
CALCULATE
(
[Count],
SAMEPERIODLASTYEAR(Dates2[Date])
),
IF (
(HASONEVALUE(Dates2[Year]) = TRUE && HASONEVALUE(Dates2[MonthName]) = FALSE),
CALCULATE (
[Count],
DATESBETWEEN (
Dates2[Date],
EDATE (MIN(Dates2[Date]), -12),
EOMONTH (MAX(SourceData[Date]), -12)
)
),
BLANK()
)
)
!Output obtained as desired]1

How to modify DAX ALLEXCEPT to allow filtering

I have a Table called Tracking, as shown below:
Category
Item Id
Work Date
A
1
1/1/2020
B
1
2/1/2020
C
1
3/1/2020
D
1
4/1/2020
A
2
7/1/2020
B
2
8/1/2020
C
2
9/1/2020
D
2
10/1/2020
Using the below measure, I can get Maximum Work Date from the above Table.
maxWorkDate =
CALCULATE (
MAX ( 'Tracking'[Work Date] ),
ALLEXCEPT (
'Tracking',
'Tracking'[Item Id]
)
)
For Item 1, the maximum work date is 4/1/2020 and for Item 2, the maximum work date is 10/1/2020.
I want to get maximum work date by Excluding Category D. So, For Item 1, the maximum work date should be 3/1/2020 and for Item 2, the maximum work date should be 9/1/2020.
I would like to exclude category D within the measure or I can also exclude it in Visual Filters. Please advise. Thanks
It's possible to implement the measure with a filter expression 'Tracking'[Category] <> "D" like follows
maxWorkDate =
CALCULATE(
MAX( 'Tracking'[Work Date] ),
REMOVEFILTERS( 'Tracking' ),
VALUES( 'Tracking'[Item Id] ),
'Tracking'[Category] <> "D"
)
This is what FILTER is for:
maxWorkDate =
CALCULATE (
MAX ( 'Tracking'[Work Date] ),
FILTER (
ALLEXCEPT (
'Tracking',
'Tracking'[Item Id]
),
'Tracking'[Category] <> "D"
)
)

DAX ALLEXCEPT ignores Filter Context?

Need a Quarter-To-Date measure when a fiscal calendar is being used. Thought the following would work:
QTD =
CALCULATE (
[Total Amount],
FILTER (
ALLEXCEPT ( 'Calendar', 'Calendar'[FiscalYear] ),
'Calendar'[FiscalQuarter] = MIN ( 'Calendar'[FiscalQuarter] )
&& 'Calendar'[Date] <= MAX ( 'Calendar'[Date] )
)
)
However, even though the ALLEXCEPT function is saying NOT to "reset" the [FiscalYear] column, the measure is being calculated without regard to the fiscal year of the pivot coordinates. So the formula only works for the first fiscal year.
Anybody have any idea why the formula doesn't work as I anticipated?
TIA
Found a relevant thread on powerbi.com (link here), and I kinda sorta understand.
It seems that when you use the FILTER function with a date table it automatically applies an ALL() and you lose the filter context.
For my QTD formula the following works correctly:
CALCULATE(
[Total Amount],
FILTER(
ALL( 'Calendar' ),
'Calendar'[FiscalYear] = MIN( 'Calendar'[FiscalYear] )
&& 'Calendar'[FiscalQuarter] = MIN( 'Calendar'[FiscalQuarter] )
&& 'Calendar'[Date] <= MAX( 'Calendar'[Date] )
)
)
Please reply if you know of a simpler formula. The fiscal quarter ends, btw, do NOT align with the calendar quarter ends.

Count how many sub-activities were created based on an activity

I have a dimension that stores workflows(cases, subcases). I would like to do a count of how many subcases are created for each case.
Workflow Dimension
Workflow
------------------------------
Case Number WorkflowType
------------------------------
10 Case
20 Case
30 Case
20-1 Subcase
20-2 Subcase
20-3 Subcase
10-1 Subcase
The desire output I would like is, for every case count how many subcases were created.
Workflow
------------------------------------------------
Case Number WorkflowType CountOfSubcases
------------------------------------------------
10 Case 1
20 Case 3
30 Case 0
------------------------------------------------
Total 4
I have a current dax measure that works, but the total at the bottom does not show when looking at multiple rows, only display when one case is selected.
Total Subcases =
VAR CC = FIRSTNONBLANK ( Workflow[Case Number], 1 )
RETURN
COUNTX (
FILTER (
ALL( Workflow ),
SUBSTITUTE ( Workflow[Case Number], RIGHT ( Workflow[Case Number], 2
), "" )
= CC
&& Workflow[WorkflowType] = "SubCase"
),
Workflow[WorkflowID]
)
If anybody could help me tweak my measure or present with a new measure, that would be great.
Note: I'm pointing my report to Analysis Services.
Thanks in advance.
You can fix your measure as follows:
Total Subcases = 0 +
COUNTX (
FILTER (
ALL( Workflow ),
SUBSTITUTE ( Workflow[Case Number], RIGHT ( Workflow[Case Number], 2 ), "" )
IN VALUES( Workflow[Case Number] )
&& Workflow[WorkflowType] = "SubCase"
),
Workflow[WorkflowID]
)
The VALUES function returns a list of all the values in the current filter context instead of just the one you were picking before.
Note: To make things easier to work with, I'd suggest splitting the Case Number column into two columns in the query editor stage. Then you don't have to work with all the string manipulation.
Edit: Note that x IN <Table[column]> is equivalent to the older CONTAINS syntax:
CONTAINS(Table, [column], x)
So if you can't use IN then try this formulation:
Total Subcases = 0 +
COUNTX (
FILTER (
ALL( Workflow ),
CONTAINS(
VALUES( Workflow[Case Number] ),
Workflow[Case Number],
SUBSTITUTE ( Workflow[Case Number],
RIGHT ( Workflow[Case Number], 2 ), "" )
)
&& Workflow[WorkflowType] = "SubCase"
),
Workflow[WorkflowID]
)

Calculating payback period using DAX

I'm working on some calculations for capital budgeting, and I have the following two tables in my data model
I'm trying to build out a calculated column in DAX to determine the payback period for each project in the Project table. I've put together the calculation here, I'm just not sure exactly how to execute this in DAX.
Logical Steps for Calculating Payback Period:
For each Project, find the cumulative sum for each date for relevant metrics (Include OpEx Savings and OpEx Implementation Cost, but not Revenue or Working Capital)
Find the MIN date where cumulative sum is greater than zero (the "break-even" date")
Find the MIN date with non-zero implementation cost ("Investment date")
Find the difference (in months) between #2 and #3 to determine payback period
EDIT:
The answer for the listed project is 7 months. I've built an intermediate table in Excel to develop the answer, but I'd like to be able to do this directly in a PowerPivot table with DAX.
I've produced this as a solution:
Create values, which makes sure cost are - and savings are + (ValCorr)
Create a running sum (RunningSum)
Find Investment Date (InvestmentDate)
Find Breakeven Date (BreakEvenDate)
Find Difference (Payback)
DAX:
RunningSum =
CALCULATE(SUM(Impacts[ValCorr]);
FILTER(
ALL(Impacts);
Impacts[ProjectID] = EARLIER(Impacts[ProjectID]) &&
Impacts[Date] <= EARLIER(Impacts[Date])
))
InvestmentDate =
CALCULATE (
FIRSTNONBLANK ( Impacts[Date]; 0 );
FILTER ( ALL ( Impacts ); Impacts[RunningSum] <> 0 )
)
BreakEvenDate =
CALCULATE (
FIRSTNONBLANK ( Impacts[Date]; 0 );
FILTER ( ALL ( Impacts ); Impacts[RunningSum] > 0 )
)
Payback = DATEDIFF(Impacts[InvestmentDate];Impacts[BreakEvenDate];MONTH)
Result:
Good luck!
After a fair amount of trial and error, I came up with a solution.
Step 1: Build out a helper metrics table. This serves 2 purposes: (a) excludes irrelevant metrics (like revenue), and (b) ensure costs are negative and savings are positive.
Metrics Table
Step 2: Build 2 helper measures that will go into the virtual, summarized, intermediate table.
CumulativeTotalMetric :=
CALCULATE (
SUMX (
Impact,
Impact[Latest Estimate Monthly Values]
* RELATED ( BaseMetrics[Payback Period Multiplier] )
),
FILTER ( ALL ( Impact[Month] ), Impact[Month] <= MAX ( Impact[Month] ) )
)
TotalMetric :=
SUMX (
Impact,
Impact[Latest Estimate Monthly Values]
* RELATED ( BaseMetrics[Payback Period Multiplier] )
)
Step 3: Create the final measure that creates the virtual table (BaseTable), and performs logical operations on it to arrive at the final payback period.
Payback Period (Years) :=
VAR BaseTable =
ADDCOLUMNS (
SUMMARIZE ( Impact, Impact[initiative #], Impact[snapshot], Impact[Month] ),
"Cumulative Total Impact", CALCULATE ( [CumulativeTotalMetric] ),
"Total Impact", CALCULATE ( [TotalMetric] )
)
VAR LastCumulativeLossDate =
MAXX ( FILTER ( BaseTable, [Cumulative Total Impact] < 0 ), [Month] )
VAR BreakEvenDate =
MINX (
FILTER (
BaseTable,
[Month] > LastCumulativeLossDate
&& [Cumulative Total Impact] > 0
),
[Month]
)
VAR InitialInvestmentDate =
MINX ( FILTER ( BaseTable, [Total Impact] < 0 ), [Month] )
RETURN
IF (
OR ( ISBLANK ( InitialInvestmentDate ), ISBLANK ( BreakEvenDate ) ),
BLANK (),
( BreakEvenDate - InitialInvestmentDate )
/ 365
)
This last meaure is pretty complicated. It uses progressive, dependent variables. It starts with the same base table, and defines variables that are used in subsequent variables. I'm no DAX expert, but I suspect using these variables helps with the calculation efficiency.
EDIT: I should note that I didn't use this measure as a calculated column -- I simply used it in a pivot table which is the same "shape" as the "Projects" table above -- one line per project / initiative.

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