I have two datasources as following:
Orders.csv
DepartmentID;Status;OrderID;Amount
1001;C;3;756,00
1002;B;4;45,00
1002;C;5;51,00
1003;A;6;321,00
1004;B;7;51,00
1004;C;8;21,00
Departments.csv
DepartmentID;DepartmentName;CostCenter
1001;Sales;10
1002;Accounting;20
1003;HR;30
1004;HQ;40
I have:
created a PowerPivot model with join on DepartmentID
defined a slicer Slicer_DepartmentName from the Departments table
defined a measure TotalAmount as SUM([Orders].Amount)
Now using Cube functions I want to get
CostCenter for DeparmentName selected by the slicer
Distinct statuses in Order table filtered by the slicer
The only solution I came up with are following
Cost Center:
CUBERANKEDMEMBER("ThisWorkbookDataModel";"EXISTS([Departments].[CostCenter].children,[Departments].[DepartmentName].[All].["&CUBERANKEDMEMBER("ThisWorkbookDataModel";Slicer_DepartmentName;1)&"])";1)
Statuses:
CUBERANKEDMEMBER("ThisWorkbookDataModel";"NONEMPTY([Orders].[Status].[ALL].children,([Measures].[TotalAmount],[Departments].[DepartmentName].[All].["&CUBERANKEDMEMBER("ThisWorkbookDataModel";Slicer_DepartmentName;1)&"]))";1)
changing the last parameter for the 1..3
I find my solution quite ugly and the "Statuses" part works only if there is only one DepartmentName selected in the slicer. Is there any better solution?
Related
In Excel connected to SSAS, I am trying to build a pivot table and add a custom Measure Calculation using "OLAP Tools" and/or "OLAP Pivot Table Exensions". I am trying to add a calculation that is really simple in my mind, but I cannot get it to work. The calc I need is:
GOAL: A record count of the [Items] dimension records grouped by any of the
[Items] dimension fields.
In particular I am trying to group by [Items].[Items Groups] and [Items].[Item]. Item is the lowest grain, so the count should return value "1". I have created a couple calculations that are kind of in the ballpark (see below). But the calcs don't appears to be working as desired.
What I have tried:
Attempt #1 -- [Measures].[Items Count (With net amount values)]
DISTINCTCOUNT( {[Items].[Item].MEMBERS} )
The calc 'Items Count (With net amount values)' appears to be
returning a decent count value, but it appears it only counts the Item
if there are transnational records found (not sure why). Also, when
at the lowest grain level the calc returns that value for the parent
group, not the dimension level selected on the rows.
Attempt #2 -- [Measures].[Items Count (All)]
[Items].[Item].[Item].Count
This calc returns the TOTAL item count for the entire dimension
regardless of the dimension level placed on the rows.
Attempt #3 -- [Measures].[Items Count]
COUNT ( { [Items].[Item].MEMBERS}, EXCLUDEEMPTY)
This calc freezes up Excel and I have to quit Excel. No idea why. I have seen this sytnax recommended on a few different sites.
Screenshot:
Help please? This seems really simple, but I am not very skilled with MDX. In DAX and SSAS TABULAR this would be very simple expression. But I'm struggling to count the rows with MDX in SSAS MD.
The "Outside Purchased Beef" group has 18 items with transactions, but 41 items in total. I do not know how to calculate the "41" value.
SSAS Excel-CalcMeasure-CountRows.png
Take a look at the following samples on AdventureWorks.
with member [Measures].[CountTest]
as
count(existing [Product].[Subcategory].members - [Product].[Subcategory].[All])
select
{
[Measures].[Internet Sales Amount],[Measures].[CountTest]
}
on columns,
{
([Product].[Category].[Category]
,[Product].[Subcategory].[Subcategory] -- comment this line for the second result
)
}
on rows
from [Adventure Works]
Now comment the indicated line for the parent view.
Using Power Pivot in Excel 2016
I have one dim table called "Roster" with 218 unique 'Employee Names' and other attributes for the employees
I have three fact tables called "Forecast," "Actual," and "Invoice," each with the related 'Employee Name' columns, in addition to many other attributes and values. I want a distinct count of 'Employee Name' across all three of those tables, depending on what I'd like to pivot them by in my pivot table, like 'Project' or 'Company.' I've read about counting across multiple columns from one table, but I'm trying to count across multiple tables.
When I create measure of:
Headcount:=calculate(DISTINCTCOUNT('Roster_Table'[Employee Name]),'Actual','Forecast','Invoice'), and throw it in my pivot table, I get a very small count of 14, which is probably the ones that are unique to only one of the three tables.
When I create measure of: Headcount:=DISTINCTCOUNT('Roster_Table'[Employee Name]), I get all 218
The true number should be around 170. Any ideas of how to make this work?
Thanks
Please try the following DAX calculation:
COUNTROWS(
DISTINCT(
UNION(
VALUES('Forecast'[Employee Name]),
VALUES('Actual'[Employee Name]),
VALUES('Invoice'[Employee Name])
)
)
)
I have a PowerPivot Data Model in Excel 2013. There are several measures that I have grouped into a named set using MDX - something like this:
{[Measures].[Sum of Value1],
[Measures].[Sum of Value2],
[Measures].[Sum of Value3]}
By using this named Set, I can place multiple measures on the rows or columns of an Excel PivotTable in a single action. My question is, is there any way using MDX (or DAX in the PowerPivot screen when working with the individual measures) to filter out or hide the entire set based on a single measure value (whether that measure is included in the set or not)? Preferably, I'm looking for a way to do this without including another member in the set (I.e. Not a measure).
Ror example, if the Sum of Value3 in the above example was zero, I'd want the entire set to be hidden from the pivot table.
I know I could edit the DAX in the Data Model to return BLANK() for each measure included in the set based on the value of another measure, but there may be times I want to show those measures in all cases. This would require writing at least 2 measures for every one I have now which I don't like the thought of doing.
UPDATE:
Sourav's answer looks great, but unfortunately won't work in my particular scenario, I believe, because I'm using the "Create Set using MDX" function (under the Manage Sets option in the Fields, Items, & Sets ribbon menu) within Excel. It will only let me write the MDX as:
IIF([Measures].[Sum of Value3]=0,
{},
{[Measures].[Sum of Value1],[Measures].[Sum of Value2],[Measures].[Sum of Value3]})
And once I add that new set to the PivotTable, it will still display all 3 measures for any members where [Sum of Value3] is 0.
I think I'm going to have to find an approach using DAX and the Excel Data Model measures.
UPDATE 2:
Below is a screenshot to help illustrate. Keep in mind the data source in my example is not an external cube, it's simply an Excel file linked in the Data Model against which MDX queries (with limitations?) can be run. In this example, I would like the set to return only Rows A and C because Sum of Value3 is not zero. However, as you can see, all rows are being returned. Thanks!
You can't choose to hide/unhide members/sets on the fly. Instead, you can use IIF to conditionally return an empty set
WITH SET MyNamedSet AS
IIF([Measures].[Sum of Value3] = 0,
{},
{[Measures].[Sum of Value1],[Measures].[Sum of Value2], [Measures].[Sum of Value3]}
Working example in AdventureWorks for #whytheq(DISCLAIMER - Cube was created by me for testing purposes)
with set abc as
iif([Measures].[Fact Internet Sales Count]>34229,
{
[Measures].[Fact Internet Sales Count],
[Measures].[Extended Amount - Fact Internet Sales]
},
{}
)
SELECT
abc
on 0
from [AdventureWorksDW]
where [Due Date].[Year].&[2004]
As you can see, the scope IS changing the results.
An alternative would be to create a dummy measure that returns null or 1 depending on your [Measures].[Sum of Value3]. Then multiply all other target measures by this dummy measure.
Here is an example of you scenario in AdvWrks:
SELECT
[Product].[Product Categories].[Category].[Components] ON 0
,{
[Measures].[Internet Sales Amount]
,[Measures].[Sales Amount]
,[Measures].[Standard Product Cost]
,[Measures].[Total Product Cost]
} ON 1
FROM [Adventure Works];
Returns this:
Adding the dummy measure and amending the other measures:
WITH
MEMBER [Measures].[isItZero] AS
IIF
(
[Measures].[Internet Sales Amount] = 0
,null
,1
)
MEMBER [Measures].[Sales Amount NEW] AS
[Measures].[Sales Amount] * [Measures].[isItZero]
MEMBER [Measures].[Standard Product Cost NEW] AS
[Measures].[Standard Product Cost] * [Measures].[isItZero]
MEMBER [Measures].[Total Product Cost NEW] AS
[Measures].[Total Product Cost] * [Measures].[isItZero]
SELECT
NON EMPTY //<<<<this is required
{
[Measures].[Internet Sales Amount]
,[Measures].[Sales Amount NEW]
,[Measures].[Standard Product Cost NEW]
,[Measures].[Total Product Cost NEW]
} ON 0
,{} ON 1
FROM [Adventure Works]
WHERE
[Product].[Product Categories].[Category].[Components];
Now this returns:
EDIT
According to your latest edit please just try this (I'm assuming you're using Excel 2013):
Create two new measures to replace two of the existing ones:
Name: "Sum of Value1 NEW"
Definition:
IIF
(
[Measures].[Sum of Value3] = 0
,null
,[Measures].[Sum of Value1]
)
Name: "Sum of Value2 NEW"
Definition:
IIF
(
[Measures].[Sum of Value3] = 0
,null
,[Measures].[Sum of Value2]
)
Now use only these three measures in your pivot and just use the ID dimension in a normal way on rows i.e. do not use the custom set you have already tried.
[Measures].[Sum of Value1 NEW]
[Measures].[Sum of Value2 NEW]
[Measures].[Sum of Value3]
Has ID B should now disappear?
i am using the powerBI tools (powerpivot) to create a data model. i am done the model. the model include the product, customer dimensions and sales fact table. i have made the relationship and hierarchy in the model. now i have a requirement to show the total revenue of all the customer who brought product 1,2,3.
for example customer A brought product 1 and product 5 and the total revenue from this customer is 50 so i want to show 50 as a result
customer B bought product 4 and i do not want to include this customer in my output.
i can do the same in microstratergy using relationship filter but how can i do the same in powerpivot or powerview or powerBI.
Please help
Thanks in Advance
In PowerPivot, relate Sales table with Customer table (Lookup table) and Relate Sales table to Product table (Lookup table).
Create following two measures
[HasPurchased X Products] =
OR (
OR (
CONTAINS ( Sales, Sales[ProductID], 1 ),
CONTAINS ( Sales, Sales[ProductID], 3 )
),
CONTAINS ( Sales, Sales[ProductID], 5 )
)
[DesiredMeasure] =
IF (
Sales[HasPurchased X Products] = TRUE (),
SUM ( [Amount] ),
BLANK ()
)
Select Customers in ROWS and add [DesiredMeasure] in VALUES, pivot table will show desired result.
Additionally to what Abhijeet said, which is a nice robust solution, you might also just filter the chart in Power View. Assuming you have a relationship between sales and products table, you can select the chart in Power View, open the Filters pane, select per chart filters, add Product to the chart filters and filter to include only productions 1,2,3. This will automatically calculate the measure. Now Abhijeet's solution is better if you need that calculation to be reused. This solution works great if you're in a 'what if' scenario where you'd like to say "what are the sales for products 1,2,3" and in another breath say "actually i'm interested in sales for products 2,3 only, so me that instead.".
HTH,
-Lukasz
http://dev.powerbi.com
http://blogs.msdn.com/powerbidev
I am connected to OLAP cube, I created a pivottable.
I would like to know if with the OLAP tool of excel is possible to calculate the number of distinct invoice number taking acount the current filters like year, country and region of the pivot table ?
I tried with Countdistinct it gives me the same result for each country.
DistinctCount([PO TYPE].[PO NUMBER].[PO NUMBER])
Try using COUNT instead:
Count(
Exists(
[PO TYPE].[PO NUMBER].[PO NUMBER].MEMBERS,
[Geography].[Country].CURRENTMEMBER,
"MeasureGroupName"
)
)
You need to replace "MeasureGroupName" with a measure group name in your cube