I have a FactPerson table, and within it I have a couple of decile columns and a PersonCount column. By default they have the sum aggregation assigned to it. With PersonCount the sum aggregation is correct, but i don't want the sum aggregation assigned to the decile column. I rather want to see the decile number and the personCount in that decile within the ssas browser.
Anyone know how to do that?
NOTE: I tried editing the decile column and changed it to no aggregation but it gives me a null back when I call it forward in the browser.
Assuming you are talking Multidimensional not Tabular, build a dimension off the FactPerson table and make the deciles dimension attributes only, not measures.
Related
I am currently attempting to use DAX queries to calculate the proportion of the balance attributed to each State in my analysis cube, from the following image:
I currently have a Sales table with a ReportDateKey that joins a ReportDate table that has a DateKey
If I use the following statement:
AllCurrentBalanceByDate:=CALCULATE([TotalCurrentBalance],ALLSELECTED())
It gives me the overall total, ignoring the date altogether, which is a useless figure.
If I enter the following query and display it in the excel spreadsheet:
AllCurrentBalanceByDate:=CALCULATE([TotalCurrentBalance],ALLSELECTED('Report Date'[Month]))
it is returning the same data as found in the Balance column. Again, useless. I need a total for each month, so that I can calculate the state balance / overall total for that month to get the proportion/percentage attributable to that State.
What am I doing wrong?
So if you want your measure to ignore whichever State is selected, you need to include the State columns in your ALL filter.
Also I suppose you want to use ALL instead of ALLSELECTED as your overall balance per month shouldn't be affected by external filters on state (but this depends on your use case)?
AllCurrentBalanceByDate:=CALCULATE(SUM([CurrentBalance]),ALL(Geography[StateName]))
I have a fact table that have 2 columns, 'timeInEventA', 'timeInEventB'. These columns store the difference in seconds between the actual ticket and the next ticket.
Ex: If I have a 'eventA' at 2020/01/04 05:00:00, and the next ticket is 2020/01/04 05:01:10 the column 'timeInEventA' in the first ticket will have the value '70'.
There is the possibility of the ticket have neither eventA, neither eventB, so the two values in the fact table row will be 0.
This difference is calculated in the ETL and stored in the Fact Table.
Problem: The client will filter the period by day. So he will choose 'between 2020/01/03 and 2020/01/05 give me the sum of timeInEventA and timeInEventB'. But was decided that the last ticket of the filter will be excluded because the next event is outside the filter range. So what I can do to exclude the last row register of the sum?
My fact table have these 2 measure columns, a surrogate key to date dimension (ex: 20200103 ), a surrogate key for time with minute granularity( Ex: event occurred 05:03:22 will result in a 0503 surrogate key ), and a surrogate key to the customer dimension.
PS: In the past, I had this problem for another situation and was suggested me to have a sum measure pointing to the measure column, a lastvalue measure pointing to the same column, and a derived calculation subtracts the lastvalue( MDX: Exclude a member that share same dimension property of a measure ).
But for this situation, this approach don't resolve. If my filter is 20200102 to 20200108, this approach will exclude all 20200108 values in the calculation.
Best Regards,
Luis
You need to define another measure with usage of last non empty value(This is done in the SSAS project, Cube structure tab->Define new measure). Then substract its value from your measure.
I am trying to sum every line in a table summarizing it by two fields in webi.
I have a table with the following columns:
Risk, Year, AssessedBy, Weight, Value.
I have filtered the table by Year = 2018 and Risk = "01". Thus, I only have the info for that year and that risk.
Each person assessing has a different weight in the final valuation by risk and year. What I have done is divide the assessing person's weight by the total sum of every Weight in the table [ sum(weight) in block ].
The problem is that when I delete the filter, the in block clause makes that the total sum of the weights changes to the total sum of the weights for every year in the table.
I would need something to calculate the total sum for each year and risk.
Just solved it! Just see Sumal Kunir answer: http://www.forumtopics.com/busobj/viewtopic.php?p=971131
=sum([Var_a] for each(Dimension;dimension)) In (Demension)
where var_a is the measure, foreach defines a background to base in and in defines the level at which you want to aggregate.
I have a multidimensional cube that needs a custom measure that I'm not sure how to build.
That data looks like this:
MemberID-----Date-------EventType
1--------------1/1/2016-------1
2--------------1/1/2016-------2
3--------------2/1/2016-------1
2--------------2/1/2016-------2
4--------------2/1/2016-------2
There is a count measure in the cube, but others can be added if needed. I need to create a measure that will use whatever filters the user applies and then count the EventType (1 and 2 only) by month, divide the resulting counts for EventType 1 into the count for EventType 2 (for each month individually), and finally sum the monthly results. For example 1/1/2016 would be 1/1=1 (count of EventType 1 and count of EventType 2) and 2/1/2016 would be 1/2=0.5 so the resulting measure value for the two months would be 1+0.5=1.5. Any help is greatly appreciated.
Let's assume you have a Date dimension with an attribute called Month. And let's assume you have an EventType dimension. And let's assume you have a count measure in your measure group called Cnt. Here's what else you need to do.
First, go to the DSV and add a new calculated column to the fact table which is called NullInt and is the following expression:
cast(null as int)
Then create a new Sum measure in your measure group off that column and call the measure My Rollup. Under the Source property, change NullHandling to Preserve so that it will start off null.
To explain why we're doing this, a scoped assignment to a physical measure will aggregate up. (If you assign a value to a physical measure at the grain of each month, then it will rollup to the grand total.) But a scoped assignment to a calculated measure doesn't roll up.
Then in your MDX script add the following calculations:
scope([Date].[Month].[Month].Members); //calculate at the month level then rollup
[Measures].[My Rollup] = DIVIDE(
([Event Type].[Event Type].&[1],[Measures].[Cnt]),
([Event Type].[Event Type].&[2],[Measures].[Cnt])
);
end scope;
Note that your version of SSAS probably has the DIVIDE function if it's AS2012 with the latest service pack or newer. But if it doesn't, you can always do division the old fashioned way as IIF(denom=0,null,num/denom).
By default, the SUM - sums up all the column values. But in my case, i am having a report which is grouped by Name. A name can have single offer with multiple start date's. So, a report has to display each entry for all different start date i.e Same name, offer, players only difference is the date. So for ex, when you sum up the players, only one entry per name needs to taken into account. Because, even though it has multiple start date, other entries are same and duplicated.
The expected result should be like,
The offer cost $10 refers to same $10, so it should be added only once. Similarly for players, etc., But i need the display as shown above, each entries should be shown.
How to solve this?
If all you want to do is avoid aggregating the value in the group total row, as in your example, just remove the aggregation from the expression, i.e. change:
=Sum(Fields!Players.Value)
to:
=Fields!Players.Value
This just returns the first Players value in the Scope - since it's the same value for every row this should be fine.
If you need to further aggregate this value to something like a grand total row, you have a couple of options.
For 2008R2 and above, you can use nested aggregates as an expression in the report - something like:
=Sum(Max(Fields!Players.Value,"MyGroup"))
For 2008 and below, you will need to add the aggregate value to each row in the Dataset and use this without aggregation in the report as required.
I haven’t worked with SSRS much but if this was a regular SQL query you would have to group by date range.
Try adding start date column and check if you can add another group by on top of what you already have.
It would be useful if you can provide more details here like table schema you use for retrieving the data.