I have the following query which should be returning income split by country and date. It should also be including a count of the number of dates in the grouping. This would be useful for a calculation looking at an entire month of income/days. I'm finding that the calculated measure is causing all countries in the dimension to be returned regardless of if there's any income data for it. Is there any way to limit this so only countries with income are returned?
with
MEMBER [Measures].[group_day_count] as
COUNT(
Descendants(
[Date].[Date].currentmember, [Date].[Date].[Date]
)
)
SELECT NON EMPTY Hierarchize({DrilldownLevel({[Date].[Date].[All]},,,INCLUDE_CALC_MEMBERS)})
DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME,
[Date].[Date].[Date].[Date Sort] ON COLUMNS ,
NON EMPTY CrossJoin(Hierarchize({DrilldownLevel({[Source Location].[Country Code].[All]},,,INCLUDE_CALC_MEMBERS)}),
{[Measures].[group_day_count],[Measures].[income]})
DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME ON ROWS
FROM (SELECT ({[Date].[Date].&[2017-10-04], [Date].[Date].&[2017-10-05], [Date].[Date].&[2017-10-06], [Date].[Date].&[2017-10-07], [Date].[Date].&[2017-10-08], [Date].[Date].&[2017-10-09], [Date].[Date].&[2017-10-10]})
ON COLUMNS FROM [Placeholder])
CELL PROPERTIES VALUE, FORMAT_STRING, LANGUAGE, BACK_COLOR, FORE_COLOR, FONT_FLAGS
Try:
IIF([Measures].[Income],[Measures].[Days],NULL)
Related
I am executing the following MDX query in SSMS, which I have got from Profiler:
SELECT {
[Measures].[Dollar Amount],
[Measures].[Transaction Count]}
DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME ON COLUMNS,
NON EMPTY Hierarchize({DrilldownLevel({[Retail Sales Date].[Month].[All]},,,INCLUDE_CALC_MEMBERS)})
DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME ON ROWS
FROM [Retail Sales Cube]
WHERE ([Geography].[Retail Sales Location].[Country Name].&[Australia],[Retail Category].[Retail Category].[All])
CELL PROPERTIES VALUE, FORMAT_STRING, LANGUAGE, BACK_COLOR, FORE_COLOR, FONT_FLAGS
This produces the following results (snippet only):
The rows are months, and because of the method of retrieval, I need the months to also be displayed in a column.
So I tried this:
WITH
MEMBER [TheDate] AS [Retail Sales Date].[Month].CurrentMember.Name
SELECT {
[TheDate],
[Measures].[Dollar Amount],
[Measures].[Transaction Count]}
DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME ON COLUMNS,
NON EMPTY Hierarchize({DrilldownLevel({[Retail Sales Date].[Month].[All]},,,INCLUDE_CALC_MEMBERS)})
DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME ON ROWS
FROM [Retail Sales Cube]
WHERE ([Geography].[Retail Sales Location].[Country Name].&[Australia],[Retail Category].[Retail Category].[All])
CELL PROPERTIES VALUE, FORMAT_STRING, LANGUAGE, BACK_COLOR, FORE_COLOR, FONT_FLAGS
which would be fine, except that it also shows rows where there are null values, as follows:
I know there is NONEMPTY, but I don't know where I would put it. How can I get rid of the empty rows?
Perhaps the following expression would do the trick:
WITH
MEMBER [TheDate] AS
IIF( !isEmpty( [Dollar Amount] )
[Retail Sales Date].[Month].CurrentMember.Name,
null
)
In my product dimension, I have an attribute called CustomerRating which is a string. Possible values are "1", "2", "3", and "4".
I want to turn this attribute into a Measure that averages ratings for collections of products.
with member [Measures].[Product Rating] as
( [Product].[Project Name].CurrentMember.Properties("CustomerRating"))
select [Measures].[Product Rating] on columns
from [MyCube]
This query produces an error - I suspect because I'm dealing with a string.
How do I turn customer rating into a measure that is an average rather than a sum?
The best approach would be to add an int column to the source table of the dimension, maybe just as a named calculation in the DSV. Then you would add a measure group on the dimension table, and define a measure rating_sum that sums this column, and a count measure in this measure group.
Then define a calculated measure as rating_sum / count.
If everything works, make the two measures rating_sum and count invisible.
Not tested but I'm wondering if this errors?
WITH
MEMBER [Measures].[Product Rating] AS
CInt([Product].[Project Name].CurrentMember.Properties("CustomerRating"))
SELECT
{[Measures].[Product Rating]} ON COLUMNS
From [MyCube]
I am trying to calculate percentile (for example 90th percentile point of my measure) in a cube and I think I am almost there. The problem I am facing is, I am able to return the row number of the 90th percentile, but do not know how to get my measure.
With
Member [Measures].[cnt] as
Count(NonEmpty(
-- dimensions to find percentile on (the same should be repeated again
[Calendar].[Hierarchy].members *
[Region Dim].[Region].members *
[Product Dim].[Product].members
,
-- add the measure to group
[Measures].[Profit]))
-- define percentile
Member [Measures].[Percentile] as 90
Member [Measures].[PercentileInt] as Int((([Measures].[cnt]) * [Measures].[Percentile]) / 100)
**-- this part finds the tuple from the set based on the index of the percentile point and I am using the item(index) to get the necessary info from tuple and I am unable to get the measure part
Member [Measures].[PercentileLo] as
(
Order(
NonEmpty(
[Calendar].[Hierarchy].members *
[Region Dim].[Region].members *
[Product Dim].[Product].members,
[Measures].[Profit]),
[Measures].[Profit].Value, BDESC)).Item([Measures].[PercentileInt]).Item(3)**
select
{
[Measures].[cnt],
[Measures].[Percentile],[Measures].[PercentileInt],
[Measures].[PercentileLo],
[Measures].[Profit]
}
on 0
from
[TestData]
I think there must a way to get measure of a tuple found through index of a set. Please help, let me know if you need any more information. Thanks!
You should extract the tuple at position [Measures].[PercentileInt] from your set and add the measure to it to build a tuple of four elements. Then you want to return its value as the measure PercentileLo, i. e. define
Member [Measures].[PercentileLo] as
(
[Measures].[Profit],
Order(
NonEmpty(
[Calendar].[Hierarchy].members *
[Region Dim].[Region].members *
[Product Dim].[Product].members,
[Measures].[Profit]),
[Measures].[Profit], BDESC)).Item([Measures].[PercentileInt])
)
The way you implemented it, you tried to extract the fourth (as Item() starts counting from zero) item from a tuple containing only three elements. Your ordered set only has three hierarchies.
Just another unrelated remark: I think you should avoid using complete hierarchies for [Calendar].[Hierarchy].members, [Region Dim].[Region].members, and [Product Dim].[Product].members. Your code looks like you are including all levels (including the all member) in the calculation. But I do not know the structure and names of your cube, hence I may be wrong with this.
An alternate method could be to find the median of the last 20% of the records in the table. I've used this combination of functions to find the 75th percentile. By dividing the record count by 5, you can use the TopCount function to return a set of tuples that make up 20% of the whole table sorted in descending order by your target measure. The median function should then land you at the correct 90th percentile value without having to find the record's coordinates. In my own use, I use the same measure for the last parameter in both the Median and TopCount functions.
Here's my code:
WITH MEMBER Measures.[90th Percentile] AS MEDIAN(
TOPCOUNT(
[set definition]
,Measures.[Fact Table Record Count] / 5
,Measures.[Value by which to sort the set so the first 20% of records are chosen]
)
,Measures.[Value from which the median should be determined]
)
Based on what you've supplied in your problem definition, I would expect your code to look something like this:
WITH MEMBER Measures.[90th Percentile] AS MEDIAN(
TOPCOUNT(
{
[Calendar].[Hierarchy].members *
[Region Dim].[Region].members *
[Product Dim].[Product].members
}
,Measures.[Fact Table Record Count] / 5
,[Measures].[Profit]
)
,[Measures].[Profit]
)
I have a question and I haven't been able to find the answer (neither in this forum nor other) I am looking for:
I need to calculate the 25th Percentile, the median (the 50th percentile) and the 75th percentile.
Putting in another words: I need to write in the MDX query in SSRS for it to tell me which data is the 25th, the median and the 75th
All I was able to find so far was not the exact values of each one of them
thanks
I've been working on the same issue for my own data. The trouble I was having is in figuring out the Median() function. Here's how I interpret the parameters of the function:
Microsoft's definition:
MEDIAN(Set_Expression [, Numeric_Expression])
My interpretation:
Set_Expression is the set of values that define the grain to which the measure is summed before the median is evaluated
Numeric_Expression is the measure that is summed, which set of sums is then sorted and evaluated to find the median
In my case for finding the straight median across the entire data set, I didn't want to sum the values at all. To prevent any sums from being calculated, I used the key attribute for a dimension that had a 1-1 cardinality with the records in the fact table that contains the measure that I'm using. The only flaw I've seen so far is that sometimes the median returns a whole number when there are an even number of records and the mean of the two middle records should result in a number ending in .5. For example, the values of the two middle records are 16 and 17 and the function is returning 17 instead of 16.5. Since this is a minor flaw, I'm willing to overlook it for now.
This is what my calculation with the median function looks like:
WITH MEMBER Measures.[Set Median] AS MEDIAN(
[Dimension].[Key Attribute].MEMBERS
,Measures.[Non-summable Measure]
)
I used a combination of Median and TopCount to get the 75th percentile. I use TopCount to limit the set for the median to the second half of the data since TopCount sorts the data in descending order. I'll explain how I understand TopCount:
Microsoft's definition:
TopCount(Set_Expression, Count [, Numeric_Expression])
My interpretation:
Set_Expression is the set of values from which the desired number of tuples will be returned
Count is the number of tuples to return from the set
Numeric_Expression is the value that will be used to sort the set in descending order
I want the Median function to use the last half of the records in the fact table that are returned in the query, so I again use the key for the dimension table that has a 1-1 cardinality with the fact table and I sort it by the measure from which I want to find the median value.
Here is how I coded the member:
MEMBER Measures.[75th Percentile] AS MEDIAN(
TOPCOUNT(
[Dimension].[Key Attribute].MEMBERS
,Measures.[Fact Table Record Count] / 2
,Measures.[Non-summable Measure]
)
,Measures.[Non-summable Measure]
)
So far, this combination of functions has returned a true 75th percentile from my data set. To get the 25th percentile, I tried replacing TOPCOUNT in my code with BOTTOMCOUNT, which is supposed to do the same thing, only sorting the data in ascending order to use the first half of the records instead of the second half. Unfortunately, I haven't been able to get anything but NULL from this combination of functions, so I'm open to suggestions on how to get the 25th percentile.
This is how my final query looks:
SELECT
{
Measures.[Set Median]
,Measures.[25th Percentile]
,Measures.[75th Percentile]
} ON 0
,[Dimensional row members here] ON 1
FROM [Cube]
WHERE
[Non-axis dimensional filter members here]
I'm trying to write a query to give me the total number of users for each customer per day.
Here is what I have so far, which for each customer/day combination is giving the total number of user dimension entries without splitting them up by customer/day.
WITH MEMBER [Measures].[MyUserCount]
AS COUNT(Descendants([User].CurrentMember, [User].[User Name]), INCLUDEEMPTY)
SELECT
NON EMPTY CrossJoin([Date].[Date].Members, [Customer].[Customer Name].Members) ON ROWS,
{[Measures].[MyUserCount]} on COLUMNS
FROM
[Users]
The problem with your calculated member is that [User].CurrentMember is set to the All member for every row tuple, and thus the count is the total. What you need is a way for the [Customer].CurrentMember and [Date].CurrentMember to effectively filter the [User] dimension.
You need to use a measure that makes sense, i.e. that will have a non-empty value for meaningful joins of the dimension members that you're interested in.
To find this out, you could start by running a query like this:
SELECT
NON EMPTY CrossJoin(
[User].[User Name].Members,
[Measures].[Some measuse]
) ON COLUMNS,
NON EMPTY CrossJoin(
[Date].[Date].Members,
[Customer].[Customer Name].Members
) ON ROWS
FROM [Project]
You would have selected Some measure adequately. The results of that query will be a lot of empty cells, but in a given row, the columns that do have a value correspond to the Users that are related to a given Customer x Date tuple (on the row). You want to count those columns for every row. COUNT and FILTER are what you need, then the query with the calculated member will be
WITH MEMBER [Measures].[User count] AS
COUNT(
FILTER(
[User].[User Name].Members,
NOT ISEMPTY([Measures].[Some measure])
)
)
SELECT
NON EMPTY {[Measures].[User count]} ON COLUMNS,
NON EMPTY CrossJoin(
[Date].[Date].Members,
[Customer].[Customer Name].Members
) ON ROWS
FROM [Users]
I am assuming a fair bit here, but with some experimentation you should be able to work it out.