I want to calculate sales for promotion using it's date. I need 3 measures, avg sales from 21 days before promotion start date, sales in between of promotion's start and end date, and sales from 21 days after promotion's end date.
Why Visual Studio highlights avg in code below?
CREATE MEMBER CURRENTCUBE.[Measures].[Sales in promotion]
AS Avg(Existing([Promotion].[Promotion name].[Promotion name]),[Measures].[Sales]), ...
Same in here:
CREATE MEMBER CURRENTCUBE.[Measures].[Sales before promotion]
AS (EXISTING([Promotion].[Promotion name].[Promotion name]), AVG(strtomember("[Date].[Date].&["+ [Promotion].[Date].currentmember.member_key+"]").lag(21) : strtomember("[Date].[Date].&["+ [Promotion].[Date From].currentmember.member_key+"]"),
[Measures].[Sales])) ...
If I do sum(existing()) in first measure, the sum is calculated correctly, but it doesn't allow me to get average.
EXISTING will only help if [Promotion] is part of your query in either the WHERE or SELECT clause. If it is not included in either of these clause then EXISTING will be finding 1 member - the All member.
You could try NonEmpty and maybe move the period logic into a custom set?
WITH
SET [PERIOD] AS
STRTOSET(
"[Date].[Date].&["+ [Promotion].[Date].currentmember.member_key+"].lag(21)
:
[Date].[Date].&["+ [Promotion].[Date From].currentmember.member_key+"]"
)
From the code you posted I cannot tell if you want a daily average or and average per promotion ? Say there were 2 promotions over the 21 days does this mean you want (Total/2/21) ?
Related
I've a question about a rolling distinct count. I'm trying to calculate the latest 30 weeks (210 days) from a specific date (eg. Specific date = 18-02-2019 distinct count from 23-07-2018).
I've found a website/blog where this is explained, https://radacad.com/datesinperiod-vs-datesbetween-dax-time-intelligence-for-power-bi. But in some weird way, my calculation is not working.
My DAX expression:
Aantal mutaties afgelopen 30 weken:=
CALCULATE(
DISTINCTCOUNT(FCT_KlantReis_Mutatie[Mutatie]);
DATESINPERIOD(
FCT_KlantReis_Mutatie[Mutatiedatum];
LASTDATE(FCT_KlantReis_Mutatie[Mutatiedatum]) ;-210;DAY)
)
But in Excel (and PowerBI) I get the following result:
The table is linked to a date dimension. My guess is that it must be posible, but how...
Thanks in advance for the help.
I need to compute the aggregate of Opportunities Count that are active at a time (which is defined by period between start date and closing date) Not just for that period but for over all...
Opportunities Count for 2016 should include the sum of opportunities from NULL : 2015 and those that are closed in 2016:NULL.
Same thing for month and year
I have the following query that works but is giving me incorrect results for quarter, Month, date level. But gives the correct results for Year. I guess it is because of non unique key names in both dimensions
with member [Measures].[cumulative_count]
as
aggregate({NULL:[Time Dimension].[Year-Qtr-Month-Date].currentmember.lag(1) } *
{LINKMEMBER([Time Dimension].[Year-Qtr-Month-Date].currentmember.lead(1),[Opportuntity Close Dt].[Year-Qtr-Month-Date]):NULL}
,[Measures].[Opportunities Count])
SELECT [Measures].[cumulative_count] on columns,
[Time Dimension].[Year-Qtr-Month-Date].[Month].members on rows
from
AdventCube
I guess I am running into an issue with ALL member as specified in the link
http://richardlees.blogspot.com/2011/06/linkmember.html
But to override the ALL member I am running into syntax errors. Could anyone please help?
I've created a new measure which uses [TotalSales] and 'SAMEPERIODLASTYEAR' to calculate the previous year's sales, see below:
=CALCULATE([TotalSales], SAMEPERIODLASTYEAR(Dates[Date]))
This all works fine if I create a pivot that displays individual dates (e.g. 01/01/2015) and then the new measure 'previous year sales' value next to it. My problem occurs when I want to change the pivot and display previous year sales by year, quarter or month - with any of these options I get no sales value.
I'm using a 'Dates' table which is linked to the Sales table.
Am I right in thinking I can re-aggregate sales in this way? I have seen an error message which says something about not been able to aggregate a non-contiguous value or date.
I've had a good look to see if anyone else has experienced the same problem, but can't see anything. Any guidance would be helpful.
Regards,
Martyn
Yes you can re-aggregate in this way. Your formula is correct would handles the changes to the aggregation level.
I would check that your 'Dates' table is marked as a date table. Ensure that the year, quarter & months are in this date table and not in your Sales table. Make sure that your date table has one record for each day between the beginning of your sales data set and the end. Check behavior in Power View if you are using Excel 2013.
I want to create a member based on this problem
I have a Product A being sold
I want to find the largest range of consecutive days without sale
example:
days 1,2,3 the product not sale, after that,it sold for 15 consecutive days, at 19th day it didnt sell for 2 days and after that it sold every day until the end of the month
so my maximum days without sale was 3
The following query delivers in the Microsoft sample cube Adventure Works what you want:
WITH Member Measures.[days without sales] AS
IIf( [Measures].[Internet Sales Amount] > 0
, 0
,(Measures.[days without sales], [Date].[Calendar].CurrentMember.PrevMember) + 1
)
Member Measures.[Max days without sales] AS
Max( [Date].[Calendar].[Date].Members
,Measures.[days without sales]
)
SELECT { [Measures].[Max days without sales] }
ON COLUMNS
FROM [Adventure Works]
WHERE [Product].[Product].&[486]
The measure days without sales is defined recursively, and returns how many days up to and including the current member of the [Date].[Calendar] hierarchy there was no sales. You may need to adapt the criteria for "without sale", bearing in mind that in MDX, numerical comparisons treat NULL as 0 - which is different from SQL.
This measure only works correctly if there is a member in this hierarchy for each day, i. e. there are no gaps in this hierarchy. And actually, the definition is more general than just working for days: If you use months for the [Date].[Calendar].CurrentMember, it would give you the number of months without sales, etc. It works with each level of the hierarchy.
The measure Max days without sales does not contain the product in its definition, it delivers the maximum days for whatever is in context (in this case the product in the WHERE clause).
Please note that - as actually there is a loop over all days in the [Date].[Calendar] hierarchy when calculating Measures.[Max days without sales], and within that the recursion again iterates along the previous days, and all this for each cell in the result set - this may be slow for large reports.
I'm having a bit of trouble accomplishing something that I think should be relatively straightforward in MDX. I would like to create a calculated member that provides a sum of one of my measures over the previous two weeks at a given point in time. My time dimension looks like:
TimeId TradingDate Day of Week
-----------------------------------
1000 11/1/2012 Thursday
1001 11/2/2012 Friday
1002 11/5/2012 Monday
1003 11/6/2012 Tuesday
... ...
What makes this particularly difficult is that my Time dimension is not quite complete. The members of my Time dimension only correspond to trading days in the stock market, and not all time. This means that weekends, holidays, or any other day in which the stock market is closed are excluded. This also means the normal methods of traversing time such as LAG or PARALLELPERIOD will not work quite right here. LAG(14), for example, means "14 trading days", which at any given point could represent a variable length of actual time.
Inside my calculated member, I'm attempting to use FILTER in order to get only time members that are within the previous two weeks of the CurrentMember. However, I can't seem to figure out the proper syntax (if there is one) to accomplish this. I imagine it would be something like:
WITH MEMBER [Sum of Price Previous 2 Weeks] AS
SUM(
FILTER(
[Time].[TimeId].Children
, [Time].[TradingDate].MemberValue
>= VBA!DATEADD("ww", -2, [Time].[TradingDate].CurrentMember.MemberValue)
)
, [Price]
)
However, this doesn't quite work. I can't seem to separate the context of the calculated members current iteration from what would be a separate context inside of the FILTER function. In other words, I'm not sure how to say:
"When iterating over the set inside of FILTER, compare the current
member of each iteration against the value of the CurrentMember in
the scope of the calculated member"
Is what I'm trying to accomplish even possible? Is there a different approach I could be taking to accomplish what I'm after?
The result you'll get from a calculated member will depend on the axis of your query. So first, make sure you have [Time].[TradingDate] in your axis.
Second, your [Time].[TradingDate] hierarchy should be ordered by Key (I assume TradingDate is the key).
Now you can use this member definition:
WITH MEMBER [Sum of Price Previous 2 Weeks] AS
SUM(
[Time].[TradingDate].CurrentMember.Lag(14):[Time].[TradingDate].CurrentMember, [Price]
)
You can use set aliases to refer to the outer CurrentMember in the Filter context:
WITH MEMBER [Sum of Price Previous 2 Weeks] AS
SUM(
GENERATE([Time].[TradingDate].CurrentMember AS CurrentDateAlias,
FILTER(
[Time].[TimeId].Children
, [Time].[TradingDate].MemberValue
>= VBA!DATEADD("ww", -2, CurrentDateAlias.Item(0).MemberValue)
)
)
, [Price]
)
GENERATE is used just to define the alias somewhere.