Analysis :: Calculation On Row Level / If Value Is Above Or Less Than Average
Aug 3, 2015
I have a set of data and calculated already the average of a specific measure, incl. the Standarddeviation of this measure. Now I want to create a average measure of the values on row level which arehigher than [Avg]-[StdDev] AND lower of [Avg]+[StDev].As far as I understand I have to check on Rowlevel, which means on Date and Brand Level, if the value of the measure is above or lower than the Mean +/- StdDev.
which leads to a wrong result. This one counts all rows if true.With Descendants I got a #Value-Error, probably because I did not understand how the calculations work. I planned to include this in a IIF calculation.
At the 2nd level, the calculated measure will only be correct if it is Averaged. And at the 1st level, the calculated measure will only be correct to take these Average value from 2nd level and Sum then up together.
Level 1 Level 2 A X1 X2 ================= (Avg of X1 + X2) B Y1 Y2 Y3 ================= (Avg of Y1 + Y2 + Y3) =================================================== (Sum of (Avg of X1 + X2) + (Avg of Y1 + Y2 + Y3) )
Currently, Instead of summing all the 3 averaged value, it is averaging against all the items like,
(Avg of X1 + X2 + Y1 + Y2 + Y3)
My MDX currently looks something like that
[Measure].[Value] / [Dimension].[Attribute.count] -> so i can get the avarage at the 2nd level but it doesn't require on the 1st level but retaining this value.
How can i do an average on the leaf level and using these average values to sum at parent level?
Calculation of an average using DAX' AVERAGE and AVERAGEX.This is the manual calculation in DW, using SQL.In the tabular project (we're i've noticed that these 4 %'s are in itself strange), in a 1st moment i've noticed that i would have to divide by 100 to get the same values as in the DW, so i've used AVERAGEX:
The results were, respectively: 701,68; 2120,60...; -669,441; and finally **-694,74** for Avg_FMPdollar.i can't understand the difference to SQL calculation, since calculations are similar to the other ones. After that i've tried:
test:=SUM([_FMPdollar])/countrows('Fct Sales') AND the value was EQUAL to SQL: -672,17 test2:=AVERAGE('Fct Sales'[_Frontend Margin Percent ACY]), and here, without dividing by 100 in the end, -696,74...
So, AVERAGE and AVERAGEX have a diferent behaviour from the SUM divided by COUNTROWS, and even more strange, test2 doesn't need the division by 100 to be similar to AVERAGEX result.
I even calculated the number of blanks and number of zeros on each column, could it be a difference on the denominator (so, a division by a diferente number of rows), but they are equal on each row.
I have created calcalated measures in a SQL Server 2012 SSAS multi dimensional model by creating empty measures in the cube and use scope statements to fill the calculation.
(so I can use measure security on calculations
as explained here )
SCOPE [Measures].[C];
THIS = IIF([B]=0,0,[Measures].[A]/[Measures].[B]);
I've been asked to find the Mode of the loads on trips we run. So I run a count on the [loads] (without grouping, in an analytical function) column, then sort on the highest counts. The problem is when there is a tie. In that case, I need to find the mean of all the tied values. This means that if there is no mode at all, it would simply take the mean of all the values.
Here is sample data:
CREATE TABLE test6 ( trip char(1) NULL, date int NULL, loads int NULL
[Code] ...
And here is what I'd like to see:
CREATE TABLE test7 ( trip char(1) NULL, loads int NULL ) insert into test (trip, loads) values ('A', 15) insert into test (trip, loads) values ('B', 17) insert into test (trip, loads) values ('C', 11)
Eg: I have productivity records of each day and each employee. I need to calculate avg of each last level employee productivity by monthly. Again Last level employee productivity avg must be added up with their immediate head. But, when I define a Measure Item as avg in the cube, it sums all the values of lost level employees & head and divides with number of records (normal avg).
My requirement is calculating each head avg by sum of each last level employee avgs / no of employees. If head having value, he too will be added. Again Head’s Avg will be added up immediate head.
The following calculation gives average value at each level.
Average of Level 3(E4) = > (4+3+7+6)/4 = 5 hrs/day< = (E6+E7+E8+E4)/4
Average of Level 2(E2) = > (5+3+5)/3= 4.333 < =avg(Level3(E4))+avg(Level3(E5)))/2
Average of Level 1(E1) = > (4.333+4+1)/3 = 3.111 < = avg(Level3(E2))+avg(Level3(E3)))/2
Formula for average of level : : (Sum of Children value + Head Value of Corresponding children) / (No.of Children +1)
I want to calculate average of each employee as well as average of each level in cube (SQL Server Analysis Services).
Need to resolve this calculation, which I would believe is something very common on SSAS environments.
Like many companies, my company has different ways of calculating Sales and the two I want to focus are Sales Gross and Sales Net.
At a high level, we calculate Sales Gross as Sales with returns, and Sales Net as Sales without returns.
We have an attribute called Order Type that has various types of orders a user can execute with my company. One of them is Returns. If you return something back to us, we record that as a return line on the sales table. With that, we can calculate that return, breaking data down by Order Type, such as:
Order Type Line Total
Mail Orders $ 776,655.44
Internet Orders $ 2,211,334.00
Call Center Orders $ 11,223,344.00
Credit Orders $ (55,666.00)
Today, to calculate Sales Gross and Sales Net, we are creating two dimensions: DimSalesGross and DimSalesNet.
To calculate Sales Gross, we leave the data at the natural state, not making any changes to mappings.
To calculate Sales Net, we map Credit Orders to Call Center Orders at the ETL level, getting a Net value for sales (Orders - Returns), however, I doubt this is the correct way of doing.
I would like to have a Line Total Net / Line Total Gross calculation, which would be based on the Order Type value.
Perhaps using a CASE statement in MDX? Is the above possible?
I'm trying to calculate the average number of sick days per person so that it can be broken down by person role or department or some other dimension. I have a calculation for sick days that works ok and is [measures].[sick days.I'm trying to create another calculation that is [total staff] but it doesn't work.
My final calculation will be [avg sick days] = [measures].[sick days] / [measures].[total staff]
The bit I can't get to work is making it ignore any filters. For example I have a measure called [staff] and as you would expect it can be broken down by [person].[role] or [department].[department].
I'm trying to get [total staff] to return the total when it's used with [person] or [department]. I've managed to get it to work with [person] by using ROOT([Person]) but then I will need to do this for all different hierarchies that will use it.
1)Where do I do the dateDiff calculation, at report or cube level? 2)How do I work out which dates belong to the above groups? I'm assuming i have to check if the dateDiff lies between those numbers?
I have a calculation that granularity is on a specific level and therefore would like the calculation to be only visible/calculate when with a specific dimension structure & attributes
SCOPE([Measures].[Complaint Rate]); SCOPE([Item Dimension].[Item Structure].Members); this=(IIF([Measures].[Sales Units]=0,NULL,(([Measures].[Count]/[Measures].[Sales Units])*1000000))); END SCOPE; END SCOPE;
This displays the calculation all the time even if no item attributes are selected, I only want the calculation applicable to the structure & attributes belonging to structure - I tried children, currentmember etc. but no luck - its probably something small I am missing. Tried this too
I have developed a cube in my work place for analyzing current year sales with previous year sales in Time Hierarchy (Year- Quarter- Month) using Parallel period. If we want to see data for particular Quarters i.e. Q1 and Q2 then total at the year level should also get change. Currently if we only choose 2 quarters in the filter then current year data gets change, however data using parallel period is not getting change accordingly and its shows Total of full year.
I am stuck in a situation where I want to use YTD for three different calendars of our company and don't want to create three different YTD calculations. However I want to make this work for any measure not for a particular measure
If I create one YTD and try to use in context of three calendars in SCOPE statements then it does not give my right results. Following is my syntax but It does not work.
The relationship between state and sales region is n:1, i.e. one state belongs to exactly one sales region, and one sales region can consists of one or multiple states. Unfortunatly I can't define this attribute relationsship in the dimension because it would lead to a diamond-shaped relationsship without a user-defined-hierarchy to back it up. So far that isn't much of a problem, user don't drill down from sales region to state. But now I want to define a calculated member that multiplies a measure from the main measure group with another measure from a weighting factor measure group at the state level and above. The granularity attribute of the geography dimension in the dimension usage tab of the weighting factor measuregroup is the state.
So far what I've got is:
CREATE MEMBER Currentcube.Measures.[weighted measure state and above] AS NULL; SCOPE (Measures.[weighted measure state and above], Descendants(geography.[political territory].[all member],3,SELF_AND_BEFORE), Descendants(geography.[salesterritory].[all member],2,SELF_AND_BEFORE), ... Descendants(geography.[hierarchy 9].[all member],1,SELF_AND_BEFORE)); this = sum(existing(geography.[political territory].state.members), measures.[main measure group measure] * measures.[weighting measure group measure]);END SCOPE;
This works from a functional point of view, but is rather slow when querying any other hierarchy than the political territory hierarchy, because SSAS first goes down from the state level to the key attribute of the geography dimension, and then aggregates from there to the sales region.In other words, I want SSAS to resolve the relationsship (which state belongs to which sales region) through the dimension, and not through the fact, and apply the calculation afterwards. Like some kind of currency conversion, but only from a certain level upwards.
I have been following the tutorial/blog post HERE to create an annualization (or "run rate") of my Gross Amount measure. What I want to do now is exclude any period that is not "complete".
For example, if today is 9/9 then Q3 is not complete - only Q1 and Q2 are complete. And if I'm looking at it monthly then January through August are complete, but September is not.
Cells B5 and D5 look exactly as I expect and want them to be. On row 6 below under each "Gross Annualized" value I have basically just put the formula for what it's actually doing.
What I would like to see in the blue cell is $67,211,697,268 - essentially the most recent annualization for a completed period. The annualization for Q3 is misleading because the quarter has not yet completed. There's $16b in Q1 and $17b in Q2, so the measly $78m in Q3 (yellow cell) is dragging the annualization down significantly. Even worse, the Gross Amount for Q4 is being treated as a $0.00, which is further dragging down the "2015 Gross Annualized" amount in blue. In a T-SQL average calculation, for example, I think the green cell would be treated as NULL rather than $0. That's kind of the behavior I want.
So I would like to do two things:
Create a calculation (probably just a 0 or 1 flag) that indicates whether the current period is complete or not. Again, using 9/9/2015 as an example, Q2 would be complete but Q3 would not be. And August would be complete, but September would not. Make the blue cell show $67,211,697,268 - an annualization based on completed quarters only.
For whatever it's worth here is the current calculation for Gross Annualized.
CREATE MEMBER CURRENTCUBE.[Measures].[Gross YTD] AS AGGREGATE( YTD([Pay Date].[Calendar].CurrentMember) ,[Measures].[Gross Amount]), FORMAT_STRING = "Currency", VISIBLE = 0;
I am Using following MDX Query to get the data for max date in the Dimension. But every time I am passing date key to dimension to get data. How to automatically get the Max available Level member for that dimension.In this case I am passing 20150429 to every line instead i need to get that automatically.
In my fact table (month granularity), I've got a calculation defined:
Margin%=DIVIDE(SUM(Margin);SUM(SalesAmount))
How should I define a calculation based on "Margin%", so that if I browse the Pivot Table by months it would always show the year level result instead? My date dimension is also with Month granularity and it has a Year column in it.
The all-level of dimensions doesn't show up in the PivotTable Field List? I have reports where I want to show one member of a dimensions compared to the total of the dimension (and not the total of the members shown). But I can't select the ALL-level. Is there any way to do this?
I have a temp_max column and a temp_min column with data for every day for 60 years. I want the average temp for jan of yr1 through yr60, averaged... I.E. the avg temp for Jan of yr1 is 20 and the avg temp for Jan of yr2 is 30, then the overall average is 25. The complexity lies within calculating a daily average by month, THEN a yearly average by month, in one statement. ?confused?
Here's the original query. accept platformId CHAR format a6 prompt 'Enter Platform Id (capital letters in ''): '
SELECT name, country_cd from weather_station where platformId=&&platformId;
SELECT to_char(datetime,'MM') as MO, max(temp_max) as max_T, round(avg((temp_max+temp_min)/2),2) as avg_T, min(temp_min) as min_temTp, count(unique(to_char(datetime, 'yyyy'))) as TOTAL_YEARS FROM daily WHERE platformId=&&platformId and platformId = platformId and platformId = platformId and datetime=datetime and datetime=datetime GROUP BY to_char(datetime,'MM') ORDER BY to_char(datetime,'MM');
I want to perform column level and database level encryption/decryption.... Does any body have that code written in C# or VB.NET for AES-128, AES-192, AES-256 algorithms... I have got code for single string... but i want to encrypt/decrypt columns and sometimes the whole database... Can anybody help me out... If you have Store procedure in SQL for the same then also it ll do... Thanks in advance
When you utilize transactions in ADO.NET are the locks put on the entire TABLE used or at the row level? For instance if you do a SELECT within a transaction if you only pull 5 rows out of a 1000 row table can you just make it lock the rows that have been pulled? It seems like it locks the entire table?
Hi, Can anybody please explain me, what is low level and high level locking in SQL Server 2005 database. Also what is the name of process which converts low level locking into high level locking and vise versa. -Sanjeev
Hi..I'd very much appreciate it if someone would tell me how to translatea statement level trigger written in Oracle to its equivalent (if there isone)in MS SQL Server. Ditto for a row level trigger.If this is an old topic, I apologize. I'm very much a newbie to SQL Server.Regards,Allan M. Hart
I have, a SSAS 2012 tabular instance with SP2, there is a database on the instance with a read role with everyone assigned permissions. When configuring the Power BI analysis services connector, at the point where you enter Friendly Name, Description and Friendly error message, when you click next I receive the error "The remote server returned an error (403)." I've tested connecting to the database from Excel on a desktop and connect fine.I don't use a "onmicrosoft" account so don't have that problem to deal with.
We use Power BI Pro with our Office 365. As far as I can tell that part is working ok as I pass that stage of the configuration with a message saying connected to Power BI.The connector is installed on the same server as tabular services, its a Win2012 Standard server. The tabular instance is running a domain account that is the admin account for the instance (this is a dev environment) that account is what I've used in the connector configuration. It's also a local admin account. There is no gateway installed on the server.
I have a cube that we are processing nightly via an Analysis Service Processing Task in SSIS. In order to increase the performance of the processing time, we elected to use a lot of rigid dimension attributes, and do a full process of everything in the SSIS task. The issue that I am having is that after that task completes, I need to go into Visual Studio to deploy the cube becuase we are unable to browse or use the cube. This issue seemed to start once we changed the SSIS Analysis Service Processing Task to do a full process on the dimensions, rather than an incremental.
I would expect that once development is done, and it is processed and deployed, that is it. My thinking is that the SSIS task should just update the already deployed cube,
How to right choose key column in"Mining Structure" for Microsoft Analysis Services?
I have table:
"Incoming goods"
Create table Income ( ID int not null identity(1, 1) [Date] datetime not null, GoodID int not null, PriceDeliver decimal(18, 2) not null, PriceSalse decimal(18, 2) not null, CONSTRAINT PK_ Income PRIMARY KEY CLUSTERED (ID), CONSTRAINT FK_IncomeGood foreign key (GoodID) references dbo.Goods ( ID ) )
I'm trying to build a relationship(regression) between “Price Sale” from Good and “Price Deliver”.But I do not know what column better choose as “key column”: ID or GoodID ?
