To be able to tell the Period number ([PD]) to change from an integer to a var_char so that it can be concatenated with the Fiscal Year. I.e. Fiscal Year || Period number to produce the following results.
2006 01
2006 02
2006 03
Etc……
Status of Problem:
The issue is that I can only get it done to the point to where the Fiscal Year || Period number yields the following results:
20061
200610
200611
200612
20062
Etc….
This is as issue since I am trying to get all the information from the past to a certain year and period. Using a filter that says
Fiscal Year + Period Number <= ?Prompt_Fiscal_Year? + ?Prompt_Period_Number?
So if I enter Year: 2007 Period 3
I should get:
2006 01
2006 02
2006 03
Etc…….
2006 11
2006 12
2007 01
2007 02
2007 03
Can you please let me know if my thinking is off or if my SQL is wrong, Thank you for your assistance in this matter.
I need to design a table header for inventory transactions with the specifications as follows:
1. System-generated series numbers (integer)
2. Series numbers must be unique by branch by transaction type. Thus if I have following:
Branches: Br1, Br2
Transaction Type: SRS (Stock Receipt from Supplier), SRB(.. from Branch)
The series number must be implemented in such a way that,
Br1 SRS 0000000001
Br1 SRB 0000000001
Br2 SRS 0000000001
Br2 SRB 0000000001
Then, in every INSERT, series number should be incremented by 1, grouped by branch by transaction type. That is, after INSERT with Br1/SRB the figure may now look like,
Br1 SRS 0000000001
Br1 SRB 0000000002
How do I design my table in order to achieve this? Note that this table header will have a detail (master/detail) referenced by foreign key.
As the Microsoft Time Series algorithm implementation is based upon the Autoregressive Tree approach described in:
C. Meek, D. M. Chickering, D. Heckerman. Autoregressive Tree Models for Time-Series Analysis. In Proc. 2nd Intl. SIAM Conf. on Data Mining, 2002 (SDM-02). SIAM, pp. 229 €“ 244. http://www.siam.org/meetings/sdm02/proceedings/sdm02-14.pdf.
The model estimated is refererred to as an instance of "... autoregressive tree models of length p, denoted ART(p). An ART(p) model is an ART model in which each leaf node of the decision tree contains an AR(p) model, and the split variables for the decision tree are chosen from among the previous p variables in the time series..." (see the last paragraph of p. 2 of the paper).
What is the value of "p" used in the Microsoft Time Series implementation -- specifically, how many previous time series variables are used in estimating the model? It doesn't appear that this value can be specified in the algorithm parameters -- is that correct?
I have a simple query which returns a purchase date plus the number of months warranty an item has. What I need to do is add these months to the purchase date to get a warranty expiry date. What is the best way to do this? My query and results are below, I need an extra column in the results with that calculated warranty date:
select item, purchase_date, warranty_period from inventory where item like '05MC%'
add a number to the end of an ID to create a series.For example, I have an EventID that may have many sub events. If the EventID is 31206, and I want to have subEvents, I would like have the following sequence. In this case, lets say I have 4 sub Events so I want to check the EventID and then produce:
312061 312062 312063 312064
How can I check what the EventID is, then concatenate a sequence number by the EventID?
I have a report that has 41 fields one of these fields is the Admit Date. I need to create a field that shows a count of Admits in the past 12 months .
I have table A(year int, month int, user varchar(20)), and I am trying to write a view that would show number of distinct users in the last 3 months, last 6 months, last 9 months and last 12 months(all from the most recent year/month)Â in following format:
3 months   6 months   9 months   12  months
number of distinct users     x          y          z            w
I have a challenge and I'm not sure the best route to go. Consider the following dataset.
I have a table of sales. The table has fields for customer number and date of sale. There are 1 - n records for a customer. What I want is a record per customer that has the customer number and the average number of months between purchases. For example, Customer 12345 has made 5 purchases.
I am trying to calculate how much revenue we may get, based on potential new business opportunities. The core fields we have are
Total Contract Value ($ or £)Duration of contract (months)Revenue start dateVarious information about the new business - ID, Title, Customer etc.
We can easily calculate the revenue per month with "Total Contract value divide by duration".
However what I would really like to do is be able to know how much revenue we will be getting each month.
To do this I was thinking we should probably create a new row for each month entry, with the mm-yyyy being the only difference for each row. But how to create the appropriate months and the correct amount of rows.
I need to find the missing months in a table for the earliest and latest start dates per ID_No.  As an example:
create table #InputTable (ID_No int ,OccurMonth datetime) insert into #InputTable (ID_No,OccurMonth)Â select 10, '2007-11-01' Union all select 10, '2007-12-01' Union all select 10, '2008-01-01' Union all select 20, '2009-01-01' Union all select 20, '2009-02-01' Union all select 20, '2009-04-01' Union all select 30, '2010-05-01' Union all select 30, '2010-08-01' Union all select 30, '2010-09-01' Union all select 40, '2008-03-01'
I encountered a very strange problem again. Why the time series displayed on the chart are so strange? The Key time column I chose for my time series algorithm is cal_month(e.g 199001...), but why the date displayed on the time series chart is like :05/06/2448? (it should be like 199001..?) What is that data? And where exactly did it come from? What is the exact cause of this?
Hope it is clear for your help.
I am really confused on this and thanks a lot for your kind advices and help and I am looking forward to hearing from you shortly.
Hi, I have setup a chart with series on right hand side. The series is from one of the fields. How is it possible to remove series and instead place each series name on a graph line? Or at the very least, how can I place a text on each graph line? Thanks
I m using the Time Series Algorithm to forecast sales across regions for various products. Assume the model is built with last 3 years data with the periodicity being monthly.
Is it possible that sometimes I can make predictions based on just 1 yr or 2 yrs data for certain products alone or certain regions alone? Can this be done without having to retrain the already built model?
Also, is it possible that using the model, i can predict week-wise / month-wise / quarterly sales as well?
Hello Forum, I am have posted questions regarding selecting a series of dates and am still having trouble doing so. I have been using vwd to build a website, and now would like to retrieve data from access and display a weeks worth of information at one time from selecting a column of information from the data base. I have used this section of code to do the required function. 'SELECT OrderId, CustomerId, Price FROM Orders WHERE OrderedDate BETWEEN DATEADD(d, -7, GETDATE()) AND GETDATE(), I have replaced these variables with my own, and keep getting an error message 'Undefined function 'GETDATE' in expression', I have tried many different functions to get it to work. Any ideas? Thanks Forum, Tim p.s. thank you todd for replying to my first question!
Hi All, I have a table Test1: ID date Value AAUGVAL 2/27/198760.848 AAUGVAL 3/2/1987 64.288 AAUGVAL 3/3/1987 63.77 AAUGVAL 3/4/1987 62.495 AAUGVAL 3/5/1987 62.65 AAUGVAL 3/6/1987 62.548 AAUGVAL 3/9/1987 62.292 AAUGVAL 3/10/198763.045 AAUGVAL 3/11/198763.021 .... I am trying to see the value % changes day by day and here is is the code I wrote: select starttime=cast(v.date as char(8)), endtime=cast(a.date as char(8)), startval=v.Value, endval=a.Value, change=substring('- +', sign((a.Value-v.Value)+2,1)+ cast(abs(a.Value-v.Value) as varchar) from (select date,Value, ranking =(select count(distinct date) from Test1 T where T.Value<=S.Value) from Test1 S) v left outer join (select date,Value, ranking=(select count(distinct date) from Test1 T where T.Value<=S.Value) from Test1 S) a on( a.ranking=v.ranking+1)
I got the following error message: Server: Msg 174, Level 15, State 1, Line 4 The sign function requires 1 arguments. Server: Msg 170, Level 15, State 1, Line 7 Line 7: Incorrect syntax near 'v'. Server: Msg 170, Level 15, State 1, Line 9 Line 9: Incorrect syntax near 'a'.
Could someone please help with this? Thank you in advance! shiparsons
I have a large number of relatively simple sql queries that each perform tests on different tables returning different columns and rows for each test.
I would like to be able to run all of these at once and get the output in a usable format.
Would it be possible to run a single query or store procedure which could perform each test then output the results from each test to a new sheet in excel?
Could it output the results of each test to individual csvs?
I am trying to write a stored proc the calculates a moving average overthree periods. In the following example, I need to stratify the data bypersonID and RecordID in the #Temp table, but I am not sure how to doit. Right now I am restricting the data I use to build my time series bypersonID and I get the results I want *by PersonID*. If I can figure outhow stratify by personID so I don't have to use this restriction, I'msure I can extend it to the RecordID.Create Table #Temp(tmpID int identity,DetailID int,RecordID int,AdminDate Datetime,AdminTime datetime,Status tinyint,--decimal(9,2),Location varchar(100),PersonID char(9),PatientName varchar(100),DOB Datetime,Drug varchar(100),Sort varchar(10))--populate with data by personIDinsert into#Temp(DetailID,RecordID,AdminDate,AdminTime,Status ,Location,PersonID,PatientName,DOB,Drug,Sort)Select MD.PatMedOrderDetailID, MD.PatMedOrderID, M.Date as AdminDate,Case M.Time When 'A' then '8:00:00 AM' When 'N' then '12:00:00 AM' When'P' then '4:00:00 AM'When 'H' then '8:00:00 PM' else M.Time End as Admintime,100*M.Status, P.Location,P.PersonID, P.Name as PatientName, P.DOB,D.GenericName + ' (' + D.TradeName + ') ' +D.Strength,Left(P.Location,3)From PatMedOrderDetail MD Inner Join PatMedOrder MO on MD.PatMedOrderID= MO.PatMedOrderIDinner Join PatMedPass M on MD.PatMedOrderDetailID =M.PatMedOrderDetailIDinner join Patient P on M.PersonID = P.PersonIDinner join Drugs D on MO.DrugID = D.DrugIDWhere P.PersonID = '000126230'Order by P.PersonID,MD.patMedorderID, M.Date, M.TimeSelect * from #Temp -- to view entire set--returns relevant rowsSelect Derived.RefusalRate,T.* from #Temp T inner join(select t1.tmpID, avg(t2.Status) as RefusalRatefrom #Temp t1 cross join #Temp t2WHERE t1.tmpID>=3 AND t1.tmpID BETWEEN t2.tmpID AND t2.tmpID+2group by T1.tmpIDhaving avg(t2.Status)< 100) as Derived on T.tmpID = Derived.tmpIDDrop Table #Temp*** Sent via Developersdex http://www.developersdex.com ***
I am new to SQL Server and learning lots very quickly! I am experienced at building databases in Access and using VBA in Access and Excel.
I have a time series of 1440 records that may have some gaps in it. I need to check the time series for gaps and then fill these or reject the time series.
The criteria for accepting and rejecting is a user defined number of time steps from 1 to 10. For example, if the user sets the maximum gap as 5 time steps and a gap has 5 or less then I simply want to lineraly interpolate betwen the two timesteps bounding the gap. If the gap is 6 time steps then I will reject the timeseries.
I have searched the BOL and MSDN for SQL Server and think there must be a solution using the PredictTimeSeries in DMX, but not quite sure if I can do this. I may be better off simply passing through the time series as a recordset and processing as I would have done in Access...(I am reluctant to do this as I have of the order 100 * 5 * 365 time series and growng by 100 each day and fear it will take quite some time...)
Can anyone help me by pointing me in the right direction please?
Unless there is a way of using PredictTimeSeries on its own, I think the solution is:
Identify if a record is the a valid one or part of a gap (ie missing values). Identify the longest gap and reject or process data on this value. Identify if a record preceedes or succeeds a gap. For each gap fill it using a linear interpolation.
First question: How many months of data do you need to make this algorithm to work in Excel 2007? And is there an issue about data types in Excel for this algorithm?
I have found some odd behaviours regarding this. If I use the DM sample Excel 2007 with time series data everything works fine. If I copy and paste data into Excel 2007, from another data source, I can get a forecast of repeating values, that is one value, that will be repeated for each month that I am trying to do a forecast.
Should I avoid having time members for forecast dates in a column? Sometimes my forecast values will be placed below my dates that do not have values. If I am forecasting months in 2008, with month values from 2007 and 2006 the forecast values will be placed below my 2008 empty months.
I'm trying to learn about time series algorithm but I can't set the time periodicity right. I have information stored 2 times a year (semester) so I'll should set up a PERIODICITY_HINT = {2}, right? but it does not change anything.
Here is a screenshot that might help understand the problem:
I'm going to create an analysis report based on time range. The data is grouped by the hourly range. There're two problems that I'm facing.
1. How can I generate such result set so that it will give me 0 count instead of missing that column?
2. How can I vary the start and end time which depends on another table?
I believe this is quite hard to be complete within a single SQL. However, I would still want to try. The SQL server is the Express version. No analysis service is available.
Obviosly for Person1 and 200501 I expect to see on MS Time Series Viewer $3000, correct? Instead I see REVENUE(actual) - 200501 VALUE =XXX, Where XXX is absolutly different number.
Also there are negative numbers in forecast area which is not correct form business point Person1 who is tough guy tryed to shoot me. What I am doing wrong. Could you please give me an idea how to extract correct historical and predict information?
I have few chart based reports where I am showing different costs in series. I want to fix the colour of each type of cost so that I can maintain the same colour for each cost in different reports.
I am building data mining models to predict the amount of data storage in GB we will need in the future based on what we have used in the past. I have a table for each device with the amount of storage on that device for each day going back one year. I am using the Time Series algorithm to build these mining models. In many cases, where the storage size does not change abruptly, the model is able to predict several periods forward. However, when there are abrupt changes in storage size (due to factors such as truncating transaction logs on the database ), the mining model will not predict more than two periods. Is there something I can change in terms of the parameters the Time Series Algorithm uses so that it can predict farther forward in time or is this the wrong Algorithm to deal with data patterns that have a saw tooth pattern with a negative linear component.
I have the following store procedure which list a certain amount of product
SELECT P.Name, P.ProductCode, P.Quantity, P.ItemUnitWeight, P.Weight, P.WeightUnitMeasureID, P.IsDeleted, UNIT.UnitMeasureCode, P.StoreID, dbo.v_ProductItemWeight.TotalWeight, dbo.v_ProductItemWeight.UsedWeight, Production.ProductCategory.Name AS CategoryName, Production.ProductCategory.ProductCategoryID, Production.ProductItem.Quantity AS UnitQuantity, Production.ProductItem.UsedQuantity FROM Production.Product AS P INNER JOIN
[Code] ....
This store procedure produce the following result set :
Result Set
From the result set above, in fact what I need to get is a single records for each ProductCode and adding 2 fiels which are the Sum(UNitQuantity) and the Sum(UsedQuantity)
How can I add those 2 field in my querry and group it by ProductCode ?
l've a series of day which record the date of an event. l would like to count the # of continuous days for the event. In this case, it would be 14/5, 15/5, 16/5, 17/5, 18/5, 19/5 and 20/5. Any idea to do this in SQL?
I inherited an application that creates reports and each report pulls data from a SQL database. The reports are for each School district in the state and pull the number of students that have Asthma conditions, simple enough. However what happens is this... Each initial report is saved with a code of 2 for initial. As long as there aren't and revisions I am fine. If a school makes a revision (Code of 4) I now have two records in the database and I need the one from the revision (Code 4). Not every record will have a revision, and sometimes there may be multiple revisions. How can I code my stored procedure to go through the database and check to see if there is a code of 4 or multiple codes of 4 and if so grab that data, if not grab the initial data? Below is the code currently being used. Frank
CREATE PROCEDURE dbo.usp_Rpt_Asthma (@WhereClause VARCHAR(400)) AS SET NOCOUNT ON DECLARE @WhereClause_STR VARCHAR(400) SELECT @WhereClause_STR = CONVERT(VARCHAR(400),@WhereClause) Exec ('Select D.Code, C.Code, InstCtgyFK, C.[Description] as County, D.DistrictName, A.InstName, Sum(K4+K+G1+G2+G3+G4+G5+G6+G7+G8+G9+G10+G11+G12+UnGrSpEd+Other) as TotalADM, Asthma, Asthmatics FROM dbo.tblAnnualReports AR Inner Join dbo.tblAddresses A on A.InstitutionFK = AR.InstitutionFK Inner Join [DHHBGSQLPROD1].[Shared Common Data].[dbo].[tblInstitution] I on A.InstitutionFK = InstitutionPK Inner Join [DHHBGSQLPROD1].[Shared Common Data].[dbo].[tblActiveInstCtgy] AIC on A.InstitutionFK = AIC.InstitutionFK Inner Join [DHHBGSQLPROD1].[Shared Common Data].[dbo].[tblCounties (PA Standard)] C on C.Code = I.DOHCountyCode Inner Join [DHHBGSQLPROD1].[Shared Common Data].[dbo].[tblCommunityHealthDistricts] D on D.Code = C.CommunityHealthDistrictCode Inner Join dbo.tblAverageDailyMemberships ADM on AR.[ID] = ADM.AnnualReportID Inner Join dbo.tblChronicConditionsInjuries CC on AR.[ID] = CC.AnnualReportID Inner Join dbo.tblMedicationAdministration MA on AR.[ID] = MA.AnnualReportID Where (A.StartDate <= AR.DOHDateProcessed and (A.EndDate >= AR.DOHDateProcessed or A.EndDate is Null or A.EndDate = ''1/1/1900'')) and ReportTypeCode = 2 and IndOrdStandOrd = ''I'' ' + @WhereClause_STR + ' Group By D.Code, C.Code, InstCtgyFK, C.[Description], D.DistrictName, A.InstName, Asthma, Asthmatics ') GO
