SQL 2008R2
Request is to merge or join or case stmt or union or... from up to four unique columns all in separate tables to new combined table (matrix) of results from said.
What is example of best method to do this ?
From my query I am getting results like below in one of the column:
'immediate due 14,289.00
04/15/15 5,213.00
05/15/15 5,213.00
06/15/15 5,213.00
07/15/15 5,213.00
08/15/15 5,213.00
09/15/15 5,213.00
10/15/15 5,213.00
11/15/15 5,210.00'
this same type of many rows are there (i just mentioned one) but having same pattern with tabs as delimiter in between dates and amount.
I need something that shows Date on one side representing particular amount on the other
For Immediate Due it will be current date and the amount besides it.
how can I achieve this.
I am trying to add 2 separate columns from separate tables i.e column1 should be added to column 2 when inserted and I want to use a trigger but i don't know the syntax to use...
View 14 Replies View RelatedHaving successfully created :
- a data mining structure with about 80 columns.
- a data mining model using Microsoft_Decision_Trees with 2 prediction columns.Â
I thought I would then explore the possibility of have more than 2 prediction columns, in this case 20.
I get an error message and I can't work out :
a) if this is because there's a limit to the maximum number of prediction columns and where that maximum is stated.
b) if something else has become corrupted
c) there's a know bug and if the error message is either meaningful or not.
Either way, I'm unable to complete the data mining wizardÂ
The error message is :Errors in the metadata manager. Either the mining structure with the ID of '[my model Structure]' does not exist in the database with the ID of 'DMAddinsDB', or the user does not have permissions to access the object.
If you see below there are 2 customer names on 1 loan, most of them share the same lastname and address, I want to separate it with fields,LoanID, customer 1 Firstname, Customer 1 Lastname, Customer 2 FirstName, Customer 2 Lastname, Adddress,zip
Loan IDFirst NameLastnameAddressaddress 2CityStateZip
1236048Joey Yesen xxxx abc GROVE RDNULLCLEVELANDTX77327
1236048Dickey Yesen xxxx abc GROVE RDNULLCLEVELANDTX77327
1235983Randy Seany xxxx abc Haleyville StNULLAuroraCO80018
1235983Barry Seanyxxxx abc Haleyville StNULLAuroraCO80018
The query I am using
select
L.Loanid
,B.FirstMiddleName
,B.LastName
,MA.AddressLine1
,MA.AddressLine2
,MA.City
,MA.State
,MA.Zip
from Loan AS L
LEFT JOIN Status As S on S.LoanID = L.LoanID
LEFT JOIN Borrower B on B.LoanID = L.LoanID
LEFT JOIN MailingAddress MA on MA.LoanID = L.LoanID
where S.PrimStat = '1' and B.Deceased = '0'
hi guys,
i have 3 tables (T1, T2, T3), each with the same structure:
ID1 -> char(10)
ID2 -> char(12) NULL
ID3 -> char(10)
Value1 -> money
Value2 -> money
Value3 -> money
Note1 -> Text
Note2 -> Text
ID1+ID2+ID3 is the clusterd unique key in each table
what i want:
ID1, ID2, ID3 (with distinct occurencies of all 3 tables), T1.Value2, T2.Value2, T2.Value3, T3.Value1, T3.Note1
what i tried is to get all possible rows with
SELECT ID1,ID2,ID3 FROM T1
UNION
SELECT ID1,ID2,ID3 FROM T2
UNION
SELECT ID1,ID2,ID3 FROM T3
but i dont know how to join or add the other columns. maybe with
WITH RowList (ID1,ID2,ID3) AS ( ... code above.... ) SELECT ...
any ideas?
thx
I have two temp. tables. I am trying to show the agents how makes the sales and the ones how didnt make sales based on the time that they clock in. One table is called #sales which has only the agents that make sales and other tables is #hours which has both agents that do not make sale. the problem is that I can not get both agents to show on my report. I tried different ways but I could not. #sales table uses (select statement from AmountStats table that stores only the agents who make sale). #hours table uses different tables to store all gents who makes sale and ones that are not making sale.Â
declare
@start datetime,
@end datetime,
@campaignId uniqueidentifier,
@campaignName varchar(250),
@segment varchar(50)
set @start = '2015-10-07'
set @end = '2015-10-20'
[code]....
how to merge these two columns from #sales and #hours tables without duplication.
Hi, all here,
I am wondering where can I store my mining results in data mining engine? For example, I got mining results like accuracy chart, decision trees, and other formats of results based on different mining algorithms I used for my data mining, so where can I actually store the results for reporting service use later? Is it possible to do that in SQL Server 2005?
Thanks a lot for any help and guidance in advance.
Hello,
Can someone please assist?
I have no problem using the provided Algorithms (NaiveBayes, Decision Tree, etc) from SQL Server 2005 Data Mining. For example: If I want to predict whether the customers want to buy bike from the following data, then I use Age, Salary, Gender as input/attribute/feature selection and BuyBike column as "Predict" column.
Table
Age Salary Gender BuyBike
------------------------------------
However, say that I have 10,000 types of bikes to predict. How to do that?
Age Salary Gender BuyBike1 BuyBike2 BuyBike3 ...... BuyBike10000
------------------------------------------------------------------------------------
Are there any online resources discussing this issue? I am desperately try to solve this problem. Please assist!
Mary
I have a question  in SQL server. For example I have a table which has two column like following table and I don't know how can I update theses two column with identity numbers but just the fields which are equal 111.
Example table:
numez numhx
111 111
111 111
0 111
111 0
111 0
and my results should be:
numez numhx
1 2
3 4
0 5
6 0
7 0
Using below script to export the select statement result to .xls
declare @sql varchar(8000)
select @sql = 'bcp "select * from Databases..Table" queryout c:bcpTom.xls -c -t, -T -S' + @@servername
exec master..xp_cmdshell @sql
But result is not exporting in seperate tabs, all 4 column details are exporting in single cell.
how to export the data in columns to separate tabs in excel.
Currently we have one customer database containing various tables. As part of requirements for a new client, we need to manage their data in a totally separate database. The tables and structure are exactly the same but we would be loading data into a separate database.
I am looking for a way to combine tables with the same name in each database when I run queries, rather than having to query each database separately. Currently we actually have many queries set up in MS Access which use an ODBC link to query the data off SQL server. I am aware it is possible to apply a UNION SELECT in Access from 2 separate ODBC connections, but this is extremely slow.So my initial question is - is there a way to provide access to the tables from both databases over the same ODBC link? If this cannot be done over ODBC I guess we can consider more "modern" methods, but ideally we want to keep this in MS Access as that is where our existing queries are based. I was hoping that some kind of view can be treated as an ODBC connection.I mentioned ideally we want to keep the reporting queries in MS Access.
While recently working with several mining models, I came across something that struck me as pretty odd - and I'm hoping to find an explanation for the behavior.
Consider the following setup:
A single table in the relational database represents the only case table
A single, continuous column is the predictable
A mining structure has been created
The mining structure contains a single model, based on the MS Decision Trees algorithm
Input columns were selected for the model via the BI Studio wizard (i.e., those provided via the "Suggest" button)
The structure has been fully processed
Now, the interesting parts:
I view the scatterplot for the mining model, under the Mining Accuracy Chart tab
Back on the Mining Structure tab, I delete one of the input columns
I add the same column back into the structure
The structure is fully processed again
When I view the scatterplot for the mining model, under the Mining Accuracy Chart tab, a different set of data points are presented for the model predictions
A different set of decision trees under the Mining Model Viewer tab confirms thisHow could different patterns have been found this second time around, even though all of the input columns were the same (as well as the training cases)?
(Note: I encountered this situation while creating a new mining model that was identical to an existing one. Even though the models received the exact same inputs and training cases, they yielded different results. I was able to reproduce the behavior by using steps 1-6 above, though.)
Can someone provide some insight on this behavior, or some kind of explanation of what may be happening?
Thanks,
Joe Miller
I have a database available and it is in live production.
I want to show only three tables in the front end. asp.net application in dropdown menu. I checked the internet and found only query for seeing all the tables from the DB.
Hi ...I can't figure out how to put nested tables into the Data Mining Model Training Transform (SSIS). Can anybody help me? some example please...!!!??
Diego B.
I followed the tutorial posted at [URL] ...
Everything was ok until the last step where I had to process the mining structure which resulted in a warning
"Informational (Data mining): Decision Trees found no splits for model, Tbl Decision Tree Example."
What does this error mean? How do I resolve it? Also, I only see the first level in the Mining Model Viewer, I don't see the levels 2 and 3.
Hi, all experts here,
I would like to know if there is any way to migrate third-party data mining packages with SQL Server 2005 data mining algorithms together then we can have a comparison among all of them to get the best results for training models.
I am looking forward to hearing from you.
Thanks a lot.
With best regards,
Yours sincerely,
Hoping someone will have a solution for this error
Errors in the metadata manager. The data type of the '~CaseDetail ~MG-Fact Voic~6' measure must be the same as its source data type. This is because the aggregate function is not set to count or distinct count.
Is the problem due to the data type of the column used in the mining structure is Long, and the underlying field in the cube has a type of BigInt,or am I barking up the wrong tree?
I'm a beginner with SQL 2012 SSDT & SSMS. I get this error message when I try to deploy my project:Â
"Error 6
Error (Data mining): KEY SEQUENCE columns are not supported at the case level. The 'Customer Key' column of the 'TK448 Ch09 Cube Clustering' mining structure contains content that is not valid.
0 0
"
I am finding it hard to locate the content that is not valid. I've been trying to find a answer for this problem but can't seem to find anything. How can I locate the content that is not valid and change or delete it so that I can deploy this solution?
I m extracting data from Excel-sheet and inserting into SQL Server 2005 Database using SSIS(SQL Server Integration services).
Having 2 columns in excel-sheet and want to insert those into 1 column of SQL Table.
Can anyone help me about, how can I insert data from 2 columns into 1 column in SSIS. Is Export/ Import column or Copy Column or Merge will work..
Plz reply soon..
Thanks...
I can't figure out how to put nested tables into the Data Mining Model Training Transform (SSIS). I can do a simple case table, but how do you get those nested tables with DM Training Transformation? Any ideas? Samples?
Thanks in advance,
-Young K
Lets take the following example:
Movie train table:
ID Class
1 +
2 +
3 -
4 +
5 -
Actor train nested table:
ID MovieID Gender
1 1 F
2 1 M
3 1 F
4 1 F
5 2 M
6 2 M
7 2 F
8 3 F
9 3 F
10 4 M
11 4 M
12 4 F
13 4 F
14 5 F
15 5 M
We want to build a classifier model in order to predict the Class of a Movie based on the Gender of movie's actors. To deal with the nested table Analysis Services maps each record of the nested table to an attribute of the case table. These attributes are named Actor(n).Gender with n = 1..15, and so they are dependent on the nested table record numbers. Both Microsoft Decision Trees and Microsoft Naive Bayes algorihms use these attributes without any modification.
We are implementing a Relational Naive Bayes algorithm and we are planning to aggregate such attributes in order to make them independent of the nested table record numbers.
Next step we tried to predict some unseen cases and here we face with
a very huge problem.
Lets take more two tables of unseen cases:
Movie test table:
ID Class
6 +
7 NULL
8 NULL
Actor test nested table:
ID MovieID Gender
1 6 F
2 6 M
3 6 F
4 6 F
16 7 F
17 7 M
18 7 F
19 7 F
20 7 F
21 8 M
22 8 M
23 8 F
Predicting the movie 6 Class is not a problem since the movie actors were included in the training dataset and when the records are mapped to attributes because they already exist in the model. But when you
try to predict movies (7 an 8) with unseen actors all new attributes are simply ignored in the ALGORITHM:redict call (in_ulCaseValues is zero!) because they do not exist in the model!
What is the solution?
Hi all,
I am using Microsoft_Time_Series and have set HISTORIC_MODEL_GAP to various values (from 1 to 21). I always get this error:
Error (Data mining): The 'HISTORIC_MODEL_GAP' data mining parameter is not valid for the 'My Time Series' model.
In Algorithm Parameters window, this parameters is not there by default, so I have to add it.
Any tip will be greatly appreciated.
Implementing data mining Add-in in an academic setting? We need to handle over 150 new students a semester and have their connection to Analysis Services survive for their four years at the college. We are introducing data mining to every freshman business student as a unit within their Intro to Excel class (close to a month of work to give them a sense of what is possible). Other courses later in their curriculum will expand on that introduction.Â
Once implemented, we would have as many as 900 connections to manage (four years from now). It is possible that multiple sections will be running at the same time, so 40 students may be accessing the data mining tools concurrently. Â
Is there a way to "bulk establish" the access credentials and establish those databases?
With SASS Database i have created Data mining Structure Using Time series algorithm, while processing the SSAS db, Data mining  taking long time to process, so how we can  reduce processing time ???
View 2 Replies View RelatedHi,
I have just run a simple data set through a model to predict a simple true or false value (i.e. binary output)
The Lift Chart/Mining Legend in Analysis Services shows three results €“ Score, Population Correct (%), and Predict Probability (%)
Population Correct I beleive is the percentage of predictions it got right out of the total number of predictions it tried to make. Is this correct?
However, I can€™t work out how the other two are derived in particular the 'SCORE'. To give a live example the scores were as follows:
Model Score Pop Correct Pred Probability
Decision Trees 0.83 76.59% 54.28%
Neural Network 0.75 67.63% 50.05%
Ideal Model 100.00%
Can anyone help with this and give a detailed explanation?
Many thanks,
S Rajput
Hi,
I am trying to model data in analysis services with the Advance Create Mining Model function in the excel addin. I am having trouble creating an association model that works like the Associate button above the Advanced button.
The format of my data is like this
OrderID Product
100 Bike
100 Helmet
100 Shoes
200 Helmet
200 basketball
200 Bat
300 Shoes
300 Socks
The associate button works perfectly since it asks me which column is the transaction id (orderid) and which column I am trying to predict (product). The advanced create mining model asks me to determine what the columns are...
OrderID=key Product=Input+Predict?
When I run the advance create mining model associate, I get a browser that gives me no rules and the support for only one item itemset (each product but no combination of products).
Does anyone know what I have to do to get it to work like the associate button?
Merging table :
--------Dummy TABLE
create table #Tbl1 (date1 date,WSH varchar(10),ITN int,Executions int)
insert into #Tbl1 (date1 , WSH , ITN , Executions)
select '20130202' ,'ABC', 1 , 100
union all
select '20130203' ,'DEF', 1 , 200
[Code] .....
I want Result like this :
date1 WSH ITNExecutionsMCGPositions
2013-02-02 ABC 1 100 2 500
2013-02-03 DEF1 200 NULL NULL
2013-02-05 NULLNULL NULL 2 600
I perform data mining on all products and a specific product category.
Do I need to create 2 data source views, one for all products and the other one for the specific product category?
Afterward, I run the Data Mining Wizard 2 times to create 2 mining structures.
I also need to add the same mining model (e.g. Bayes, Cluster) to each of these mining structures.
Is there any simple way to do it?
Thanks.
Joe.
Hi all,,
I posted the questions in sql forum and got good sql statement to work with it.. However, I want to see if there is a way to do it in SSIS..
May be this is really basic questions but I am having hard time to do it in sql server 2005 SSIS..
I have a flat file that I want to merge with table in SQL server 2005.
1> I have successfully created a data flow task to import data from flat file to Table X (new table I created for this package).
Now here is my question.
I have a Table A already in the database with the same column structure as of TableX (Both the tables have 20 columns/same Name/Same design).
I want to merge Table A and Table X and stored the data in TableA. However, I just don't want to merge blindly, I need to insert a new row in Table A only if the same row does not exist in Table A (there is no primary key, i am looking certain fields to see if the rows are same)..
Here is an example:
Table A
--------------
1 test test1 test2 test3 test4 test5
2 test test6 test7 test8 test9 test10
Table X
------------
1 test test1 test2 test99 test4 test5
2 test test98 test97 test 96 test95 test94
--------------------------------------------------------
Now, I want to only insert row 2 of Table X since there is match on 4 of the fields in row1..
The new Table A should look like
NEW Table A'
-----------------
test test1 test2 test3 test4 test5
test test6 test7 test8 test9 test10
test test98 test97 test 96 test95 test94
------------------------------------
I think, I could do this using Execute SQL task and write all the code in sql, but that will be cumbersome and time consuming.. Is there a simpler way to achieve this?
Thanks in advance.
I'm working on a script to merge multiple columns(30) into a single column separated by a semicolons, but I'm getting the following error below. I tried to convert to the correct value. but I'm still getting an error.
Error: "Conversion failed when converting the varchar value ';' to data type tinyint".
select
t1.Code1TypeId + ';' +
t1.Code2TypeId + ';' +
t1.Code3TypeId + ';' +
t1.Code4TypeId as CodeCombined
from Sampling.dbo.account_test t1
where t1.Code1TypeId = 20
or t1.Code2TypeId = 20
or t1.Code3TypeId = 20
or t1.Code4TypeId = 20
Hi to all of you,
I am new to SQL I have a problem that I can’t solve.
I have a column with Surname and name (SMITH, James) in one table with data I just need to separate in two columns in one Surname in the other one Name I know how to unite two columns using substrings but not to separate in two columns.
Help is highly appreciated
Picture tells all what i need. Anyway i want to combine upper two tables data like below result sets. Means they should be grouped by bsns_id and its description should be comma separated taken from 2nd table. In sql server 2012 ....
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