I have data like
Table1:
YEAR PD REAL_GDP REAL_PRIVATE_CONSUMPTION
2018 0.007509274 140712.6 78450.8
Table2:
description value
Debt_service_ratio_paid 0.06
Personal_disposable_income 0.000000005
Intercept 2.0004
Real_GDP -0.004
Debt_service_ratio_paid 0.06
So basically some Columns of table one are rows in table2 . I want to multiply value of for ex. real GDP so output should be 140712.6*-0.004....
I tried unpivot.. but the problem here is wanted to calculate this for those column only which are common in table 1 and table 2 .... and rows will be added in table two in future ... so I wanna know if there is any solution for dynamic unpivot where I can take common columns of both the table and those columns only I need to unpivot in first table.
Related
Need help with this issue. I have a Develop, i need find the duplicate values in SQL, after need Sum the INVOICE_AMOUNT and Divide for individualy amount Example.
FA-0001 $25.00 BILL-0001
FA-0001 $75.00 BILL-0002.
I need SUM TOTAL of this invoice. SUM(AMOUNT_INVOICE)= $100.00, after divide this result with the individual amount. Example 100.00/25=0.25 , etc etc. and this percentage multiply for DET_SOL_AMOUNT.
I need apply this query in duplicate values.
I try with this query.
UPDATE [T4DET] SET [DET_SOL]=(([LOC_AMOUNT]/SUM([LOC_AMOUNT]))*[DET_SOL_CALC]) FROM [1WEB] WHERE [1WEB].[INVOICE] IN (SELECT [T4DET].[ASSIGNMENT] FROM [T4DET] GROUP BY [T4DET].[ASSIGNMENT] HAVING COUNT(*) > 1)
Thanks for your Help.
If I understood what you want to do correctly, it is easy with Excel. You need to write formulas in 2 columns only, for example:
Group Amount Bill No DET_SOL_CALC Sum of Group Result
FA-0001 $25.00 BILL-0001 2 100 0.5
FA-0001 $75.00 BILL-0002 2 100 1.5
FA-0002 $200.00 BILL-0001 5 600 1.666666667
FA-0002 $100.00 BILL-0002 5 600 0.833333333
FA-0002 $300.00 BILL-0003 5 600 2.5
Put your data in columns A, B and C
ColumnD: DET_SOL_CALC
Column E formula should be: =SUMIF($A$2:$C$6,A2,$B$2:$B$6)
Column F formula should be: =B2/E2*D2
Row 1 is headers of your data
put these formulas in row to and drag them down to the last row of your data, your numbers should be calculated correctly.
Please hit the check mark if this is your answer!
The alter Solution is, Create a Temporal Table with SUM and GROUP BY and agregate three columns for calculations
Example
DET4TEMP
ASSINGMENT NVARCHAR
DOC_AMOUNT MONEY
INSERT INTO 4DETTEMP (ASSINGNMENT,[TOTAL]) ASSIGNMENT, SUM(DOC_AMOUNT) FROM FBL5N GROUP BY ASSIGNMENT
and after query is+
Obtain DET SOL Amount in the other table.
UPDATE 4BET SET DET_SOL_CAL=T2.INCOMING_AMOUNT FROM FBL5N T2 WHERE ASSIGNMENT=T2.INV_CON
Obtain DOC AMOUNT TOTAL of the temporal table.
UPDATE 4BET SET DOC_AMNT_TOTAL=T2.[TOTAL] FROM 4DETTEMP T2 WHERE ASSIGNMENT=T2.ASSIGNMENT
Obtain the Calculation Percentage.
UPDATE 4BET PERC_CAL_AMNT=(DOC_AMNT_TOTAL/DOC_AMNT), DET_SOL=(PERC_CAL_AMNT*DET_SOL_CALC)
after delete temp tables and finish.
This is my solution. The question is Viable?
I have an originations data set with loan ids. I then have a corresponding dataset with performance data for each of these loans ids, which can be anywhere from 10-40 rows in the performance data set.
The start date of each of the performance loans is not the same either, although some do overlap. What I want to do is take every loan id group in the performance data set, and then create a row of a certain column value across all occurrences in the data set. It doesn't matter if they start on different dates, I just want to align the values as this is the first value for loan id x and y.
For example:
ID Date Val
3 201601 100
3 201602 102
3 201603 103
--> Result:
ID Val1 Val2 Val3
3 100 102 103
I'm having two issues. One is the differing size of performance data for each id. I can't construct a matrix with differing lengths of rows. I'm assuming I'll need to append 0's to the end of each row to meet a predefined width.
My second issue is that I'm not sure how to read through a the performance data set to group loans, extract the value column, construct the column into a row for that id, and then insert into a matrix. I know how I would do this in Python but I need to use SAS. I can construct tables in SAS, but I'm not sure how to append rows, only columns.
If someone could provide some guidance on this it'd be a great help.
Anyone who runs into a similar issue it ended up being only a few lines of code.
proc transpose data = new_data
out = new_data1;
var trans_state;
by id;
run;
The output will be
IMAGE -
Please refer to the image for better understanding of the scenarios
- For input from table I have 5 columns COL1,COL2,COL3,COL4,COL5
- Scenario 1, 2, 3, 4 explains the types of input I will receive. The Value in Col 4 can vary(for example 31-35 or 36-39 for same value in Col1)
-The column SUM is summation of values for all numbers in VALUE column of each scenario, and that has to be populated in all the rows. Like 50 in each cell for Scenario 1 under Column (SUM)
The requirement -
Summation to get the Value ex- 50 and then display all the rows (3-20) + Column G in the out put table
So input table has 17 rows 5 Columns(B,C,D,E,F) Output should have 17 rows 6 columns(B,C,D,E,F,G)
I could do the summation by grouping and using aggregate transformation in Informatica but I cannot display all the rows as grouping returns one row.
Do an aggregated sum based on the columns B, C, and D and then use a Joiner transformation to join your aggregated output (4 rows) with original source rows (17 rows). Do not forget to use sorted input in the joiner, which is mandatory for this kind of self join.
Source ------> Sorter ----> Aggregator -----> Joiner ----->Target
| ^
|________________________________|
Configure the joiner for normal join on the columns B, C and D
Why don't you just use the SUM(Value) OVER (PARTITION BY COL1, ..., COLN) AS ValueSum analytical functionality in Netezza? All you need to do is to define how to partition the sums.
Read more here: https://www.ibm.com/support/knowledgecenter/SSULQD_7.2.1/com.ibm.nz.dbu.doc/c_dbuser_report_aggregation_family_syntax.html
I have a powerpivot table that contains 2 columns:
Column 1 contains strings.
Column 2 contains comma delimited strings.
I would like to be able to display all the rows from column 1 when rows from column 2 contains the selection from a filter or slicer. For example:
String Values
ABCD A,A,B
EFGH A,C
if A is selected I would display both rows, if B is selected I would display only row 1...etc.
I know I can split the records - but this is not practical for me - the above is only the top of the iceberg. VBA is out of the question since this will published in SharePoint. Anybody has an idea on how I could do that ? Thanks.
I found the solution in a blog from Javier Guillem:
http://javierguillen.wordpress.com/2012/02/10/simulating-an-approximate-match-vlookup-in-powerpivot/
If in my example the name of the table is "facts", I create a second unlinked table called dimRef that I populate with all possible values that I am interested to match: A,B,C,D...etc.
Then I define the measure M as:
M:=If ( Hasonevalue(facts[Values] ),
Calculate (
LASTNONBLANK (dimRef[String], 1 ),
Filter ( dimRef, SEARCH(dimRef[String],Values(facts[String]),1,0) > 0 )
)
)
I can then use the string column of the facts table and the measure in a pivot table and use dimRef as a selector. If filters the row as per the selection.
One small detail: the measure is not available in PowerView...Anybody knows why ?
How to add two cloumns with the same name from different tables. It needs to be dymanic, because i have columns based on months. Below is the sample data. which i would use to calculate the moving 12 month average for attrition.
Transferout Oct'11 Nov'11
3310ED
3310FL
3310HD 1
3310PZ
3310RC
3310SH
3310SM 1
Terinations Oct'11 Nov'11
3310ED
3310FL
3310HD 1
3310PZ 1
3310RC
So according to the column name and dept id in the row filed the above two tables needs to be added and later divided by the head count of the respective dept ids using the same column headings in a diff table
Looks like you can use the LOOKUPVALUE function or the RELATED function (if the tables are related).