Cross Cell Analysis

Question

Hi folks,
I have 3 different loan types,
Loan_type No(Customers)
A 20000
B 30000
C 40000
No I want to analyze such a way dt
A B C
A 12000 25000
B 12000 35000
C 25000 35000
Note : abow sum is not exact
where AxB says Number of people who have taken both A and B Loans etc
Please tell me how to do this analysis...
Regards
Fayaz

Answer 1

fiaz0419 wrote:
I am dissappointed here.... No one even bother to help...
Guys....Fiaz, no one here is obligated to help you. And it could very well be that either no one has an answer for you or doesn't have the time to research your issue. But saying, "I am disappointed... no one even bother [sic] to help..." will not help you as trying to impose guilt (because we aren't helping you) is almost never a motivation that's going to work.
Here is what you need to do. I did not check the syntax, so you will have to do that. But to start, your requirement is not that easy, if you want to do it right. I have thought about your issue because it intrigued me and I have the solution. Just to let you know, it took some time to think this through and you will have to complete the thought process yourself, but I have worked out the code for one of your BINS that you will have to create.
Let's start with the "A" category. The people in this category will be those who have loan type A, but no other loan types.
table.customer_name||table.loan_type = table.customer_name||'A'
...will get those customers who have loan type A... The reason I concatenated customer name with loan type is to create a unique record for each customer and his/her loan type. You can't just count customers and you can't just count loan types. Hopefully, you get this.
table.customer_name||table.loan_type = table.customer_name||'B'
...will get those customers who have loan type B...
table.customer_name||table.loan_type = table.customer_name||'C'
...will get those customers who have loan type C...
SUM(CASE WHEN (table.customer_name||table.loan_type = table.customer_name||'B' OR table.customer_name||table.loan_type = table.customer_name||'C') THEN 1 ELSE 0 END)
...will tell you whether the customer has either a loan type B or C if the CASE statement above is greater than 0. If the sum is 0, then the customer has no loan type B or loan type C.
Let's add the conditions above together:
CASE WHEN table.customer_name||table.loan_type = table.customer_name||'A' AND SUM(CASE WHEN (table.customer_name||table.loan_type = table.customer_name||'B' OR table.customer_name||table.loan_type = table.customer_name||'C') THEN 1 ELSE 0 END) = 0 THEN 'A' END
will tell you customers who have loan type A, but do not have any loan types of the B or C category and will be grouped in the BIN called 'A'
Now modify the above logic for those customers who have only B, but not A or C; for those customers who have only C, but not A or B; for customers who have A or B, but not C, etc...
This should get you started on what you need for your report.