Forum Discussion
Cummulative Trending View
Hi,
I wanted calculate a cummulative view.
My table looks like below,
| Loan ID | Date | Status |
| 1 | 2-Jan | Contracted |
| 1 | 3-Jan | PTD |
| 2 | 4-Jan | Contracted |
| 3 | 5-Jan | Contracted |
| 4 | 1-Feb | Contracted |
| 5 | 1-Feb | Contracted |
| 5 | 2-Feb | PTD |
| 2 | 1-Mar | PTD |
| 6 | 2-Mar | Contracted |
| 4 | 3-Mar | PTD |
I wanted to calculate how many loans are there in Contracted and PTD status as of Jan, feb and march.
my table should look like this,
| Contracted count | PTD Count | |
| Jan | 2 | 1 |
| feb | 3 | 2 |
| march | 2 | 4 |
As of January, There are 3 loans, but for loan id 2 and 3, the last stage was Contracted for that month but for loan ID 1 the last stage is PTD. Therefore, the Contracted Count is 2 and PTD count is 1.
As of February, There are two new loans 4 and 5, the contracted count will 3 since loan id 2 and 3 from the previous month is still in Contracted and loan id 4 in feb is also in Contracted. Therefore the count is 3.
Similarly for PTD, loan id 1 from jan month and loan id 5 from feb is still in PTD. Therefore, the PTD Count is 2.
As of March, There is one new loan id 6, the contracted count will be 2 since Loan ID 3 and 6 still remains in contracted (Loan id 2 and 4 has moved to next stage PTD so it is excluded). Similarly for PTD, the count is 4 ( loan id 1 from jan, loan id 5 from feb and loan id 2 and 4 in march).
How do i calculate this?
my visual should look like
Please Help!!
Thanks,
Dharani
11 Replies
- Ashish_MathurSuper User
- AnonymousNot applicable
Hi Sir,
This works fine when it is applied to this smaller dataset. but when i apply it to my larger dataset (which is something similar with lot more statuses), the measure 2 and 3 which you have calculated comes to be empty. Please give me any leads where it would have gone wrong.
Thanks,
Dharani
- Ashish_MathurSuper User
If it working on a small dataset, it should also work on a large one. I cannot guess the mistake which you are commiting.