Reputation: 2274
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.
Upvotes: 0
Views: 118
Reputation: 2274
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
Upvotes: 0