Hi all,

I have the following situation that I am strugling with.

I have a data set like this:

|| HOURS SPENT || TOTAL TIME ||

|| 0.1 || 0.1 ||

|| 0.2 || ? ||

|| 0.3 || 0.6 ||

|| 0.1 || ? ||

|| 0.2 || ? ||

|| 0.3 || ? ||

|| 0.1 || 1.3 ||

My goal is to go through **each** row and apply the folowing logic:

If “TOTAL TIME” is not null then “TOTAL TIME” = “TOTAL TIME”

If “TOTAL TIME” is null then “TOTAL TIME” = “TOTAL TIME” (previous row) + “HOURS SPENT”

I know I can use the missing value node to get the previous “TOTAL TIME” (previous row), the issue is when I have multiple rows where “TOTAL TIME” is null, then the missing value node will copy the last known value, which is not what I need.

So basically I would need to make the if logic in the first row, then update the “TOTAL TIME” of that row, then use that value for the next row logic, and so on.

In the end I want something like this:

|| HOURS SPENT || TOTAL TIME ||

|| 0.1 || 0.1 ||

|| 0.2 || 0.3 ||

|| 0.3 || 0.6 ||

|| 0.1 || 0.7 ||

|| 0.2 || 0.9 ||

|| 0.3 || 1.2 ||

|| 0.1 || 1.3 ||

I think this may be able to be achieve through loops but I am strugling to find the right way to solve this problem.

Any help will be appreciated!