Hi Mukesh,
I'm assuming that 'previous data history' means 'previous value in that column which was within this range'. This seems like a good application of the fillmissing function in MATLAB
First find the values which are not in your desired range using simple comparison. Set these values to any form of missing value in MATLAB (NaN, [], etc). Once this is done, just use fillmissing with the kind of technique you require for the filling.
Here's a small example:
A = [10 15 17 18 45 11 14 87 43]';
A(A>20) = NaN;
fillmissing(A,'previous');
The original column A is:
A =
10
15
17
18
45
11
14
87
43
After you run the code, it becomes:
10
15
17
18
18
11
14
14
14
Hope this helps.
