First of all, thanks a lot for this nice share. I see you have put some good thought on the forecast functions and so on.
You library can be handy but there is one important feature missing.
Let's say I have incomplete data, for example, I have one value every one minute, but for 10 minutes I have missing data. If I use the MA function, for a period of 60, the output will be wrong, because the algorithm considers that the data is complete.
Do you know a little trick to detect missing data? We would need to consider the dates in that case and not only the values...
First of all, thanks a lot for this nice share. I see you have put some good thought on the forecast functions and so on.
You library can be handy but there is one important feature missing.
Let's say I have incomplete data, for example, I have one value every one minute, but for 10 minutes I have missing data. If I use the MA function, for a period of 60, the output will be wrong, because the algorithm considers that the data is complete.
Do you know a little trick to detect missing data? We would need to consider the dates in that case and not only the values...