In several studies, we often deal with missing datasets. For example, if we have less than 10 data on average for an entire month, what is the best way to handle those missing data? I do not think linear interpolation is good enough to use in such cases. Please share the techniques of handling these situations in our field of research. I would be happy to hear the response from any sector.

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