I have time series data from sensor in an industry. My objective is to use this raw measurements and elaborate them with the data validation and reconciliation method,in order to get a model of the system. Can I use Python to do this? Can someone guide me a bit on how to proceed and which libraries should I use?
I tried to use Pandas to Validate the data, doing a resampling and a missing data imputation with just the mean. Do you know other methods that can i use for the data validation? I should also do a research on this but I am quite disoriented about how to use complex methods as Knn or missing forests...
