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Time series are data observed over time (either in continuous time or at discrete time periods).

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forecast(method ='arima') ; auto.arima() function, how to avoid forecast not in line with hi...

Try doing the following: Generate the ACF and PACF graphs for your data. They will give you your 'p' and 'q' values in the ARIMA model Check your data for non-stationarity and remove it using differ …
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