Applying the ADfuller test on the Perrin-Freres-monthly-champagne dataset to check whether my data is stationary or not and eventually applying differencing method and creating 23 months extra date, to use it for the Sarimax model to predict sales for the next 23 months on the p,d, q values respectively.
Visualizing My data
Applying the Adfuller test (used for checking if stationary or not) and then accordingly Converting to static from non static, by applying differencing method.
Applying the Sarimx Model
Finally visualizing my data for the next 23 months using SARIMAX model
THE END
Applying the ADfuller test on the Perrin-Freres-monthly-champagne dataset to check whether my data is stationary or not and eventually applying differencing method and creating 23 months extra date, to use it for the Sarimax model to predict sales for the next 23 months on the p,d, q values respectively.