I am using a publicly available data Kaggle: Rossmann Store Sales and trying to forecast sales. I am using Python.
My timeseries is stationary, confirmed via the Dickey-Fuller test. However, I wanted to perform seasonal decomposition.
Am I doing something wrong? or looking at it the wrong way?
My understanding is
residuals should show no autocorelation because
seasonal have been taken out or adjusted for.
Update 2: As requested by @IrishStat, I am posting the original data
Head(10): Date 2013-01-01 0 2013-01-02 5737 2013-01-03 5292 2013-01-04 5623 2013-01-05 5018 2013-01-06 0 2013-01-07 9277 2013-01-08 7479 2013-01-09 6681 2013-01-10 6680 Name: Sales, dtype: int64
This is the plot of original data: