I have a dataset about sales per day of certain products at the ITEM/DAY/STORE level , I've plotted the series and visually examined it for any outliers, volatility, or irregularities.
And this is what i got :
So there is huge spikes and drops in sales , so i used the tsclean() function - tsclean() identifies and replaces outliers using series smoothing and decomposition-
And this is what i got after plotting :
But now , i'm wondering if what i did was right or not , in the sense maybe those fluctuations were more natural fluctuations than outliers , even though it seems quit weird to me to have a spike in sale of 4000 units in a day and than drops to 2000 the next day.
Any insight would be much appreciated , thank you .