While working on open source Time Series Data for Grocery sales where my aim is to perform Demand forecast of Grocery Products, I completed the cleaning of data of Grocery sales data, then in order to check whether the Grocery dataset is Stationary or not, I conducted Dickey Fuller statistical test on Historical Sales column of Grocery Dataset
and got result that data is Stationary, Pls refer below output of Python code :-
ADF Statistic: -29.450181 p-value: 0.000000 Critical Values: 1%: -3.710 5%: -2.971 10%: -2.678 Reject Ho - Time Series is Stationary
Now when i visualize the historical Sales on which i conducted Statistical Dickey Fuller Test which gave result as Time Series is Stationary,But Visually it is giving output like a Curve going up and down at regular intervals demonstrating Seasonality.
Visually it shows seasonality but when conducted statistical test it says time series data is stationary, so can i proceed ahead without removing Seasonality as i will be using Regression based Models and not Time Series Models to predict the Demand Forecast of Grocery Products.
Please Advice.
