Time series guided analysis

In this workflow we have taken grocery dataset for 10 stores contains data for 50 different items. This workflow can be deployed for a guided analytics webportal, i.e. easy to use dashborad for time series inspecction and forecasting.

Steps:

* Data preparation: data loading, data exploration, data imputation

* Selecting parameters and filtering data: selcting particular store, item , setting parameters for weekly/monthly stats visualizations

* data visualizations: data inspection , weekly/monthly sales

* seasonality inspection: seasionality inspection, seasonality removing, lag preparation

* model training and evaluation: traing model on time series data, matics evaluation, line plot for performance