Time Series Forecasting of Superstore dataset

About the Dataset:

• The superstore sales dataset can be downloaded from here.
• The dataset contains the sales details of 3 categories: Furniture, Office Supplies, and Technology.
• This is a time series data of 4 years from the year 2014 till 2017.

Description of the attached files:

• Superstore.xls contains the superstore sales dataset.
• Analysis.ipynb contains my complete analysis of Sales dataset with forecasting using ARIMA and SARIMA models.

References:

• A Guide to Time Series Data Forecasting with ARIMA in Python3
• A Gentle Introduction to SARIMA for Time Series Forecasting in Python