Superstore Sales Forecasting using ARIMA Model

Conducted Exploratory Data Analysis (EDA) on Superstore sales data to understand general trends, detect seasonal patterns, identify outliers, and gain insights for time series forecasting. Focused on visualizations to analyze sales trends for categories like "Furniture," "Technology," and "Office Supplies," detect seasonal patterns, identify outliers, assess data stationarity, explore correlations, and compare sales performance across categories.