Project 3: Time Series Forecasting of Store Sales
Time series analysis is a crucial aspect of understanding and predicting sequential data. This notebook demonstrates various techniques and methodologies to analyze time series data, including preprocessing steps, trend detection, seasonality analysis, and forecasting.
Forecasted store sales in Ecuador using Time Series Analysis. Conducted small outlier corrections. Identified underlying trends with a yearly moving average plot and assessed weekly and yearly seasonal behavior using seasonal plots, verified with the periodogram.
Identified cyclic behavior using PACF and modeled it with an AR(8)-process.
