Multivariate Time Series

Multivariate time series refers to a set of observations recorded over time that involves multiple variables. For instance, imagine tracking the daily sales, advertising spend, and customer foot traffic of a store over months. Each of these factors can influence each other, and analyzing them together helps identify patterns, trends, or relationships. This approach provides deeper insights than looking at each variable separately, allowing businesses and researchers to make better predictions and informed decisions based on how these variables interact through time.