Time series cross-sectional data

Time series cross-sectional data combines two types of information: data collected over multiple time periods (time series) and data from different entities or groups at those times (cross-sectional). For example, tracking the annual sales of several stores over several years captures how each store performs over time while also allowing comparison across stores. This data type helps analyze patterns, trends, and relationships both across entities and through time, providing a comprehensive view of how different units change or behave, which is useful for making informed decisions or studying dynamic systems.