Temporal analysis is the study of how data changes over time. It involves examining trends, patterns, and relationships within datasets to understand temporal dynamics. This type of analysis is commonly used in fields like economics, environmental science, and social sciences to make informed decisions based on historical data. By utilizing various techniques, such as time series analysis and trend analysis, researchers can identify significant changes and predict future outcomes. Temporal analysis helps organizations and individuals recognize cycles, seasonal variations, and long-term shifts, enabling them to adapt strategies and improve planning based on temporal insights.