Temporal data refers to data that is associated with a specific point in time or a time interval. This type of data is often used to record events or changes that occur over time, such as financial transactions, weather measurements, or human activities. Temporal data is crucial in various fields such as finance, meteorology, and social sciences. The analysis of temporal data can help to uncover trends, patterns, and relationships between variables over time, and is often used to make predictions or decisions based on historical data.