Time-series data consists of sequential data points collected or recorded at specific time intervals, enabling the analysis of trends, patterns, and seasonal variations over time. It is crucial for forecasting, anomaly detection, and understanding temporal dynamics in various fields such as finance, meteorology, and economics.