Time-series data is a sequence of data points collected at specific intervals, exhibiting temporal ordering. It helps track changes, identify trends, and analyze seasonal variations.
Applications of time-series data include forecasting future values, anomaly detection, trend analysis, and event detection for various fields like finance, healthcare, and web analytics.
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