Time series data refers to a sequence of data points indexed in chronological order, and it has unique properties that make it valuable for various applications. Unlike other types of data, time series data inherently has a natural time order, which is essential for certain industries such as finance, meteorology, and machine learning. Time series data is used for forecasting, signal detection, anomaly identification, and managing large datasets from IoT devices, among other use cases. Its primary advantage lies in providing concrete metrics that help users make informed decisions and monitor changes over time. Time series data has become increasingly important in various fields, including engineering, DevOps, and scientific research.