Time Series

Time series is a statistical technique that deals with time-indexed data. It involves analyzing and modeling data points collected at regular intervals over time. Time series analysis is used to identify patterns, trends, and seasonality in the data, as well as to make predictions about future values. This technique is widely used in various fields, including finance, economics, weather forecasting, and social sciences. Time series analysis involves various methods, including decomposition, smoothing, and forecasting. Decomposition involves breaking down the time series into its components, such as trend, seasonality, and random fluctuations. Smoothing involves removing the random fluctuations to better identify the underlying patterns. Forecasting involves using the identified patterns to make predictions about future values of the time series.
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