Time Series Analysis Overview Time series analysis examines data points collected over time to identify patterns, trends, and seasonality for forecasting and understanding temporal dynamics. When to Use - Forecasting future values based on historical trends - Detecting seasonality and cyclical patterns in data - Analyzing trends over time in sales, stock prices, or website traffic - Understanding autocorrelation and temporal dependencies - Making time-based predictions with confidence intervals - Decomposing data into trend, seasonal, and residual components Core Components - Trend : Long-ter…