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Time Series Analysis

Time series analysis is a statistical method used to analyze data points collected or recorded at specific time intervals. It helps identify trends, patterns, and seasonal variations over time, making it useful for forecasting future values. For example, businesses might use time series analysis to predict sales based on past performance, while economists may analyze GDP growth over years. By understanding these patterns, decision-makers can make more informed predictions and strategies based on historical data.

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    Time series analysis is a statistical method used to analyze data points collected or recorded at specific time intervals. It helps identify patterns, trends, and seasonal variations over time, making it valuable for forecasting future events. For example, businesses use time series analysis to predict sales, while economists analyze GDP growth over years. By understanding how a variable changes over time, organizations can make informed decisions and strategies based on historical data trends. Essentially, it's a way to make sense of data that evolves and can change at different points in time.