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The document covers topics in quantitative analysis related to time series graphics and decomposition, focusing on learning objectives such as setting up time series in R, correlation, autocorrelation, and various transformations. It explains concepts like correlation coefficients, autocorrelation functions, and the importance of identifying trends and seasonality in time series data. Additionally, it discusses methods for data adjustments, including calendar, population, inflation, and mathematical transfo

Author

ese03920

Language

EN