Data Science Statistics
Moving averages are statistical calculations used to analyze data points by creating averages of various subsets of the full dataset. This technique smooths out short-term fluctuations and highlights longer-term trends or cycles in time series data, making it easier to identify patterns and forecast future values. By continually updating the average as new data becomes available, moving averages provide a dynamic view of the underlying trends in time series analysis.
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