Moving averages are statistical calculations used to analyze data points by creating averages of different subsets of a dataset over time. They help smooth out short-term fluctuations and highlight longer-term trends or cycles in data, making it easier to identify patterns and relationships. By filtering out noise in the data, moving averages can effectively point out outliers and help in understanding underlying trends.
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