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IBM
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Window functions like lag and lead are used to analyze data over a specific range or window.
Lag function can be used to calculate the difference between current and previous values in a time series data.
Lead function can be used to calculate the difference between current and future values in a time series data.
Window functions can be used to calculate moving averages, cumulative sums, and other statistical measures.
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