What type of calculations can the Window function perform?

The Window function is specifically designed for performing calculations that take into account a designated set of rows, known as a "window," within a dataset. This capability allows for row-level calculations, which means that the function can compute values for each row based on the data from that row and the rows specified within the defined window.

For example, you can use a Window function to calculate a running total, calculate a moving average, or determine the rank of each row based on specific criteria—all of which require examining the context of surrounding data points.

This functionality significantly enhances data analysis, as it allows you to derive insights and perform calculations that are contingent upon the relationships between multiple rows of data rather than just performing single aggregation tasks over the entire dataset.