Description of lag.eps follows

The LAG function in SQL is used to access data from a previous row in the result set. It allows you to compare values in the current row with values in the previous row, making it a valuable tool for time-based analysis and trend identification.



above it can be seen that we have a sales table with a timestamp column. You can use this lag to calculate the time gap between consecutive sales.

Example 2: Identifying Trends

LAG can be instrumental in identifying trends over time. Consider a scenario where you want to track the percentage change in sales from the previous month:

example 3: Dealing With Null Values

LAG returns NULL when there is no previous row to compare. You can use the COALESCE function to replace NULL values with a default value:

SELECT column_name, LAG(column_name) OVER (ORDER BY order_column) AS prev_value
FROM your_table
WHERE your_conditions;

Example 4

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