Compare the data between the current line and the previous line to identify the differences or changes between adjacent lines.
Calculate the time difference, for example, the time difference between the order placement time of one order and the order placement time of the previous order.
Calculate the cumulative total, such as determining the difference between the daily sales amount and the previous day’s sales amount.
In data preprocessing, such as in machine learning, the lag function can be used to preprocess time series data by extracting features for model training.
Data analysis and reporting can be done using the lag function to analyze and display data, such as examining the changes of a certain indicator over different time periods.
