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What is the most classic example of data mining "beer+diapers"

In a supermarket, people found a particularly interesting phenomenon: diapers and beer, two unrelated commodities, were actually put together. But this strange move has greatly increased the sales of diapers and beer. This is not a joke, but a real case of Wal-Mart supermarket chain in the United States, which has always been talked about by merchants.

American women usually take care of their children at home, so they often ask their husbands to buy diapers for their children on their way home from work, and their husbands will also buy their favorite beer at the same time. This discovery finally brought a lot of profits to the merchants.

Extended data:

Beer and Diapers is a book published by Gao Yong by Tsinghua University Publishing House in 2008. The book tells the connection and enlightenment between beer and diaper sales.

This story is the result of analyzing historical data by data mining technology, which reflects the inherent law of data. In addition, Wal-Mart also sent market researchers and analysts to investigate and analyze the data mining results. A large number of practical investigations and analysis reveal an American consumer behavior tendency hidden behind "diapers and beer": in the United States, some young fathers often go to the supermarket to buy baby diapers after work, and 30% ~ 40% of them will buy some beer for themselves. The reason for this phenomenon is that American wives often tell their husbands to buy diapers for their children after work, and husbands will bring back their favorite beer after buying diapers.

References:

Baidu encyclopedia-beer and diapers