SALES STATISTICS ANALYSIS
The article deals with Data Mining algorithms for analyzing the shopping cart of store "X". The authors conducted a theoretical study of the algorithms for finding associative rules and the method of principal components; a study of the possibilities of applying Data mining algorithms to analyze the shopping cart; finding and researching statistical data in the market basket of consumers, analyzing the market basket of consumers and identifying associative rules in it using the apriori algorithm, identifying the standard annual shopping cart of a buyer using the method of principal components.