Table 1.

A summary of the features in the dataset.

Type	Features
Key (6)	OnlineSalesKey, CustomerKey, GeographicKey, ProductKey, ProductSubcategoryKey, ProductCategoryKey
Numeric (9)	DiscountAmount, TotalChildren, NumberCarsOwned, YearlyIncome, NumberChildenAtHome, UnitPrice, Weight, PromotionKey, DiscountPercent
String (17)	FirstName, LastName, Gender, Education, MaritalStatus, CityName, StateProvinceName, RegionCountryName, ProductName, ProductSubcategoryName, ProductCategoryName, ClassName, BrandName, PromotionType, AsiaSeason, EuropeSeason, IsWorkDay
Date (4)	BirthDate, StartDate, EndDate, DateKey