synthetic_transactions_50k

Data Type: This dataset contains 50,000 entries and 10 columns, all of which are of boolean data type (bool). This indicates that each column represents a specific item (e.g., Bread, Butter, Coffee) and the values are either True or False, likely indicating the presence or absence of that item in a transaction. Description: Count: Each column has 50,000 non-null entries, meaning there are no missing values in this dataset. Unique Values: All columns have 2 unique values (True and False), as expected for boolean data. Top Value: For all columns, the most frequent value is False, with frequencies ranging from 33,807 to 34,162. This suggests that the items are generally not present in most transactions.数据类型：本数据集共计50000条记录、10个列，所有列均为布尔数据类型（bool）。每一列对应一类特定商品（例如面包、黄油、咖啡），其取值为True或False，大概率代表单次交易中是否包含该商品。 数据集描述： 计数情况：所有列均包含50000条非空记录，表明该数据集无缺失值。 唯一值情况：所有列仅存在2个唯一值（True与False），符合布尔数据类型的特性。 最高频取值情况：所有列的最频繁取值均为False，出现频率介于33807至34162之间。这表明多数交易中通常不包含对应商品。