Python-KaggleInstacart市场篮子分析 orders (3.4m rows, 206k users): order_id: order identifier user_id: customer identifier eval_set: which evaluation set this order belongs in (see SET described below) order_number: the order sequence number for this user (1 = first, n = nth) order_dow: the day of the week the order was placed on order_hour_of_day: the hour of the day the order was placed on days_since_prior: days since the last order, capped at 30 (with NAs for order_number = 1) products (50k rows): product_id: product identifier product_name: name of the product aisle_id: foreign key department_id: foreign key aisles (134 rows): aisle_id: aisle identifier aisle: the name of the aisle deptartments (21 rows): department_id: department identifier department: the name of the department order_products__SET (30m+ rows): order_id: foreign key product_id: foreign key add_to_cart_order: order in which each product was added to cart reordered: 1 if this product has been ordered by this user in the past, 0 otherwise where SET is one of the four following evaluation sets (eval_set in orders): "prior": orders prior to that users most recent order (~3.2m orders) "train": training data supplied to participants (~131k orders) "test": test data reserved for machine learning competitions (~75k orders)