Python-KaggleInstacart市場籃子分析
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)