Simplified Instacart Market Basket Dataset
Simplified data from the Instacart Market Basket Dataset
@kaggle.brendanartley_simplifiedinstacartdata
Simplified data from the Instacart Market Basket Dataset
@kaggle.brendanartley_simplifiedinstacartdata
FROM: Instacart Market Basket Dataset
The dataset for this competition is a relational set of files describing customers' orders over time. The goal of the competition is to predict which products will be in a user's next order. The dataset is anonymized and contains a sample of over 3 million grocery orders from more than 200,000 Instacart users. For each user, we provide between 4 and 100 of their orders, with the sequence of products purchased in each order. We also provide the week and hour of day the order was placed, and a relative measure of time between orders. For more information, see the blog post accompanying its public release.
CREATE TABLE all_order_products (
"order_id" BIGINT,
"product_id" BIGINT,
"add_to_cart_order" BIGINT
);CREATE TABLE orders (
"order_id" BIGINT,
"user_id" BIGINT,
"timestamp" TIMESTAMP
);CREATE TABLE products (
"product_id" BIGINT,
"product_name" VARCHAR,
"aisle_id" BIGINT,
"department_id" BIGINT
);Anyone who has the link will be able to view this.