Dataset Hub

The dataset consists of five interrelated tables, each containing key information about customers, transactions, branches, and merchants. These tables include the customers table, genders table, cities table, transactions table, branches table, and merchants table.

The Brazilian E‑Commerce Public Dataset by Olist contains order information from 2016‑2018 across multiple marketplaces in Brazil, with 100,000 orders. Features allow multi‑dimensional analysis of orders, including status, price, payment, shipping performance, customer location, product attributes, and customer reviews. A geographic dataset with latitude‑longitude coordinates linked to Brazilian postal codes is also provided.

Amazon review data includes reviews (rating, text, helpful votes) and product metadata (description, category information, price, brand, and image features), with versions from 2014 and an updated version from 2018.

The Amazon Prime user dataset comprises 2,500 fictional users with detailed attributes such as name, email, location, subscription plan, payment information, and engagement metrics. It also includes demographic data (gender, birthdate) and preferences (favorite genres, devices used). The dataset represents diverse demographics, subscription plans, and usage patterns, enabling analysis of user behavior, preferences, and interaction with the Amazon Prime platform. It is intended for research and does not reflect real Amazon Prime users.