Brazilian E-Commerce Public Dataset by Olist

Dataset Overview

The Brazilian E-Commerce Dataset by Olist provides an extensive collection of 100,000 anonymized order records from 2016 to 2018, spanning multiple marketplaces in Brazil. This dataset is a powerful resource for analyzing e-commerce trends, customer behavior, logistics performance, and product attributes. With features that allow multi-dimensional analysis, the dataset includes information on order status, pricing, payment methods, freight logistics, customer reviews, geolocation data, and more.

Additionally, this dataset is complemented by a Marketing Funnel Dataset, enabling researchers and businesses to analyze orders from a marketing perspective.

Key Features

1. Comprehensive Order Data:

   • Track orders through their lifecycle: order status, pricing, payment details, and delivery performance.

2. Customer Reviews:

   • Includes customer satisfaction scores and written feedback, anonymized by replacing brand mentions with Game of Thrones great houses.

3. Geolocation Insights:

   • Geolocation dataset maps Brazilian zip codes to latitude and longitude coordinates, enabling regional analysis and logistics optimization.

4. Product Attributes:

   • Detailed product-level insights, including category, dimensions, and performance metrics.

5. Multi-Item Orders:

   • Analyze orders containing multiple items, each potentially fulfilled by different sellers, for a deep dive into marketplace dynamics.

This dataset is sourced from Kaggle.