E-commerce customers automatic grouping by unsupervised ML/AI. Data from the Kaggle Olist dataset

Recommendation engine with a .97 AUC achieved using clustering techniques to create user features. Data represents Olist marketplace transactions and was retrieved from kaggle.com.

This project focuses on analyzing customer geolocation data from a Kaggle dataset provided by Olist. The mean goal of this Analysis is to gain insights into customer distribution and generate visualizations for better understanding of the information of this Brasilian E-commerce Company.

This is a Brazilian ecommerce public dataset of orders made at Olist Store(Kaggle)

Projeto de análise de dados do comércio eletrônico brasileiro disponibilizado pela Olist via plataforma Kaggle.

In this project the main goal for me was to use SQL to find out how different Marketing variables had performed. I used the Marketing Funnel and eCommerce datasets facilitated by Olist in Kaggle.

(Kaggle) Olist Ecommerce Dataset 분석

Exploratory Data Analysis, Machine Learning Modeling and Hypothesis Testing of the Brazilian E-Commerce Olist Dataset

The dataset has information of 100k orders from 2016 to 2018 made at multiple marketplaces in Brazil. Its features allows viewing an order from multiple dimensions: from order status, price, payment and freight performance to customer location, product attributes and finally reviews written by customers. We also released a geolocation dataset that relates Brazilian zip codes to lat/lng coordinates.

Building an end-to-end e-commerce data analytics project using python, SQL, and powerBI.

This was a university project which involved analysis of the olist datasets published on kaggle using MongoDb, R and Tableau to answer business questions

Analytical case study using the Brazilian E-Commerce Public Dataset by Olist from Kaggle.

Uma análise RFV utilizando os dados do dataset Brazilian E-Commerce Public Dataset by Olist disponível no Kaggle

Análise do dataset "Brazilian E-Commerce Public Dataset by Olist" retirado do kaggle. Link para a fonte dos dados: https://www.kaggle.com/olistbr/brazilian-ecommerce

ETL em python e KPI's de vendas em SQL: Brazilian E-commerce Public Dataset by Olist do Kaggle

This project aims to create a database from the Kaggle Olist dataset which is a collection of CSV files.

This is a school project by using dataset from kaggle: Olist E-Commerce and Marketing Dataset (https://www.kaggle.com/olistbr/brazilian-ecommerce) We have done some data exploratory analysis and machine learning in this Jupyter Notebook

使用Kaggle上共享的数据集（path = kagglehub.dataset_download("olistbr/marketing-funnel-olist")）进行MySQL数据库的练习

Análise de dados do e-commerce Olist (Kaggle) com SQL, BigQuery e Looker Studio. Projeto final do Programa Desenvolve 2025, focado em insights estratégicos e performance de vendas.

An exploration of the database of Brazilian online store OLIST using SQL. This database contains details of over 100,000 orders as well as customer details, seller details, reviews, product information, etc. Data and Schema sourced from Kaggle. https://www.kaggle.com/olistbr/brazilian-ecommerce

Repositório destinado a manter os dashboards já desenvolvidos, em cursos da Alura e também de forma individual buscando dados via web scraping e também em fontes de dados conhecidas como Olist e Kaggle

Projeto de portfólio: modelagem de banco de dados relacional MySQL a partir do dataset público Olist (Kaggle). Inclui ETL em Python, criação de MER/MMD, análises em SQL, e visualizações em Power BI/Flask.

👤This project is an end-to-end logistics and revenue audit based on the Olist E-commerce dataset from Kaggle, processed using PostgreSQL and DBeaver. I leveraged advanced SQL queries to normalize 100k+ orders, successfully identifying critical regional delivery bottlenecks and revenue leakage.

We were tasked to analyse the provided dataset of Olist Store, the largest department store in Brazilian marketplaces. using our data analytics skills, prepare a PowerBI dashboard with visualisations that answer key questions like company’s customer demographics, sales trend, orders by categories, orders changes by year, product attributes etc. Utilise created visualisations to provide recommendations for improvements. Here is a link for the Olist Dataset : https://www.kaggle.com/datasets/olistbr/brazilian-ecommerce

This is a Brazilian E-commerce public dataset of orders made at Olist Store available at Kaggle. The dataset contains information of 100k orders from 2016 to 2018 made at multiple marketplaces in Brazil. An order might have multiple items and each item might be fulfilled by a distinct seller.

O projeto de análise de dados é em cima dos do e commerce Olist divulgado por eles no site https://www.kaggle.com/olistbr/brazilian-ecommerce a ideia e passar desde o tratamento da base de dados, pela analise exploratória por cada tabela e pela base de forma geral, algum estudo em ciência dos dados e um dashboard.

For this task, I went ahead and chose the "Brazilian E-Commerce Public Dataset by Olist" dataset from Kaggle: https://www.kaggle.com/olistbr/brazilian-ecommerce. It also suffices the minimum requirement of 2 categorical and 3 numerical variables. I'll perform various types of analysis on the dataset to infer out significant results in the forms of summaries, dataframes, tables and numerous plots. In the end, I'll also demonstrate the correlation between the numeric variables from the dataset.

基于Kaggle上巴西Olist电商平台的真实交易数据，借助AARRR模型、RFM与K-Means聚类算法实现完整的用户行为分析和客户价值分析，通过数据驱动的方式优化营销策略、提升用户留存和提供业务建议

The goal is to analyze a public dataset by Olist, a Brazilian online e-commerce site that connects merchants and their products to marketplaces. Main dataset URL: https://www.kaggle.com/olistbr/brazilian-ecommerce The dataset has information of 100k orders from 2016 to 2018 made at multiple marketplaces in Brazil. Its features allow viewing an order from multiple dimensions: from order status, price, payment and freight performance to customer location, product attributes and finally reviews written by customers.

Kaggle | Olist