Data Analysis Report based on Brazilian E-Commerce Public Dataset by Olist

Data Analysis and RFM Segmentation with the Olist Dataset Using PostgreSQL

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.

Embarking on a Solo Journey: Exploratory Analysis of Brazilian E-commerce Using Tableau, Python, Jupyter Notebook, and VS Code

Abstract: For this project the dataset we’ve chosen is the dataset of a Brazilian Ecommerce website “OLIST”. The details which OLIST has provided us are 9 different datasets each detailing the customers, their geolocation, orders placed, orders sold, items available, payment methods used by customers, order reviews & order delivery information. The analysis on the dataset is done through various methods like recommendation systems based on carrying out predictive analytics on users’ preferences, predicting the future sales on the basis of purchase date & discovering unsatisfied customers prone to certain product categories, clustered the customers based on Recency, Frequency and Monetary value. The above analysis has been in carried out in Apache pyspark 2.4.1 on both Cloudera platform and on Data bricks cloud environment.

A beginner-friendly data analysis project exploring an e-commerce sales dataset using Python.

Olist Dataset Analysis with dbt

My very basic data analysis when working with tasks from Turing College

No description available

This is the April edition of the monthly data analysis challenge

No description available

Brazil E-Commerce Analysis using Olist Dataset | SQL (MySQL) for data processing & Tableau for visualization | Explore sales trends, customer behavior, and delivery performance

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

Performance and profitability analysis of the Olist Brazilian E-commerce dataset.

End-to-end SQL analysis of the Brazilian Olist E-commerce dataset

Exploratory data analysis and Streamlit Dashboard for Brazilian E-commerce dataset(Olist)

This repository is an Exploratory Data Analysis on Olist dataset using Pyplot.

SQL-based data analysis of the Olist Brazilian E-Commerce Dataset using Google BigQuery.

This project performs a comprehensive analysis of the Brazilian E-commerce Public Dataset by Olist

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

Brazilian E-Commerce Public Dataset by Olist analysis project with Power BI, Tableau and Qlik Sense

SQL + Python analysis of sales, customer behavior, and delivery performance using the Olist e-commerce dataset

Logistics & delivery performance analysis using the Olist dataset (on-time rate, delivery time, late risk, freight cost).

A portfolio project demonstrating Python, SQL, data analysis, and financial modeling skills using the Olist Brazilian E-Commerce dataset.

SQL-based analysis of the Olist E-Commerce dataset focusing on customer retention, revenue metrics, product performance, and operational insights.

Customer Retention Analysis using Olist E-Commerce dataset to determine how online retailers can turn one-time shoppers into repeat buyers.

End-to-end analysis of Olist Brazilian E-Commerce dataset using SQL, Python, and Power BI. Includes data cleaning, customer behavior analysis, business insights, and interactive dashboards.

An in-depth analysis of the Olist e-commerce dataset, exploring sales trends, customer behavior, and operational insights using SQL and Power BI.

Complete data analytics workflow on the Olist e-commerce dataset: data ingestion in SQL, cleaning and analysis using Python, and interactive visualization in Power BI.

This project presents an end-to-end Data Analysis solution using the Olist E-Commerce dataset. It covers data cleaning, transformation, analysis, and interactive dashboarding to derive actionable business insights.