Found 9 repositories(showing 9)
PaulaM96
This is a project of EDA and RFM segmentation using Kmeans
albarpambagio
Analyze the Olist dataset with ease using Python DataAnalysis class. Fetch, clean, and visualize data on customer cities, payment types, order status, and popular seller cities. Dive into the world of data analysis with SQLite, Pandas, Matplotlib, and Seaborn. Discover insights and trends in the Olist dataset effortlessly.
ShawnHon
Cleaned and visualized Olist's data to find insights and provide recommendations.
alexkwj
No description available
ahuersine
No description available
maneesha-bogahawatta
This project builds a Python-based ETL pipeline for retail sales data. It extracts raw CSV files, cleans and transforms the data using Pandas, and loads the processed output into structured folders. The pipeline demonstrates core data engineering skills including data cleaning, validation, and workflow automation.
mabdullahalidata
No description available
Poojagarwal-13
Data analysis using advanced MySQL to gain insights from the Brazilian E-Commerce Public Dataset by Olist.
The-Clean-Sheet
Uncovering insights from Brazilian e-commerce: A comprehensive data analysis project utilizing the Olist dataset to optimize business performance, customer experience, and logistics efficiency. #DataAnalysis #EcommerceAnalytics #Python #SQL #PowerBi #OlistDataset
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