GitHub / MoMo790-m / Amazon-Sales-EDA
This project analyzes Amazon sales data to explore customer behavior, best-selling product categories, and seller performance by month and marketplace. Using Python tools like Pandas, Matplotlib, and Seaborn, we turn raw data into clear insights to support data-driven decisions.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MoMo790-m%2FAmazon-Sales-EDA
PURL: pkg:github/MoMo790-m/Amazon-Sales-EDA
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 2.39 MB
Dependencies parsed at: Pending
Created at: 4 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 4 months ago
Topics: data-cleaning, ecommerce-data, exploratory-data-analy, exploratory-data-analysis, matploblib, pandas, sales-analysis, seaborn