https://github.com/ahmedmmahrous/sales-data-analysis-e-commerce-case-study-

Sales Data Analysis E-Commerce Case Study
https://github.com/ahmedmmahrous/sales-data-analysis-e-commerce-case-study-

deployment e ecommerce pandas plotly python retail seaborn statistics streamlit

Last synced: 5 months ago
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Sales Data Analysis E-Commerce Case Study

• Host: GitHub
• URL: https://github.com/ahmedmmahrous/sales-data-analysis-e-commerce-case-study-
• Owner: AhmedMMahrous
• Created: 2024-07-18T22:08:04.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2025-02-11T08:38:31.000Z (8 months ago)
• Last Synced: 2025-02-11T08:43:04.927Z (8 months ago)
• Topics: deployment, e, ecommerce, pandas, plotly, python, retail, seaborn, statistics, streamlit
• Language: Jupyter Notebook
• Homepage:
• Size: 4.59 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# `Sales Data Analysis E-Commerce Case Study `

**Link**  ==> https://dataanalysisecommerce.streamlit.app/



# Table of Contents

 1- Importing Libraries

 2- Importing Dataset

 3- Basic Data Exploration(Understanding the Dataset

 4- Data Cleaning

 5- Exploratory Data Analysis (EDA)

[![Untitled-2024-06-12-2115.png](https://i.postimg.cc/PxSwV0jn/Untitled-2024-06-12-2115.png)](https://postimg.cc/tZVJYSJB)

# Our Questions:

`(Q1) What is Feather & how to read data from data ?`

`(Q2) Which is the best month for sale ?`

`(Q3) Which city has max order ?`

`(Q4) What product sold the most & Why?`

`(Q5) Understanding Trend of the most sold product?`

`(Q6) What products are most often sold together?`