CodeAlpha_WebScraping

Project Overview

This project was completed as part of the CodeAlpha Data Analytics Internship.

The objective of this project is to collect data from a website using web scraping techniques and perform data analysis to generate meaningful insights.

Technologies Used

• Python
• Requests
• BeautifulSoup
• Pandas
• Matplotlib
• VS Code

Dataset Information

Total Records: 1000

Columns:

• Title
• Price
• Rating

Project Workflow

Website Scraping

↓

Dataset Creation

↓

Data Cleaning

↓

Statistical Analysis

↓

Data Visualization

↓

Business Insights

Key Findings

• Average Price: 35.07
• Maximum Price: 59.99
• Minimum Price: 10.00
• Most Common Rating: One Star

Visualizations

Rating Distribution

Price Distribution

Project Structure

CodeAlpha_WebScraping/

├── data/

│ └── books.csv

├── screenshots/

│ ├── Rating_Distribution.png

│ └── Price_Distribution.png

├── report/

│ └── WebScraping_Report.docx

├── scraper.py

├── analysis.py

└── README.md

Conclusion

This project demonstrates the use of web scraping and data analysis techniques to collect, clean, analyze, and visualize data for decision-making purposes.

CodeAlpha_WebScraping