https://github.com/nermeenkamal/amazon_web_scraping

https://github.com/nermeenkamal/amazon_web_scraping

analysis beautifulsoup data-science dataset matplotlib numpy pandas python seaborn visualization webscraping

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/nermeenkamal/amazon_web_scraping
• Owner: NermeenKamal
• License: mit
• Created: 2024-05-06T04:26:43.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-05-06T17:09:22.000Z (about 2 years ago)
• Last Synced: 2025-03-04T10:30:51.029Z (over 1 year ago)
• Topics: analysis, beautifulsoup, data-science, dataset, matplotlib, numpy, pandas, python, seaborn, visualization, webscraping
• Language: Jupyter Notebook
• Homepage:
• Size: 185 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
![Screenshot 2024-05-06 100305](https://github.com/NermeenKamal/Amazon_Web_Scraping/assets/114883845/d3ac2095-b816-4450-b490-812d017101a3)

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# Beauty and Personal Care Products Dataset

This dataset contains information about various beauty and personal care products scraped from Amazon Egypt. The data includes product names and their corresponding prices.

## Dataset Description

- **Name**: Beauty and Personal Care Products Dataset

- **Source**: Amazon Egypt

- **Contents**: 

    - Product Name

    - Price (in Egyptian pounds)

## Key Questions Explored

1. What is the distribution of product prices?

2. Which product has the highest price, and what is the price?

3. What is the lowest price of the products?

4. What are the central tendencies (mean, mode, median) of product prices?

5. What is the correlation between product prices?

## How the Data was Collected

The data was scraped from the Amazon Egypt website using web scraping techniques in Python.

## File Description

- **Data_science.csv**: Contains the scraped data.

## Usage

This dataset can be used for:

- Analyzing pricing trends of beauty and personal care products

- Making informed decisions for consumers

- Assisting sellers in pricing their products effectively

## Contribution

Contributions to enrich the dataset and analysis are welcome. Feel free to fork this repository, make your changes, and create a pull request.

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