Exploratory Data Analysis of Amazon Dataset

Welcome to the Exploratory Data Analysis (EDA) project of the Amazon Dataset!

Contributors

A special thanks to the following contributors for their valuable contributions to this project:

• Mohamed El Mahdy Baakrim
• Habbach Oualid
• Ouabiba Hamza
• Ahmed Mesoudi

Their dedication and expertise have greatly enhanced this project and contributed to its success.

Project Description

This project aims to perform an in-depth exploratory analysis of the Amazon Dataset. By leveraging statistical techniques, data visualization, and advanced data analysis methods, we strive to uncover valuable insights and patterns within the dataset.

Project Structure

• data/: This directory contains the Amazon Dataset used for the analysis.
• notebooks/: This directory contains Jupyter notebooks with the exploratory data analysis code.

Getting Started

To get started with this project, please follow the steps below:

1. Clone the repository: git clone https://github.com/Hamza-ouabiba/Exploratory-data-analysis.git
2. Explore the dataset in the data/ directory.
3. Run the Jupyter notebooks in the notebooks/ directory to perform the exploratory data analysis.

Contribution Guidelines

We welcome contributions to enhance this exploratory data analysis project. If you would like to contribute, please follow these guidelines:

• Fork the repository and create a new branch for your contribution.
• Ensure that your code follows the project's coding conventions.
• Submit a pull request with a clear description of the changes you have made.

Thank you for your interest and contributions to this project! Together, we can uncover valuable insights from the Amazon Dataset and contribute to the field of data analysis.