Miuul Final Project: Top Ten Stays

📌 Project Description

This project focuses on analyzing and ranking the top ten stays based on various criteria such as customer reviews and ratings. It involves the use of Python for data processing, analysis, and visualization. The project is structured to provide an end-to-end solution from data extraction to the deployment of production-ready code.

Data Source

The dataset used in this project is available on Kaggle: 515K Hotel Reviews Data in Europe.

🚀 Features Data Processing: Cleans and prepares hotel reviews data. Visualization: Includes visual outputs like charts and graphs (stored in the Images/ folder). Deployment: Ready-to-run production code for further integration.

📚 How to Use Clone this repository to your local machine: git clone https://github.com/sozenkaan/TopTen-Stays.git

Navigate to the project directory: cd TopTen-Stays

Install the required dependencies: pip install -r requirements.txt

Run the main project script: python Codes/FinalProjectCode.py

📊 Visualizations The Images/ folder contains key visualizations generated from the dataset. These include trends, insights, and graphical representations of the analysis.

📄 License This project is licensed under the MIT License. See the LICENSE file for more details.

🤝 Contributing Contributions are welcome! Feel free to submit a pull request or open an issue for suggestions and improvements.