NYC Airbnb Dataset Analysis

This project contains exploratory analysis on the NYC Airbnb Dataset. The analysis is performed using Jupyter Notebooks.

Dataset

The datasets used in this project are:

• airbnb_last_review.tsv
• airbnb_price.csv
• airbnb_room_type.xlsx

Project Structure

• basic_analysis.ipynb contains the basic overview of the datasets • analysis.ipynb contains more detailed and extensive analysis

Installation

1. Clone the repository:

   git clone https://github.com/adamlaw669/Exploratory-analysis-of-the-NYC-airbnb-dataset
   cd your-repo

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Confirm the paths of the datasets in the Jupyter Notebooks (analysis.ipynb and basic_analysis.ipynb).

2. Open the Jupyter Notebooks and run all cells to see the analysis:

   jupyter notebook analysis.ipynb
   jupyter notebook basic_analysis.ipynb

Contributing

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature-branch).
6. Open a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

• NYC Airbnb Dataset
• Jupyter
• Pandas
• NumPy