An interactive dashboard in Python from Jupyter Notebook using Open source visualisation tool Panel
- Project Overview
- Getting Started
- Dependencies
- Data
- Dashboard
- Usage
- Acknowledgement
- Contributing
- License
The goal of this project is to provide insights and visualizations based on the Airbnb data in New York City. It includes interactive charts and filters to explore different aspects of the data, such as pricing trends, neighborhood comparisons, and room types.
To get started with the project, follow these steps:
- Clone the repository to your local machine.
- Install the required dependencies (see the Dependencies section for details).
- Get the Airbnb dataset for New York City (see the Data section for details).
- Run the project script or notebook to generate visualizations and explore the data.
The project relies on the following dependencies:
- Python 3
- Pandas
- Panel
- HvPlot
To install the dependencies, please refer to the requirements.txt file
The Airbnb dataset used in this projectis gotten from kaggle. It includes information about Airbnb listings in New York City. You can get the dataset here.
Once you have the dataset, update the file path in the project script or notebook accordingly.
To use the project, follow these steps:
- Ensure you have the required dependencies installed (see the Dependencies section).
- Make sure you have obtained the Airbnb dataset (see the Data section).
- Run the project script or notebook using Python.
- Explore the visualizations and interact with the filters to analyze different aspects of the Airbnb data.
- To serve the dashboard locally, use the command:
panel serve airbnb.ipynb
This project was inspired by the work and ideas of Thu-Vu92
Contributions to this project are welcome! If you find any issues or have suggestions for improvements, feel free to open an issue or submit a pull request.
This project is licensed under the MIT License.