This project analyzes tropical cyclone data obtained from the Hugging Face library. It includes visualizations of wind speed over time, scatter plots, and a world map displaying cyclone data. The project aims to provide insights into cyclone patterns and their impact on ocean regions.
The world map visualization showcases cyclone data across different geographical regions. It highlights areas with higher cyclone frequencies or intensities, aiding in understanding global cyclone patterns and their distribution.
- Python
- Streamlit
- Plotly
- Pandas
- Hugging Face Library
Click here to visit the Tropical Cyclone App
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Clone the repository to your local machine:
git clone <repository_url> -
Navigate to the project directory:
cd tropical_cyclone -
Install dependencies using pip:
pip install -r requirements.txt -
Run the Streamlit app:
streamlit run app.py
Open your command line interface (CLI), follow these steps, and the Streamlit app will be up and running locally on your machine.