Cyclone Risk Analysis Dashboard

Overview

This project provides a Cyclone Risk Analysis Dashboard built using Streamlit. The dashboard visualizes and analyzes cyclone-related data, helping users understand cyclone occurrences, risk levels, and affected regions.

Features

• Interactive Map: Displays cyclone paths with risk levels.
• Data Filtering: Select by date, location, and risk level.
• Statistical Insights: Shows key metrics on cyclone frequency and impact.
• Graphical Representations: Includes bar charts, time series plots, and heatmaps.
• User-Friendly Interface: Built with Streamlit for an intuitive experience.

Installation

To run the dashboard locally, follow these steps:

Prerequisites

• Python 3.8+
• Pip
• Virtual environment (optional but recommended)

Steps

1. Clone the repository:

   git clone https://github.com/your-username/cyclone-risk-dashboard.git
   cd cyclone-risk-dashboard

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows use: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the Streamlit app:

   streamlit run app.py

Usage

Once the dashboard is running, open the provided local URL in your browser. Use the sidebar controls to filter data and explore cyclone risks.

Technologies Used

• Python
• Streamlit
• Pandas (for data handling)
• Matplotlib & Seaborn (for visualizations)
• Geopandas (for mapping)
• Plotly (for interactive graphs)

Data Source

The cyclone data used in this project is sourced from Admin 0 – Countries.

Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.

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