Welcome to the Bermuda Triangle Mystery Dashboard! This interactive app explores aviation accident data to investigate patterns, trends, and anomalies in one of the most mysterious regions on Earth—the Bermuda Triangle.
The Bermuda Triangle, often referred to as the "Devil's Triangle," is a loosely defined region in the western part of the North Atlantic Ocean. This project leverages data visualization and analytics to uncover insights into aviation accidents in and around this enigmatic region.
- Interactive Visualizations: Explore accident trends over time, filter by attributes like year, operator, or flight type.
- Data Insights: Analyze accident frequencies, possible causes, and other critical details.
- Custom Filters: Drill down into specific time periods, locations, or types of accidents to gain deeper insights.
- Frontend: Streamlit - for an interactive and user-friendly interface.
- Backend: Python - for data manipulation and visualization.
- Data Visualization: Matplotlib, Seaborn, Plotly.
- Data: Historical aviation accident datasets from Kaggle.
The dataset used includes columns such as:
- Date: Date of the accident.
- Location: The geographical location of the accident.
- Operator: The airline or operator of the flight.
- Type: The type of aircraft involved.
- Fatalities: Number of fatalities aboard the flight.
- Clone the repository:
git clone https://github.com/yourusername/bermuda-triangle-dashboard.git
Additional Visualizations: Introduce heatmaps or geospatial plots for better location-based analysis. Extended Analysis: Correlation with weather data or other factors. More data for the Bermuda Triangle. Improved Filtering: Add more dynamic filtering capabilities for enhanced exploration.