FlareGraph

Summary

This project presents a collaborative effort on fire department statistics in San Francisco using data visualization tools like Dash and Python. The dashboard showcases various visualizations and insights aimed at improving fire safety measures.

Screenshots

Landing Page

Visualization Example

Highlights

• Collaborative effort on fire department statistics in San Francisco 🚒
• Utilization of Dash framework with Python for interactive data visualizations 📊
• Emphasis on making data accessible and engaging for users through an interactive web app 🌐
• Exploration of different data visualization types like bubble charts, line charts, and bar charts 📈
• Insights on primary causes for fire-related calls and trends in fire incidents over the years 🔥
• In-depth analysis of feature correlations and response time by neighborhood districts ⏳
• Recommendations for community awareness programs and collaborative approaches for fire safety 🏘️

Key Insights

• Interactive Data Exploration: The interactive web app allows users to dive deep into fire department statistics, making data more accessible and engaging for a wider audience. 🖥️
• Effective Visualization Techniques: Various data visualizations, such as bubble charts, line charts, and bar charts, provide different perspectives on fire incidents, enabling users to extract meaningful insights. 📊
• Community Safety Recommendations: Actionable recommendations like community awareness programs and establishing a community task force to improve fire safety measures in high-risk areas. 🚨
• Data-driven Decision Making: Feature analysis and correlation studies uncover crucial insights, such as the relationship between fire incidents and response times, empowering stakeholders to make informed decisions. 📈
• Comprehensive Trend Analysis: Trend analysis of fire incidents over the years provides valuable insights into the changing landscape of fire safety in San Francisco. 📆
• Enhanced User Experience: Integration of dark mode and interactive data visualizations ensures users can easily navigate and explore the data for a more enriching experience. 🌙
• Holistic Approach to Fire Safety: The project highlights community engagement and preventive measures, demonstrating a commitment to fostering a safer environment for residents and businesses in San Francisco. 🧯

Installation

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/yourusername/sf-fire-department-dashboard.git
   cd sf-fire-department-dashboard

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required dependencies:

   pip install -r requirements.txt

4. Run the Dash app:

   python app.py

Walkthrough Video

Click here to watch the video.

Usage

1. After running the app, open your web browser and go to http://127.0.0.1:8050/.
2. Explore the various visualizations and insights on fire department statistics.
3. Use the interactive features to filter and drill down into specific data points.

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature-branch

3. Make your changes and commit them:

   git commit -m "Add some feature"

4. Push to the branch:

   git push origin feature-branch

5. Submit a pull request.

License

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

Acknowledgements

• Special thanks to the San Francisco Fire Department for providing the data.
• Thanks to the Dash community for their support and resources.