Final project for BDAT 1004

pip install -r requirements.txt

This project creates a web dashboard to visualize economic data fetched from the Federal Reserve Economic Data (FRED) API and stored in a MongoDB database. It allows users to explore different economic indicators like GDP, unemployment rate, and inflation rate, and provides an interactive way to understand economic trends.

Technologies:

• Python
• Flask
• pymongo
• Dash
• plotly.express
• MongoDB

Installation and Setup:

1. Install the required dependencies:

pip install Flask pymongo requests dash dash-daq plotly pandas

2. Clone the repository and configure MongoDB connection details in fred_api.py and economic_dashboard.py.

3. Run the update_data.py script to fetch and store initial data.

4. Run the Flask app with:

python economic_dashboard.py

Using the Dashboard:

1. Open http://localhost:5000 in your web browser.
2. Choose an economic indicator from the dropdown menu.
3. The interactive line chart will display the selected indicator's data over time.

Features:

• Fetch and store economic data from the FRED API using a dedicated function.
• Update data periodically to maintain freshness.
• Interactive dashboard with a dropdown menu for selecting indicators.
• Plotly chart visualization with configurable axes and title.

Future Work:

• Implement additional filtering options like date range selection.
• Add features like comparison charts for multiple indicators.
• Explore integration with other data sources beyond FRED.

Resources:

• FRED API Documentation: https://fred.stlouisfed.org/docs/api/fred/
• Dash Tutorial: https://dash.plotly.com/tutorial
• MongoDB Documentation: https://www.mongodb.com/docs/

Contributing:

We welcome contributions to this project! Feel free to fork the repository, propose improvements, and submit pull requests.