Economic Indicator Dashboard

An interactive web-based dashboard to analyze and visualize key macroeconomic indicators such as GDP growth, inflation, and unemployment across countries. The project also includes correlation analysis and machine learning-based inflation prediction.

---

##Live Demo

https://economic.streamlit.app

---

Features

• Single Country Dashboard

  • GDP Growth, Inflation, Unemployment trends
  • Clean and interactive time-series visualization

• Country Comparison

  • Compare two countries side-by-side
  • Visual comparison using line charts

• Correlation Analysis

  • Analyze relationship between Inflation and Unemployment
  • Helps observe economic concepts like the Phillips Curve

• Machine Learning Prediction

  • Linear Regression model to predict inflation
  • Forecasts next 5 years based on historical data

• Real-time Data

  • Data fetched from World Bank API

---

Tech Stack

• Frontend & App Framework: Streamlit
• Data Handling: Pandas
• Visualization: Plotly
• API: World Bank API
• Machine Learning: Scikit-learn
• Deployment: Streamlit Cloud

---

Project Structure

economic-dashboard/
│
├── app.py              # Main Streamlit application
├── requirements.txt    # Dependencies
└── README.md           # Project documentation

---

Installation & Setup

1. Clone the repository

git clone https://github.com/akmanis/economic-dashboard.git
cd economic-dashboard

2. Install dependencies

pip install -r requirements.txt

3. Run the app

streamlit run app.py

---

📊 Data Source

• World Bank Open Data API https://data.worldbank.org/

---

Key Learnings

• Handling real-world economic datasets
• Building interactive dashboards using Streamlit
• Performing correlation analysis between macro variables
• Implementing basic machine learning models for forecasting
• Deploying a data application to production

---

Future Improvements

• Add advanced time-series models (ARIMA, LSTM)
• Include more economic indicators (interest rates, trade balance)
• Add download/export functionality
• Improve UI/UX with advanced layout

---

Author

Manish Dhruw

• Economics Student | Indian Institue Of Science Education & Research (IISERB), Bhopal

---