🌍 Global Economic Trends Dashboard

A comprehensive interactive dashboard for visualizing 119+ macroeconomic and development indicators across 85+ countries using World Bank Open Data.

Features

• 📊 119+ Indicators across 11 categories
• 🌍 85+ Countries from all continents
• 📈 Interactive Visualizations: Line and bar charts with Plotly
• 🔮 GDP Prediction: Machine learning model to forecast next year's GDP
• 🌐 Real-time Data: Fetches latest data from World Bank API
• 💾 Smart Caching: Local caching for faster performance
• 📥 Data Export: Download data as CSV

Data Categories

📊 11 Major Categories:

1. POPULATION & DEMOGRAPHICS (18 indicators)

   • Population totals, growth, life expectancy, fertility, urban/rural distribution

2. ECONOMY & GDP (14 indicators)

   • GDP, GNI, per capita metrics, growth rates, exports/imports

3. PRICES, INFLATION & MONEY (8 indicators)

   • Inflation, CPI, interest rates, money supply, stock market

4. EMPLOYMENT & LABOR MARKET (10 indicators)

   • Unemployment, labor force, sector employment, participation rates

5. EDUCATION (10 indicators)

   • Literacy, enrollment rates, completion rates, education spending

6. HEALTH (14 indicators)

   • Health expenditure, mortality rates, disease prevalence, immunization

7. POVERTY & INEQUALITY (8 indicators)

   • Poverty headcount, income distribution, Gini index

8. ENVIRONMENT & CLIMATE (12 indicators)

   • CO2 emissions, pollution, forest area, agricultural land

9. ENERGY (8 indicators)

   • Energy consumption, electricity access, renewable energy sources

10. TRADE, BUSINESS & INDUSTRY (9 indicators)

    • Ease of doing business, trade volumes, sector value added

11. DIGITAL, INFRASTRUCTURE & INNOVATION (9 indicators)

    • Internet users, mobile connectivity, patents, transportation

Installation

# Clone the repository
cd open-source-eval

# Install dependencies
pip install -r requirements.txt

Usage

streamlit run app.py

The dashboard will open in your browser at http://localhost:8501

How to Use

1. Select Countries: Choose one or more countries from the sidebar (85+ available)
2. Choose Category: Select from 11 data categories
3. Pick Indicator: Choose specific indicator within that category
4. Set Time Range: Pick start and end years (1960-2024)
5. View Charts: Explore line charts, bar comparisons, and rankings
6. Enable Features: Toggle growth rates, year comparisons, or GDP predictions
7. Download Data: Export your data as CSV

Data Source

All data is sourced from the World Bank Open Data API

Project Structure

open-source-eval/
├── app.py                      # Main Streamlit application
├── requirements.txt            # Python dependencies
├── data/                       # Cached API responses
├── models/                     # ML models
│   └── predictor.py           # GDP prediction model
└── src/
    ├── api/
    │   └── world_bank.py      # World Bank API client
    ├── visualizations/
    │   └── charts.py          # Chart generation functions
    └── utils/
        └── helpers.py         # Utility functions

Technologies Used

• Streamlit: Interactive web framework
• Pandas: Data manipulation
• Plotly: Interactive visualizations
• Scikit-learn: Machine learning for predictions
• World Bank API: Economic data source

Future Enhancements

• Multi-indicator comparison on single chart
• Regional aggregations and continent-level analysis
• Time-series forecasting for all indicators
• Correlation analysis between indicators
• Custom indicator combinations
• Real-time alerts for data updates

Sample Queries

Try these interesting comparisons:

• COVID Impact: Compare health expenditure 2015-2023 for USA, IND, BRA
• Tech Leaders: Internet users % for KOR, JPN, SGP, USA
• Energy Transition: Renewable electricity % for DEU, DNK, NOR
• Emerging Markets: GDP growth for VNM, IND, BGD, ETH
• Life Expectancy: Compare JPN, CHE, AUS, SGP over 40 years
• Innovation Race: Patent applications for USA, CHN, JPN, KOR

License

MIT License

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