GDP-Data-Manipulation

This project analyzes the GDP data of the top 10 economies in the world. It includes data processing, visualization, and export functionalities using Python, pandas, numpy, and matplotlib.

Features

• Loads and processes GDP data for top 10 economies
• Converts GDP values from billions to trillions of USD
• Maps country names to ISO 3166-1 alpha-2 country codes
• Creates a bar plot visualization of GDP data
• Exports processed data to CSV files

Requirements

• Python 3.x
• pandas
• numpy
• matplotlib

Usage

1. Run gdp_analysis.py to process the data and generate visualizations.
2. The script will create two CSV files:
   • Largest_economies.csv: Contains the processed GDP data
   • Largest_economies_with_codes.csv: Includes country codes and sorted data

Data Visualization

The script generates a bar plot showing the GDP of top 10 economies, using country codes for easy readability.

Future Improvements

• Integration with live API data sources
• Additional data visualizations
• Time series analysis of GDP data

Author

Pete Duhon

License

This project is open source and available under the MIT License.