Global GDP Sector Analysis

Overview

This project analyzes sector contributions to GDP using World Bank World Development Indicators (WDI) data across 200+ countries from 1960–2024.

The analysis explores how economic sectors including Agriculture, Industry, Manufacturing, Services, Trade, Export, and Import contribute to GDP over time and how these sectors relate to one another.

Tools Used

• Python
• pandas
• NumPy
• Matplotlib

Key Features

• Cleaned and transformed large economic datasets
• Structured data into time-series format across countries and sectors
• Performed correlation and regression analysis between economic sectors
• Built visualizations to analyze global economic trends over time
• Compared sector behavior across countries and years

Example Analysis

• Identified relationships between sectors using correlation and regression
• Observed structural economic shifts from agriculture to services in developing economies
• Analyzed how changes in one sector influence others over time

How to Run

1. Open GDP_Sector_Analysis.ipynb in Jupyter Notebook or VS Code
2. Run all cells to reproduce the analysis and visualizations

Project Structure

• GDP_Sector_Analysis.ipynb → Main analysis notebook
• *.csv → World Bank sector datasets