📊 USCIS I-589 & Global GDP EDA

📄 Overview

This project explores the relationship between USCIS I-589 asylum applications and global GDP trends. Using Exploratory Data Analysis (EDA), we examine how economic conditions influence asylum applications over time.

📂 Dataset

• USCIS I-589 Data: Number of applications received, approved, denied, and pending (2014-2024).
• World GDP Data: GDP trends from [World Bank / IMF dataset].

🔍 Key Insights

• How do economic downturns correlate with asylum applications?
• Are there trends in approval/denial rates based on global GDP?
• What regions contribute most to asylum applications?

📊 Methods Used

• Data Wrangling: pandas, numpy
• Visualization: matplotlib, seaborn
• Statistical Analysis: Correlation between GDP & asylum trends

📓 Jupyter Notebook

🚀 View Notebook on nbviewer
📂 View Notebook on GitHub

📜 License

This project is for educational purposes only. It was a final project for a Data Programming Class