# Ethiopia Financial Inclusion Forecasting
A comprehensive data science project for analyzing and forecasting financial inclusion indicators in Ethiopia using Global Findex data and contextual policy/infrastructure events.
## 📊 Current Status: Task 2 Completed
### ✅ Task 2: Senior Data Scientist EDA - **COMPLETED**
**Comprehensive exploratory data analysis with professional-grade insights and visualizations:**
#### 🎯 Deliverables Completed:
- **Dataset Breakdown**: Complete analysis by record_type, pillar, and sourcetype
- **5+ Key Insights**: Data-driven insights with visual evidence:
1. Account Ownership Trends - Growth patterns and demographic analysis
2. Digital Payment Usage - Platform adoption and usage patterns
3. Gender Gap Analysis - Financial inclusion disparities by gender
4. Infrastructure Impact - Mobile/4G coverage correlation with access
5. Event Timeline Analysis - Policy interventions and measurable impact
- **Data Quality Assessment**: Comprehensive evaluation with documentation
- **Access Analysis**: In-depth account ownership trajectory with charts
- **Modular Code**: Reusable utilities with robust error handling
#### 🛠️ Technical Implementation:
- **Modular Architecture**: Separate utilities for data loading, quality assessment, and visualization
- **Robust Error Handling**: Works with varying data structures and missing columns
- **Professional Visualizations**: Consistent styling with publication-ready charts
- **Comprehensive Documentation**: Structured findings and recommendations
- **Repository Best Practices**: Proper folder structure, README files, and code organization
#### 📁 Key Files Created:
- `notebooks/comprehensive_eda.ipynb` - Main EDA notebook with all analyses
- `src/data_loader.py` - Robust data loading utilities
- `src/data_quality.py` - Comprehensive quality assessment tools
- `src/visualization_utils.py` - Professional visualization utilities
- `src/analysis_utils.py` - Statistical analysis and insight generation
- Up …