hareg10academy21-byte/ETHIOPIA-FI-FORECAST

# Ethiopia Financial Inclusion Forecasting ## Project Overview This project analyzes and forecasts financial inclusion trends in Ethiopia. The goal is to understand factors affecting: - Access to financial services - Usage of digital financial services The project uses historical observations, policy events, infrastructure changes, and impact relationships to build forecasting models. --- # Dataset The project uses: ## Ethiopia Financial Inclusion Unified Dataset The dataset contains: - Observations - Events - Targets - Impact relationships Main indicators include: - Account ownership - Mobile money adoption - Digital payment usage - Financial access indicators --- # Project Structure ethiopia-fi-forecast/ ├── data/ │ ├── raw/ │ │ ├── ethiopia_fi_unified_data.csv │ │ └── reference_codes.csv │ │ │ └── processed/ │ ├── enriched_events.csv │ ├── enriched_impact_links.csv │ └── ethiopia_fi_enriched_dataset.csv │ ├── notebooks/ │ ├── 01_data_exploration.ipynb │ └── 02_exploratory_data_analysis.ipynb │ ├── src/ │ ├── models/ │ ├── reports/ │ └── figures/ │ ├── tests/ │ ├── requirements.txt └── README.md --- # Tasks Completed ## Task 1: Data Exploration and Enrichment Completed: - Dataset loading - Schema analysis - Record type analysis - Indicator coverage analysis - Event analysis - Impact link analysis - Added Ethiopia financial inclusion events - Created enrichment documentation ## Task 2: Exploratory Data Analysis Completed: - Dataset overview - Data quality assessment - Temporal coverage analysis - Account ownership analysis - Digital payment analysis - Event timeline visualization - Correlation analysis - Key insights documentation --- # Installation Clone repository: git clone Install requirements: pip install -r requirements.txt --- # Running Analysis Start Jupyter: jupyter notebook Open: notebooks/01_data_exploration.ipynb and notebooks/02_exploratory_data_analysis.ipynb --- # Key Insights In …