debrouilard/ethiopia-fi-forecast

# Ethiopia Financial Inclusion Forecasting Challenge ## Overview This project is part of the Ethiopia Financial Inclusion Forecasting Challenge. The objective is to explore, enrich, and analyze a unified financial inclusion dataset covering Ethiopia. The dataset combines observations, policy events, targets, and impact relationships into one standardized schema to support forecasting and policy analysis. --- ## Objectives - Explore the unified financial inclusion dataset - Understand the unified schema - Perform exploratory data analysis (EDA) - Enrich the dataset with additional observations and events - Document enrichment sources and confidence levels - Prepare the dataset for future forecasting models --- ## Project Structure ``` ethiopia-fi-forecast/ │ ├── data/ │ ├── raw/ │ │ ├── ethiopia_fi_unified_data.csv │ │ └── reference_codes.csv │ │ │ └── processed/ │ └── enriched_dataset.csv │ ├── notebooks/ │ └── task1_task2.ipynb │ ├── reports/ │ ├── data_enrichment_log.md │ └── figures/ │ ├── src/ │ ├── data_loader.py │ ├── enrichment.py │ ├── eda.py │ └── visualization.py │ ├── requirements.txt ├── .gitignore └── README.md ``` --- ## Dataset ### Main Dataset - ethiopia_fi_unified_data.csv Contains - observations - events - targets - impact links under one unified schema. ### Reference Dataset reference_codes.csv Contains definitions for - record types - categories - pillars - confidence levels - value types - relationship types - source types --- ## Unified Schema The dataset follows a unified design. ### Observation Represents measured values collected from surveys, regulators, operators or research. ### Event Represents policy changes, launches, regulations and milestones. ### Target Represents official goals. ### Impact Link Connects events to indicators through parent_id and explains - relationship - expected direction - impact magnitude - evidence basis --- ## Data Sources Examples include …