# Ethiopia Financial Inclusion Forecasting
## Project Overview
This project analyzes Ethiopia's financial inclusion ecosystem by integrating survey observations, policy events, infrastructure indicators, and impact relationships to support forecasting and impact modeling.
The project is divided into multiple tasks, beginning with data enrichment and exploratory analysis.
---
# Project Structure
```
ethiopia-fi-forecast/
├── data/
│ ├── raw/
│ └── processed/
├── notebooks/
│ ├── task1_data_exploration.ipynb
│ └── task2_eda.ipynb
| └── task3_event_impact_modeling.ipynb
├── src/
│ ├── data_loader.py
│ ├── explorer.py
│ ├── enrich.py
│ └── eda.py
├── tests/
├── dashboard/
├── models/
└── README.md
```
---
# Installation
Clone the repository
```bash
git clone
cd ethiopia-fi-forecast
```
Install dependencies
```bash
pip install -r requirements.txt
```
---
# Task 1 — Data Exploration and Enrichment
## Objective
Understand the provided financial inclusion dataset, explore its structure, and enrich it with additional observations, events, and impact relationships collected from official sources.
---
## Work Completed
### Dataset Exploration
- Loaded the unified financial inclusion dataset
- Loaded reference codes
- Explored dataset schema
- Reviewed record types
- Examined pillars
- Identified source types
- Analyzed confidence levels
- Explored temporal coverage
- Reviewed indicators
- Reviewed existing events
- Explored impact relationships
---
### Dataset Enrichment
Added new records including
- Financial inclusion observations
- Digital finance events
- Infrastructure indicators
- Impact relationships
Each added record contains
- Source URL
- Original source text
- Confidence level
- Collector information
- Collection date
- Supporting notes
---
### Utilities Developed
- Data loading utilities
- Dataset exploration functions
- Dataset enrichment pipeline
---
### Deliverables
```
src/data_loader.py
src/explorer.py
src/enri …