Ruhama-Beshada/Financial-inclusion-forecasting-system-week10

# Financial-inclusion-forecasting-system-week10 ## 📌 Project Overview This project builds a **financial inclusion forecasting system for Ethiopia**. It covers the **full data science pipeline** — from raw data ingestion and enrichment to forecasting and an interactive dashboard. The goal is to help policymakers and analysts **understand trends and predict future financial inclusion indicators** using historical data. --- ## 🧱 Project Folder Structure ethiopia-fi-forecast/ ├── data/ │ ├── raw/ # Original datasets │ │ ├── ethiopia_fi_unified_data.xlsx │ │ ├── Additional Data Points Guide.xlsx │ │ └── reference_codes.xlsx │ └── processed/ # Cleaned and enriched datasets + forecast outputs │ ├── ACC_OWNERSHIP_forecast.xlsx │ ├── all_aggregated_forecasts.xlsx │ ├── ethiopia_fi_features.xlsx │ └── ethiopia_fi_unified_data_enriched.xlsx ├── notebooks/ # Jupyter notebooks for each task │ ├── task1_data_exploration.ipynb │ ├── task2_forecasting.ipynb │ ├── task3_modeling.ipynb │ └── task4_analysis.ipynb ├── src/ # Python helper scripts │ ├── __init__.py │ └── data_utils.py ├── reports/ │ └── figures/ # Visualizations and charts ├── models/ # Forecasting models (saved if needed) ├── dashboard/ # Dash interactive dashboard │ └── app.py ├── tests/ │ └── test_basic.py ├── requirements.txt ├── README.md └── .gitignore --- ## ⚙️ Environment Setup ### 1️⃣ Create Conda Environment bash conda create -n ethiopia-fi python=3.10 -y conda activate ethiopia-fi ### 2️⃣ Install Dependencies pip install -r requirements.txt # 🧪 Task Breakdown ## ✅ Task 1: Data Exploration & Cleaning **Location:** `notebooks/task1_data_exploration.ipynb` **What was done:** - Loaded raw Excel datasets from `data/raw/` - Explored: - **Record types** (`observation`, `event`, `impact_link`) - **Pillars** (`A …