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NaimaAhmedin/ethiopia-fi-forecast

Domain:

socioeconomic
Creator:
Nai
Host:
πŸ‡ͺπŸ‡Ή Forecasting Financial Inclusion in Ethiopia Interim Submission – Tasks 1 & 2 This project builds a data-driven system to forecast Ethiopia’s financial inclusion using time series data, national events, and policy interventions. It follows the Global Findex framework and models two core pillars: ACCESS β€” Account Ownership USAGE β€” Digital Payment Adoption πŸ“‚ Project Structure ethiopia-fi-forecast/ β”œβ”€β”€ data/ β”‚ β”œβ”€β”€ raw/ # Starter dataset β”‚ β”œβ”€β”€ processed/ # Enriched + cleaned data β”‚ β”œβ”€β”€ notebooks/ # Analysis notebooks β”‚ β”œβ”€β”€ 01_data_exploration.ipynb β”‚ └── 02_eda_analysis.ipynb β”‚ β”œβ”€β”€ reports/ β”‚ β”œβ”€β”€ figures/ # Charts from EDA β”‚ └── data_enrichment_log.md β”‚ β”œβ”€β”€ dashboard/ # (Future task) β”œβ”€β”€ models/ # (Future task) β”œβ”€β”€ src/ β”œβ”€β”€ requirements.txt β”œβ”€β”€ README.md └── .gitignore 🧠 Unified Data Design This dataset follows a neutral schema: Events are NOT assigned to pillars. Their effects are captured using impact_link records. record_type category pillar Meaning observation (empty) YES Measured indicator target (empty) YES Policy goal event YES (empty) Neutral event impact_link (empty) YES Event β†’ indicator effect This avoids bias and allows one event to affect many pillars. πŸ§ͺ Task 1 – Data Exploration & Enrichment βœ” Completed Loaded unified dataset Reviewed schema & reference codes Analyzed: record types pillars sources confidence levels time coverage Added new indicators & events Documented all changes in:

Visit

github.com