Dana-21-21/ethiopia-fi-forecast

# Ethiopia Financial Inclusion Forecasting ## Project Overview This project analyzes Ethiopia's financial inclusion landscape using survey data, policy events, digital finance indicators, and infrastructure information. The objective is to explore historical trends, enrich the available dataset, perform exploratory data analysis, and prepare the data for forecasting future financial inclusion indicators. The project is completed as part of the 10 Academy Data Engineering and AI Challenge. --- ## Project Objectives - Explore the structure and quality of the financial inclusion dataset. - Enrich the original dataset with additional observations, events, and impact relationships. - Analyze historical trends in financial inclusion. - Investigate the effects of digital finance, infrastructure, and policy reforms. - Build forecasting models for future financial inclusion indicators. --- ## Repository Structure ``` ethiopia-fi-forecast/ │ ├── data/ │ ├── raw/ │ │ ├── ethiopia_fi_unified_data.xlsx │ │ ├── reference_codes.xlsx │ │ ├── Additional Data Points Guide.xlsx │ │ └── README.md │ │ │ └── processed/ │ └── ethiopia_fi_enriched.xlsx │ ├── notebooks/ │ ├── Task_1_Data_Exploration_and_Enrichment.ipynb │ └── Task_2_Exploratory_Data_Analysis.ipynb │ ├── README.md └── requirements.txt ``` --- ## Task 1 – Data Exploration and Enrichment Task 1 focused on understanding the dataset structure and improving the available information. Completed activities include: - Loading the unified Excel workbook. - Exploring dataset structure and schema. - Examining observations, events, and impact links. - Assessing data quality and missing values. - Investigating event records and impact relationships. - Merging event and impact datasets. - Adding new observation records. - Adding new event records. - Adding new impact link records. - Saving an enriched dataset artifact. ### Dataset Enrichment The original dataset was enriched by adding new fi …