A data-driven analysis of financial inclusion and digital financial services in Ghana.
# Ghana Financial Inclusion Analysis
## Overview
This project examines patterns and determinants of financial inclusion in Ghana, with particular attention to access to and use of formal and digital financial services.
The project applies quantitative data analysis and visualisation techniques to explore differences across demographic and socioeconomic groups.
It is designed as an independent research and data-analysis project using publicly available data.
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## Research Questions
The analysis will explore questions such as:
1. What are the major patterns of financial inclusion in Ghana?
2. How does financial inclusion vary across demographic groups?
3. Are there differences between rural and urban populations?
4. How does financial inclusion vary by gender?
5. What socioeconomic characteristics are associated with access to financial services?
6. What implications do the findings have for financial inclusion policy in Ghana?
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## Research Areas
- Financial Inclusion
- Digital Finance
- Mobile Money
- Development Economics
- Data Science
- Survey Research
- Public Policy
- Monitoring and Evaluation
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## Methodology
The project will follow a quantitative research workflow:
1. Data acquisition
2. Data documentation
3. Data cleaning
4. Exploratory data analysis
5. Descriptive statistics
6. Data visualisation
7. Statistical analysis
8. Interpretation
9. Policy discussion
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## Tools
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter Notebook
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## Repository Structure
```text
data/
Data documentation
notebooks/
Analysis notebooks
outputs/
Figures and tables
scripts/
Reusable analysis scripts
README.md
Project documentation