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XYZ123-oss/Rwanda-Education-Capstone

Domain:

education

Record type:

project
Creator:
XYZ
Host:
Rwanda Education Capstone Project # Rwanda Education Capstone Project ## πŸ“Š Project Overview This Capstone Project analyzes trends in education enrollment across Rwanda using a synthetic dataset. The goal is to identify disparities and patterns based on **gender**, **province**, **school type**, and **ownership** to support data-driven decision-making in the education sector. ## πŸ—‚οΈ Folder Structure ``` rwanda-education-capstone/ β”œβ”€β”€ data/ β”‚ └── rwanda_education_dataset.csv β”œβ”€β”€ images/ β”‚ └── [Charts used in analysis and presentation] β”œβ”€β”€ notebooks/ β”‚ └── analysis.ipynb β”œβ”€β”€ dashboard/ β”‚ └── Rwanda_Education_Dashboard.pbix └── README.md ``` ## πŸ“ Dataset Description - **Province**: Region of Rwanda - **District**: Sub-region - **School Name** - **Year**: 2018–2022 - **Gender**: Male/Female - **Enrollment**: Number of enrolled students - **School Type**: Primary/Secondary - **Ownership**: Public/Private ## πŸ“ˆ Key Visualizations These charts are saved under `/images/` and used in Power BI and the final presentation: - Total Enrollment by Year - Enrollment by Gender - Enrollment by Province - Enrollment by School Type - Enrollment by Ownership (Public vs Private) ## πŸ§ͺ How to Use ### ▢️ Jupyter Notebook Open `notebooks/analysis.ipynb` to view Python-based analysis and charts. ```bash jupyter notebook notebooks/analysis.ipynb ``` ### πŸ“Š Power BI Dashboard Open the Power BI file from: ``` dashboard/Rwanda_Education_Dashboard.pbix ``` Use filters to explore data by: - Province - Year - Gender - School Type ## πŸ› οΈ Tools Used - Python (pandas, matplotlib, seaborn) - Power BI - Jupyter Notebook ## πŸ™Œ Credits Prepared by [Your Name] For Capstone Submission - 2025