TadeDerhbi/GBV_in_Nigeria

A data-driven analysis of gender-based violence trends in Nigeria (2010-2025) # A Data-Driven Look at Gender-Based Violence Trends in Nigeria (2010–2025) ## 📊 Project Overview This end-to-end solo data analysis project examines gender-based violence trends in Nigeria over 15 years using web scraping, data analysis, and interactive dashboards. ## 🎯 Project Objectives - Collect GBV-related data from Nigerian news sources and official reports - Analyze temporal trends (2010-2025) - Identify geographic patterns across Nigerian states - Examine types of violence and reporting patterns - Visualize findings in an interactive Power BI dashboard ## 🛠️ Tech Stack - Data Collection: Python (BeautifulSoup, Requests, Selenium) - Data Processing: Pandas, NumPy - Data Storage: CSV, Excel - Analysis: SQL (SQL SMS), Python (Statistical Analysis, Time Series) - Visualization: Power BI Desktop - Version Control: Git/GitHub ## 📁 Project Structure ``` GBV_in_Nigeria_Analysis/ ├── data/ │ ├── raw/ # Original scraped data (unmodified) │ └── processed/ # Cleaned data ready for analysis ├── scripts/ # Python scraping & processing scripts ├── notebooks/ # Jupyter notebooks for exploration ├── outputs/ # Generated charts, reports, exports ├── docs/ # Documentation and notes └── README.md # Project documentation (this file) ``` ## 📅 Project Timeline - ✅ **Phase 1**: Planning & Setup (Completed) - 🔄 **Phase 2**: Data Collection - Web Scraping (In Progress) - ⏳ **Phase 3**: Data Cleaning & Processing - ⏳ **Phase 4**: Exploratory Data Analysis - ⏳ **Phase 5**: Power BI Dashboard Building - ⏳ **Phase 6**: Documentation & Portfolio Presentation ## 📚 Data Sources *To be updated as sources are identified and scraped* Potential sources include: - Nigerian news outlets (Premium Times, Punch, Vanguard, etc.) - UN Women Nigeria reports - National Bureau of Statistics - NGO reports (WARIF, Project Alert, etc.) ## 🔍 Key Research Questions 1. How have GBV incident reports chan …