nnqax/egypt-womens-autonomy-analysis

An exploratory data analysis using DHS survey data (1990–2019) to investigate how female education and employment impact women's healthcare decision-making in Egypt. # 📊 Empowering Data: Women's Autonomy in Egypt An exploratory data analysis examining historical trends (1990–2019) in Egyptian women's healthcare autonomy, educational attainment, and workforce participation using Demographic and Health Surveys (DHS) data. --- ## 🔍 Research Question > **How do women's employment rates and average years of schooling affect their ability to make their own healthcare decisions in Egypt over time?** Understanding what truly empowers women helps policymakers and organizations design targeted interventions. If educational attainment correlates more strongly with healthcare independence than workforce participation alone, initiatives can prioritize keeping girls in school. --- ## 📈 Key Findings & Insights * **Healthcare Autonomy:** Rates of women having the final say over their own healthcare vary significantly across survey years, peaking around **76.5%** with a minimum of **3.88%** (mean: **25.44%**). * **Education Levels:** Average years of schooling for women range from **0.81 years** to **11.56 years** (mean: **5.05 years**). * **Workforce Participation:** Women currently working in the workforce ranged from **0.2%** to **100%** across sample subsets (mean: **49.06%**). --- ## 🛠️ Data & Visualizations The analysis uses data from `livwell135.csv` and focuses on three core variables: 1. **`DP_decide_health_p`**: Percentage of women who have the final say on their healthcare choices. 2. **`ED_educ_years_mean`**: Average/median years of schooling completed by women. 3. **`WK_working_p`**: Percentage of women currently employed. ### Visual Workflow * **Individual Distributions:** Histograms showing the spread of each variable across survey years. * **Combined Analysis:** Scatter plot mapping all three indicators against time (`year`) for Egypt to evaluate side-by-side trends. --- ## 💻 Tech Stack & Libraries * **Python 3.x** * **Pandas** — Data manipulation and filtering * **Matplotlib** — Data visualization --- ## 🚀 How …