Dinjuliet/Healthcare-Accessibility-in-Africa-A-Data-Driven-Analysis

# Healthcare-Accessibility-in-Africa-A-Data-Driven-Analysis # PROJECT OVERVIEW This project explores healthcare accessibility in Africa using Power BI. The goal is to analyze disparities between rural and urban healthcare facilities, evaluate funding efficiency, and provide data-driven recommendations to improve healthcare service delivery. # KEY BUSSINESS QUESTIONS - How does the distribution of healthcare facilities compare between rural and urban regions? - Are urban healthcare facilities receiving more funding than rural ones? - Are healthcare facilities with higher funding more likely to have shorter emergency response times? - Which facility types (hospitals, clinics, health centers) show the highest efficiency in terms of funding per patient visit? # DATASET DETAILS Download Here The dataset consists of healthcare facility data categorized into: 📍 Rural vs. Urban Healthcare Disparities – Facility distribution, number of doctors & nurses, and patient accessibility. 👩‍⚕️ Healthcare Workforce Availability – Number of doctors & nurses per facility across different regions. 🏥 Patient Accessibility & Utilization – Patient visits, distance to facilities, and emergency response times. 💰 Funding & Resource Allocation – Funding per facility, electricity & internet access. 📈 Patient Satisfaction & Healthcare Outcomes – Service quality based on patient feedback & emergency response efficiency. # DASHBOARD [Overview of Healthcare Accessibility in Africa] ( ( # KEY FINDINGS - 🏥 Healthcare Facility Distribution ✔️ Rural areas: 1,873 facilities (647 clinics, 642 health centers, 584 hospitals). ✔️ Urban areas: 127 facilities (49 clinics, 37 health centers, 41 hospitals). ➡️ Insight: Rural regions have more facilities, but their vast geography and infrastructure challenges make access difficult. - 💰 Funding Disparities ✔️ Rural areas receive $199M, while urban areas receive only $14M. ➡️ Insight: Despite higher funding in rural areas, challenges like in …