DisephD/Hospitals-Geoanalysis-using-Python

A geo-spatial analysis of the distribution of hospitals and clinics across Nigeria. # Nigerian-Hospitals-Project ## Overview This project provides a detailed analysis of the distribution of hospitals across Nigeria. It includes visualisation of hospital locations, calculation of geographical distances, and insights into healthcare access across the different states and regions of the country. The project aims to assist in identifying areas with healthcare needs and promote data-driven decision-making for healthcare infrastructural development. ## Table of Contents 1. Project Description 2. My Motivation 3. Features 4. Technologies Used 5. Data Source 6. Key Insights 7. Structure 8. Images 9. Contact ## Project Description In this project, I performed a geo-spatial analysis of healthcare facilities across Nigeria. The main objective was to visualize the distribution of hospitals, compare the number of hospitals to population density, and explore potential gaps in healthcare access. You can explore the Tableau Dashboard for this project here ## My Motivation ### Why I built it: Healthcare is a critical sector, especially in developing nations like Nigeria. I was motivated to build this project to better understand the distribution of healthcare infrastructure across the country and identify areas where more healthcare services might be needed. The project helps identify regions with limited access to hospitals and provides insights that can assist policymakers in planning future healthcare infrastructure in Nigeria. ### What I learnt: Working on this project taught me valuable lessons in handling geo-spatial data, as well as large data. I improved my skills in using Python libraries like Geopandas, and gained a deeper understanding of the healthcare challenges in Nigeria. ## Features * #### Geo-spatial visualizations: Interactive maps that display hospitals across Nigeria, categorized by state and type. * #### Hospital Clustering: Insights into the concentration of hospitals and areas that are underserved. * #### Metrics: Information like avera …