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Ulorma/Healthcare-Accessibility-in-Africa

Domaine:

healthcare

Type de record:

dataset
Crรฉateur:
Ulo
Hรดte:
Healthcare Accessibility Description # Healthcare Accessibiliy in Africa ### ๐Ÿ“ Project Overview --- This project is centered on healthcare accessibility in Africa. ๐Ÿ”น Rural vs. Urban Healthcare Disparities: This dataset provides insights into the distribution of healthcare facilities, the number of doctors and nurses, and patient accessibility across different regions. ๐Ÿ”น Healthcare Workforce Availability: This dataset includes information on the availability of doctors and nurses per facility and how this varies between urban and rural locations. ๐Ÿ”น Patient Accessibility and Utilization: The dataset tracks annual patient visits, average distance to facilities, and emergency response times, helping assess accessibility in different regions. ๐Ÿ”น Funding and Resource Allocation: This dataset explores the funding received by healthcare facilities and their access to essential services like electricity and the internet. ๐Ÿ”น Patient Satisfaction and Healthcare Outcomes: Patient satisfaction rates serve as indicators of service quality, while other factors like emergency response times help evaluate healthcare. ### ๐Ÿ“Š Data Sources - World Health Organization(WHO) Africa region data. - Demographic and Health Survey(DHS) data. ### ๐Ÿ› ๏ธ Tools - Excel - Data Cleaning - Download here - Power BI - Creating Reports(Visualization) - SQL server - Data Analysis ### ๐Ÿ“ Data Cleaning/Preparation In the following data preparationn phase we perform the following tasks: 1. Data loading and inspection. 2. Handling missing values. 3. Data Cleaning and formatting. 4. Spell check. 5. Standerdization. 6. Data validation. ### ๐Ÿ“ˆ Exploratory Data Analysis - Which countries have the highest/lowest healthcare accessibility in Africa. - Is there a correlation between healthcare access and economic indicators. - What are the disparities between the Urban and Rural healthcare accessibility. ### ๐Ÿ” Results/Findings The analysis results are summarized as follows. 1. The disparities between the Urban and Rural areas according to the dat โ€ฆ

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