Kelechiuwa/ANALYSIS-REPORT-ON-MALARIA-CASES-IN-AFRICA-FOR-2007-TO-2017-kelechi-uwanaka

The design was done with Power BI, to analyze Malaria Cases in Africa from 2007 to 2017. To achieve this design, I started by importing the malaria cases in Africa dataset into Power BI, where it was organized effectively. A variety of charts were used to visualize different aspects of the data: # ANALYSIS-REPORT-ON-MALARIA-CASES-IN-AFRICA-FOR-2007-TO-2017-kelechi-uwanaka The design was done with Power BI, to analyze Malaria Cases in Africa from 2007 to 2017. To achieve this design, I started by importing the malaria cases in Africa dataset into Power BI, where it was organized effectively. A variety of charts were used to visualize different aspects of the data: 1. Line Charts were used to track trends, such as changes in malaria cases and incidence rates by year. This helped show patterns and highlight peaks or declines. 2. Bar and Column Charts were used to compare total malaria cases and incidence cases by country providing an easy way to assess which countries had the highest or lowest reported cases. 3. Pie Charts provided a visual breakdown of proportions, such as the percentage of children receiving antimalarial drugs, giving clear insights into these metrics. 4. Tree Maps helped to display hierarchical data, like country rankings by the percentage of people using safe sanitation services, offering a clear visualization of which countries are the largest in the use of safe sanitation services. 5. Line and scattered column charts were used to show the increase in incidence rate by the population of the country to highlight the country with the highest incidence of malaria cases (per 1000 population at risk) Additionally, the charts were enhanced with formatting features like changing colors for better visual appeal, ensuring clarity, and making it easier to distinguish between different hierarchies. The slicer was added to allow users to interact with the dashboard by selecting specific countries, making it easier to focus on relevant data. By using line charts to compare different data points, such as malaria cases and incidence rates, a dynamic and interactive report was created to help identify key trends and patterns. The interactivity of the slicers also made the dashboard user-friendly and adaptable to different focus areas. KEY INSIGHTS …