![]() ![]() Global Health Funding: Figuresīack to top U.S. In FY 2023, funding for global health totaled $12.9 billion. funding for global health has remained relatively flat, with spikes in some years due to emergency supplemental funding for Ebola in FY 2015, Zika in FY 2016, and COVID-19 in FY 2020 and FY 2021. investment in global health grew significantly in the early 2000s, largely due to the creation of new initiatives including the President’s Emergency Plan for AIDS Relief (PEPFAR) and the President’s Malaria Initiative (PMI). Of the multilateral share, the majority is provided to The Global Fund to Fight AIDS, Tuberculosis and Malaria (Global Fund). funding for global health is provided bilaterally (approximately 80%). Government is the largest donor to global health in the world and includes support for both disease (HIV, tuberculosis, malaria, and neglected tropical diseases) and population (maternal and child health, nutrition, and family planning and reproductive health) specific activities as well as global health security. Global Health Budget: Neglected Tropical Diseases (NTDs) ![]() Global Health Budget: Global Health Security Global Health Budget: Family Planning & Reproductive Health (FP/RH) ![]() Global Health Budget: Maternal & Child Health (MCH) Global Health Budget: The Global Fund to Fight AIDS, Tuberculosis and Malaria Global Health Budget: PEPFAR and Other Global HIV Funding See our Budget Tracker for more detail on historical funding and our Budget Summaries for the latest on ongoing appropriations discussions. funding for global health by program area. Retrieved July 25, 2021, from: h File:Fy2007spendingbycategory.This fact sheet provides an overview of U.S. A pie chart representing spending by category for the US budget for 2007. Ggtitle("US Federal Budget 2007") # title of the bar chart Ylab("Budget (Billion USD)") + # label for the y-axis Xlab("Category") + # label for the x-axis Theme( = element_text(angle = 90)) + # rotate the x-label axis so it is vertical P1 <- p1 + geom_bar(stat = "identity") + # allows identification of actual value and colour code the values into a legend P1 <- ggplot(US_budget, aes(x = reorder(Category, Budget), y = Budget, fill = Budget)) US_budget % mutate(Percentage = (Budget/Total)*100) The following code was used to fix the issues identified in the original. Retrieved July 25, 2021, from: h File:Fy2007spendingbycategory.png Lastly the other visible issue is the colour chosen for each segment of the pie chart where all colours chosen have no definite relation to the category, value or percentage of the US budget allocations.Secondly there is a labeling and colour issue where the labeling of percentages was in black which does not create a distinct contrast to the background making the value difficult to read.In this case, there is a lot of data to be visualised and hence the selection of a pie chart cannot effectively display the information in a readable manner. The first issues lies within the choice of plots.The visualisation chosen had the following three main issues: The target audience of this data and US citizens, politicians, government sectors and other individuals interested in the United States Federal Budget. The pie chart shows the distribution into different categories with labels and indications on the percentage split. The main objective of the pie chart is to show the distribution of the United States Federal Budget in 2007. Original data visualisation and the targeted audience. Source: 2007 United States federal budget ![]()
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