HIViz - Interactive Dashboard for 'HIV' Data Visualization
An interactive 'Shiny' dashboard for visualizing and
exploring key metrics related to HIV/AIDS, including
prevalence, incidence, mortality, and treatment coverage. The
dashboard is designed to work with a dataset containing
specific columns with standardized names. These columns must be
present in the input data for the app to function properly:
year: Numeric year of the data (e.g. 2010, 2021); sex: Gender
classification (e.g. Male, Female); age_group: Age bracket
(e.g. 15–24, 25–34); hiv_prevalence: Estimated HIV prevalence
percentage; hiv_incidence: Number of new HIV cases per year;
aids_deaths: Total AIDS-related deaths; plhiv: Estimated number
of people living with HIV; art_coverage: Percentage receiving
antiretroviral therapy (ART); testing_coverage: HIV testing
services coverage; causes: Description of likely HIV
transmission cause (e.g. unprotected sex, drug use). The
dataset structure must strictly follow this column naming
convention for the dashboard to render correctly.
