Interactive Dashboard for 'HIV' Data Visualization R package HIViz version 0.1.2 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. Software Depends: R(>= 3.5.0) Imports: shiny (>= 1.7.0), shinydashboard, readxl, haven, dplyr, DT, ggplot2, plotly, tidyr,wordcloud, ggrepel, paletteer, shinyWidgets, tools Suggests: testthat (>= 3.0.0), knitr, rmarkdown Atefeh Rashidi Pour <rashidiatefeh98@gmail.com> Comprehensive R Archive Network (CRAN) Atefeh Rashidi Pour [aut, cre] (ORCID: <https://orcid.org/0009-0002-3834-3183>), Marzieh Rashidipour [aut] (ORCID: <https://orcid.org/0000-0003-4024-765X>) GPL-3 2025-07-23 application/tgz https://CRAN.R-project.org/package=HIViz doi:10.32614/CRAN.package.HIViz