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.
| Version: |
0.1.2 |
| 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 |
| Published: |
2025-07-23 |
| DOI: |
10.32614/CRAN.package.HIViz |
| Author: |
Atefeh Rashidi Pour
 [aut, cre],
Marzieh Rashidipour
[aut] |
| Maintainer: |
Atefeh Rashidi Pour <rashidiatefeh98 at gmail.com> |
| BugReports: |
https://github.com/Atefehrashidi/HIViz/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/Atefehrashidi/HIViz |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
HIViz results |
Documentation:
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