Data Visualisation Functions for Epidemiological Data Science Products R package epiviz version 0.1.2 Tools for making epidemiological reporting easier with consistent static and dynamic charts and maps. Builds on 'ggplot2' for static visualizations as described in Wickham (2016) <doi:10.1007/978-3-319-24277-4> and 'plotly' for interactive visualizations as described in Sievert (2020) <doi:10.1201/9780429447273>. Software Depends: R (>= 4.1.0) Imports: grDevices, assertthat, classInt, dplyr, ggplot2, RColorBrewer, plotly, sf, leaflet, htmltools, stringr, scales, tidyr, lubridate, ISOweek, forcats, slider, rlang, ellmer, jsonlite, lifecycle Suggests: testthat (>= 3.0.0), mockery, withr, yarrr, knitr, rmarkdown, shiny Harshana Liyanage <harshana.liyanage@ukhsa.gov.uk> Comprehensive R Archive Network (CRAN) Harshana Liyanage [aut, cre] (ORCID: <https://orcid.org/0000-0001-9738-6349>), James Duke [aut], Alex Bhattacharya [aut] (ORCID: <https://orcid.org/0000-0003-3000-2771>), Liam Fitzpatrick [aut], James Leatherland [aut], Jordan Worth [aut], Emma Parker [aut], Jade Talbot [ctb] (ORCID: <https://orcid.org/0000-0001-6460-5170>), Karen Crawford [ctb], Frederick Sloots [ctb], Charlie Turner [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=epiviz/LICENSE) 2026-03-05 application/tgz https://CRAN.R-project.org/package=epiviz doi:10.32614/CRAN.package.epiviz