Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables R package ggquickeda version 0.3.3 Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and 'table1' tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface. Software Depends: R (>= 4.1.0) Imports: colourpicker, dplyr, data.table, DT, Formula, forcats, GGally (>= 2.1.0), ggbeeswarm, ggh4x, ggplot2 (>= 3.4.0), ggpmisc, ggrepel (>= 0.7.0), ggridges, ggpubr, ggstance, glue, gridExtra, Hmisc, markdown, methods, patchwork (>= 1.2.0), plotly, quantreg, rlang, rms, RPostgres, scales, shiny (>= 1.0.4), shinyFiles, shinyjs (>= 1.1), shinyjqui, stringr, survival, survminer, tibble, tidyr, table1 (>= 1.4.2), zoo Suggests: knitr, rmarkdown Samer Mouksassi <samermouksassi@gmail.com> Comprehensive R Archive Network (CRAN) Samer Mouksassi [aut, cre] (ORCID: <https://orcid.org/0000-0002-7152-6654>), Dean Attali [aut], James Craig [aut] (implemented bookmarking and created pkgdown website), Benjamin Rich [aut] (provided summary stats tables table1 tab code), Michael Sachs [aut] (provided ggkm initial code) MIT + file LICENSE (https://CRAN.R-project.org/package=ggquickeda/LICENSE) 2026-02-01 application/tgz https://CRAN.R-project.org/package=ggquickeda doi:10.32614/CRAN.package.ggquickeda