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.
| Version: | 0.3.2 | 
| 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 | 
| Published: | 2025-09-15 | 
| DOI: | 10.32614/CRAN.package.ggquickeda | 
| Author: | Samer Mouksassi  | 
| Maintainer: | Samer Mouksassi <samermouksassi at gmail.com> | 
| BugReports: | https://github.com/smouksassi/ggquickeda/issues | 
| License: | MIT + file LICENSE | 
| URL: | https://github.com/smouksassi/ggquickeda, https://smouksassi.github.io/ggquickeda/ | 
| NeedsCompilation: | no | 
| SystemRequirements: | pandoc with https support | 
| Materials: | README, NEWS | 
| CRAN checks: | ggquickeda results | 
| Reference manual: | ggquickeda.html , ggquickeda.pdf | 
| Vignettes: | 
Visualizing Summary Data (source, R code) Shiny App (source) Introduction to ggquickeda (source, R code) Additional Plots and Stats with ggquickeda (source)  | 
| Package source: | ggquickeda_0.3.2.tar.gz | 
| Windows binaries: | r-devel: ggquickeda_0.3.2.zip, r-release: ggquickeda_0.3.2.zip, r-oldrel: ggquickeda_0.3.2.zip | 
| macOS binaries: | r-release (arm64): ggquickeda_0.3.2.tgz, r-oldrel (arm64): ggquickeda_0.3.2.tgz, r-release (x86_64): ggquickeda_0.3.2.tgz, r-oldrel (x86_64): ggquickeda_0.3.2.tgz | 
| Old sources: | ggquickeda archive | 
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