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 + fileLICENSE |
| 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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