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_0.3.1.zip, r-release: ggquickeda_0.3.1.zip, r-oldrel: ggquickeda_0.3.1.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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