Package: ggquickeda 0.3.3.9999

ggquickeda: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables

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.

Authors:Samer Mouksassi [aut, cre], Dean Attali [aut], James Craig [aut], Benjamin Rich [aut], Michael Sachs [aut]

ggquickeda_0.3.3.9999.tar.gz
ggquickeda_0.3.3.9999.zip(r-4.6)ggquickeda_0.3.3.9999.zip(r-4.5)
ggquickeda_0.3.3.9999.tgz(r-4.6-any)ggquickeda_0.3.3.9999.tgz(r-4.5-any)
ggquickeda_0.3.3.9999.tar.gz(r-4.6-any)ggquickeda_0.3.3.9999.tar.gz(r-4.5-any)
ggquickeda_0.3.3.9999.tgz(r-4.5-emscripten)
ggquickeda.pdf |ggquickeda.html
ggquickeda/json (API)
NEWS

# Install 'ggquickeda' in R:
install.packages('ggquickeda', repos = c('https://smouksassi.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/smouksassi/ggquickeda/issues

Pkgdown/docs site:https://smouksassi.github.io

Datasets:

On CRAN:

Conda:

8.41 score 74 stars 36 scripts 492 downloads 1 mentions 27 exports 179 dependencies

Last updated from:f80ba03f97. Checks:6 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE212
source / vignettesOK220
linux-release-x86_64NOTE211
macos-devel-arm64NOTE121
macos-release-arm64NOTE117
windows-develNOTE188
windows-releaseNOTE146
wasm-releaseOK174

Exports:+attach_source_depcloglog_transcumhaz_transdostepevent_transgeom_kmgeom_kmbandgeom_kmticksGeomKmGeomKmbandGeomKmticksget_source_codeggcontinuousexpdistggkmrisktablegglogisticexpdistggresponseexpdistmerge_stepsrun_ggquickedasourceablestairstepnstat_kmstat_kmbandstat_kmticksStatKmStatKmbandStatKmticks

Dependencies:abindaskpassbackportsbase64encbeeswarmbitbit64bitopsblobbootbroombslibcachemcarcarDatacaToolscheckmatecliclustercodetoolscolorspacecolourpickercommonmarkconfintrconstructivecorrplotcowplotcpp11crayoncrosstalkcurldata.tableDBIDerivdiffobjdigestdoBydplyrDTevaluateexactRankTestsfarverfastmapfontawesomeforcatsforecastforeignFormulafracdifffsgenericsGGallyggbeeswarmggh4xggplot2ggpmiscggppggpubrggrepelggridgesggsciggsignifggstanceggstatsggtextgluegridExtragridtextgtablehighrHmischmshtmlTablehtmltoolshtmlwidgetshttpuvhttrisobandjpegjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelitedownlme4lmtestlubridatemagrittrmarkdownMASSMatrixMatrixModelsmaxstatmemoisemgcvmicrobenchmarkmimeminiUIminqamodelrmultcompmvtnormnlmenloptrnnetnumDerivopensslotelpatchworkpbkrtestpillarpkgconfigplotlyplyrpngpolsplinepolynomprettyunitsprogresspromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownrmsrpartRPostgresrstatixrstudioapiS7sandwichsassscalesshinyshinyFilesshinyjquishinyjssourcetoolsSparseMsplus2Rstringistringrsurvivalsurvminersystable1TH.datatibbletidyrtidyselecttimechangetimeDatetinytexurcautf8vctrsviporviridisLitewaldowithrxfunxml2xtablextsyamlzoo

Additional Plots and Stats with ggquickeda

Rendered fromAdditionalPlotsStats.Rmdusingknitr::rmarkdown_notangleon Mar 26 2026.

Last update: 2020-07-21
Started: 2018-04-16

Introduction to ggquickeda

Rendered fromggquickeda.Rmdusingknitr::rmarkdownon Mar 26 2026.

Last update: 2024-01-14
Started: 2018-04-04

Shiny App

Rendered fromapp.Rmdusingknitr::rmarkdownon Mar 26 2026.

Last update: 2022-06-18
Started: 2022-06-18

Visualizing Summary Data

Rendered fromVisualizing_Summary_Data.Rmdusingknitr::rmarkdownon Mar 26 2026.

Last update: 2021-02-09
Started: 2020-10-26