Package: GimmeMyPlot 0.2.0

GimmeMyPlot: Graphical Utilities for Visualizing and Exploring Data

Simplifies the process of creating essential visualizations in R, offering a range of plotting functions for common chart types like violin plots, pie charts, and histograms. With an intuitive interface, users can effortlessly customize colors, labels, and styles, making it an ideal tool for both beginners and experienced data analysts. Whether exploring datasets or producing quick visual summaries, this package provides a streamlined solution for fundamental graphics in R.

Authors:Etienne Camenen [aut, cre]

GimmeMyPlot_0.2.0.tar.gz
GimmeMyPlot_0.2.0.zip(r-4.7)GimmeMyPlot_0.2.0.zip(r-4.6)GimmeMyPlot_0.2.0.zip(r-4.5)
GimmeMyPlot_0.2.0.tgz(r-4.6-any)GimmeMyPlot_0.2.0.tgz(r-4.5-any)
GimmeMyPlot_0.2.0.tar.gz(r-4.7-any)GimmeMyPlot_0.2.0.tar.gz(r-4.6-any)
GimmeMyPlot_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
GimmeMyPlot/json (API)
NEWS

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

Bug tracker:https://github.com/ecamenen/gimmemyplot/issues

On CRAN:

Conda:

data-visualizationvisualization

3.70 score 5 scripts 186 downloads 5 exports 84 dependencies

Last updated from:e1e61ff904. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK217
source / vignettesOK209
linux-release-x86_64OK162
macos-release-arm64OK120
macos-oldrel-arm64OK100
windows-develOK114
windows-releaseOK103
windows-oldrelOK117
wasm-releaseOK138

Exports:plot_barplot_bar_mcatplot_histogramplot_pieplot_violin

Dependencies:abindbackportsbase64encbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfarverforcatsforecastFormulafracdiffgenericsggforceggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandjsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolyclippolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7scalesSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttimeDatetweenrurcautf8vctrsviridisLitewithrzoo

Visualize data distribution

Rendered fromdata_distribution.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2023-10-23
Started: 2023-10-23

Readme and manuals

Help Manual

Help pageTopics
Barplotplot_bar
Barplot for categorical variablesplot_bar_mcat
Plot histogramplot_histogram
Piechartplot_pie
Violin plotplot_violin