colorspace, dplyr, lifecycle, magrittr, patchwork, rlang
gapminder, knitr, lintr, rmarkdown, scales, spelling, tibble,
tidyr, testthat (>= 2.1.0), vdiffr

Implementation of Plots from Cleveland's Visualizing Data Book
c(
person(given = "Marcos",
family = "Prunello",
role = c("aut", "cre"),
email = "marcosprunello@gmail.com",
comment = c(ORCID = "0000-0002-9611-527X")
),
person(given = "Gonzalo",
family = "Mari",
role = c("aut")
)
)
William S. Cleveland's book 'Visualizing Data' is a classic piece
of literature on Exploratory Data Analysis. Although it was written
several decades ago, its content is still relevant as it proposes several
tools which are useful to discover patterns and relationships among the data
under study, and also to assess the goodness of fit o a model.  This package
provides functions to produce the 'ggplot2' versions of the visualization tools
described in this book and is thought to be used in the context of courses on
Exploratory Data Analysis.
dplyr, tidyr, ggplot2, rlang, magrittr, graphics, readr, egg,
vctrs, lattice, tibble, stringr
Marcos Prunello [aut, cre] (<https://orcid.org/0000-0002-9611-527X>),
Gonzalo Mari [aut]

Combination of GGplot2 plots into a matrix based on data
columns.
Fernando Fuentes <fuentes.f4@gmail.com>, George Ostrouchov
<ostrouchovg@ornl.gov>
The ggcolpairs package allows the creation of a plot
matrix based on column parameters from a dataset.

Simpler Appearance Modification of 'ggplot2'
c(person('Yasutaka', 'Tanaka', , 'tnk.yasutaka@gmail.com', c('aut', 'cre')))
A flexible interface for ggplot2::theme(), potentially saving 50% of your typing.
knitr, testthat, futile.logger (>= 1.4.3), dplyr, tibble

tidyverse, knitr, testthat, futile.logger (>= 1.4.3), hexbin,
dplyr

Visualization of a Correlation Matrix using 'ggplot2'
The 'ggcorrplot' package can be used to visualize easily a
correlation matrix using 'ggplot2'. It provides a solution for reordering the
correlation matrix and displays the significance level on the plot. It also
includes a function for computing a matrix of correlation p-values.