ggplot2 (>= 2.2.0), lubridate (>= 1.5.0), listviewer (>=
1.4.0), openxlsx (>= 4.0.17), basictabler (>= 0.2.0), shiny,
knitr, rmarkdown, testthat

ggplot2 (>= 2.2.0), jsonlite (>= 1.1), lubridate (>= 1.5.0),
listviewer (>= 1.4.0), openxlsx (>= 4.0.17), basictabler (>=
0.2.0), shiny, knitr, rmarkdown, testthat

ggplot2 (>= 2.2.0), jsonlite (>= 1.1), lubridate (>= 1.5.0),
listviewer (>= 1.4.0), openxlsx (>= 4.0.17), basictabler (>=
1.0.2), shiny, knitr, rmarkdown, testthat

Run Queries against the API of 'Piwik Pro' <https://developers.piwik.pro/en/latest/custom_reports/http_api/http_api.html>. The result is a tibble.
urltools, httr, rjson, tibble, purrr, lubridate, magrittr,
dplyr, rlang, stringr, readr, digest, fs

httr, rjson, tibble, purrr, lubridate, magrittr, dplyr, rlang,
stringr, readr, digest, fs

httr, rjson, tibble, purrr, lubridate, magrittr, dplyr, rlang,
stringr, readr (>= 2.1.0), digest, fs, tidyr, glue

person(given = "Eric",
family = "Leung",
role = c("aut", "cre"),
email = "erictleung@outlook.com",
comment = c(ORCID = "0000-0002-8724-1872"))
Data about Disney Pixar films provided by Wikipedia. This
package contains data about the films, the people involved, and their
awards.

testthat, spelling, knitr, rmarkdown, dplyr, tidyr, forcats,
ggplot2, ggrepel, ggbeeswarm

dplyr, forcats, ggbeeswarm, ggplot2, ggrepel, irr, knitr,
markdown, rmarkdown, spelling, testthat (>= 3.0.0), tidyr

c(person("Carlos", "Real", email = "carlos.real@usc.es",  role = c("aut", "cre"), comment = c(ORCID = "0000-0002-5433-6728")),
person("Quentin", "Read", role = "rev"))
Contains functions to classify the pixels of an image file by its colour. It implements a simple form of the techniques known as Support Vector Machine adapted to this particular problem.
Carlos Real [aut, cre] (<https://orcid.org/0000-0002-5433-6728>),
Quentin Read [rev]

Puzzle game that can be played in the R console.
Restore the pixel art by shifting rows.

Provides tools to show and draw image pixels using 'HTML' widgets
and 'Shiny' applications.  It can be used to visualize the 'MNIST' dataset
for handwritten digit recognition or to create new image recognition datasets.