DESCRIPTION

Package: xplrrr
Title: This package makes exploratory data analysis (EDA) simple and seamless. EDA is a crucial phase in the data science workflow as it allows us get a fist glimpse of the data. It is important to identify statistical characteristics of the data so that we can properly set up the rest of the analysis
Version: 0.4.1.87
Authors@R: c(person(given = "Furqan",
                   family = "Khan",
                   role = c("aut"),
                   email = "furqan@example.com"),
            person(given = "Serhiy",
                   family = "Pokrovskyy",
                   role = c("aut"),
                   email = "serg@pokrovskyy.com"),
            person(given = "Braden",
                   family = "Tam",
                   role = c("aut"),
                   email = "Braden@example.com"),
            person(given = "Yu",
                   family = "Fang",
                   role = c("aut","cre"),
                   email = "Yu@example.com"))
Description: What the package does (one paragraph).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.0.2
Imports:
    gridExtra,
    purrr,
    dplyr,
    ggplot2,
    matrixStats,
    stats
Suggests: 
    testthat (>= 2.1.0),
    knitr,
    rmarkdown,
    covr,
    pkgdown
VignetteBuilder: knitr
URL: https://github.com/UBC-MDS/xplrrr
BugReports: https://github.com/UBC-MDS/xplrrr/issues