knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The goal of explorers is to ...
You can install the development version of explorers from GitHub with:
# install.packages("devtools") devtools::install_github("WouterVerra/explorers", build_vignettes = TRUE)
The explore function takes my most used functions when exploring a new dataframe and lists the output from 1 command.
The NAcol function is another exploratory function which finds how many NA values are present in every column of a dataframe.
The NArow function is also an exploratory function that finds how many NA values are present in every row of a dataframe.
The last function of this package is the replace function which replaces an old value to a new value inside of a specified column of a dataframe.
A dataset containing the points scored, assists made and teams played of a made-up soccer player.
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