UBC-MDS/slimreda: Exploratory Data Analysis

Exploratory Data Analysis is an important preparatory work to help data scientists understand and clean up data sets before machine learning begins. However, this step also involves a lot of repetitive tasks. In this context, slimeda will help data scientists quickly complete the initial work of EDA and gain a preliminary understanding of the data.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("UBC-MDS/slimreda")
UBC-MDS/slimreda documentation built on Feb. 7, 2022, 9:12 a.m.