jarekkupisz/MOEDA: Modeling-Oreinted Exploratory Data Analysis - Finally, At a Glance Useful EDA

Modeling-Oriented Exploratory Data Analysis (MOEDA) is a novel approach to EDA, which aims to make you quickly understand how useful your data is in modelling a target variable. This gives any data analyst or scientist an immediate feel of what can be expected from the data when taken through ML or statistical modelling initiatives. It addresses the main shortcomings of traditional EDA which tells you what the data is (how many variables of each type, how many nulls, etc.) instead of how useful it is. MOEDA also challenges “automatic” EDA approaches, which only automate the creation of dozens of charts without immediately surfacing the cons and pros of your explanatory variables.

install.packages("remotes")
remotes::install_github("jarekkupisz/MOEDA")