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https://github.com/Yacine87/EDA_R_Packages

EDA is a must to do step in the data science workflow. Working on data, wrangling & transforming them is time consuming, and it determine the success degree of the next steps (pre preocessing, modelling, communicating outputs & decision making). This repo will show you how to perform EDA in R using the tidyverse ecosystem, and will introduce a comparative approach between the main packages in R whcich could let you perform automated EDA & generating automated EDA html or pdf reports, ready to be communicated.

dataexplorer dlookr eda exploratory-data-analysis exploratory-data-visualizations explorer hmisc missing-data outliers r rmarkdown rtutor smarteda statistical-tests summarytools tidyverse

Last synced: 04 Jun 2024