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Working on data, wrangling \u0026amp; transforming them is time consuming, and it determine the success degree of the next steps (pre preocessing, modelling, communicating outputs \u0026amp; 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 \u0026amp; generating automated EDA html or pdf reports, ready to be communicated.  \n\n# Scope of work \nWe are going to compare here the most known (in my awareness) R packages dedicated to EDA \u0026 automated EDA.\n\nHere is a non exhaustive list: \nThe tidyverse: the most known \u0026 revolutionary packages' ecosystem (collection of packages) in R. Covering all the DS workflow. ## See https://www.tidyverse.org/\nNote that the above packages have dependencies with the tidyverse's package as dplyr, ggplot2, etc.\n\nSmartEDA # see https://github.com/daya6489/SmartEDA\n\ndlookr # see https://github.com/choonghyunryu/dlookr\n\nDataExplorer # https://cran.r-project.org/web/packages/DataExplorer/vignettes/dataexplorer-intro.html\n\nHmisc # see https://hbiostat.org/R/Hmisc/\n\nexploreR # see https://cran.r-project.org/web/packages/exploreR/index.html\n\nRtutoR # see https://cran.r-project.org/web/packages/RtutoR/index.html\n\nsummarytools # see https://cran.r-project.org/web/packages/summarytools/vignettes/Introduction.html\n\n# Packages installation \nTo install successfuly SmartEDA, dlookr, etc, you must install Rtools version 4.0 from https://cran.r-project.org/bin/windows/Rtools/\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FYacine87%2FEDA_R_Packages","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FYacine87%2FEDA_R_Packages","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FYacine87%2FEDA_R_Packages/lists"}