Introduction
In R there are many tools available to help you dive in and explore your data. However, in consulting I still see a lot of people using base R’s table and summary functions, followed by a lot of work to get the result into a more presentable format. My own frustrations led to me creating a package (tidyext) for personal use in this area. While that suits me fine, there are tools that can go much further with little effort. Recently, Staniak & Biecek wrote an article in the R Journal exploring several of such packages, so I thought I’d try them out for myself, and take others along with me for that ride.
As this will be a workshop/demo, I’ve created a separate repo and document to make it easier to find, so here is the link: https://m-clark.github.io/exploratory-data-analysis-tools/
The packages demoed are:
- arsenal
- DataExplorer
- dataMaid
- gtsummary
- janitor (not explored in the previous article)
- SmartEDA
- summarytools
- visdat
Reuse
Citation
@online{clark2020,
author = {Clark, Michael},
title = {Exploratory {Data} {Analysis}},
date = {2020-07-10},
url = {https://m-clark.github.io/posts/2020-07-10-eda/},
langid = {en}
}