Web: https://towardsdatascience.com/four-r-packages-for-automated-exploratory-data-analysis-you-might-have-missed-c38b03d4ee16?source=rss----7f60cf5620c9---4

Jan. 12, 2022, 7:33 p.m. | Nicolo Cosimo Albanese

Towards Data Science - Medium towardsdatascience.com

Explore useful tools to ease exploratory tasks through practical examples in R

Image by author.

Table of contents

  1. Introduction
  2. Automated Exploratory Data Analysis packages
    2.1 DataExplorer
    2.2 GGally
    2.3 SmartEDA
    2.4 tableone
  3. Conclusions
  4. References

1. Introduction

Exploratory Data Analysis (EDA) aims at performing an initial investigation on the data by summarizing their characteristics through statistical and visualization techniques, and it is a critical early step in any Data Science workflow.

In this post, we explore four R packages that facilitate this initial task and provide a substantial support in data …

analysis data data analysis data science exploratory-data-analysis for

Statistics and Computer Science Specialist

@ Hawk-Research | Remote

Data Scientist, Credit/Fraud Strategy

@ Fora Financial | New York City

Postdoctoral Research Associate - Biomedical Natural Language Processing and Deep Learning

@ Oak Ridge National Laboratory - Oak Ridge, TN | Oak Ridge, TN, United States

Senior Machine Learning / Computer Vision Engineer

@ Glass Imaging | Los Altos, CA

Research Scientist in Biomedical Natural Language Processing and Deep Learning

@ Oak Ridge National Laboratory | Oak Ridge, TN

W3-Professorship for Intelligent Energy Management

@ Universität Bayreuth | Bayreuth, Germany