Book description
Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills
Key Features
 Speed up your data analysis projects using powerful R packages and techniques
 Create multiple handson data analysis projects using realworld data
 Discover and practice graphical exploratory analysis techniques across domains
Book Description
HandsOn Exploratory Data Analysis with R will help you build a strong foundation in data analysis and get wellversed with elementary ways to analyze data. You will learn how to understand your data and summarize its characteristics. You'll also study the structure of your data, and you'll explore graphical and numerical techniques using the R language.
This book covers the entire exploratory data analysis (EDA) process—data collection, generating statistics, distribution, and invalidating the hypothesis. As you progress through the book, you will set up a data analysis environment with tools such as ggplot2, knitr, and R Markdown, using DOE Scatter Plot and SML2010 for multifactor, optimization, and regression data problems.
By the end of this book, you will be able to successfully carry out a preliminary investigation on any dataset, uncover hidden insights, and present your results in a business context.
What you will learn
 Learn effective R techniques that can accelerate your data analysis projects
 Import, clean, and explore data using powerful R packages
 Practice graphical exploratory analysis techniques
 Create informative data analysis reports using ggplot2
 Identify and clean missing and erroneous data
 Explore data analysis techniques to analyze multifactor datasets
Who this book is for
HandsOn Exploratory Data Analysis with R is for data enthusiasts who want to build a strong foundation in data analysis. If you are a data analyst, data engineer, software engineer, or product manager, this book will sharpen your skills in the complete exploratory data analysis workflow.
Table of contents
 Title Page
 Copyright and Credits
 Dedication
 About Packt
 Contributors
 Preface
 Section 1: Setting Up Data Analysis Environment
 Setting Up Our Data Analysis Environment

Importing Diverse Datasets
 Technical requirements
 Converting rectangular data into R with the readr R package
 Reading in Excel data with the readxl R package
 Reading in JSON data with the jsonlite R package
 Getting data into R from web APIs using the httr R package
 Getting data into R by scraping the web using the rvest package
 Importing data into R from relational databases using the DBI R package
 Summary
 Examining, Cleaning, and Filtering
 Visualizing Data Graphically with ggplot2
 Creating Aesthetically Pleasing Reports with knitr and R Markdown
 Section 2: Univariate, Time Series, and Multivariate Data
 Univariate and Control Datasets
 Time Series Datasets
 Multivariate Datasets
 Section 3: Multifactor, Optimization, and Regression Data Problems
 MultiFactor Datasets
 Handling Optimization and Regression Data Problems
 Section 4: Conclusions
 Next Steps
 Other Books You May Enjoy
Product information
 Title: HandsOn Exploratory Data Analysis with R
 Author(s):
 Release date: May 2019
 Publisher(s): Packt Publishing
 ISBN: 9781789804379
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