Hands-On Exploratory Data Analysis with R

By Radhika Datar , Harish Garg
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    Section 1: Setting Up Data Analysis Environment
About this book

Hands-On Exploratory Data Analysis with R will help you build a strong foundation in data analysis and get well-versed 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.

Publication date:
May 2019


Section 1: Setting Up Data Analysis Environment

We will start by setting up the R toolkit for exploratory data analysis, dig deep into the concepts of importing data into R, cleaning and manipulating data, and then move onto visualizing data, before producing reproducible data reports.

The following chapters will be covered in this section:

  • Chapter 1, Setting Up Our Data Analysis Environment
  • Chapter 2, Importing Diverse Datasets
  • Chapter 3, Examining, Cleaning, and Filtering
  • Chapter 4, Graphically Visualize Data with ggplot2
  • Chapter 5, Creating Aesthetically Pleasing Reports with Knitr and R Markdown
About the Authors
  • Radhika Datar

    Radhika Datar has more than 5 years' experience in software development and content writing. She is well versed in frameworks such as Python, PHP, and Java, and regularly provides training on them. She has been working with Educba and Eduonix as a training consultant since June 2016, while also working as a freelance academic writer in data science and data analytics. She obtained her master's degree from the Symbiosis Institute of Computer Studies and Research and her bachelor's degree from K. J. Somaiya College of Science and Commerce.

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  • Harish Garg

    Harish Garg is a Principal Software Developer, author, and co-founder of a software development and training company, Bignumworks. Harish has more than 19 years of experience in a wide variety of technologies, including blockchain, data science and enterprise software. During this time, he has worked for companies such as McAfee, Intel, etc.

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Latest Reviews (2 reviews total)
Bit early to comment at this time.
No review yet, I've scanned the book and dived into several topics relating to my current work. Looks very good so far, expect to get into this book in more detail in the coming months.
Hands-On Exploratory Data Analysis with R
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