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Hands-On Exploratory Data Analysis with R Cover

Hands-On Exploratory Data Analysis with R

Become an expert in exploratory data analysis using R packages

Publisher:Packt Publishing Limited
By: Radhika Datar and  Harish Garg  
Paid access
|Jun 2019
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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 hands-on data analysis projects using real-world data
  • Discover and practice graphical exploratory analysis techniques across domains

Book Description

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.

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 multi-factor datasets

Who this book is for

Hands-On 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

  1. Setting Up Our Data Analysis Environment
  2. Importing Diverse Datasets
  3. Examining, Cleaning, and Filtering
  4. Visualizing Data Graphically with ggplot2
  5. Creating Aesthetically Pleasing Reports with knitr and R Markdown
  6. Univariate and Control Datasets
  7. Time Series Datasets
  8. Multivariate Datasets
  9. Multi-Factor Datasets
  10. Handling Optimization and Regression Data Problems
  11. Next Steps
https://github.com/packtpublishing/hands-on-exploratory-data-analysis-with-r
PDF ISBN: 978-1-78980-208-5
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing Limited
Publication date: 2019
Language: English
Pages: 266
Related subjects:
Computer sciences,
Computer sciences, other

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