Hands-On Exploratory Data Analysis with R
Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills

  • 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

Hands-On Exploratory Data Analysis with R will help you build not just a foundation but also expertise in the elementary ways to analyze data. You will learn how to understand your data and summarize its main characteristics. You'll also uncover the structure of your data, and you'll learn 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 learn how to set up a data analysis environment with tools such as ggplot2, knitr, and R Markdown, using tools such as 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, identify hidden insights, and present your results in a business context.

  • Learn powerful R techniques to speed up 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

Hands-On Exploratory Data Analysis with R is for data enthusiasts who want to build a strong foundation for data analysis. If you are a data analyst, data engineer, software engineer, or product manager, this book will sharpen your skills in the complete workflow of exploratory data analysis.

1131949199
Hands-On Exploratory Data Analysis with R
Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills

  • 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

Hands-On Exploratory Data Analysis with R will help you build not just a foundation but also expertise in the elementary ways to analyze data. You will learn how to understand your data and summarize its main characteristics. You'll also uncover the structure of your data, and you'll learn 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 learn how to set up a data analysis environment with tools such as ggplot2, knitr, and R Markdown, using tools such as 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, identify hidden insights, and present your results in a business context.

  • Learn powerful R techniques to speed up 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

Hands-On Exploratory Data Analysis with R is for data enthusiasts who want to build a strong foundation for data analysis. If you are a data analyst, data engineer, software engineer, or product manager, this book will sharpen your skills in the complete workflow of exploratory data analysis.

32.99 In Stock
Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

by Radhika Datar, Harish Garg
Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

by Radhika Datar, Harish Garg

Paperback

$32.99 
  • SHIP THIS ITEM
    Ships in 1-2 days
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills

  • 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

Hands-On Exploratory Data Analysis with R will help you build not just a foundation but also expertise in the elementary ways to analyze data. You will learn how to understand your data and summarize its main characteristics. You'll also uncover the structure of your data, and you'll learn 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 learn how to set up a data analysis environment with tools such as ggplot2, knitr, and R Markdown, using tools such as 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, identify hidden insights, and present your results in a business context.

  • Learn powerful R techniques to speed up 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

Hands-On Exploratory Data Analysis with R is for data enthusiasts who want to build a strong foundation for data analysis. If you are a data analyst, data engineer, software engineer, or product manager, this book will sharpen your skills in the complete workflow of exploratory data analysis.


Product Details

ISBN-13: 9781789804379
Publisher: Packt Publishing
Publication date: 05/31/2019
Pages: 266
Product dimensions: 7.50(w) x 9.25(h) x 0.56(d)

About the Author

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. 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.

Table of Contents

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
From the B&N Reads Blog

Customer Reviews