Name: Hands-On Exploratory Data Analysis with R
Brand: Packt
SKU: 9781789804379
Availability: InStock

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

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