Book Image

Hands-On Exploratory Data Analysis with R

By : Radhika Datar, Harish Garg
Book Image

Hands-On Exploratory Data Analysis with R

By: Radhika Datar, Harish Garg

Overview of 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.
Table of Contents (17 chapters)
Free Chapter
1
Section 1: Setting Up Data Analysis Environment
7
Section 2: Univariate, Time Series, and Multivariate Data
11
Section 3: Multifactor, Optimization, and Regression Data Problems
14
Section 4: Conclusions

Next Steps

This chapter will help you to build a roadmap for yourself, for building upon the skills you have learned in this book, and with which you can gain further expertise in the field of data science with R. It will list what other skills you can learn next, how you can build a data science portfolio, and how to find publicly available datasets to use in your projects. Also, it will give guidance on how to get help when you are stuck on a data exploration issue.

The following topics will be covered in this chapter:

  • What to learn next
  • Building a data science portfolio
  • Finding publicly available datasets to use in your projects
  • Getting help when you get stuck with a data exploration problem