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Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

By : Radhika Datar, Harish Garg
2.3 (3)
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Hands-On Exploratory Data Analysis with R

Hands-On Exploratory Data Analysis with R

2.3 (3)
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)
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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

Creating Aesthetically Pleasing Reports with knitr and R Markdown

In this chapter, we will learn how to use RStudio to wrap your code, graphics, plots, and findings (such as the representation of reports of the data frame) in a complete and informative data analysis report. We will also learn how to publish it in different formats for different audiences using R Markdown and packages such as knitr. Finally, we will learn how to customize data reports and export data in different formats.

The following topics will be covered in this chapter:

  • Learning R Markdown concepts
  • Producing reproducible data analysis reports with knitr
  • Customizing your data reports
  • Exporting in different formats
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Tech Concepts
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Programming languages
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Hands-On Exploratory Data Analysis with R
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