An Introduction to R: Data Analysis and Visualisation

This book is intended as an introduction to using R: The Statistical Programming Language. Regardless of your background or specialty; science, business, engineering, or social science, you’ll find this book a starting point for learning about Data Science, that is, Data Analysis, Data Visualization, and Data Management. This book is not aimed at any particular educational level and should be accessible to anyone who wants to learn R, a powerful and flexible analytical toolbox.

In this book you will learn how to use the R program. You’ll learn how to get started with R, in particular:

• Making and Importing Data items.
• Exporting Data.
• Managing and Manipulating Data objects.
• Summarizing and Aggregating Data.
• Visualizing Data.
• The basics of Data Analysis, including:
  • Differences tests.
  • Correlation.
  • Association.
  • Regression.
• R Programming Functions.

This book is intended as a foundation course in using R for Data Science and a springboard for further exploration into Data Analysis and Data Visualization.