R for Data Science

More Information
  • Develop, execute, and modify R scripts
  • Find, install, and use third-party R packages
  • Organize your data to get the best results
  • Produce graphical displays of your results, including 3D visualizations
  • Perform statistical analyses that you can use all the time
  • Understand the trade-offs between different approaches to problems
  • Be comfortable with trying features to fine-tune your results
  • Adopt and learn data science with R in a practical tutorial format
  • Explore concepts such as data mining, data analysis, data visualization, and machine learning using R

R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks and is best suited to produce data and visual analytics through customizable scripts and commands.

The purpose of the book is to explore the core topics that data scientists are interested in. This book draws from a wide variety of data sources and evaluates this data using existing publicly available R functions and packages. In many cases, the resultant data can be displayed in a graphical form that is more intuitively understood. You will also learn about the often needed and frequently used analysis techniques in the industry.

By the end of the book, you will know how to go about adopting a range of data science techniques with R.

  • Familiarize yourself with R programming packages and learn how to utilize them effectively
  • Learn how to detect different types of data mining sequences
  • A step-by-step guide to understanding R scripts and the ramifications of your changes
Page Count 364
Course Length 10 hours 55 minutes
ISBN 9781784390860
Date Of Publication 24 Dec 2014


Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.