R for Data Science

Learn and explore the fundamentals of data science with R

About This Book

• 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

Who This Book Is For

If you are a data analyst who has a firm grip on some advanced data analysis techniques and wants to learn how to leverage the features of R, this is the book for you. You should have some basic knowledge of the R language and should know about some data science topics.

In Detail

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.

Table of Contents

Chapter 1: Data Mining Patterns
Chapter 2: Data Mining Sequences
Chapter 3: Text Mining
Chapter 4: Data Analysis – Regression Analysis
Chapter 5: Data Analysis – Correlation
Chapter 6: Data Analysis – Clustering
Chapter 7: Data Visualization – R Graphics
Chapter 8: Data Visualization – Plotting
Chapter 9: Data Visualization – 3D
Chapter 10: Machine Learning in Action
Chapter 11: Predicting Events with Machine Learning
Chapter 12: Supervised and Unsupervised Learning