R for Data Science - R Data Science Tips, Solutions and Strategies
R for Data Science - R Data Science Tips, Solutions and Strategies by Dan Toomey
English | Dec. 19, 2014 | ISBN: 1784390860 | 364 Pages | PDF | 32 MB
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 scrs 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.
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 scrs 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.
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