R for Data Science

R for Data Science

Learn and explore the fundamentals of data science with R

Category: Data Analysis

作者: dan toomey

年份: 2014

语言: English

格式: pdf

页数: 364

PDF Download Link (4.71 MB)

Book Excerpt

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.