Book Details:
Publisher: | Packt Publishing |
Series: |
Packt
|
Author: | Dan Toomey |
Edition: | 1 |
ISBN-10: | 1784390860 |
ISBN-13: | 9781784390860 |
Pages: | 364 |
Published: | Nov 25 2014 |
Posted: | Nov 19 2014 |
Language: | English |
Book format: | PDF |
Book size: | 2.85 MB |
Book Description:
Learn and explore the fundamentals of data science with R About This BookFamiliarize yourself with R programming packages and learn how to utilize them effectivelyLearn how to detect different types of data mining sequencesA step-by-step guide to understanding R scripts and the ramifications of your changesWho This Book Is ForIf 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.
What exactly is data science? With this book, you';ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you';ll learn how to use the versatile R programming language for data analysis.Whenever you measure the same thing twice, you get two results-as long as you measure precisely enough. This phenomenon creates uncertainty and opportunity. Author Garrett Grolemund, Master Instructor at RStudio, shows you how data science can help you work with the uncertainty and capture the opportunities. You';ll learn about:Data Wrangling-how to manipulate datasets to reveal new informationData Visualization-how to create graphs and other visualizationsExploratory Data Analysis-how to find evidence of...
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