Exploratory Data Analysis with R

Roger Peng

ISBN 10: 1365060063 / ISBN 13: 9781365060069

Published by Lulu.Com Apr 2012, 2012

About this Item

Neuware -Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox. 208 pp. Englisch.

Seller Inventory # 9781365060069

Bibliographic Details

• Title: Exploratory Data Analysis with R
• Publisher: Lulu.Com Apr 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 1365060063
• ISBN 13: 9781365060069
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 280W x 216H x 12D millimeters 280 millimeters width by 216 millimeters height by 12 millimeters depth
• Weight: 537 grams

About this title

Synopsis

Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.