Beginning Data Science with R

Beginning Data Science with R

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a€œWe live in the age of data. In the last few years, the methodology of extracting insights from data or qdata scienceq has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library. The goal of a€œBeginning Data Science with Ra€ is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.3.1 Comma-separated values (CSV) file: cars.csv make, model, trim, year, price, mpg Honda, Civic, LX, 2012, 17633, 28 Honda, Civic, LX, 2013, 19346, 28 Honda, Accord, EX-L, 2013, 25609, 21 Toyota, Corolla, LE, 2013, 16821, 26 Aston Martin, DB9 , Coupe, 2012, 189915, 12 is data imputation, where ... format to a machine readable format: automated optical character recognition (OCR) or using manual transcription.

Title:Beginning Data Science with R
Author:Manas A. Pathak
Publisher:Springer - 2014-12-08


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