Data Wrangling with R

• Main Author: Boehmke, Ph.D., Bradley C. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Series: Use R!,
• Subjects: Statistics.; Big data.; Data structures (Computer science).; Computer graphics.; Mathematics.; Visualization.; Statistics and Computing/Statistics Programs.; Statistical Theory and Methods.; Data Structures.; Big Data/Analytics.; Computer Graphics.

This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as...

Table of Contents:

• Preface
• Introduction
• Working with Different Types of Data in R
• Managing Data Structures in R
• Importing, Scraping, and Exporting Data with R
• Creating Efficient & Readable Code in R
• Shaping & Transforming Your Data with R.