Data Wrangling with R

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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Boehmke, Ph.D., Bradley C. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Use R!,
Subjects:
Mathematical statistics-Data processing.
Statistics .
Artificial intelligence-Data processing.
Quantitative research.
Information visualization.
Computer graphics.
Statistics and Computing.
Statistical Theory and Methods.
Data Science.
Data Analysis and Big Data.
Data and Information Visualization.
Computer Graphics.
Online Access:Texto Completo
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.

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