A data scientist's guide to acquiring, cleaning and managing data in R /

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Providing both introductory and advanced techniques, this single-source guide to R data and its preparation, offers a unified, systematic approach to acquiring, modeling, manipulating, cleaning, and maintaining data in R. --

Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Buttrey, Samuel (Author), Whitaker, Lyn R. (Author)
Format: Electronic eBook
Language:Inglés
Published: Hoboken, NJ, USA : Wiley, 2017.
Series:ITpro collection
Subjects:
Database design > Computer programs.
Data editing > Computer programs.
Input design, Computer.
Electronic data processing > Data preparation.
Database management.
R (Computer program language)
Programming languages (Electronic computers)
Electronic Data Processing
Numerical Analysis, Computer-Assisted
Mathematical Computing
Programming Languages
Bases de données > Conception > Logiciels.
Édition (Informatique) > Logiciels.
Saisie des données (Informatique) > Organisation.
Préparation des données (Informatique)
Bases de données > Gestion.
R (Langage de programmation)
Informatique.
Langages de programmation.
COMPUTERS > Databases > General.
Data editing > Computer programs
Database management
Electronic data processing > Data preparation
Input design, Computer
Internet Resources.
Online Access:Texto completo
Texto completo
Table of Contents:
  • 1. R
  • 2. R data, part 1: vectors
  • 3. R data, part 2: more complicated structures
  • 4. R data, part 3: text and factors
  • 5. Writing functions and scripts
  • 6. Getting data into and out of R
  • 7. Data handling in practice
  • 8. Extended exercise
  • A. Hints and pseudocode
  • Bibliography
  • Index.

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