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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Boehmke, Ph.D., Bradley C. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Use R!,
Temas:
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.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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