Beginning data science in R : data analysis, visualization, and modelling for the data scientist /

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Data Science...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mailund, Thomas (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [New York, NY] : Apress, [2017]
Temas:
Quantitative research.
Recherche quantitative.
Programming & scripting languages: general.
Databases.
REFERENCE > Questions & Answers.
Quantitative research
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Introduction to R programming
  • Reproducible analysis
  • Data manipulation
  • Visualizing data
  • Working with large datasets
  • Supervised learning
  • Unsupervised learning
  • More R programming
  • Advanced R programming
  • Object oriented programming
  • Building an R package
  • Testing and package checking
  • Version control
  • Profiling and optimizing.

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