Beginning Data Science in R : Data Analysis, Visualization, and Modelling for the Data Scientist

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
Autor principal: Mailund, Thomas. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2017.
Edición:1st ed. 2017.
Materias:
Big data.
Programming languages (Electronic computers).
R (Computer program language).
Big Data.
Programming Languages, Compilers, Interpreters.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630326306719
Tabla de Contenidos:
  • 1. Introduction to R programming
  • 2. Reproducible analysis
  • 3. Data manipulation
  • 4. Visualizing and exploring data
  • 5. Working with large data sets
  • 6. Supervised learning
  • 7. Unsupervised learning
  • 8. More R programming
  • 9. Advanced R programming
  • 10. Object oriented programming
  • 11. Building an R package
  • 12. Testing and checking
  • 13. Version control
  • 14. Profiling and optimizing.

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