A data scientist's guide to acquiring, cleaning and managing data in R /
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. --
Clasificación: | Libro Electrónico |
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Autores principales: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Hoboken, NJ, USA :
Wiley,
2017.
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Colección: | ITpro collection
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Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 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.